diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..89f80bebcb07d6a0a997c5d8e1119eb3342f5e10 --- /dev/null +++ b/.gitignore @@ -0,0 +1 @@ +pretrain_weights/ \ No newline at end of file diff --git a/app.py b/app.py new file mode 100644 index 0000000000000000000000000000000000000000..fb2db4c922a8aa83419a9c70f9469d5b81a1db29 --- /dev/null +++ b/app.py @@ -0,0 +1,82 @@ +import gradio as gr +from feature_combiner import FeatureCombiner +from pipeline import Pipeline_demo +# 数据集选择字典 +DATASETS = { + "angiography.CHUAC": "CHUAC dataset", + "angiography.DCA1": "DCA1 dataset", + "angiography.XCAD": "XCAD dataset", + "retina.DRIVE": "DRIVE dataset", + "retina.CHASEDB1": "CHASEDB1 dataset", + "crack.Crack500": "Crack500 dataset" +} + +JSON_FILES = { + "crack":"dataset_curvilinear/crack/crack.json", + "angiography":"dataset_curvilinear/angiography/angiography.json", + "retina":"dataset_curvilinear/retina/retina.json" +} + +is_cpu= True +pipeline_demo = Pipeline_demo(is_cpu=is_cpu) + +def generate_prompts(dataset): + """ + 根据选择的数据集生成prompts。 + 返回semantic map prompt和image prompt。 + """ + + json_index = dataset.split(".")[0] + json_file = JSON_FILES[json_index] + fc = FeatureCombiner(json_file, DATASETS[dataset]) + caption_seg, caption_img = fc.combine() + return caption_seg, caption_img + +def generate_semantic_map(semantic_map_prompt): + """ + 根据semantic map prompt生成semantic map。 + 返回semantic map的图像。 + """ + # 示例函数体，你需要填充实际的图像生成逻辑 + return pipeline_demo.generate_semantic_map(semantic_map_prompt) + + +def generate_image(image_prompt,semantic_map_image): + """ + 根据image prompt生成图像。 + 返回生成的图像。 + """ + # 示例函数体，你需要填充实际的图像生成逻辑 + return pipeline_demo.generate_image(image_prompt, semantic_map_image) + +with gr.Blocks() as demo: + gr.Markdown("# DEMO for Expanding Curvilinear Object Segmentation datasets") + with gr.Row(): + with gr.Column(scale=1): + dataset_dropdown = gr.Dropdown(label="Select Dataset", choices=list(DATASETS.keys()),value="crack.Crack500") + generate_prompts_button = gr.Button("1. Generate Prompts") + gr.Markdown(""" + #### Process: + 1. Generate Prompts + 2. Generate Semantic Map based on the prompt + 3. Generate Image based on the prompt and Semantic Map + NOTE: The time it takes for the CPU provided by Huggingface to complete the generation is too long. It is recommended that users modify is_cpu=False in app.py to deploy on their own devices. + """) + with gr.Column(scale=2): + semantic_map_prompt_text = gr.Textbox(label="Semantic Map Prompt", lines=5, placeholder="Semantic map prompt will be shown here...", interactive=True) + image_prompt_text = gr.Textbox(label="Image Prompt", lines=5, placeholder="Image prompt will be shown here...", interactive=True) + + with gr.Row(): + with gr.Column(scale=1): + generate_semantic_map_button = gr.Button("2. Generate Semantic Map") + semantic_map_image = gr.Image(width=512, height=512, label="Semantic Map",interactive=False) + with gr.Column(scale=1): + generate_image_button = gr.Button("3. Generate Image") + generated_image = gr.Image(width=512, height=512, label="Generated Image") + + # 绑定函数 + generate_prompts_button.click(generate_prompts, inputs=[dataset_dropdown], outputs=[semantic_map_prompt_text, image_prompt_text]) + generate_semantic_map_button.click(generate_semantic_map, inputs=[semantic_map_prompt_text], outputs=[semantic_map_image]) + generate_image_button.click(generate_image, inputs=[image_prompt_text,semantic_map_image], outputs=[generated_image]) + +demo.launch() diff --git a/dataset_curvilinear/angiography/CHUAC/test/annotations/13gt.png b/dataset_curvilinear/angiography/CHUAC/test/annotations/13gt.png new file mode 100644 index 0000000000000000000000000000000000000000..246a8d7b908a4013eb5eeec442af535c3a0e94bc Binary files /dev/null and b/dataset_curvilinear/angiography/CHUAC/test/annotations/13gt.png differ diff --git a/dataset_curvilinear/angiography/CHUAC/test/annotations/14gt.png b/dataset_curvilinear/angiography/CHUAC/test/annotations/14gt.png new 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b/dataset_curvilinear/angiography/angiography.json new file mode 100644 index 0000000000000000000000000000000000000000..d9e67aa2dd405859cd7536c418250dc4dd00fa2f --- /dev/null +++ b/dataset_curvilinear/angiography/angiography.json @@ -0,0 +1,5543 @@ +[ + { + "image": "CHUAC/training/images/0img.png", + "caption": "Grayscale X-ray of patient's chest cardiovascular system; CHUAC dataset; Angiography central, upper half of image; Variable-sized vessels with prominent main coronary arteries and diminishing branches; Arteries exhibit elongated, branching shapes with normal vascular distribution and no stenosis or occlusion;", + "overview": "Grayscale X-ray of patient's chest cardiovascular system.", + "dataset": "CHUAC dataset", + "location": "Angiography central, upper half of image.", + "size": "Variable-sized vessels with prominent main coronary arteries and diminishing branches.", + "trend_shape": "Arteries exhibit elongated, branching shapes with normal vascular distribution and no stenosis or occlusion.", + "background": "Low-contrast dark X-ray background." + }, + { + "image": "CHUAC/training/images/10img.png", + "caption": "Monochromatic X-ray image of contrast-enhanced coronary arteries; CHUAC dataset; Central coronary angiography highlights arteries against a low-density background; Coronary angiography shows vessel size variation, with potential tapering or stenosis; Coronary vessels exhibit a meandering pattern with varying curvature radii, resembling the coronary arterial tree;", + "overview": "Monochromatic X-ray image of contrast-enhanced coronary arteries.", + "dataset": "CHUAC dataset", + "location": "Central coronary angiography highlights arteries against a low-density background.", + "size": "Coronary angiography shows vessel size variation, with potential tapering or stenosis.", + "trend_shape": "Coronary vessels exhibit a meandering pattern with varying curvature radii, resembling the coronary arterial tree.", + "background": "Homogenous, diffuse background contrasts vascular structures." + }, + { + "image": "CHUAC/training/images/11img.png", + "caption": "High-contrast vascular X-ray image; CHUAC dataset; Upper center; Variable-sized vessels with prominent main arteries; Tortuous main coronary artery with curvilinear and branching patterns, showing arterial bifurcations and smaller vessels;", + "overview": "High-contrast vascular X-ray image.", + "dataset": "CHUAC dataset", + "location": "Upper center", + "size": "Variable-sized vessels with prominent main arteries.", + "trend_shape": "Tortuous main coronary artery with curvilinear and branching patterns, showing arterial bifurcations and smaller vessels.", + "background": "Gray background with soft tissue shadows." + }, + { + "image": "CHUAC/training/images/12img.png", + "caption": "A grayscale X-ray coronary angiography image; CHUAC dataset; The coronary angiography is centrally located; The angiography demonstrates medium to large-sized coronary vessels; The vessels show a tortuous trend and curvilinear shape; Homogeneous grayscale background;", + "overview": "A grayscale X-ray coronary angiography image;", + "dataset": "CHUAC dataset;", + "location": "The coronary angiography is centrally located;", + "size": "The angiography demonstrates medium to large-sized coronary vessels;", + "trend_shape": "The vessels show a tortuous trend and curvilinear shape;", + "background": "Homogeneous grayscale background." + }, + { + "image": "CHUAC/training/images/1img.png", + "caption": "Coronary angiogram; CHUAC dataset; Coronary angiography of left coronary artery system; Large coronary arteries with branches 2-4 mm proximally, tapering distally; Smooth arteries with normal calibre and flow;", + "overview": "Coronary angiogram.", + "dataset": "CHUAC dataset", + "location": "Coronary angiography of left coronary artery system.", + "size": "Large coronary arteries with branches 2-4 mm proximally, tapering distally", + "trend_shape": "Smooth arteries with normal calibre and flow.", + "background": "Unremarkable homogeneous background with minimal artifacts." + }, + { + "image": "CHUAC/training/images/22img.png", + "caption": "Coronary angiography X-ray image; CHUAC dataset; Central coronary angiogram predominantly in middle third; Arteries of varying sizes, main artery largest, branching vessels taper smaller; Arteries have a winding pattern with curved and straight segments, branching like a tree;", + "overview": "Coronary angiography X-ray image", + "dataset": "CHUAC dataset", + "location": "Central coronary angiogram predominantly in middle third.", + "size": "Arteries of varying sizes, main artery largest, branching vessels taper smaller.", + "trend_shape": "Arteries have a winding pattern with curved and straight segments, branching like a tree.", + "background": "Uniform background with faint mottling and lack of features." + }, + { + "image": "CHUAC/training/images/24img.png", + "caption": "X-ray image displaying coronary arteries with contrast; CHUAC dataset; Coronary angiography centralized in the image, predominantly in the upper half; Variable vessel diameter ranging from very thin to moderately thick; Arteries showing multiple branching patterns, curved and linear segments with tortuosity; Uniform grayscale background with minimal artifacts;", + "overview": "X-ray image displaying coronary arteries with contrast;", + "dataset": "CHUAC dataset;", + "location": "Coronary angiography centralized in the image, predominantly in the upper half;", + "size": "Variable vessel diameter ranging from very thin to moderately thick;", + "trend_shape": "Arteries showing multiple branching patterns, curved and linear segments with tortuosity;", + "background": "Uniform grayscale background with minimal artifacts." + }, + { + "image": "CHUAC/training/images/25img.png", + "caption": "Coronary artery angiogram; CHUAC dataset; Coronary angiography visible centrally, branching vessels ascending right; Angiography reveals vessels of varying sizes, with prominent arteries and finer branches; Coronary vessels form a complex network with sinuous linear and curvilinear segments, bulbous and tapering shapes;", + "overview": "Coronary artery angiogram.", + "dataset": "CHUAC dataset", + "location": "Coronary angiography visible centrally, branching vessels ascending right.", + "size": "Angiography reveals vessels of varying sizes, with prominent arteries and finer branches.", + "trend_shape": "Coronary vessels form a complex network with sinuous linear and curvilinear segments, bulbous and tapering shapes.", + "background": "Translucent, uniform background with subtle structure." + }, + { + "image": "CHUAC/training/images/26img.png", + "caption": "Cardiac angiogram X-ray; CHUAC dataset; Central image: top left corner branches towards center and right; Variable-sized vessels with prominent main arteries and diminished secondary branches; Tortuous vasculature with smooth and irregular contours; curvilinear arteries with bifurcations and branching;", + "overview": "Cardiac angiogram X-ray.", + "dataset": "CHUAC dataset", + "location": "Central image: top left corner branches towards center and right.", + "size": "Variable-sized vessels with prominent main arteries and diminished secondary branches.", + "trend_shape": "Tortuous vasculature with smooth and irregular contours; curvilinear arteries with bifurcations and branching.", + "background": "Low-contrast grey backdrop with catheter and cardiac silhouette." + }, + { + "image": "CHUAC/training/images/27img.png", + "caption": "Coronary X-ray image; CHUAC dataset; Central coronary angiography reveals arterial structure; Coronary arteries vary in size, larger at the main branches and smaller at the peripheries; Coronary arteries are tortuous and branching, with varying contours (smooth/irregular/narrowed);", + "overview": "Coronary X-ray image.", + "dataset": "CHUAC dataset", + "location": "Central coronary angiography reveals arterial structure.", + "size": "Coronary arteries vary in size, larger at the main branches and smaller at the peripheries.", + "trend_shape": "Coronary arteries are tortuous and branching, with varying contours (smooth/irregular/narrowed).", + "background": "Thoracic anatomy (bones, tissue) visible as faint structures in low-contrast background." + }, + { + "image": "CHUAC/training/images/28img.png", + "caption": "Monochrome X-ray image shows vascular structures and surrounding tissues; CHUAC dataset; Coronary angiography: main vessel bifurcates bottom left to upper right; Angiography shows vessels of varying sizes; primary vessel larger, secondary branches smaller; Tortuous coronary vessels display smooth curves and branching patterns;", + "overview": "Monochrome X-ray image shows vascular structures and surrounding tissues.", + "dataset": "CHUAC dataset", + "location": "Coronary angiography: main vessel bifurcates bottom left to upper right.", + "size": "Angiography shows vessels of varying sizes; primary vessel larger, secondary branches smaller.", + "trend_shape": "Tortuous coronary vessels display smooth curves and branching patterns.", + "background": "Homogeneous soft tissue densities with no distinct features." + }, + { + "image": "CHUAC/training/images/29img.png", + "caption": "Heart X-ray with contrast; CHUAC dataset; Coronary angiography is mainly visible at center and upper left of image; Coronary arteries vary in size, with the main branch several millimeters wide; Coronary angiography shows sinuous and branched vessels with corkscrew and linear patterns;", + "overview": "Heart X-ray with contrast", + "dataset": "CHUAC dataset", + "location": "Coronary angiography is mainly visible at center and upper left of image.", + "size": "Coronary arteries vary in size, with the main branch several millimeters wide.", + "trend_shape": "Coronary angiography shows sinuous and branched vessels with corkscrew and linear patterns.", + "background": "Uniform background maximizes angiography contrast." + }, + { + "image": "CHUAC/training/images/2img.png", + "caption": "Monochromatic X-ray image with contrast-enhanced coronary arteries; CHUAC dataset; Coronary angiography diagonal, upper-left to lower-right; Arterial branches vary in size; main vessels ~2-5 mm diameter; Tortuous arteries branch in a complex tree-like pattern;", + "overview": "Monochromatic X-ray image with contrast-enhanced coronary arteries", + "dataset": "CHUAC dataset", + "location": "Coronary angiography diagonal, upper-left to lower-right.", + "size": "Arterial branches vary in size; main vessels ~2-5 mm diameter.", + "trend_shape": "Tortuous arteries branch in a complex tree-like pattern.", + "background": "Grey backdrop with tissue shadows." + }, + { + "image": "CHUAC/training/images/3img.png", + "caption": "Grayscale X-ray coronary angiography shows heart outline with visible coronary arteries; CHUAC dataset; Angiography overlays heart silhouette; Coronary angiography has a tree-like structure with branches varying in size; Tortuous coronary arteries course across the heart surface, predominantly curved with smooth contours;", + "overview": "Grayscale X-ray coronary angiography shows heart outline with visible coronary arteries.", + "dataset": "CHUAC dataset", + "location": "Angiography overlays heart silhouette.", + "size": "Coronary angiography has a tree-like structure with branches varying in size.", + "trend_shape": "Tortuous coronary arteries course across the heart surface, predominantly curved with smooth contours.", + "background": "Dark background contrasts white lines." + }, + { + "image": "CHUAC/training/images/4img.png", + "caption": "Monochromatic X-ray image of coronary arteries; CHUAC dataset; Coronary angiography, left heart view, centrally located; Coronary angiography reveals arteries of varying diameter; Main coronary artery has a smooth trajectory with branched vessels extending linearly, featuring delicate bifurcations and subtle curvature;", + "overview": "Monochromatic X-ray image of coronary arteries.", + "dataset": "CHUAC dataset", + "location": "Coronary angiography, left heart view, centrally located.", + "size": "Coronary angiography reveals arteries of varying diameter.", + "trend_shape": "Main coronary artery has a smooth trajectory with branched vessels extending linearly, featuring delicate bifurcations and subtle curvature.", + "background": "Grayscale background with soft tissue shadows." + }, + { + "image": "CHUAC/training/images/5img.png", + "caption": "Coronary angiography X-ray; CHUAC dataset; Visible upper left coronary angiography; Angiography shows vessels of varying sizes; Tortuous vessels with curved/straight segments and contrast-filled structure indicating coronary artery;", + "overview": "Coronary angiography X-ray.", + "dataset": "CHUAC dataset", + "location": "Visible upper left coronary angiography.", + "size": "Angiography shows vessels of varying sizes.", + "trend_shape": "Tortuous vessels with curved/straight segments and contrast-filled structure indicating coronary artery.", + "background": "Hazy, featureless background." + }, + { + "image": "CHUAC/training/images/6img.png", + "caption": "Coronary artery X-ray with contrast; CHUAC dataset; Angiography shows heart vessels centrally; Arteries: prominent main, tapering branches; Coronary angiography shows a branching structure with smooth, linear, and curved segments;", + "overview": "Coronary artery X-ray with contrast.", + "dataset": "CHUAC dataset", + "location": "Angiography shows heart vessels centrally.", + "size": "Arteries: prominent main, tapering branches.", + "trend_shape": "Coronary angiography shows a branching structure with smooth, linear, and curved segments.", + "background": "Gray, subtly textured background." + }, + { + "image": "CHUAC/training/images/7img.png", + "caption": "Coronary angiogram with contrast; CHUAC dataset; Coronary angiography: central-upper left image; Significant vessel caliber evident; Serpentine, tubular coronary arteries with slight tapering and curvature;", + "overview": "Coronary angiogram with contrast.", + "dataset": "CHUAC dataset", + "location": "Coronary angiography: central-upper left image.", + "size": "Significant vessel caliber evident.", + "trend_shape": "Serpentine, tubular coronary arteries with slight tapering and curvature.", + "background": "Uniform background enhances angiographic detail visibility." + }, + { + "image": "CHUAC/training/images/8img.png", + "caption": "Coronary angiography image; CHUAC dataset; Central right image, branching top-right; Variable vessel diameter, narrowing to widening, with main branches at several mm; Sinuous vessels with smooth contours and bifurcations;", + "overview": "Coronary angiography image.", + "dataset": "CHUAC dataset", + "location": "Central right image, branching top-right", + "size": "Variable vessel diameter, narrowing to widening, with main branches at several mm", + "trend_shape": "Sinuous vessels with smooth contours and bifurcations", + "background": "Featureless background with soft tissue shadowing." + }, + { + "image": "CHUAC/training/images/9img.png", + "caption": "X-ray image showing coronary arteries filled with contrast medium; CHUAC dataset; Coronary angiography visible in the center of the image, slightly towards the left; Coronary arteries ranging from 2 to 4 mm in visible diameter; Coronary arteries exhibit a serpentine and branching pattern with smooth contours; Homogenous greyscale background with soft tissue shadows;", + "overview": "X-ray image showing coronary arteries filled with contrast medium;", + "dataset": "CHUAC dataset;", + "location": "Coronary angiography visible in the center of the image, slightly towards the left;", + "size": "Coronary arteries ranging from 2 to 4 mm in visible diameter;", + "trend_shape": "Coronary arteries exhibit a serpentine and branching pattern with smooth contours;", + "background": "Homogenous greyscale background with soft tissue shadows." + }, + { + "image": "CHUAC/training/annotations/0gt.png", + "caption": "GT map of coronary tree from X-ray angiography; CHUAC dataset; Central semantic map extends from top to bottom with branching structures; Semantic map spans image height with varying widths due to artery branching; Arterial branches resemble thin, branching tree patterns;", + "overview": "GT map of coronary tree from X-ray angiography", + "dataset": "CHUAC dataset", + "location": "Central semantic map extends from top to bottom with branching structures.", + "size": "Semantic map spans image height with varying widths due to artery branching.", + "trend_shape": "Arterial branches resemble thin, branching tree patterns." + }, + { + "image": "CHUAC/training/annotations/4gt.png", + "caption": "Image: Semantic map (GT) of coronary system; CHUAC dataset; Semantic map: upper image half, structures mostly upper left; Moderate map size: half image, with negative space; Semantic map forks like an artery, narrowing and turning downward with side branches angling off;", + "overview": "Image: Semantic map (GT) of coronary system.", + "dataset": "CHUAC dataset", + "location": "Semantic map: upper image half, structures mostly upper left.", + "size": "Moderate map size: half image, with negative space.", + "trend_shape": "Semantic map forks like an artery, narrowing and turning downward with side branches angling off." + }, + { + "image": "CHUAC/training/annotations/11gt.png", + "caption": "Groundtruth semantic map of coronary angiography image; CHUAC dataset; White lines on black background form a map in the image's center and top; Heart-shaped map dominates image, centered and upper; Coronary artery branching pattern, with major and minor vessels, converging from the bottom center;", + "overview": "Groundtruth semantic map of coronary angiography image", + "dataset": "CHUAC dataset", + "location": "White lines on black background form a map in the image's center and top.", + "size": "Heart-shaped map dominates image, centered and upper.", + "trend_shape": "Coronary artery branching pattern, with major and minor vessels, converging from the bottom center." + }, + { + "image": "CHUAC/training/annotations/12gt.png", + "caption": "BW semantic map of X-ray coronary angiography, delineating arteries from background; CHUAC dataset; Central semantic map leans left, occupying upper third of image; Large semantic map with main arterial structure extending top center to lower regions, branching vessels varying in length and width; Semantic map resembles a tree-like vascular structure with a central vessel and multiple branches;", + "overview": "BW semantic map of X-ray coronary angiography, delineating arteries from background.", + "dataset": "CHUAC dataset", + "location": "Central semantic map leans left, occupying upper third of image.", + "size": "Large semantic map with main arterial structure extending top center to lower regions, branching vessels varying in length and width.", + "trend_shape": "Semantic map resembles a tree-like vascular structure with a central vessel and multiple branches." + }, + { + "image": "CHUAC/training/annotations/1gt.png", + "caption": "X-ray coronary angiography GT representation; CHUAC dataset; Map central, occupying most image area; Medium-sized semantic map with precise outlines; Semantic map branches like coronary arteries, indicating flow paths;", + "overview": "X-ray coronary angiography GT representation.", + "dataset": "CHUAC dataset", + "location": "Map central, occupying most image area.", + "size": "Medium-sized semantic map with precise outlines.", + "trend_shape": "Semantic map branches like coronary arteries, indicating flow paths." + }, + { + "image": "CHUAC/training/annotations/22gt.png", + "caption": "High-contrast semantic map (GT) of X-ray coronary angiography vascular structures; CHUAC dataset; Black-backed semantic map central in image; Semantic map covers most image space, but exact dimensions unknown from image; Coronary artery-like branching pattern with bifurcations and varying vessel widths from a central artery;", + "overview": "High-contrast semantic map (GT) of X-ray coronary angiography vascular structures", + "dataset": "CHUAC dataset", + "location": "Black-backed semantic map central in image.", + "size": "Semantic map covers most image space, but exact dimensions unknown from image.", + "trend_shape": "Coronary artery-like branching pattern with bifurcations and varying vessel widths from a central artery." + }, + { + "image": "CHUAC/training/annotations/24gt.png", + "caption": "X-ray coronary angiography semantic map showcasing vascular structures; CHUAC dataset; Centralized semantic map fills most of the image; Semantic map spans image frame boundaries; Dendritic semantic map features tree-like branching vessels;", + "overview": "X-ray coronary angiography semantic map showcasing vascular structures", + "dataset": "CHUAC dataset", + "location": "Centralized semantic map fills most of the image.", + "size": "Semantic map spans image frame boundaries.", + "trend_shape": "Dendritic semantic map features tree-like branching vessels." + }, + { + "image": "CHUAC/training/annotations/25gt.png", + "caption": "Coronary artery semantic map or ground truth from X-ray angiography; CHUAC dataset; Central semantic map with clear white lines on black in upper image half; Large semantic map with thick primary artery and branching arteries of varying length and thickness; Complex vascular structure with linear/curvilinear patterns, resembling coronary artery tree with variations in curvature/angulation;", + "overview": "Coronary artery semantic map or ground truth from X-ray angiography.", + "dataset": "CHUAC dataset", + "location": "Central semantic map with clear white lines on black in upper image half.", + "size": "Large semantic map with thick primary artery and branching arteries of varying length and thickness.", + "trend_shape": "Complex vascular structure with linear/curvilinear patterns, resembling coronary artery tree with variations in curvature/angulation." + }, + { + "image": "CHUAC/training/annotations/26gt.png", + "caption": "Simplified semantic map of X-ray coronary angiography (GT); CHUAC dataset; Central semantic map occupies majority of image, excluding edges; Extensive semantic map with interconnected lines varying in thickness forms a complex network in the image center; Multi-directional trend shows intricate branching and curvature of coronary arteries;", + "overview": "Simplified semantic map of X-ray coronary angiography (GT).", + "dataset": "CHUAC dataset", + "location": "Central semantic map occupies majority of image, excluding edges.", + "size": "Extensive semantic map with interconnected lines varying in thickness forms a complex network in the image center.", + "trend_shape": "Multi-directional trend shows intricate branching and curvature of coronary arteries." + }, + { + "image": "CHUAC/training/annotations/27gt.png", + "caption": "GT vascular map of X-ray coronary angiography image; CHUAC dataset; Central semantic map on black background; Semantic map occupies most of image space; Complex branching vascular system resembling a tree with a lower focal point;", + "overview": "GT vascular map of X-ray coronary angiography image", + "dataset": "CHUAC dataset", + "location": "Central semantic map on black background.", + "size": "Semantic map occupies most of image space.", + "trend_shape": "Complex branching vascular system resembling a tree with a lower focal point." + }, + { + "image": "CHUAC/training/annotations/28gt.png", + "caption": "GT map of arterial structure from coronary angiography; CHUAC dataset; Central semantic map occupies most image space with clear boundaries and high background contrast; Medium-sized semantic map with vertical arterial structure and branching; Semantic map features linear vertical path with branching vascular patterns;", + "overview": "GT map of arterial structure from coronary angiography", + "dataset": "CHUAC dataset", + "location": "Central semantic map occupies most image space with clear boundaries and high background contrast.", + "size": "Medium-sized semantic map with vertical arterial structure and branching.", + "trend_shape": "Semantic map features linear vertical path with branching vascular patterns." + }, + { + "image": "CHUAC/training/annotations/29gt.png", + "caption": "X-ray coronary angiography ground truth map; CHUAC dataset; Central semantic map dominates image space; Semantic map covers 60-70% of image; Coronary artery network shows bifurcating arteries with varying thickness and linear/curved segments;", + "overview": "X-ray coronary angiography ground truth map", + "dataset": "CHUAC dataset", + "location": "Central semantic map dominates image space.", + "size": "Semantic map covers 60-70% of image.", + "trend_shape": "Coronary artery network shows bifurcating arteries with varying thickness and linear/curved segments." + }, + { + "image": "CHUAC/training/annotations/2gt.png", + "caption": "High-contrast, monochromatic GT map of X-ray coronary angiography; CHUAC dataset; Semantic map centrally located on a black background; Map covers image's three-quarters height and half width, featuring variable line thickness for coronary arteries; Coronary vasculature map depicts complex curvilinear structure, mimicking angiographic anatomy;", + "overview": "High-contrast, monochromatic GT map of X-ray coronary angiography", + "dataset": "CHUAC dataset", + "location": "Semantic map centrally located on a black background.", + "size": "Map covers image's three-quarters height and half width, featuring variable line thickness for coronary arteries.", + "trend_shape": "Coronary vasculature map depicts complex curvilinear structure, mimicking angiographic anatomy." + }, + { + "image": "CHUAC/training/annotations/3gt.png", + "caption": "GT of X-ray coronary angiography with distinct lines; CHUAC dataset; Image-centered semantic map dominates space; Irregular map with varying line thickness, unknown absolute size due to lack of scale, with lines ranging from thin to slightly thicker contours; Complex, branching vascular structure with primary vertical and bifurcating vessels, resembling coronary arteries;", + "overview": "GT of X-ray coronary angiography with distinct lines.", + "dataset": "CHUAC dataset", + "location": "Image-centered semantic map dominates space.", + "size": "Irregular map with varying line thickness, unknown absolute size due to lack of scale, with lines ranging from thin to slightly thicker contours.", + "trend_shape": "Complex, branching vascular structure with primary vertical and bifurcating vessels, resembling coronary arteries." + }, + { + "image": "CHUAC/training/annotations/5gt.png", + "caption": "Vascular map extracted from an X-ray coronary angiography image; CHUAC dataset; Image-centric semantic map dominates image space; Medium-sized semantic map with full-height major branches and smaller minor branches; Semantic map resembles branching arterial tree, with trunk and primary/secondary branches of various shapes;", + "overview": "Vascular map extracted from an X-ray coronary angiography image.", + "dataset": "CHUAC dataset", + "location": "Image-centric semantic map dominates image space.", + "size": "Medium-sized semantic map with full-height major branches and smaller minor branches.", + "trend_shape": "Semantic map resembles branching arterial tree, with trunk and primary/secondary branches of various shapes." + }, + { + "image": "CHUAC/training/annotations/6gt.png", + "caption": "Semantic GT map of an X-ray coronary angiogram; CHUAC dataset; Semantic map centered in the frame; Semantic map occupies most of image space, with ample margin; Complex branching coronary arterial tree with varying thickness;", + "overview": "Semantic GT map of an X-ray coronary angiogram.", + "dataset": "CHUAC dataset", + "location": "Semantic map centered in the frame.", + "size": "Semantic map occupies most of image space, with ample margin.", + "trend_shape": "Complex branching coronary arterial tree with varying thickness." + }, + { + "image": "CHUAC/training/annotations/7gt.png", + "caption": "GT of coronary angiography; CHUAC dataset; Dark-background semantic map centered mid-image; Longitudinal map with varying thickness, representing vessel paths; Lines depict sinuous trajectories with curves and turns, mimicking coronary artery patterns;", + "overview": "GT of coronary angiography", + "dataset": "CHUAC dataset", + "location": "Dark-background semantic map centered mid-image.", + "size": "Longitudinal map with varying thickness, representing vessel paths.", + "trend_shape": "Lines depict sinuous trajectories with curves and turns, mimicking coronary artery patterns." + }, + { + "image": "CHUAC/training/annotations/8gt.png", + "caption": "X-ray coronary angiogram semantic map; CHUAC dataset; Semantic map spans image center to edges; Semantic map size varies, with line thicknesses indicating vessel calibers; Semantic map reveals coronary artery pattern with smooth curves and bifurcations, mirroring vasculature anatomy;", + "overview": "X-ray coronary angiogram semantic map", + "dataset": "CHUAC dataset", + "location": "Semantic map spans image center to edges.", + "size": "Semantic map size varies, with line thicknesses indicating vessel calibers.", + "trend_shape": "Semantic map reveals coronary artery pattern with smooth curves and bifurcations, mirroring vasculature anatomy." + }, + { + "image": "CHUAC/test/images/13img.png", + "caption": "Coronary angiography image; CHUAC dataset; Centralized coronary angiography prominently displays the left coronary artery system; Angiography shows varying arterial sizes reflecting the hierarchy; Sinuous, tapering vessels branch like typical coronary arteries;", + "overview": "Coronary angiography image", + "dataset": "CHUAC dataset", + "location": "Centralized coronary angiography prominently displays the left coronary artery system.", + "size": "Angiography shows varying arterial sizes reflecting the hierarchy.", + "trend_shape": "Sinuous, tapering vessels branch like typical coronary arteries.", + "background": "Faintly visible soft tissue and skeletal structures on uniform, low-contrast background." + }, + { + "image": "CHUAC/test/images/14img.png", + "caption": "Coronary angiography with contrast material; CHUAC dataset; Coronary angiography: central location; major arteries radiating from aorta; Tree-like coronary arteries taper from 2-4 mm diameter; Dominant LCA with prominent LAD and LCX branches, slight atherosclerotic changes, patent lumens with smooth flow;", + "overview": "Coronary angiography with contrast material", + "dataset": "CHUAC dataset", + "location": "Coronary angiography: central location; major arteries radiating from aorta.", + "size": "Tree-like coronary arteries taper from 2-4 mm diameter.", + "trend_shape": "Dominant LCA with prominent LAD and LCX branches, slight atherosclerotic changes, patent lumens with smooth flow.", + "background": "Low contrast background with faint cardiomediastinal outlines." + }, + { + "image": "CHUAC/test/images/15img.png", + "caption": "Coronary angiogram; CHUAC dataset; Coronary angiography central; Major vessels are 2-4mm apparent diameter; Complex, tortuous branching with bifurcations; LCA, LAD, and LCx arteries visible via angiography;", + "overview": "Coronary angiogram.", + "dataset": "CHUAC dataset", + "location": "Coronary angiography central.", + "size": "Major vessels are 2-4mm apparent diameter.", + "trend_shape": "Complex, tortuous branching with bifurcations; LCA, LAD, and LCx arteries visible via angiography.", + "background": "Greyscale background showing cardiac silhouette and thorax." + }, + { + "image": "CHUAC/test/images/16img.png", + "caption": "Monochromatic X-ray coronary angiography; CHUAC dataset; Coronary angiography displays arteries branching from the aorta's base; Coronary arteries range in size, with thicker mains and finer, less visible distal branches; Arteries curve smoothly from wide origins to narrow ends;", + "overview": "Monochromatic X-ray coronary angiography.", + "dataset": "CHUAC dataset", + "location": "Coronary angiography displays arteries branching from the aorta's base.", + "size": "Coronary arteries range in size, with thicker mains and finer, less visible distal branches.", + "trend_shape": "Arteries curve smoothly from wide origins to narrow ends.", + "background": "Gray-shaded anatomical outlines on dark background." + }, + { + "image": "CHUAC/test/images/17img.png", + "caption": "Cardiac contrast-enhanced X-ray angiogram; CHUAC dataset; Coronary angiography prominently branches center, upwards, leftward; Coronary arteries vary in size, from larger proximal to finer distal branches; Angiography shows a tortuous tree-like branching pattern with smooth contours;", + "overview": "Cardiac contrast-enhanced X-ray angiogram", + "dataset": "CHUAC dataset", + "location": "Coronary angiography prominently branches center, upwards, leftward.", + "size": "Coronary arteries vary in size, from larger proximal to finer distal branches.", + "trend_shape": "Angiography shows a tortuous tree-like branching pattern with smooth contours.", + "background": "Homogenous radiolucent background with faint anatomical outlines." + }, + { + "image": "CHUAC/test/images/18img.png", + "caption": "Monochrome contrast-enhanced X-ray image of coronary arteries; CHUAC dataset; Coronary angiography depicts the heart's arterial network; Variable vessel diameters, ranging from narrow to moderate; Tortuous arteries with potential blockages due to atherosclerosis;", + "overview": "Monochrome contrast-enhanced X-ray image of coronary arteries", + "dataset": "CHUAC dataset", + "location": "Coronary angiography depicts the heart's arterial network.", + "size": "Variable vessel diameters, ranging from narrow to moderate.", + "trend_shape": "Tortuous arteries with potential blockages due to atherosclerosis.", + "background": "Dark, noise-minimal background." + }, + { + "image": "CHUAC/test/images/21img.png", + "caption": "Monochrome X-ray of the heart's arteries; CHUAC dataset; Coronary angiography, upper half, left-centered; Coronary angiography reveals vessels of varying sizes, including prominent main arteries and finer branches; Arteries branch and narrow from insertion point to heart, with smooth curvature;", + "overview": "Monochrome X-ray of the heart's arteries.", + "dataset": "CHUAC dataset", + "location": "Coronary angiography, upper half, left-centered.", + "size": "Coronary angiography reveals vessels of varying sizes, including prominent main arteries and finer branches.", + "trend_shape": "Arteries branch and narrow from insertion point to heart, with smooth curvature.", + "background": "Thoracic cavity silhouette on background." + }, + { + "image": "CHUAC/test/images/23img.png", + "caption": "Coronary angiogram; CHUAC dataset; Coronary angiography prominent in upper image; Size varies with coronary artery size; Arteries branch curvilinearly, tapering from larger to smaller calibers toward the periphery;", + "overview": "Coronary angiogram.", + "dataset": "CHUAC dataset", + "location": "Coronary angiography prominent in upper image.", + "size": "Size varies with coronary artery size.", + "trend_shape": "Arteries branch curvilinearly, tapering from larger to smaller calibers toward the periphery.", + "background": "Soft tissue shadows on grayscale background." + }, + { + "image": "CHUAC/test/annotations/13gt.png", + "caption": "B&W image of semantic coronary angiography map/GT; CHUAC dataset; Semantic map centers image; Medium-sized semantic map with varying line thicknesses; Map resembles coronary artery network with branching and curves;", + "overview": "B&W image of semantic coronary angiography map/GT", + "dataset": "CHUAC dataset", + "location": "Semantic map centers image.", + "size": "Medium-sized semantic map with varying line thicknesses.", + "trend_shape": "Map resembles coronary artery network with branching and curves." + }, + { + "image": "CHUAC/test/annotations/14gt.png", + "caption": "X-ray angiography image segmentation map (vascular GT); CHUAC dataset; Semantic map dominates black image background; Semantic map occupies a large portion of the image; Semantic map resembles tree-like vascular structures with varying widths and curves;", + "overview": "X-ray angiography image segmentation map (vascular GT).", + "dataset": "CHUAC dataset", + "location": "Semantic map dominates black image background.", + "size": "Semantic map occupies a large portion of the image.", + "trend_shape": "Semantic map resembles tree-like vascular structures with varying widths and curves." + }, + { + "image": "CHUAC/test/annotations/15gt.png", + "caption": "Semantic GT map of X-ray coronary angiography; CHUAC dataset; Central map fills most of the image, focusing on upper center; Large semantic map with vessels branching and decreasing in size near image edges; Coronary artery network exhibits complex curved lines with varying bifurcations, lengths, and curvatures;", + "overview": "Semantic GT map of X-ray coronary angiography.", + "dataset": "CHUAC dataset", + "location": "Central map fills most of the image, focusing on upper center.", + "size": "Large semantic map with vessels branching and decreasing in size near image edges.", + "trend_shape": "Coronary artery network exhibits complex curved lines with varying bifurcations, lengths, and curvatures." + }, + { + "image": "CHUAC/test/annotations/16gt.png", + "caption": "Coronary artery structure map (GT) from X-ray angiography; CHUAC dataset; Central map covers image mid-sections with slight peripheral extensions; Semantic map fills moderate image space, leaving significant negative space; Vessels show a branching, curvilinear pattern from thick primary to thin tertiary branches;", + "overview": "Coronary artery structure map (GT) from X-ray angiography", + "dataset": "CHUAC dataset", + "location": "Central map covers image mid-sections with slight peripheral extensions.", + "size": "Semantic map fills moderate image space, leaving significant negative space.", + "trend_shape": "Vessels show a branching, curvilinear pattern from thick primary to thin tertiary branches." + }, + { + "image": "CHUAC/test/annotations/17gt.png", + "caption": "X-ray coronary angiography map with labeled arteries used for model training; CHUAC dataset; Central semantic map dominates view, presenting clear 2D coronary arteries; Large semantic map represents coronary arteries vertically and horizontally in image center; Semantic map resembles coronary arteries with typical branching, tapering, and bifurcations, reflecting cardiac vasculature's anatomy;", + "overview": "X-ray coronary angiography map with labeled arteries used for model training.", + "dataset": "CHUAC dataset", + "location": "Central semantic map dominates view, presenting clear 2D coronary arteries.", + "size": "Large semantic map represents coronary arteries vertically and horizontally in image center.", + "trend_shape": "Semantic map resembles coronary arteries with typical branching, tapering, and bifurcations, reflecting cardiac vasculature's anatomy." + }, + { + "image": "CHUAC/test/annotations/18gt.png", + "caption": "Simplified GT semantic map of coronary angiography for vessel segmentation; CHUAC dataset; Central semantic map dominates visual field; Semantic map fills almost the entire image area; Complex semantic map with multiple branches and variations in diameter, resembling natural coronary vasculature;", + "overview": "Simplified GT semantic map of coronary angiography for vessel segmentation.", + "dataset": "CHUAC dataset", + "location": "Central semantic map dominates visual field.", + "size": "Semantic map fills almost the entire image area.", + "trend_shape": "Complex semantic map with multiple branches and variations in diameter, resembling natural coronary vasculature." + }, + { + "image": "CHUAC/test/annotations/19gt.png", + "caption": "GT semantic map of coronary angiography image; CHUAC dataset; Semantic map in image's center, mainly occupying top two-thirds; Coronary vessels outlined in white on black semantic map; Vascular map exhibits vessel bifurcation, linear extension, and curvature indicative of coronary arteries;", + "overview": "GT semantic map of coronary angiography image.", + "dataset": "CHUAC dataset", + "location": "Semantic map in image's center, mainly occupying top two-thirds.", + "size": "Coronary vessels outlined in white on black semantic map.", + "trend_shape": "Vascular map exhibits vessel bifurcation, linear extension, and curvature indicative of coronary arteries." + }, + { + "image": "CHUAC/test/annotations/21gt.png", + "caption": "Ground truth map from X-ray coronary angiography image; CHUAC dataset; Semantic map outlines coronary arteries, majority concentrated centrally; Coronary representation varies in width from 1 to 5 pixels; its height spans the image; Arterial structures show curvilinear branching patterns with bifurcations, mixing long main vessels and short smaller branches;", + "overview": "Ground truth map from X-ray coronary angiography image.", + "dataset": "CHUAC dataset", + "location": "Semantic map outlines coronary arteries, majority concentrated centrally.", + "size": "Coronary representation varies in width from 1 to 5 pixels; its height spans the image.", + "trend_shape": "Arterial structures show curvilinear branching patterns with bifurcations, mixing long main vessels and short smaller branches." + }, + { + "image": "CHUAC/test/annotations/23gt.png", + "caption": "X-ray coronary angiography map representing vascular ground truth (GT); CHUAC dataset; Sparse distribution in upper and center, lower part less so; Map shows varying vessel thickness, with diagonal lines; Branched coronary arteries with smooth curves and sharp angles;", + "overview": "X-ray coronary angiography map representing vascular ground truth (GT).", + "dataset": "CHUAC dataset", + "location": "Sparse distribution in upper and center, lower part less so.", + "size": "Map shows varying vessel thickness, with diagonal lines.", + "trend_shape": "Branched coronary arteries with smooth curves and sharp angles." + }, + { + "image": "DCA1/training/images/0img.png", + "caption": "X-ray coronary arteries image; DCA1 dataset; Coronary angiography visible centrally, extending anterosuperiorly; Coronary angiography reveals vessels with variable diameters (1-5 mm); Arteries exhibit branching with curved, tortuous segments, tapering from proximal to distal;", + "overview": "X-ray coronary arteries image", + "dataset": "DCA1 dataset", + "location": "Coronary angiography visible centrally, extending anterosuperiorly.", + "size": "Coronary angiography reveals vessels with variable diameters (1-5 mm).", + "trend_shape": "Arteries exhibit branching with curved, tortuous segments, tapering from proximal to distal.", + "background": "Gray backdrop with soft contrast." + }, + { + "image": "DCA1/training/images/101img.png", + "caption": "Coronary angiogram image; DCA1 dataset; Central coronary angiography shows left and right coronary arteries; Coronary angiography shows arteries with variable luminal diameters; Angiography shows normal coronary anatomy;", + "overview": "Coronary angiogram image.", + "dataset": "DCA1 dataset", + "location": "Central coronary angiography shows left and right coronary arteries.", + "size": "Coronary angiography shows arteries with variable luminal diameters.", + "trend_shape": "Angiography shows normal coronary anatomy.", + "background": "Homogeneous, slightly grainy X-ray background." + }, + { + "image": "DCA1/training/images/103img.png", + "caption": "Monochrome coronary angiogram; DCA1 dataset; Central angiography; Coronary angiography shows vessels of diameters ranging from 2-4mm; Tortuous coronary arteries exhibit smooth curves and sharp angles indicating anatomical variations;", + "overview": "Monochrome coronary angiogram.", + "dataset": "DCA1 dataset", + "location": "Central angiography.", + "size": "Coronary angiography shows vessels of diameters ranging from 2-4mm.", + "trend_shape": "Tortuous coronary arteries exhibit smooth curves and sharp angles indicating anatomical variations.", + "background": "Grayscale background." + }, + { + "image": "DCA1/training/images/105img.png", + "caption": "Grayscale medical image of coronary circulation; DCA1 dataset; Coronary angiography: left coronary artery system displayed centrally; Angiogram reveals vessels of varying calibers, main trunk 3-4 mm tapering to smaller branches; Arteries tortuous but normal, no occlusions;", + "overview": "Grayscale medical image of coronary circulation.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography: left coronary artery system displayed centrally.", + "size": "Angiogram reveals vessels of varying calibers, main trunk 3-4 mm tapering to smaller branches.", + "trend_shape": "Arteries tortuous but normal, no occlusions.", + "background": "Gray, low-contrast bg, artifacts present." + }, + { + "image": "DCA1/training/images/107img.png", + "caption": "Coronary angiography X-ray shows heart's coronary arteries; DCA1 dataset; Coronary angiography centrally located, with main arteries visible and branching out; Coronary angiography shows prominent main vessels and tapering secondary branches covering a large image area; Normal coronary artery distribution with smooth branching, no stenosis;", + "overview": "Coronary angiography X-ray shows heart's coronary arteries.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography centrally located, with main arteries visible and branching out.", + "size": "Coronary angiography shows prominent main vessels and tapering secondary branches covering a large image area.", + "trend_shape": "Normal coronary artery distribution with smooth branching, no stenosis.", + "background": "Soft tissue density, no discernible structures." + }, + { + "image": "DCA1/training/images/109img.png", + "caption": "Cardiac silhouette and coronary arteries on post-contrast X-ray; DCA1 dataset; Central coronary angiography visualized vertical midline traversing before curving superiorly; Variable vessel size, broader proximally, tapering distally; Trend shows smooth progression with natural curvatures and branching typical of arterial vasculature;", + "overview": "Cardiac silhouette and coronary arteries on post-contrast X-ray.", + "dataset": "DCA1 dataset", + "location": "Central coronary angiography visualized vertical midline traversing before curving superiorly.", + "size": "Variable vessel size, broader proximally, tapering distally.", + "trend_shape": "Trend shows smooth progression with natural curvatures and branching typical of arterial vasculature.", + "background": "Grey background with low-detail anatomy." + }, + { + "image": "DCA1/training/images/111img.png", + "caption": "Coronary angiogram; DCA1 dataset; Coronary angiography evident centrally, predominating inferiorly; Variably sized, prominent main branches taper peripherally; Tortuous, curvilinear, smooth-walled branching vessels;", + "overview": "Coronary angiogram.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography evident centrally, predominating inferiorly.", + "size": "Variably sized, prominent main branches taper peripherally.", + "trend_shape": "Tortuous, curvilinear, smooth-walled branching vessels", + "background": "Homogenous, low-contrast background with no features." + }, + { + "image": "DCA1/training/images/114img.png", + "caption": "Monochrome cardiovascular X-ray image; DCA1 dataset; Coronary angiogram shows the heart's left coronary arteries; Moderate coronary angiography reveals major arteries and branches; Angiogram reveals normal vessel anatomy with no abnormalities;", + "overview": "Monochrome cardiovascular X-ray image", + "dataset": "DCA1 dataset", + "location": "Coronary angiogram shows the heart's left coronary arteries.", + "size": "Moderate coronary angiography reveals major arteries and branches.", + "trend_shape": "Angiogram reveals normal vessel anatomy with no abnormalities.", + "background": "Uniform dark background with subtle grayscale variations consistent with soft tissue and out-of-focus structures." + }, + { + "image": "DCA1/training/images/115img.png", + "caption": "Coronary artery in cardiac tissue; DCA1 dataset; Coronary angiography displayed centrally, mainly upper image half; Coronary angiography shows varying vessel calibers, with main branches around 2-4 mm wide; Branched vessels with tortuosity and varying contours;", + "overview": "Coronary artery in cardiac tissue.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography displayed centrally, mainly upper image half.", + "size": "Coronary angiography shows varying vessel calibers, with main branches around 2-4 mm wide.", + "trend_shape": "Branched vessels with tortuosity and varying contours", + "background": "Dark background contrasts highlighted coronary structures." + }, + { + "image": "DCA1/training/images/117img.png", + "caption": "Coronary angiography X-ray; DCA1 dataset; Coronary angiogram shows a central network of contrast-filled vessels; Vessels range from 1-2 mm to 3-4 mm in caliber; Angiography shows sinuous curves indicative of natural coronary artery curvatures and branching;", + "overview": "Coronary angiography X-ray", + "dataset": "DCA1 dataset", + "location": "Coronary angiogram shows a central network of contrast-filled vessels.", + "size": "Vessels range from 1-2 mm to 3-4 mm in caliber.", + "trend_shape": "Angiography shows sinuous curves indicative of natural coronary artery curvatures and branching.", + "background": "Uniform, indistinct background contrasts highlighted coronary angiography." + }, + { + "image": "DCA1/training/images/119img.png", + "caption": "Monochromatic X-ray of contrast-enhanced coronary arteries; DCA1 dataset; Angiography shows a branching vascular structure over the heart; Angiography reveals arteries of varying diameters, major vessels being wider than smaller distal branches; Coronary angiography shows sinuous, curvilinear vessels with potential vascular pathology;", + "overview": "Monochromatic X-ray of contrast-enhanced coronary arteries.", + "dataset": "DCA1 dataset", + "location": "Angiography shows a branching vascular structure over the heart.", + "size": "Angiography reveals arteries of varying diameters, major vessels being wider than smaller distal branches.", + "trend_shape": "Coronary angiography shows sinuous, curvilinear vessels with potential vascular pathology.", + "background": "Gray background with low contrast and subtle shadows." + }, + { + "image": "DCA1/training/images/121img.png", + "caption": "Coronary angiography; DCA1 dataset; Coronary angiography shows left coronary artery system with LAD and circumflex arteries; Coronary arteries vary in size, with the prominent left anterior descending artery measuring ~2-4 mm in diameter; Coronary arteries branch sinuously, with descending artery curving and smaller branches narrowing;", + "overview": "Coronary angiography", + "dataset": "DCA1 dataset", + "location": "Coronary angiography shows left coronary artery system with LAD and circumflex arteries.", + "size": "Coronary arteries vary in size, with the prominent left anterior descending artery measuring ~2-4 mm in diameter.", + "trend_shape": "Coronary arteries branch sinuously, with descending artery curving and smaller branches narrowing.", + "background": "Uniform, grey background shows soft tissues and cardiac silhouette." + }, + { + "image": "DCA1/training/images/123img.png", + "caption": "Monochrome angiographic X-ray image; DCA1 dataset; Coronary angiography centrally located, main arterial structures visible mid to upper; Coronary artery size varies, indicating vessel diameter variation or branching; Complex vascular structure with convoluted branching and abrupt turns indicative of arterial pathway;", + "overview": "Monochrome angiographic X-ray image.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography centrally located, main arterial structures visible mid to upper.", + "size": "Coronary artery size varies, indicating vessel diameter variation or branching.", + "trend_shape": "Complex vascular structure with convoluted branching and abrupt turns indicative of arterial pathway.", + "background": "Grey background, low contrast, angiography details emphasized." + }, + { + "image": "DCA1/training/images/125img.png", + "caption": "Coronary angiogram; DCA1 dataset; Coronary arteries branch downward from the center; Vessel size varies, with proximal segments wider; Sinuous arteries taper peripherally with smooth contours;", + "overview": "Coronary angiogram", + "dataset": "DCA1 dataset", + "location": "Coronary arteries branch downward from the center.", + "size": "Vessel size varies, with proximal segments wider.", + "trend_shape": "Sinuous arteries taper peripherally with smooth contours.", + "background": "Homogeneous dark background with minimal artifacts." + }, + { + "image": "DCA1/training/images/127img.png", + "caption": "X-ray coronary image; DCA1 dataset; Coronary angiography shows major coronary vessels; Variable vessel size with prominent main arteries tapering into smaller branches; Complex branching pattern with smooth curves and bifurcations of coronary artery;", + "overview": "X-ray coronary image", + "dataset": "DCA1 dataset", + "location": "Coronary angiography shows major coronary vessels.", + "size": "Variable vessel size with prominent main arteries tapering into smaller branches.", + "trend_shape": "Complex branching pattern with smooth curves and bifurcations of coronary artery.", + "background": "Homogeneous gray background with soft tissue shadows." + }, + { + "image": "DCA1/training/images/129img.png", + "caption": "Coronary angiography X-ray image with high contrast; DCA1 dataset; Angiography shows upper arterial network; Coronary angiography reveals arteries of varying sizes, with prominent main artery and visible smaller branches; Tortuous coronary vessels with smooth curves, bifurcations, and complex branching;", + "overview": "Coronary angiography X-ray image with high contrast.", + "dataset": "DCA1 dataset", + "location": "Angiography shows upper arterial network.", + "size": "Coronary angiography reveals arteries of varying sizes, with prominent main artery and visible smaller branches.", + "trend_shape": "Tortuous coronary vessels with smooth curves, bifurcations, and complex branching.", + "background": "Uniform, dark background contrasts vascular structures." + }, + { + "image": "DCA1/training/images/131img.png", + "caption": "X-ray coronary angiography image with high blood vessel contrast; DCA1 dataset; Central coronary angiography, middle image, branching vessels extending peripherally; Vessel size ranges from prominent main trunk to smaller branches tapering at the image's edge; Angiography reveals smooth trend with mild curves in larger vessels; smaller branches exhibit delicate, tortuous shape;", + "overview": "X-ray coronary angiography image with high blood vessel contrast.", + "dataset": "DCA1 dataset", + "location": "Central coronary angiography, middle image, branching vessels extending peripherally.", + "size": "Vessel size ranges from prominent main trunk to smaller branches tapering at the image's edge.", + "trend_shape": "Angiography reveals smooth trend with mild curves in larger vessels; smaller branches exhibit delicate, tortuous shape.", + "background": "Dark, uniform background contrasts with the highlighted vasculature." + }, + { + "image": "DCA1/training/images/133img.png", + "caption": "Gray-scale X-ray image of heart arteries using contrast; DCA1 dataset; Coronary angiogram shows left and right coronary arteries and their branches; Coronary vessels range from 1-4 mm in width; Arteries exhibit curvilinear, tortuous patterns; left coronary branches into LAD and circumflex arteries with natural curves, while right coronary extends with serpentine shape;", + "overview": "Gray-scale X-ray image of heart arteries using contrast", + "dataset": "DCA1 dataset", + "location": "Coronary angiogram shows left and right coronary arteries and their branches.", + "size": "Coronary vessels range from 1-4 mm in width.", + "trend_shape": "Arteries exhibit curvilinear, tortuous patterns; left coronary branches into LAD and circumflex arteries with natural curves, while right coronary extends with serpentine shape.", + "background": "Dark background enhances angiographic contrast." + }, + { + "image": "DCA1/training/images/136img.png", + "caption": "X-ray image of human heart's arteries filled with contrast; DCA1 dataset; Angiography visualizes left heart including left coronary arteries; Coronary vessel size varies, with proximal segments wider than distal segments; Coronary arteries exhibit a curved, branching pattern; left anterior descending extends downwards, circumflex branches sideways;", + "overview": "X-ray image of human heart's arteries filled with contrast.", + "dataset": "DCA1 dataset", + "location": "Angiography visualizes left heart including left coronary arteries.", + "size": "Coronary vessel size varies, with proximal segments wider than distal segments.", + "trend_shape": "Coronary arteries exhibit a curved, branching pattern; left anterior descending extends downwards, circumflex branches sideways.", + "background": "Gray X-ray background enhances vessel contrast." + }, + { + "image": "DCA1/training/images/137img.png", + "caption": "Chest X-ray with contrast-enhanced coronary arteries; DCA1 dataset; Coronary angiogram shows prominent central vessel extending left; Arteries 2-4 mm with branching vessels; Normal coronary artery with smooth trajectory, arborized branches, and no stenosis;", + "overview": "Chest X-ray with contrast-enhanced coronary arteries", + "dataset": "DCA1 dataset", + "location": "Coronary angiogram shows prominent central vessel extending left.", + "size": "Arteries 2-4 mm with branching vessels.", + "trend_shape": "Normal coronary artery with smooth trajectory, arborized branches, and no stenosis.", + "background": "Unremarkable gray background." + }, + { + "image": "DCA1/training/images/139img.png", + "caption": "Grayscale image with enhanced arteries; DCA1 dataset; Coronary angiogram displays a branching vascular pattern; Caliber varies, with some narrow segments; Tortuous, bifurcating vessels with abrupt diameter changes indicate irregularities;", + "overview": "Grayscale image with enhanced arteries.", + "dataset": "DCA1 dataset", + "location": "Coronary angiogram displays a branching vascular pattern.", + "size": "Caliber varies, with some narrow segments.", + "trend_shape": "Tortuous, bifurcating vessels with abrupt diameter changes indicate irregularities.", + "background": "Homogenous gray background with subtle textural variations." + }, + { + "image": "DCA1/training/images/141img.png", + "caption": "Cardiac angiogram; DCA1 dataset; Coronary angiography is centered, slightly rightward, and occupies the middle visual field third; Coronary angiography image size is large, with vessels spanning most of its dimensions; Complex branching coronary arteries with thick main artery tapering to curvilinear peripheral branches;", + "overview": "Cardiac angiogram.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography is centered, slightly rightward, and occupies the middle visual field third.", + "size": "Coronary angiography image size is large, with vessels spanning most of its dimensions.", + "trend_shape": "Complex branching coronary arteries with thick main artery tapering to curvilinear peripheral branches.", + "background": "Grayscale field with soft tissue and bony chest structure shadows." + }, + { + "image": "DCA1/training/images/143img.png", + "caption": "High-contrast X-ray image of heart's coronary arteries; DCA1 dataset; Coronary angiography shows multiple branching vessels; Coronary angiography size appears normal despite image limitations; Tortuous and branching arteries have varying calibers and curvilinear shapes;", + "overview": "High-contrast X-ray image of heart's coronary arteries.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography shows multiple branching vessels.", + "size": "Coronary angiography size appears normal despite image limitations.", + "trend_shape": "Tortuous and branching arteries have varying calibers and curvilinear shapes.", + "background": "Gray background with soft tissue densities." + }, + { + "image": "DCA1/training/images/145img.png", + "caption": "Enhanced heart artery X-ray; DCA1 dataset; Central coronary angiography shows left coronary artery system; Coronary angiography shows vessels of varying sizes, main artery ~2-3 mm tapering to smaller branches; Angiography shows normal flow in tortuous vessel with smooth contours;", + "overview": "Enhanced heart artery X-ray", + "dataset": "DCA1 dataset", + "location": "Central coronary angiography shows left coronary artery system.", + "size": "Coronary angiography shows vessels of varying sizes, main artery ~2-3 mm tapering to smaller branches.", + "trend_shape": "Angiography shows normal flow in tortuous vessel with smooth contours.", + "background": "Dark background enhances angiographic contrast." + }, + { + "image": "DCA1/training/images/147img.png", + "caption": "Monochromatic X-ray image: coronary artery network; DCA1 dataset; Coronary angiogram is centrally located, occupying the upper image half; Varies in width, no uniform size across branches; Arteries branch tortuously from a main trunk;", + "overview": "Monochromatic X-ray image: coronary artery network.", + "dataset": "DCA1 dataset", + "location": "Coronary angiogram is centrally located, occupying the upper image half.", + "size": "Varies in width, no uniform size across branches.", + "trend_shape": "Arteries branch tortuously from a main trunk.", + "background": "Homogenous soft tissue density background." + }, + { + "image": "DCA1/training/images/149img.png", + "caption": "Coronary angiography X-ray showcasing cardiac vasculature; DCA1 dataset; Central coronary angiography, right-dominant; Coronary angiography shows vessels ranging from visible main branches to capillary networks; Arborescent vasculature with curvilinear, smooth, and tortuous sections;", + "overview": "Coronary angiography X-ray showcasing cardiac vasculature", + "dataset": "DCA1 dataset", + "location": "Central coronary angiography, right-dominant.", + "size": "Coronary angiography shows vessels ranging from visible main branches to capillary networks.", + "trend_shape": "Arborescent vasculature with curvilinear, smooth, and tortuous sections.", + "background": "Uniform dark void." + }, + { + "image": "DCA1/training/images/153img.png", + "caption": "Coronary angiography with contrast; DCA1 dataset; Coronary angiography visible in upper left quadrant, with main trunk extending diagonally from top to center-left; Vessel size is variable, with the main coronary artery wider than the distal branches; Arteries have a tree-like pattern with varying branch curvatures;", + "overview": "Coronary angiography with contrast.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography visible in upper left quadrant, with main trunk extending diagonally from top to center-left.", + "size": "Vessel size is variable, with the main coronary artery wider than the distal branches.", + "trend_shape": "Arteries have a tree-like pattern with varying branch curvatures.", + "background": "Gray background with X-ray penetration and tissue density variations." + }, + { + "image": "DCA1/training/images/155img.png", + "caption": "Coronary artery image from contrast-enhanced grayscale; DCA1 dataset; Angiography visible in upper central image; Variable coronary artery branch sizes (2-4 mm diameter); Arteries normal, no stenosis;", + "overview": "Coronary artery image from contrast-enhanced grayscale.", + "dataset": "DCA1 dataset", + "location": "Angiography visible in upper central image.", + "size": "Variable coronary artery branch sizes (2-4 mm diameter).", + "trend_shape": "Arteries normal, no stenosis.", + "background": "Dark, structureless background." + }, + { + "image": "DCA1/training/images/158img.png", + "caption": "X-ray image of heart's arteries; DCA1 dataset; Central coronary angiography, predominantly upper; Variable diameters within normal coronary anatomy; Complex angiographic network displays curvilinear and branching patterns, with smooth and tapered vessel contours;", + "overview": "X-ray image of heart's arteries.", + "dataset": "DCA1 dataset", + "location": "Central coronary angiography, predominantly upper.", + "size": "Variable diameters within normal coronary anatomy.", + "trend_shape": "Complex angiographic network displays curvilinear and branching patterns, with smooth and tapered vessel contours.", + "background": "Dark, low-opacity background." + }, + { + "image": "DCA1/training/images/159img.png", + "caption": "Enhanced grayscale coronary X-ray; DCA1 dataset; Central coronary angiogram displays heart's arteries; Varies in width from 1-5 mm, reflecting the tapering of coronary arteries as they branch; Tree-like angiography shows arteries with bifurcations and mixed line segments;", + "overview": "Enhanced grayscale coronary X-ray.", + "dataset": "DCA1 dataset", + "location": "Central coronary angiogram displays heart's arteries.", + "size": "Varies in width from 1-5 mm, reflecting the tapering of coronary arteries as they branch.", + "trend_shape": "Tree-like angiography shows arteries with bifurcations and mixed line segments.", + "background": "Dark gray background with subtle shading." + }, + { + "image": "DCA1/training/images/161img.png", + "caption": "Blurred grayscale cardiac X-ray; DCA1 dataset; Coronary angiography occupies middle third of image; Coronary angiography provides a magnified view of fine arterial details; Coronary angiography reveals branching, dilation, and narrowing of blood vessels;", + "overview": "Blurred grayscale cardiac X-ray.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography occupies middle third of image.", + "size": "Coronary angiography provides a magnified view of fine arterial details.", + "trend_shape": "Coronary angiography reveals branching, dilation, and narrowing of blood vessels.", + "background": "Gray background." + }, + { + "image": "DCA1/training/images/163img.png", + "caption": "Angiogram image of contrast-filled coronary arteries; DCA1 dataset; Coronary angiography shows the left heart, with the left coronary artery system; Coronary angiography shows arteries of variable sizes, with the largest branches several millimeters in diameter; Coronary arteries have a normal sinuous and tapering pattern with smooth contours and no blockages;", + "overview": "Angiogram image of contrast-filled coronary arteries", + "dataset": "DCA1 dataset", + "location": "Coronary angiography shows the left heart, with the left coronary artery system.", + "size": "Coronary angiography shows arteries of variable sizes, with the largest branches several millimeters in diameter.", + "trend_shape": "Coronary arteries have a normal sinuous and tapering pattern with smooth contours and no blockages.", + "background": "Low contrast background with X-ray artifacts." + }, + { + "image": "DCA1/training/images/165img.png", + "caption": "Coronary artery network enhanced X-ray image; DCA1 dataset; Central coronary angiography covering left image portion; Coronary angiography shows arteries of varying sizes, with main artery and smaller branches; Main artery smoothly curved; branching vessels tortuous with linear and curvilinear segments;", + "overview": "Coronary artery network enhanced X-ray image", + "dataset": "DCA1 dataset", + "location": "Central coronary angiography covering left image portion.", + "size": "Coronary angiography shows arteries of varying sizes, with main artery and smaller branches.", + "trend_shape": "Main artery smoothly curved; branching vessels tortuous with linear and curvilinear segments.", + "background": "Dark background contrasts highlighted vasculature." + }, + { + "image": "DCA1/training/images/167img.png", + "caption": "Arterial heart X-ray; DCA1 dataset; Coronary angiography central; Vessel calibers range from fine to medium; Branching coronary arteries have smooth contours, with a main vessel coursing bottom left to upper right and secondary branches extending peripherally;", + "overview": "Arterial heart X-ray.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography central.", + "size": "Vessel calibers range from fine to medium.", + "trend_shape": "Branching coronary arteries have smooth contours, with a main vessel coursing bottom left to upper right and secondary branches extending peripherally.", + "background": "Dark, uniform backdrop." + }, + { + "image": "DCA1/training/images/169img.png", + "caption": "Cardiac X-ray; DCA1 dataset; Coronary angiography focuses on the left coronary artery system; Coronary angiography reveals varying vessel sizes, main artery ~2-4 mm with tapering branches; Angiography shows a complex arterial network with a curvilinear trend; the left coronary artery branches into the left anterior descending and circumflex arteries;", + "overview": "Cardiac X-ray", + "dataset": "DCA1 dataset", + "location": "Coronary angiography focuses on the left coronary artery system.", + "size": "Coronary angiography reveals varying vessel sizes, main artery ~2-4 mm with tapering branches.", + "trend_shape": "Angiography shows a complex arterial network with a curvilinear trend; the left coronary artery branches into the left anterior descending and circumflex arteries.", + "background": "Dark, low-contrast background." + }, + { + "image": "DCA1/training/images/171img.png", + "caption": "X-ray of contrast-filled coronary arteries; DCA1 dataset; Coronary angiography focuses on left coronary artery system; Branches vary in size from large to small; Upward left trend with tree-like branching; vessels taper with smooth contours and no stenosis;", + "overview": "X-ray of contrast-filled coronary arteries", + "dataset": "DCA1 dataset", + "location": "Coronary angiography focuses on left coronary artery system.", + "size": "Branches vary in size from large to small.", + "trend_shape": "Upward left trend with tree-like branching; vessels taper with smooth contours and no stenosis.", + "background": "Uniform, dark angiographic background." + }, + { + "image": "DCA1/training/images/173img.png", + "caption": "Monochromatic coronary angiogram; DCA1 dataset; Central arterial branching structures; Varies 2-4mm wide, spanning image; Arteries have curved structures with branching and varying contours;", + "overview": "Monochromatic coronary angiogram.", + "dataset": "DCA1 dataset", + "location": "Central arterial branching structures.", + "size": "Varies 2-4mm wide, spanning image.", + "trend_shape": "Arteries have curved structures with branching and varying contours.", + "background": "Grey background, minimal noise." + }, + { + "image": "DCA1/training/images/175img.png", + "caption": "Coronary artery visualization via contrast X-ray; DCA1 dataset; Coronary angiography mostly in upper image half; Angiography reveals arterial network with diameters 1-4 mm; Tortuous arteries with intricate branching, showing areas of stenosis;", + "overview": "Coronary artery visualization via contrast X-ray.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography mostly in upper image half.", + "size": "Angiography reveals arterial network with diameters 1-4 mm.", + "trend_shape": "Tortuous arteries with intricate branching, showing areas of stenosis.", + "background": "Uniform, dark background enhances angiography contrast." + }, + { + "image": "DCA1/training/images/177img.png", + "caption": "X-ray image showing contrast-filled coronary arteries; DCA1 dataset; Coronary angiography is centrally located within the image, displaying primary branches; Varies with larger proximal arteries and finer distal branches; Arteries exhibit a tortuous course with varying curvature and branching angles; Homogeneous gray background with gradient shadows;", + "overview": "X-ray image showing contrast-filled coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located within the image, displaying primary branches;", + "size": "Varies with larger proximal arteries and finer distal branches;", + "trend_shape": "Arteries exhibit a tortuous course with varying curvature and branching angles;", + "background": "Homogeneous gray background with gradient shadows." + }, + { + "image": "DCA1/training/images/180img.png", + "caption": "Monochromatic X-ray image of human cardiovascular system; DCA1 dataset; Coronary angiography central, occupying upper and middle portions; Variable vessel size, with narrowing in some segments; Tortuous vessel path with smooth and angular bends, contrast defines lumen, indicating flow and integrity;", + "overview": "Monochromatic X-ray image of human cardiovascular system", + "dataset": "DCA1 dataset", + "location": "Coronary angiography central, occupying upper and middle portions.", + "size": "Variable vessel size, with narrowing in some segments.", + "trend_shape": "Tortuous vessel path with smooth and angular bends, contrast defines lumen, indicating flow and integrity.", + "background": "Gray, featureless background." + }, + { + "image": "DCA1/training/images/181img.png", + "caption": "High-contrast X-ray of coronary arteries; DCA1 dataset; Angiography prominent in image center; Variable vessel size with main coronary artery diameter ranging from 2-5 mm; Coronary angiography shows curvilinear trend with bifurcations but no lesions;", + "overview": "High-contrast X-ray of coronary arteries.", + "dataset": "DCA1 dataset", + "location": "Angiography prominent in image center.", + "size": "Variable vessel size with main coronary artery diameter ranging from 2-5 mm.", + "trend_shape": "Coronary angiography shows curvilinear trend with bifurcations but no lesions.", + "background": "Grey, featureless background." + }, + { + "image": "DCA1/training/images/183img.png", + "caption": "Coronary angiogram shows contrast-filled arteries; DCA1 dataset; Central angiography shows heart vessels; Vessel diameters range from small to medium; Angiography shows normal coronary anatomy with branching, smooth curves, and tapering;", + "overview": "Coronary angiogram shows contrast-filled arteries.", + "dataset": "DCA1 dataset", + "location": "Central angiography shows heart vessels.", + "size": "Vessel diameters range from small to medium.", + "trend_shape": "Angiography shows normal coronary anatomy with branching, smooth curves, and tapering.", + "background": "Dark background enhances angiography contrast." + }, + { + "image": "DCA1/training/images/185img.png", + "caption": "Coronary angiogram shows arteries filled with contrast; DCA1 dataset; Central angiography extending upper right quadrant; Coronary angiography shows vessel diameters ranging 1-4mm; Branched pattern with smooth curves and bifurcations, linear to arc-like trajectories;", + "overview": "Coronary angiogram shows arteries filled with contrast.", + "dataset": "DCA1 dataset", + "location": "Central angiography extending upper right quadrant.", + "size": "Coronary angiography shows vessel diameters ranging 1-4mm.", + "trend_shape": "Branched pattern with smooth curves and bifurcations, linear to arc-like trajectories", + "background": "Dark background with minimal noise." + }, + { + "image": "DCA1/training/images/187img.png", + "caption": "Monochrome X-ray image: coronary arteries with contrast; DCA1 dataset; Coronary angiogram: central location with upward and downward branching; Coronary angiography: variable vessel diameters from narrow to wide, indicating normal tapering and potential pathological narrowing; Dominant left coronary artery with prominent LAD and visible circumflex, featuring typical corkscrew appearance;", + "overview": "Monochrome X-ray image: coronary arteries with contrast", + "dataset": "DCA1 dataset", + "location": "Coronary angiogram: central location with upward and downward branching.", + "size": "Coronary angiography: variable vessel diameters from narrow to wide, indicating normal tapering and potential pathological narrowing.", + "trend_shape": "Dominant left coronary artery with prominent LAD and visible circumflex, featuring typical corkscrew appearance.", + "background": "Dark, featureless background highlighting vascular structures." + }, + { + "image": "DCA1/training/images/189img.png", + "caption": "B&W contrast arterial X-ray; DCA1 dataset; Coronary angiography prominent in top-right corner; Angiography reveals vessel caliber variation from medium to small in branching; Curvilinear vessel follows branching path resembling coronary arteries;", + "overview": "B&W contrast arterial X-ray", + "dataset": "DCA1 dataset", + "location": "Coronary angiography prominent in top-right corner.", + "size": "Angiography reveals vessel caliber variation from medium to small in branching.", + "trend_shape": "Curvilinear vessel follows branching path resembling coronary arteries.", + "background": "Translucent, low-artifact background." + }, + { + "image": "DCA1/training/images/191img.png", + "caption": "Coronary angiography; DCA1 dataset; Coronary angiography in upper left quadrant, with branches extending towards center and right; Variable-sized coronary arteries taper into smaller branches; Main coronary artery has smooth, curving course; smaller branches have intricate, sinuous patterns;", + "overview": "Coronary angiography.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography in upper left quadrant, with branches extending towards center and right.", + "size": "Variable-sized coronary arteries taper into smaller branches.", + "trend_shape": "Main coronary artery has smooth, curving course; smaller branches have intricate, sinuous patterns.", + "background": "Dark, uniform background contrasts angiography." + }, + { + "image": "DCA1/training/images/193img.png", + "caption": "Coronary angiogram; DCA1 dataset; Upper left quadrant, center of image; Variable-sized artery with main branch and tapering branches; Main coronary artery has smooth, gentle curve; branching arteries have intricate, fine shape;", + "overview": "Coronary angiogram", + "dataset": "DCA1 dataset", + "location": "Upper left quadrant, center of image.", + "size": "Variable-sized artery with main branch and tapering branches.", + "trend_shape": "Main coronary artery has smooth, gentle curve; branching arteries have intricate, fine shape.", + "background": "Dark, low-noise background." + }, + { + "image": "DCA1/training/images/195img.png", + "caption": "X-ray of contrast-filled coronary arteries; DCA1 dataset; Angiography visible in center and upper left quadrant; Coronary artery diameters vary, reflecting normal physiology; Coronary angiography reveals complex curvilinear networks, branching, and vessel tortuosity;", + "overview": "X-ray of contrast-filled coronary arteries.", + "dataset": "DCA1 dataset", + "location": "Angiography visible in center and upper left quadrant.", + "size": "Coronary artery diameters vary, reflecting normal physiology.", + "trend_shape": "Coronary angiography reveals complex curvilinear networks, branching, and vessel tortuosity.", + "background": "Clear grayscale background." + }, + { + "image": "DCA1/training/images/197img.png", + "caption": "Cardiac arterial X-ray image; DCA1 dataset; Coronary angiography showcases major coronary arteries; Coronary angiography: vessels of varying calibers, largest >2mm; Tortuous vessels with smooth and irregular contours suggest varied vessel wall conditions;", + "overview": "Cardiac arterial X-ray image", + "dataset": "DCA1 dataset", + "location": "Coronary angiography showcases major coronary arteries.", + "size": "Coronary angiography: vessels of varying calibers, largest >2mm.", + "trend_shape": "Tortuous vessels with smooth and irregular contours suggest varied vessel wall conditions.", + "background": "Homogeneous radiolucent background enhances vessel contrast." + }, + { + "image": "DCA1/training/images/199img.png", + "caption": "Grayscale X-ray of coronary arteries; DCA1 dataset; Coronary angiography seen extending to upper left quadrant; Angiography shows varying vessel sizes, with main artery most prominent and branches tapering; Main coronary artery curves smoothly, with tree-like branches exhibiting varying bends;", + "overview": "Grayscale X-ray of coronary arteries", + "dataset": "DCA1 dataset", + "location": "Coronary angiography seen extending to upper left quadrant.", + "size": "Angiography shows varying vessel sizes, with main artery most prominent and branches tapering.", + "trend_shape": "Main coronary artery curves smoothly, with tree-like branches exhibiting varying bends.", + "background": "Homogenous grayscale background with faint circular artifact." + }, + { + "image": "DCA1/training/images/1img.png", + "caption": "High-contrast X-ray image of coronary arteries; DCA1 dataset; Coronary angiography is centered upper left; Angiography shows vessels of varying sizes, from large coronaries to small branches; Coronary arteries exhibit smooth contours with branching, caliber tapering, and subtle curves;", + "overview": "High-contrast X-ray image of coronary arteries", + "dataset": "DCA1 dataset", + "location": "Coronary angiography is centered upper left.", + "size": "Angiography shows vessels of varying sizes, from large coronaries to small branches.", + "trend_shape": "Coronary arteries exhibit smooth contours with branching, caliber tapering, and subtle curves.", + "background": "Gray background with low noise, enhanced vascular visibility." + }, + { + "image": "DCA1/training/images/202img.png", + "caption": "Coronary angiography X-ray image; DCA1 dataset; Coronary angiogram of left coronary system; Coronary angiography reveals vessels of varying diameters, main artery ~3-4 mm, tapering to smaller branches; Arteries have a curvy path with smooth contours; left anterior descending artery descends before branching, while the circumflex artery follows a more curved trajectory;", + "overview": "Coronary angiography X-ray image.", + "dataset": "DCA1 dataset", + "location": "Coronary angiogram of left coronary system.", + "size": "Coronary angiography reveals vessels of varying diameters, main artery ~3-4 mm, tapering to smaller branches.", + "trend_shape": "Arteries have a curvy path with smooth contours; left anterior descending artery descends before branching, while the circumflex artery follows a more curved trajectory.", + "background": "Uniform, low-contrast background enhances coronary artery visibility." + }, + { + "image": "DCA1/training/images/203img.png", + "caption": "Chest X-ray showing coronary arteries; DCA1 dataset; Central region of image highlights coronary angiography; Arteries display size variation, with narrow segments; Coronary angiography reveals complex branching patterns of linear and curvilinear shapes;", + "overview": "Chest X-ray showing coronary arteries", + "dataset": "DCA1 dataset", + "location": "Central region of image highlights coronary angiography.", + "size": "Arteries display size variation, with narrow segments.", + "trend_shape": "Coronary angiography reveals complex branching patterns of linear and curvilinear shapes.", + "background": "Homogeneous background enhances angiography contrast." + }, + { + "image": "DCA1/training/images/205img.png", + "caption": "Enhanced coronary arteries X-ray; DCA1 dataset; Coronary angiography depicts cardiac vessels centrally; Coronary angiography reveals arteries of varying sizes, with major vessels prominent; Serpentine and branching coronary arteries taper from aorta to myocardium;", + "overview": "Enhanced coronary arteries X-ray.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography depicts cardiac vessels centrally.", + "size": "Coronary angiography reveals arteries of varying sizes, with major vessels prominent.", + "trend_shape": "Serpentine and branching coronary arteries taper from aorta to myocardium.", + "background": "Homogeneous dark field, consistent with soft tissue radiopacity on X-ray." + }, + { + "image": "DCA1/training/images/207img.png", + "caption": "Chest X-ray shows coronary arteries; DCA1 dataset; Angiography shows left coronary artery system; Coronary arteries range from 1-4mm; Coronary artery branching with potential narrowing;", + "overview": "Chest X-ray shows coronary arteries", + "dataset": "DCA1 dataset", + "location": "Angiography shows left coronary artery system.", + "size": "Coronary arteries range from 1-4mm.", + "trend_shape": "Coronary artery branching with potential narrowing.", + "background": "Low-contrast soft tissues and bony chest structures visualized." + }, + { + "image": "DCA1/training/images/209img.png", + "caption": "Cardiac X-ray angiography image; DCA1 dataset; Angiography image showing contrast-filled arteries; Coronary arteries vary in size from main to distal branches; Coronary arteries branch from proximal vessels to distal vasculature, adapting to cardiac anatomy with a sinuous shape;", + "overview": "Cardiac X-ray angiography image", + "dataset": "DCA1 dataset", + "location": "Angiography image showing contrast-filled arteries.", + "size": "Coronary arteries vary in size from main to distal branches.", + "trend_shape": "Coronary arteries branch from proximal vessels to distal vasculature, adapting to cardiac anatomy with a sinuous shape.", + "background": "Uniform radiolucent background contrasts vasculature." + }, + { + "image": "DCA1/training/images/211img.png", + "caption": "Human heart X-ray of coronary arteries; DCA1 dataset; Coronary angiography shows central arteries branching left and down; Enlarged main coronary artery with distal branching; Sinuous main artery branches into progressively finer vessels in a tree-like pattern;", + "overview": "Human heart X-ray of coronary arteries", + "dataset": "DCA1 dataset", + "location": "Coronary angiography shows central arteries branching left and down.", + "size": "Enlarged main coronary artery with distal branching.", + "trend_shape": "Sinuous main artery branches into progressively finer vessels in a tree-like pattern.", + "background": "Homogeneous background with low contrast accentuates vasculature." + }, + { + "image": "DCA1/training/images/213img.png", + "caption": "Coronary angiogram; DCA1 dataset; Coronary angiogram depicts left coronary arteries; Angiography reveals main vessel dilation with variable caliber branching; Main vessel smooth; branching vessels tortuous, some tapering;", + "overview": "Coronary angiogram", + "dataset": "DCA1 dataset", + "location": "Coronary angiogram depicts left coronary arteries.", + "size": "Angiography reveals main vessel dilation with variable caliber branching.", + "trend_shape": "Main vessel smooth; branching vessels tortuous, some tapering.", + "background": "Dark background for angiograph contrast." + }, + { + "image": "DCA1/training/images/215img.png", + "caption": "Coronary artery X-ray image; DCA1 dataset; Coronary angiography dominates the center, traversing the image vertically, revealing branching arteries; Variable vessel diameter with robust main artery and tapering secondary branches; Arteries show normal tortuosity without apparent blockages;", + "overview": "Coronary artery X-ray image", + "dataset": "DCA1 dataset", + "location": "Coronary angiography dominates the center, traversing the image vertically, revealing branching arteries.", + "size": "Variable vessel diameter with robust main artery and tapering secondary branches.", + "trend_shape": "Arteries show normal tortuosity without apparent blockages.", + "background": "Grey background with no variation." + }, + { + "image": "DCA1/training/images/217img.png", + "caption": "X-ray image of coronary arteries in grayscale; DCA1 dataset; Central coronary angiography with clear main coronary artery visualization; Coronary arteries exhibit varying diameters with broadening in some segments; Tortuous coronary vessels with smooth curvature, branching, tapering, and bifurcation;", + "overview": "X-ray image of coronary arteries in grayscale", + "dataset": "DCA1 dataset", + "location": "Central coronary angiography with clear main coronary artery visualization.", + "size": "Coronary arteries exhibit varying diameters with broadening in some segments.", + "trend_shape": "Tortuous coronary vessels with smooth curvature, branching, tapering, and bifurcation.", + "background": "Gray background, structureless." + }, + { + "image": "DCA1/training/images/219img.png", + "caption": "Monochrome X-ray image of coronary arteries; DCA1 dataset; Angiogram dominates the central image; Angiogram shows vessels ranging from large main branches to finer arterial structures; Arterial network exhibits tree-like branching with tortuous segments;", + "overview": "Monochrome X-ray image of coronary arteries.", + "dataset": "DCA1 dataset", + "location": "Angiogram dominates the central image.", + "size": "Angiogram shows vessels ranging from large main branches to finer arterial structures.", + "trend_shape": "Arterial network exhibits tree-like branching with tortuous segments.", + "background": "Uniform background contrasts highlighted vasculature." + }, + { + "image": "DCA1/training/images/221img.png", + "caption": "X-ray of coronary arteries; DCA1 dataset; Central area with main branches radiating outwards; Coronary artery narrowing from proximal to distal, branch arteries of varying size with visible arterioles; Arteries exhibit tortuosity, opacity in some areas;", + "overview": "X-ray of coronary arteries", + "dataset": "DCA1 dataset", + "location": "Central area with main branches radiating outwards.", + "size": "Coronary artery narrowing from proximal to distal, branch arteries of varying size with visible arterioles.", + "trend_shape": "Arteries exhibit tortuosity, opacity in some areas.", + "background": "Grey background with minimal noise." + }, + { + "image": "DCA1/training/images/224img.png", + "caption": "Cardiac vasculature X-ray; DCA1 dataset; Center-left of image; Varies in size; major vessels prominent, minor finer; Tortuous arteries exhibit coronary circulation patterns;", + "overview": "Cardiac vasculature X-ray", + "dataset": "DCA1 dataset", + "location": "Center-left of image.", + "size": "Varies in size; major vessels prominent, minor finer.", + "trend_shape": "Tortuous arteries exhibit coronary circulation patterns.", + "background": "Dark, noisy background with tissue shadows." + }, + { + "image": "DCA1/training/images/225img.png", + "caption": "Coronary angiography image of coronary arteries; DCA1 dataset; Central angiogram shows main coronary arteries arising from aorta; Coronary arteries range from 4-5 mm to 1-2 mm in diameter; Tortuous arteries with serpentine segments indicate normal arterial variations;", + "overview": "Coronary angiography image of coronary arteries.", + "dataset": "DCA1 dataset", + "location": "Central angiogram shows main coronary arteries arising from aorta.", + "size": "Coronary arteries range from 4-5 mm to 1-2 mm in diameter.", + "trend_shape": "Tortuous arteries with serpentine segments indicate normal arterial variations.", + "background": "Dark, contrasting background highlights vascular structures." + }, + { + "image": "DCA1/training/images/227img.png", + "caption": "Monochromatic X-ray image with arterial enhancement; DCA1 dataset; Left-centered; Artery varies in size, branching from large to small; Artery descends smoothly, bifurcates into intricate branches;", + "overview": "Monochromatic X-ray image with arterial enhancement", + "dataset": "DCA1 dataset", + "location": "Left-centered", + "size": "Artery varies in size, branching from large to small.", + "trend_shape": "Artery descends smoothly, bifurcates into intricate branches.", + "background": "Uniform, radiolucent background with faint anatomical outlines." + }, + { + "image": "DCA1/training/images/229img.png", + "caption": "Grayscale image of vascular network; DCA1 dataset; Coronary angiography central; main structures mid-upper; Moderate coronary angiography, main artery width small to medium, tapering with branching; Coronary angiogram reveals a branching pattern from large vessels to finer capillaries;", + "overview": "Grayscale image of vascular network.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography central; main structures mid-upper.", + "size": "Moderate coronary angiography, main artery width small to medium, tapering with branching.", + "trend_shape": "Coronary angiogram reveals a branching pattern from large vessels to finer capillaries.", + "background": "Fintly textured, uniform background." + }, + { + "image": "DCA1/training/images/231img.png", + "caption": "Coronary artery X-ray image with contrast; DCA1 dataset; Coronary angiogram shows multiple coronary artery branches; Angiography shows variable vessel calibers; Arteries follow heart borders with normal branching patterns;", + "overview": "Coronary artery X-ray image with contrast", + "dataset": "DCA1 dataset", + "location": "Coronary angiogram shows multiple coronary artery branches.", + "size": "Angiography shows variable vessel calibers.", + "trend_shape": "Arteries follow heart borders with normal branching patterns.", + "background": "Dark background enhances angiographic clarity." + }, + { + "image": "DCA1/training/images/233img.png", + "caption": "Monochrome coronary X-ray; DCA1 dataset; Central angiography shows main coronary arteries branching from aorta; Angiography shows arteries of varying sizes, largest being the main artery; Arteries have curved shapes with smooth edges that narrow towards the periphery;", + "overview": "Monochrome coronary X-ray.", + "dataset": "DCA1 dataset", + "location": "Central angiography shows main coronary arteries branching from aorta.", + "size": "Angiography shows arteries of varying sizes, largest being the main artery.", + "trend_shape": "Arteries have curved shapes with smooth edges that narrow towards the periphery.", + "background": "Dark, low-contrast background." + }, + { + "image": "DCA1/training/images/235img.png", + "caption": "Coronary angiography X-ray; DCA1 dataset; Coronary angiography centrally positioned, showing major cardiac vessels in left half; Angiography shows varying vessel sizes, with the largest prominently central; Aortic vessels descend, taper, and branch smoothly;", + "overview": "Coronary angiography X-ray", + "dataset": "DCA1 dataset", + "location": "Coronary angiography centrally positioned, showing major cardiac vessels in left half.", + "size": "Angiography shows varying vessel sizes, with the largest prominently central.", + "trend_shape": "Aortic vessels descend, taper, and branch smoothly.", + "background": "Uniform gray background." + }, + { + "image": "DCA1/training/images/237img.png", + "caption": "Coronary angiogram X-ray shows blood vessel opacification; DCA1 dataset; Central coronary artery branching from aorta; Vessel size variable, proximal segments wider than distal; Vessels are mostly curved, tortuous, smooth, and bifurcated;", + "overview": "Coronary angiogram X-ray shows blood vessel opacification.", + "dataset": "DCA1 dataset", + "location": "Central coronary artery branching from aorta", + "size": "Vessel size variable, proximal segments wider than distal", + "trend_shape": "Vessels are mostly curved, tortuous, smooth, and bifurcated.", + "background": "Homogeneous gray background with obscured anatomy." + }, + { + "image": "DCA1/training/images/239img.png", + "caption": "Coronary arteries with contrast in X-ray; DCA1 dataset; Coronary angiogram central in image; Coronary angiography shows vessels of varying diameters; Coronary angiography shows a branching, tree-like pattern;", + "overview": "Coronary arteries with contrast in X-ray.", + "dataset": "DCA1 dataset", + "location": "Coronary angiogram central in image.", + "size": "Coronary angiography shows vessels of varying diameters.", + "trend_shape": "Coronary angiography shows a branching, tree-like pattern.", + "background": "Uniform, grayscale background." + }, + { + "image": "DCA1/training/images/23img.png", + "caption": "Contrast-enhanced cardiovascular X-ray image; DCA1 dataset; Angiography focuses on central region extending to image's upper section; Blood vessels taper from center to finer branches; Branching, tree-like vessels with curving, intertwining pathways;", + "overview": "Contrast-enhanced cardiovascular X-ray image", + "dataset": "DCA1 dataset", + "location": "Angiography focuses on central region extending to image's upper section.", + "size": "Blood vessels taper from center to finer branches.", + "trend_shape": "Branching, tree-like vessels with curving, intertwining pathways.", + "background": "Uniform background contrasts vascular structures." + }, + { + "image": "DCA1/training/images/241img.png", + "caption": "Chest X-ray highlights coronary arteries; DCA1 dataset; Left coronary angiography highlighted the arterial structure; Vessel size varies, main arteries are millimeters wide, tapering to branches; Arteries branch out in smooth, sinuous curves;", + "overview": "Chest X-ray highlights coronary arteries.", + "dataset": "DCA1 dataset", + "location": "Left coronary angiography highlighted the arterial structure.", + "size": "Vessel size varies, main arteries are millimeters wide, tapering to branches.", + "trend_shape": "Arteries branch out in smooth, sinuous curves.", + "background": "Translucent homogeneous background with cardiac silhouette." + }, + { + "image": "DCA1/training/images/243img.png", + "caption": "Chest X-ray with coronary artery contrast; DCA1 dataset; Central coronary angiography shows branching leftward arteries; Angiography shows vessels ranging from 2-4 mm caliber; Tortuous arteries with tapered branches and smooth contours;", + "overview": "Chest X-ray with coronary artery contrast.", + "dataset": "DCA1 dataset", + "location": "Central coronary angiography shows branching leftward arteries.", + "size": "Angiography shows vessels ranging from 2-4 mm caliber.", + "trend_shape": "Tortuous arteries with tapered branches and smooth contours.", + "background": "Gray background, no discernible structures." + }, + { + "image": "DCA1/training/images/246img.png", + "caption": "Cardiac X-ray with high contrast on dark background; DCA1 dataset; Coronary angiography stands out against dark tissue; Angiography reveals narrowed and dilated vessels, indicative of arterial stenosis or post-dilation; Coronary angiography shows branching vessel structure with curvilinear and tubular shapes, indicating potential normal and abnormal courses;", + "overview": "Cardiac X-ray with high contrast on dark background.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography stands out against dark tissue.", + "size": "Angiography reveals narrowed and dilated vessels, indicative of arterial stenosis or post-dilation.", + "trend_shape": "Coronary angiography shows branching vessel structure with curvilinear and tubular shapes, indicating potential normal and abnormal courses.", + "background": "Dark, homogeneous background highlights angiographic details." + }, + { + "image": "DCA1/training/images/247img.png", + "caption": "X-ray angiogram image with delineated coronary arteries; DCA1 dataset; Coronary angiography centered in image, slightly left; Coronary arteries vary in size, with the main one robust and secondary branches finer; Tortuous main coronary artery with curving branches exhibiting varying curvatures;", + "overview": "X-ray angiogram image with delineated coronary arteries.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography centered in image, slightly left.", + "size": "Coronary arteries vary in size, with the main one robust and secondary branches finer.", + "trend_shape": "Tortuous main coronary artery with curving branches exhibiting varying curvatures.", + "background": "Uniform dark background enhances vascular structure visibility." + }, + { + "image": "DCA1/training/images/249img.png", + "caption": "Monochrome X-ray of coronary artery structure; DCA1 dataset; Coronary angio in central and left regions, heart silhouette visible; Coronary angiography covers mid-sized arteries ranging from thin to moderately thick; Angiography shows a complex branching vessel network with a sinuous main artery and diverging branches with varying trajectories;", + "overview": "Monochrome X-ray of coronary artery structure.", + "dataset": "DCA1 dataset", + "location": "Coronary angio in central and left regions, heart silhouette visible.", + "size": "Coronary angiography covers mid-sized arteries ranging from thin to moderately thick.", + "trend_shape": "Angiography shows a complex branching vessel network with a sinuous main artery and diverging branches with varying trajectories.", + "background": "Dark, uniform background enhances angiographic contrast." + }, + { + "image": "DCA1/training/images/251img.png", + "caption": "Coronary artery X-ray with contrast; DCA1 dataset; Coronary angiography shows central focus on the left; Medium-sized coronary angiography with variable vessel calibers; Angiogram reveals complex arborization with smooth and tortuous segments;", + "overview": "Coronary artery X-ray with contrast", + "dataset": "DCA1 dataset", + "location": "Coronary angiography shows central focus on the left.", + "size": "Medium-sized coronary angiography with variable vessel calibers.", + "trend_shape": "Angiogram reveals complex arborization with smooth and tortuous segments.", + "background": "Soft tissue shadows on a monochrome background." + }, + { + "image": "DCA1/training/images/253img.png", + "caption": "Coronary X-ray image with contrast; DCA1 dataset; Coronary angiography dominant in center; Variable-sized vessel with diameters 2-4 mm, progressively narrowing branches; Dominant leftward-extending vessel, gently curved, with branching tree-like vessels;", + "overview": "Coronary X-ray image with contrast.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography dominant in center.", + "size": "Variable-sized vessel with diameters 2-4 mm, progressively narrowing branches.", + "trend_shape": "Dominant leftward-extending vessel, gently curved, with branching tree-like vessels.", + "background": "Gray background, few artifacts." + }, + { + "image": "DCA1/training/images/255img.png", + "caption": "Monochromatic chest X-ray showing coronary arteries; DCA1 dataset; Angiography shows heart's left side; Coronary angiography reveals vessels of varying size; Normal coronary arteries distribute in a smooth, curvilinear pattern, with the left main bifurcating into LAD and circumflex arteries, and further branching;", + "overview": "Monochromatic chest X-ray showing coronary arteries.", + "dataset": "DCA1 dataset", + "location": "Angiography shows heart's left side.", + "size": "Coronary angiography reveals vessels of varying size.", + "trend_shape": "Normal coronary arteries distribute in a smooth, curvilinear pattern, with the left main bifurcating into LAD and circumflex arteries, and further branching.", + "background": "Dark background with soft shadows." + }, + { + "image": "DCA1/training/images/257img.png", + "caption": "Monochrome X-ray angiogram of coronary arteries; DCA1 dataset; Coronary angiography shows in upper left to central image; Coronary angiography shows vessels of varying sizes; Angiography shows linear, smooth vessels with bifurcations, resembling a tree pattern;", + "overview": "Monochrome X-ray angiogram of coronary arteries.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography shows in upper left to central image.", + "size": "Coronary angiography shows vessels of varying sizes.", + "trend_shape": "Angiography shows linear, smooth vessels with bifurcations, resembling a tree pattern.", + "background": "Dark background with minimal noise." + }, + { + "image": "DCA1/training/images/259img.png", + "caption": "Monochromatic X-ray image of coronary arteries with contrast; DCA1 dataset; Centrally located branching coronary arteries visible with contrast delineating the vessels; Variable vessel diameter ranging from 1 to 5 millimeters approx.; Complex vascular tree with smooth, curvilinear, and branching vessels; Uniform grayscale background with minimal artifacts;", + "overview": "Monochromatic X-ray image of coronary arteries with contrast;", + "dataset": "DCA1 dataset;", + "location": "Centrally located branching coronary arteries visible with contrast delineating the vessels;", + "size": "Variable vessel diameter ranging from 1 to 5 millimeters approx.;", + "trend_shape": "Complex vascular tree with smooth, curvilinear, and branching vessels;", + "background": "Uniform grayscale background with minimal artifacts." + }, + { + "image": "DCA1/training/images/261img.png", + "caption": "Coronary artery network X-ray; DCA1 dataset; Coronary angiography of left side of heart, focusing on left coronary artery system; Varies in size, main arterial body ~2-4mm diameter; Arterial branching pattern exhibits smooth contours with no obstructions or narrowing, exhibiting diameter tapering;", + "overview": "Coronary artery network X-ray.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography of left side of heart, focusing on left coronary artery system.", + "size": "Varies in size, main arterial body ~2-4mm diameter.", + "trend_shape": "Arterial branching pattern exhibits smooth contours with no obstructions or narrowing, exhibiting diameter tapering.", + "background": "Grey background with minimal noise and coronary network." + }, + { + "image": "DCA1/training/images/263img.png", + "caption": "Coronary angiography image showing contrast-filled arteries; DCA1 dataset; Overlying the heart silhouette, centrally located; Coronary angiography shows vessels of varying size; Tortuous trend with curvilinear branching;", + "overview": "Coronary angiography image showing contrast-filled arteries.", + "dataset": "DCA1 dataset", + "location": "Overlying the heart silhouette, centrally located.", + "size": "Coronary angiography shows vessels of varying size.", + "trend_shape": "Tortuous trend with curvilinear branching.", + "background": "Dark background with density variations." + }, + { + "image": "DCA1/training/images/265img.png", + "caption": "X-ray coronary angiography showing contrast-filled coronary arteries; DCA1 dataset; Coronary angiography is centrally located; Variable vessel diameter, with some segments appearing narrower indicating possible stenosis; Tortuous and branching vessels with both linear and curvilinear components; Homogeneous greyscale background;", + "overview": "X-ray coronary angiography showing contrast-filled coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located;", + "size": "Variable vessel diameter, with some segments appearing narrower indicating possible stenosis;", + "trend_shape": "Tortuous and branching vessels with both linear and curvilinear components;", + "background": "Homogeneous greyscale background." + }, + { + "image": "DCA1/training/images/2img.png", + "caption": "Monochrome X-ray imaging of coronary arteries with contrast; DCA1 dataset; Coronary angiography is central in the image; Coronary angiography reveals prominent main artery and vessels of diverse diameters; Angiography shows branching of a main artery into smaller vessels with a smooth, curved trend;", + "overview": "Monochrome X-ray imaging of coronary arteries with contrast", + "dataset": "DCA1 dataset", + "location": "Coronary angiography is central in the image.", + "size": "Coronary angiography reveals prominent main artery and vessels of diverse diameters.", + "trend_shape": "Angiography shows branching of a main artery into smaller vessels with a smooth, curved trend.", + "background": "Uniform gray gradient background." + }, + { + "image": "DCA1/training/images/45img.png", + "caption": "Coronary angiography shows contrast-filled arteries; DCA1 dataset; Arteries visible, central branching; Artery size varies, largest to smallest; Arteries appear sinuous, smooth, and unobstructed;", + "overview": "Coronary angiography shows contrast-filled arteries.", + "dataset": "DCA1 dataset", + "location": "Arteries visible, central branching.", + "size": "Artery size varies, largest to smallest.", + "trend_shape": "Arteries appear sinuous, smooth, and unobstructed.", + "background": "Grey background." + }, + { + "image": "DCA1/training/images/67img.png", + "caption": "Coronary artery X-ray with contrast; DCA1 dataset; Central, high-contrast area; Variable, natural vascular structure with tapering and branching; Tortuous vessels with undulating shapes, suggesting complex coronary pathway;", + "overview": "Coronary artery X-ray with contrast", + "dataset": "DCA1 dataset", + "location": "Central, high-contrast area", + "size": "Variable, natural vascular structure with tapering and branching.", + "trend_shape": "Tortuous vessels with undulating shapes, suggesting complex coronary pathway.", + "background": "Grayscale background contrasts vascular structures." + }, + { + "image": "DCA1/training/images/79img.png", + "caption": "Coronary arteries contrast-enhanced in monochromatic X-ray; DCA1 dataset; Coronary artery branching vertically; Size varies, main trunk > branches; Sinuous, branching pattern with areas of narrowing and consistent caliber;", + "overview": "Coronary arteries contrast-enhanced in monochromatic X-ray.", + "dataset": "DCA1 dataset", + "location": "Coronary artery branching vertically.", + "size": "Size varies, main trunk > branches.", + "trend_shape": "Sinuous, branching pattern with areas of narrowing and consistent caliber.", + "background": "Grey background with soft tissue shadows." + }, + { + "image": "DCA1/training/images/81img.png", + "caption": "Monochromatic X-ray angiography: coronary arteries with contrast; DCA1 dataset; Coronary angiography central in image; Coronary angiography reveals extensive vessel branching; Coronary artery: uniform caliber before branching, tapering and curving in cardiac silhouette;", + "overview": "Monochromatic X-ray angiography: coronary arteries with contrast", + "dataset": "DCA1 dataset", + "location": "Coronary angiography central in image.", + "size": "Coronary angiography reveals extensive vessel branching.", + "trend_shape": "Coronary artery: uniform caliber before branching, tapering and curving in cardiac silhouette.", + "background": "Homogeneous, featureless background." + }, + { + "image": "DCA1/training/images/83img.png", + "caption": "Coronary artery grayscale medical image; DCA1 dataset; Coronary angiography showcases mainly the left coronary arteries; Coronary angiography reveals arteries of varying calibers, with dilated and narrowed segments; Coronary arteries show serpentine patterns with varying curvatures;", + "overview": "Coronary artery grayscale medical image", + "dataset": "DCA1 dataset", + "location": "Coronary angiography showcases mainly the left coronary arteries.", + "size": "Coronary angiography reveals arteries of varying calibers, with dilated and narrowed segments.", + "trend_shape": "Coronary arteries show serpentine patterns with varying curvatures.", + "background": "Indistinguishable grayscale background." + }, + { + "image": "DCA1/training/images/85img.png", + "caption": "Coronary angiography reveals contrast-filled arteries; DCA1 dataset; Left-central quadrant, predominantly left-sided; Caliber varies, with main branches 2-4 mm wide; Branching pattern exhibits straight/curvilinear segments, with potential stenoses/irregularities suggesting atherosclerosis or interventions;", + "overview": "Coronary angiography reveals contrast-filled arteries.", + "dataset": "DCA1 dataset", + "location": "Left-central quadrant, predominantly left-sided.", + "size": "Caliber varies, with main branches 2-4 mm wide.", + "trend_shape": "Branching pattern exhibits straight/curvilinear segments, with potential stenoses/irregularities suggesting atherosclerosis or interventions.", + "background": "Translucent background with faint cardiac and thoracic outlines." + }, + { + "image": "DCA1/training/images/87img.png", + "caption": "Monochrome X-ray image showing coronary arteries; DCA1 dataset; Central to the left side of the image; Varying diameter, main vessel with branches; Pronounced curvilinear shapes, arteries branching off in various directions, with a mix of straight and convoluted segments; Uniform, featureless grey background;", + "overview": "Monochrome X-ray image showing coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Central to the left side of the image;", + "size": "Varying diameter, main vessel with branches;", + "trend_shape": "Pronounced curvilinear shapes, arteries branching off in various directions, with a mix of straight and convoluted segments;", + "background": "Uniform, featureless grey background." + }, + { + "image": "DCA1/training/images/89img.png", + "caption": "Coronary arteries enhanced in X-ray image; DCA1 dataset; Angiography shows contrast flow in coronary arteries; Coronary angiography reveals normal caliber vessels; Arteries show a smooth, sinuous course with no stenosis or plaque;", + "overview": "Coronary arteries enhanced in X-ray image", + "dataset": "DCA1 dataset", + "location": "Angiography shows contrast flow in coronary arteries.", + "size": "Coronary angiography reveals normal caliber vessels.", + "trend_shape": "Arteries show a smooth, sinuous course with no stenosis or plaque.", + "background": "Homogeneous, grainy background lacking structures or artifacts." + }, + { + "image": "DCA1/training/images/92img.png", + "caption": "X-ray image showing contrast-filled coronary arteries; DCA1 dataset; Coronary arteries visible as high-contrast structures predominantly in the upper half of the image; Variable sizes with main coronary artery trunks and smaller branching vessels; Main coronary arteries with smooth, curved trajectories showing bifurcations into smaller branches; Uniform, translucent background;", + "overview": "X-ray image showing contrast-filled coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary arteries visible as high-contrast structures predominantly in the upper half of the image;", + "size": "Variable sizes with main coronary artery trunks and smaller branching vessels;", + "trend_shape": "Main coronary arteries with smooth, curved trajectories showing bifurcations into smaller branches;", + "background": "Uniform, translucent background." + }, + { + "image": "DCA1/training/images/93img.png", + "caption": "Contrast-filled coronary arteries X-ray; DCA1 dataset; Angiography fills most of the central frame view; Angiography shows arteries varying in size, main trunk several mm in diameter, branching vessels narrowing progressively; Angiography shows smooth coronary vessels with no irregularities;", + "overview": "Contrast-filled coronary arteries X-ray.", + "dataset": "DCA1 dataset", + "location": "Angiography fills most of the central frame view.", + "size": "Angiography shows arteries varying in size, main trunk several mm in diameter, branching vessels narrowing progressively.", + "trend_shape": "Angiography shows smooth coronary vessels with no irregularities.", + "background": "Gray background with soft shadows." + }, + { + "image": "DCA1/training/images/97img.png", + "caption": "Coronary angiography X-ray image of visible cardiac vasculature; DCA1 dataset; Coronary angiography positioned centrally to left; Coronary vessel opacification with visible major and finer branches; Complex curvilinear and branching vessel network resembles the coronary arterial tree, with luminal variations and no cutoffs;", + "overview": "Coronary angiography X-ray image of visible cardiac vasculature.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography positioned centrally to left.", + "size": "Coronary vessel opacification with visible major and finer branches.", + "trend_shape": "Complex curvilinear and branching vessel network resembles the coronary arterial tree, with luminal variations and no cutoffs.", + "background": "High-contrast background with light-to-dark gradients, minimizing clutter and highlighting angiographic details." + }, + { + "image": "DCA1/training/images/99img.png", + "caption": "Coronary angiogram with dye contrast; DCA1 dataset; Angiography shows branching vessels in the image's center and top; Coronary angiography reveals variable vessel sizes ranging from 1-5mm; Wiry, curvilinear vessels with smooth and irregular contours branch from superior-left orientation;", + "overview": "Coronary angiogram with dye contrast.", + "dataset": "DCA1 dataset", + "location": "Angiography shows branching vessels in the image's center and top.", + "size": "Coronary angiography reveals variable vessel sizes ranging from 1-5mm.", + "trend_shape": "Wiry, curvilinear vessels with smooth and irregular contours branch from superior-left orientation.", + "background": "Grey background with soft shadows." + }, + { + "image": "DCA1/training/annotations/103gt.png", + "caption": "GT semantic X-ray coronary angiography map; DCA1 dataset; Semantic map centrally located, occupying most image space; Large semantic map with lean, elongated features spanning the image; Semantic map is curvilinear, tracing coronary arteries, with bifurcations and varying calibers indicating branches;", + "overview": "GT semantic X-ray coronary angiography map", + "dataset": "DCA1 dataset", + "location": "Semantic map centrally located, occupying most image space.", + "size": "Large semantic map with lean, elongated features spanning the image.", + "trend_shape": "Semantic map is curvilinear, tracing coronary arteries, with bifurcations and varying calibers indicating branches." + }, + { + "image": "DCA1/training/annotations/107gt.png", + "caption": "Map of X-ray angiography, delineating vessel structure (GT); DCA1 dataset; Centered in the image, occupying the middle vertically and horizontally; Medium, top center to bottom right; Map shows a branching vessel with curvilinear paths tapering like natural vascular structures;", + "overview": "Map of X-ray angiography, delineating vessel structure (GT).", + "dataset": "DCA1 dataset", + "location": "Centered in the image, occupying the middle vertically and horizontally.", + "size": "Medium, top center to bottom right.", + "trend_shape": "Map shows a branching vessel with curvilinear paths tapering like natural vascular structures." + }, + { + "image": "DCA1/training/annotations/115gt.png", + "caption": "Monochromatic skeletal coronary artery map in X-ray angiography; DCA1 dataset; Central semantic map dominates image on black background; Map shows varying artery widths across most of the image; Complex map with smooth, curved arterial shapes;", + "overview": "Monochromatic skeletal coronary artery map in X-ray angiography.", + "dataset": "DCA1 dataset", + "location": "Central semantic map dominates image on black background.", + "size": "Map shows varying artery widths across most of the image.", + "trend_shape": "Complex map with smooth, curved arterial shapes." + }, + { + "image": "DCA1/training/annotations/117gt.png", + "caption": "An X-ray coronary GT map; DCA1 dataset; Centralized semantic map delineates coronary arterial structure; Large map spans image height with variable widths; Semantic map resembles coronary arteries, with tight curves and tapered branches;", + "overview": "An X-ray coronary GT map", + "dataset": "DCA1 dataset", + "location": "Centralized semantic map delineates coronary arterial structure.", + "size": "Large map spans image height with variable widths.", + "trend_shape": "Semantic map resembles coronary arteries, with tight curves and tapered branches." + }, + { + "image": "DCA1/training/annotations/125gt.png", + "caption": "Semantic map (GT) of X-ray coronary angiography; DCA1 dataset; Occupies central and left portions of the image; Extensive coverage with variable line thickness; Linear with curvilinear segments, depicting arterial paths and bifurcations;", + "overview": "Semantic map (GT) of X-ray coronary angiography;", + "dataset": "DCA1 dataset;", + "location": "Occupies central and left portions of the image;", + "size": "Extensive coverage with variable line thickness;", + "trend_shape": "Linear with curvilinear segments, depicting arterial paths and bifurcations." + }, + { + "image": "DCA1/training/annotations/127gt.png", + "caption": "GT arterial semantic map for X-ray coronary angiography image; DCA1 dataset; Central semantic map dominates image space; Semantic map features thick lines representing arterial diameters and branching patterns; Semantic map follows coronary artery anatomy, with curvilinear main trunk and bifurcating branches descending in size;", + "overview": "GT arterial semantic map for X-ray coronary angiography image", + "dataset": "DCA1 dataset", + "location": "Central semantic map dominates image space.", + "size": "Semantic map features thick lines representing arterial diameters and branching patterns.", + "trend_shape": "Semantic map follows coronary artery anatomy, with curvilinear main trunk and bifurcating branches descending in size." + }, + { + "image": "DCA1/training/annotations/131gt.png", + "caption": "X-ray coronary angiography GT highlighting arterial structures; DCA1 dataset; Semantic map covers most of image area, extending upwards and sideways with minimal blank space; High-resolution semantic map with well-defined lines; Branching semantic map with progressively thinner vessels mimics natural arterial distribution;", + "overview": "X-ray coronary angiography GT highlighting arterial structures", + "dataset": "DCA1 dataset", + "location": "Semantic map covers most of image area, extending upwards and sideways with minimal blank space.", + "size": "High-resolution semantic map with well-defined lines", + "trend_shape": "Branching semantic map with progressively thinner vessels mimics natural arterial distribution." + }, + { + "image": "DCA1/training/annotations/133gt.png", + "caption": "High-contrast coronary angiography map of vascular structures; DCA1 dataset; Map fills most of image; Large semantic map covers central and top-right image areas with prominent curvilinear shapes; Branched arterial structure with curved dominant artery bifurcating into sinuous, smooth-curved arteries;", + "overview": "High-contrast coronary angiography map of vascular structures.", + "dataset": "DCA1 dataset", + "location": "Map fills most of image.", + "size": "Large semantic map covers central and top-right image areas with prominent curvilinear shapes.", + "trend_shape": "Branched arterial structure with curved dominant artery bifurcating into sinuous, smooth-curved arteries." + }, + { + "image": "DCA1/training/annotations/136gt.png", + "caption": "Ground-truth semantic map of X-ray coronary angiography; DCA1 dataset; Image-centric semantic map with distinct background boundary; Semantic map spans image height but occupies central width strip; Curvilinear, branching semantic map simulates coronary arteries with tapered line thickness;", + "overview": "Ground-truth semantic map of X-ray coronary angiography", + "dataset": "DCA1 dataset", + "location": "Image-centric semantic map with distinct background boundary.", + "size": "Semantic map spans image height but occupies central width strip", + "trend_shape": "Curvilinear, branching semantic map simulates coronary arteries with tapered line thickness." + }, + { + "image": "DCA1/training/annotations/137gt.png", + "caption": "Monochrome semantic map of X-ray coronary angiography represents ground truth for vessel structure; DCA1 dataset; Map dominates image space; Map spans image height, width varies due to vessel structure; Semantic map: complex vascular arrangement with curvilinear shapes resembling a tree-like structure;", + "overview": "Monochrome semantic map of X-ray coronary angiography represents ground truth for vessel structure.", + "dataset": "DCA1 dataset", + "location": "Map dominates image space.", + "size": "Map spans image height, width varies due to vessel structure.", + "trend_shape": "Semantic map: complex vascular arrangement with curvilinear shapes resembling a tree-like structure." + }, + { + "image": "DCA1/training/annotations/139gt.png", + "caption": "High-contrast semantic GT map of X-ray coronary angiography; DCA1 dataset; Central semantic map spans from top center to bottom right; Large semantic map fills most of the canvas; Curvilinear semantic map depicts arterial structures with varying thickness and length, branching from top to bottom with lateral subsidiary branches;", + "overview": "High-contrast semantic GT map of X-ray coronary angiography", + "dataset": "DCA1 dataset", + "location": "Central semantic map spans from top center to bottom right.", + "size": "Large semantic map fills most of the canvas.", + "trend_shape": "Curvilinear semantic map depicts arterial structures with varying thickness and length, branching from top to bottom with lateral subsidiary branches." + }, + { + "image": "DCA1/training/annotations/141gt.png", + "caption": "High-contrast semantic map of a coronary angiogram; DCA1 dataset; Semantic map dominates image area; Large semantic map covers image center and top-right with curves; Bifurcating, branching tree-like vascular network with diminishing vessel calibers;", + "overview": "High-contrast semantic map of a coronary angiogram.", + "dataset": "DCA1 dataset", + "location": "Semantic map dominates image area.", + "size": "Large semantic map covers image center and top-right with curves.", + "trend_shape": "Bifurcating, branching tree-like vascular network with diminishing vessel calibers." + }, + { + "image": "DCA1/training/annotations/147gt.png", + "caption": "GT coronary artery tree map from X-ray angiography; DCA1 dataset; Central semantic map shows arterial network with primary branches emerging and bifurcating peripherally; Large semantic map provides detailed arterial representation, filling most of the image; Organic map distribution: main trunk divides into branches, some curved, others linear, forming a vascular pattern;", + "overview": "GT coronary artery tree map from X-ray angiography.", + "dataset": "DCA1 dataset", + "location": "Central semantic map shows arterial network with primary branches emerging and bifurcating peripherally.", + "size": "Large semantic map provides detailed arterial representation, filling most of the image.", + "trend_shape": "Organic map distribution: main trunk divides into branches, some curved, others linear, forming a vascular pattern." + }, + { + "image": "DCA1/training/annotations/149gt.png", + "caption": "High-contrast white-on-black semantic map of X-ray coronary angiography image; DCA1 dataset; Dense map lines taper from top right to bottom left; Medium image with map branches ranging from 1-4 pixels, plus sub-pixel minor branches; Arterial map exhibits branching structure with curved main artery, sinuous arteries, and sharp bifurcations;", + "overview": "High-contrast white-on-black semantic map of X-ray coronary angiography image.", + "dataset": "DCA1 dataset", + "location": "Dense map lines taper from top right to bottom left.", + "size": "Medium image with map branches ranging from 1-4 pixels, plus sub-pixel minor branches.", + "trend_shape": "Arterial map exhibits branching structure with curved main artery, sinuous arteries, and sharp bifurcations." + }, + { + "image": "DCA1/training/annotations/155gt.png", + "caption": "Semantic map of X-ray angiography for vessel segmentation; DCA1 dataset; Central semantic map with visible vertical main vessel structures branching peripherally; Semantic map extends throughout image, suggesting isolated vessel mapping; Tree-like vascular structure branches with decreasing diameter, primary vessel curves right with acute to obtuse secondary and tertiary branches;", + "overview": "Semantic map of X-ray angiography for vessel segmentation.", + "dataset": "DCA1 dataset", + "location": "Central semantic map with visible vertical main vessel structures branching peripherally.", + "size": "Semantic map extends throughout image, suggesting isolated vessel mapping.", + "trend_shape": "Tree-like vascular structure branches with decreasing diameter, primary vessel curves right with acute to obtuse secondary and tertiary branches." + }, + { + "image": "DCA1/training/annotations/158gt.png", + "caption": "GT map of coronary arteries from X-ray coronary angiography; DCA1 dataset; Central semantic map dominates frame; Large semantic map with arterial traces spanning image edges; Semantic map exhibits a curvilinear, branching pattern resembling coronary artery anatomy;", + "overview": "GT map of coronary arteries from X-ray coronary angiography.", + "dataset": "DCA1 dataset", + "location": "Central semantic map dominates frame.", + "size": "Large semantic map with arterial traces spanning image edges.", + "trend_shape": "Semantic map exhibits a curvilinear, branching pattern resembling coronary artery anatomy." + }, + { + "image": "DCA1/training/annotations/159gt.png", + "caption": "Coronary angiography map showing vascular structures; DCA1 dataset; Semantic map without surrounding anatomy; Semantic map is smaller than image dimension, allowing boundary space; Semantic map reveals linear, curvilinear, branched patterns indicating arteries;", + "overview": "Coronary angiography map showing vascular structures.", + "dataset": "DCA1 dataset", + "location": "Semantic map without surrounding anatomy.", + "size": "Semantic map is smaller than image dimension, allowing boundary space.", + "trend_shape": "Semantic map reveals linear, curvilinear, branched patterns indicating arteries." + }, + { + "image": "DCA1/training/annotations/161gt.png", + "caption": "Monochrome semantic map of GT coronary arteries from X-ray angiography; DCA1 dataset; Semantic map centered within image, with narrow empty border; Large semantic map covers most of image; Curved, sinuous map with branching, tapering segments resembling vascular pathways;", + "overview": "Monochrome semantic map of GT coronary arteries from X-ray angiography", + "dataset": "DCA1 dataset", + "location": "Semantic map centered within image, with narrow empty border.", + "size": "Large semantic map covers most of image.", + "trend_shape": "Curved, sinuous map with branching, tapering segments resembling vascular pathways." + }, + { + "image": "DCA1/training/annotations/163gt.png", + "caption": "GT of X-ray coronary angiography processing; DCA1 dataset; Semantic map with centered buffer margin; Semantic map fills most of the image frame; Arterial structure, branching and varying in width, extends from top left to lower right, indicating blood vessels with bifurcations and curvatures;", + "overview": "GT of X-ray coronary angiography processing", + "dataset": "DCA1 dataset", + "location": "Semantic map with centered buffer margin.", + "size": "Semantic map fills most of the image frame.", + "trend_shape": "Arterial structure, branching and varying in width, extends from top left to lower right, indicating blood vessels with bifurcations and curvatures." + }, + { + "image": "DCA1/training/annotations/165gt.png", + "caption": "BW semantic map from X-ray coronary angiography (GT); DCA1 dataset; Central image map occupies most space; Large semantic map spans image, detailed branching; Semantic map exhibits a branching vascular pattern with a central artery and diverging branches like a tree;", + "overview": "BW semantic map from X-ray coronary angiography (GT)", + "dataset": "DCA1 dataset", + "location": "Central image map occupies most space.", + "size": "Large semantic map spans image, detailed branching.", + "trend_shape": "Semantic map exhibits a branching vascular pattern with a central artery and diverging branches like a tree." + }, + { + "image": "DCA1/training/annotations/167gt.png", + "caption": "GT of an X-ray coronary angiography image; DCA1 dataset; Semantic map centrally located in upper image half; Map is medium-sized with varying width; Curvilinear map resembles arterial structures with branching points that taper;", + "overview": "GT of an X-ray coronary angiography image", + "dataset": "DCA1 dataset", + "location": "Semantic map centrally located in upper image half.", + "size": "Map is medium-sized with varying width.", + "trend_shape": "Curvilinear map resembles arterial structures with branching points that taper." + }, + { + "image": "DCA1/training/annotations/169gt.png", + "caption": "X-ray coronary angiography map showing vascular structure; DCA1 dataset; Semantic map fills most of image space; Large semantic map extends downwards, branching left and right; Tree-like branching pattern with varying vessel thickness;", + "overview": "X-ray coronary angiography map showing vascular structure.", + "dataset": "DCA1 dataset", + "location": "Semantic map fills most of image space.", + "size": "Large semantic map extends downwards, branching left and right.", + "trend_shape": "Tree-like branching pattern with varying vessel thickness." + }, + { + "image": "DCA1/training/annotations/173gt.png", + "caption": "GT map for X-ray coronary angiography; DCA1 dataset; Central semantic map encompassing both halves, focusing right; Large semantic map dominates image space; Semantic map shows branching patterns similar to coronary arteries;", + "overview": "GT map for X-ray coronary angiography", + "dataset": "DCA1 dataset", + "location": "Central semantic map encompassing both halves, focusing right.", + "size": "Large semantic map dominates image space.", + "trend_shape": "Semantic map shows branching patterns similar to coronary arteries." + }, + { + "image": "DCA1/training/annotations/175gt.png", + "caption": "Segmented ground truth of a coronary artery from angiography; DCA1 dataset; Semantic map centrally located in image with clear edge space; Coronary artery map varies in thickness, suggesting a contained region of interest; Coronary tree shows high fidelity, with primary branch bifurcating upwards and secondary branches with tortuous courses reflecting natural anatomy;", + "overview": "Segmented ground truth of a coronary artery from angiography.", + "dataset": "DCA1 dataset", + "location": "Semantic map centrally located in image with clear edge space.", + "size": "Coronary artery map varies in thickness, suggesting a contained region of interest.", + "trend_shape": "Coronary tree shows high fidelity, with primary branch bifurcating upwards and secondary branches with tortuous courses reflecting natural anatomy." + }, + { + "image": "DCA1/training/annotations/177gt.png", + "caption": "B&W semantic map (GT) for X-ray coronary angiogram; DCA1 dataset; The semantic map is centrally located against a black background; Covers most of the image with margins; Tree-like map branches taper from center to periphery, with curves and angles;", + "overview": "B&W semantic map (GT) for X-ray coronary angiogram.", + "dataset": "DCA1 dataset", + "location": "The semantic map is centrally located against a black background.", + "size": "Covers most of the image with margins.", + "trend_shape": "Tree-like map branches taper from center to periphery, with curves and angles." + }, + { + "image": "DCA1/training/annotations/180gt.png", + "caption": "High-contrast, monochromatic coronary map for ground truth in X-ray angiography; DCA1 dataset; Central semantic map covers most of the image; Map shows varying artery thickness, from fine lines to thick curves; Map trend lines resemble coronary artery paths, exhibiting natural, branching patterns with smooth and sharp turns;", + "overview": "High-contrast, monochromatic coronary map for ground truth in X-ray angiography.", + "dataset": "DCA1 dataset", + "location": "Central semantic map covers most of the image.", + "size": "Map shows varying artery thickness, from fine lines to thick curves.", + "trend_shape": "Map trend lines resemble coronary artery paths, exhibiting natural, branching patterns with smooth and sharp turns." + }, + { + "image": "DCA1/training/annotations/181gt.png", + "caption": "GT semantic map of a coronary artery in angiography; DCA1 dataset; Central semantic map dominates image with clear margins; Semantic map reflects coronary artery hierarchy, with thickness indicating major arteries and tapering for finer branches; Semantic map displays branching arteries resembling a coronary tree;", + "overview": "GT semantic map of a coronary artery in angiography", + "dataset": "DCA1 dataset", + "location": "Central semantic map dominates image with clear margins.", + "size": "Semantic map reflects coronary artery hierarchy, with thickness indicating major arteries and tapering for finer branches.", + "trend_shape": "Semantic map displays branching arteries resembling a coronary tree." + }, + { + "image": "DCA1/training/annotations/185gt.png", + "caption": "X-ray coronary angiogram semantic map; DCA1 dataset; Central semantic map; Coronary artery network occupies 60% of image, varying in thickness; Branching lines mimic coronary arteries, featuring smooth curves and tapered ends;", + "overview": "X-ray coronary angiogram semantic map", + "dataset": "DCA1 dataset", + "location": "Central semantic map.", + "size": "Coronary artery network occupies 60% of image, varying in thickness.", + "trend_shape": "Branching lines mimic coronary arteries, featuring smooth curves and tapered ends." + }, + { + "image": "DCA1/training/annotations/187gt.png", + "caption": "High-contrast, monochrome GT map of X-ray coronary angiography, highlighting arteries; DCA1 dataset; Central, unobstructed semantic map dominates image; Network of varying-width lines, arterial structures prominent, smaller branches tapering off; Linear structures follow coronary artery patterns, with shapes implying bifurcations and overlap, reflecting complex coronary anatomy;", + "overview": "High-contrast, monochrome GT map of X-ray coronary angiography, highlighting arteries.", + "dataset": "DCA1 dataset", + "location": "Central, unobstructed semantic map dominates image.", + "size": "Network of varying-width lines, arterial structures prominent, smaller branches tapering off.", + "trend_shape": "Linear structures follow coronary artery patterns, with shapes implying bifurcations and overlap, reflecting complex coronary anatomy." + }, + { + "image": "DCA1/training/annotations/189gt.png", + "caption": "GT coronary angiography semantic map; DCA1 dataset; Central semantic map dominates middle image; Map is moderately sized with clear borders; Map exhibits complex branching pattern resembling a fractal tree;", + "overview": "GT coronary angiography semantic map", + "dataset": "DCA1 dataset", + "location": "Central semantic map dominates middle image.", + "size": "Map is moderately sized with clear borders.", + "trend_shape": "Map exhibits complex branching pattern resembling a fractal tree." + }, + { + "image": "DCA1/training/annotations/191gt.png", + "caption": "Ground truth semantic map of an X-ray coronary angiography; DCA1 dataset; Semantic map displays coronary arteries; Moderate semantic map covers a large but not full black background; Map shows a branching structure with a main artery curving downwards and smaller branches extending laterally, resembling a coronary artery;", + "overview": "Ground truth semantic map of an X-ray coronary angiography", + "dataset": "DCA1 dataset", + "location": "Semantic map displays coronary arteries.", + "size": "Moderate semantic map covers a large but not full black background.", + "trend_shape": "Map shows a branching structure with a main artery curving downwards and smaller branches extending laterally, resembling a coronary artery." + }, + { + "image": "DCA1/training/annotations/195gt.png", + "caption": "Semantic map (GT) of coronary artery structures; DCA1 dataset; Central map dominates frame; Semantic map occupies the central image, with estimated size relative to total image dimensions; Semantic map's branching pattern resembles coronary arterial tree, with varying curvature and thickness lines representing diverse coronary artery anatomy;", + "overview": "Semantic map (GT) of coronary artery structures.", + "dataset": "DCA1 dataset", + "location": "Central map dominates frame.", + "size": "Semantic map occupies the central image, with estimated size relative to total image dimensions.", + "trend_shape": "Semantic map's branching pattern resembles coronary arterial tree, with varying curvature and thickness lines representing diverse coronary artery anatomy." + }, + { + "image": "DCA1/training/annotations/197gt.png", + "caption": "Semantic GT map for X-ray coronary angiography; DCA1 dataset; Semantic map centrally located within image, occupies majority of area; The semantic map is large and covers a significant portion of the image; Semantic map displays linear branching patterns and elongated shape with curves and bifurcations, indicating vascular structures;", + "overview": "Semantic GT map for X-ray coronary angiography", + "dataset": "DCA1 dataset", + "location": "Semantic map centrally located within image, occupies majority of area;", + "size": "The semantic map is large and covers a significant portion of the image.", + "trend_shape": "Semantic map displays linear branching patterns and elongated shape with curves and bifurcations, indicating vascular structures." + }, + { + "image": "DCA1/training/annotations/199gt.png", + "caption": "Coronary angiography map highlighting vascular structure; DCA1 dataset; Semantic map within image boundaries; Map mostly covers image, leaving margins; Curvilinear vascular structures of varying thickness resemble arterial branches, diverging from a main vessel that runs diagonally from top left to central bottom;", + "overview": "Coronary angiography map highlighting vascular structure.", + "dataset": "DCA1 dataset", + "location": "Semantic map within image boundaries.", + "size": "Map mostly covers image, leaving margins.", + "trend_shape": "Curvilinear vascular structures of varying thickness resemble arterial branches, diverging from a main vessel that runs diagonally from top left to central bottom." + }, + { + "image": "DCA1/training/annotations/1gt.png", + "caption": "A ground truth semantic map of X-ray coronary angiography; DCA1 dataset; Occupies the central region of the image against a black background; Comprehensive coverage of coronary vessels with variable widths ranging from thin to thick lines; Vessels depicted with high fidelity, showing branching patterns and curvature typical of coronary artery anatomy;", + "overview": "A ground truth semantic map of X-ray coronary angiography;", + "dataset": "DCA1 dataset;", + "location": "Occupies the central region of the image against a black background;", + "size": "Comprehensive coverage of coronary vessels with variable widths ranging from thin to thick lines;", + "trend_shape": "Vessels depicted with high fidelity, showing branching patterns and curvature typical of coronary artery anatomy." + }, + { + "image": "DCA1/training/annotations/2gt.png", + "caption": "Semantic map (GT) of curvilinear structures in coronary angiography; DCA1 dataset; Semantic map dominates image center; Semantic map nearly fills the image field, though dimensions are not given; Semantic map exhibits complex branching and curvature, akin to arterial structures;", + "overview": "Semantic map (GT) of curvilinear structures in coronary angiography.", + "dataset": "DCA1 dataset", + "location": "Semantic map dominates image center.", + "size": "Semantic map nearly fills the image field, though dimensions are not given.", + "trend_shape": "Semantic map exhibits complex branching and curvature, akin to arterial structures." + }, + { + "image": "DCA1/training/annotations/202gt.png", + "caption": "X-ray coronary angiography map (GT) for vessel structures; DCA1 dataset; Centered semantic map dominates image space; Medium-sized map with high-contrast lines on black background; Complex branching vascular structures with a central vessel tapering into peripheral branches, serpentine with bifurcations and curvilinear-angular shapes;", + "overview": "X-ray coronary angiography map (GT) for vessel structures.", + "dataset": "DCA1 dataset", + "location": "Centered semantic map dominates image space.", + "size": "Medium-sized map with high-contrast lines on black background.", + "trend_shape": "Complex branching vascular structures with a central vessel tapering into peripheral branches, serpentine with bifurcations and curvilinear-angular shapes." + }, + { + "image": "DCA1/training/annotations/205gt.png", + "caption": "GT high-contrast semantic map of arterial structures for X-ray coronary angiography; DCA1 dataset; Central semantic map dominates image area; Map occupies 70% of image, with line thickness denoting vessel caliber; Curvilinear branching pattern resembles coronary arteries;", + "overview": "GT high-contrast semantic map of arterial structures for X-ray coronary angiography", + "dataset": "DCA1 dataset", + "location": "Central semantic map dominates image area.", + "size": "Map occupies 70% of image, with line thickness denoting vessel caliber.", + "trend_shape": "Curvilinear branching pattern resembles coronary arteries." + }, + { + "image": "DCA1/training/annotations/207gt.png", + "caption": "GT semantic map of X-ray angio highlights vasculature; DCA1 dataset; Central semantic map dominates the image; Vessel-like structures cover 80% of image, varying in size; Tortuous vascular pattern resembling coronary arteries, with bifurcations and convergences;", + "overview": "GT semantic map of X-ray angio highlights vasculature", + "dataset": "DCA1 dataset", + "location": "Central semantic map dominates the image.", + "size": "Vessel-like structures cover 80% of image, varying in size.", + "trend_shape": "Tortuous vascular pattern resembling coronary arteries, with bifurcations and convergences." + }, + { + "image": "DCA1/training/annotations/209gt.png", + "caption": "GT of X-ray coronary angiography showing vasculature; DCA1 dataset; Semantic map centered within image; Semantic map size correlates with image size, covering most of the area to depict coronary arteries; Branching pattern from top left extends downwards, mimicking coronary artery anatomy;", + "overview": "GT of X-ray coronary angiography showing vasculature", + "dataset": "DCA1 dataset", + "location": "Semantic map centered within image.", + "size": "Semantic map size correlates with image size, covering most of the area to depict coronary arteries.", + "trend_shape": "Branching pattern from top left extends downwards, mimicking coronary artery anatomy." + }, + { + "image": "DCA1/training/annotations/211gt.png", + "caption": "GT semantic map representing X-ray coronary angiography vasculature; DCA1 dataset; The semantic map dominates the image; Semantic vascular map with thickness variation; Linear, curvilinear trends with branching; vertical, diagonal orientations;", + "overview": "GT semantic map representing X-ray coronary angiography vasculature", + "dataset": "DCA1 dataset", + "location": "The semantic map dominates the image.", + "size": "Semantic vascular map with thickness variation.", + "trend_shape": "Linear, curvilinear trends with branching; vertical, diagonal orientations." + }, + { + "image": "DCA1/training/annotations/213gt.png", + "caption": "GT semantic map of coronary arteries; DCA1 dataset; Central image area; Varies in width, with largest structures around 1/10 image width; Branching structures (linear, curved) from central trunks; mostly vertical, some diagonal;", + "overview": "GT semantic map of coronary arteries", + "dataset": "DCA1 dataset", + "location": "Central image area.", + "size": "Varies in width, with largest structures around 1/10 image width.", + "trend_shape": "Branching structures (linear, curved) from central trunks; mostly vertical, some diagonal." + }, + { + "image": "DCA1/training/annotations/217gt.png", + "caption": "Semantic map (GT) of an X-ray coronary angiography image; DCA1 dataset; Centralized in the image, with clear separation from the edges; Medium size with high contrast outlines; Sinuous and curved trend with varied vessel diameters, resembling a typical coronary artery structure;", + "overview": "Semantic map (GT) of an X-ray coronary angiography image;", + "dataset": "DCA1 dataset;", + "location": "Centralized in the image, with clear separation from the edges;", + "size": "Medium size with high contrast outlines;", + "trend_shape": "Sinuous and curved trend with varied vessel diameters, resembling a typical coronary artery structure." + }, + { + "image": "DCA1/training/annotations/219gt.png", + "caption": "GT X-ray coronary angiography image semantic map (vascular structures); DCA1 dataset; Centralized semantic map extends outwards; Vascular representation occupies most of the image, likely matching standard medical resolution; Curved linear map shows intricate coronary artery network with branching;", + "overview": "GT X-ray coronary angiography image semantic map (vascular structures)", + "dataset": "DCA1 dataset", + "location": "Centralized semantic map extends outwards.", + "size": "Vascular representation occupies most of the image, likely matching standard medical resolution.", + "trend_shape": "Curved linear map shows intricate coronary artery network with branching." + }, + { + "image": "DCA1/training/annotations/224gt.png", + "caption": "Semantic map outlines vascular structures from angiogram; DCA1 dataset; Map is centrally located, top-left to bottom-right; Map dominates image with long, diagonal pathway; Curvilinear main artery branches into smaller vessels with varying curvature;", + "overview": "Semantic map outlines vascular structures from angiogram.", + "dataset": "DCA1 dataset", + "location": "Map is centrally located, top-left to bottom-right.", + "size": "Map dominates image with long, diagonal pathway.", + "trend_shape": "Curvilinear main artery branches into smaller vessels with varying curvature." + }, + { + "image": "DCA1/training/annotations/225gt.png", + "caption": "Coronary artery groundtruth semantic map from X-ray angiography; DCA1 dataset; Central semantic map dominates image; Semantic map is large, close to image borders; Semantic map exhibits branching pattern with variable thickness indicating vessel caliber;", + "overview": "Coronary artery groundtruth semantic map from X-ray angiography.", + "dataset": "DCA1 dataset", + "location": "Central semantic map dominates image.", + "size": "Semantic map is large, close to image borders.", + "trend_shape": "Semantic map exhibits branching pattern with variable thickness indicating vessel caliber." + }, + { + "image": "DCA1/training/annotations/229gt.png", + "caption": "GT map of curvilinear structures from X-ray coronary angiography; DCA1 dataset; Black background, full-image semantic map; Semantic map covers image, indicating size equivalence; Hierarchical, branching map mimics coronary artery anatomy;", + "overview": "GT map of curvilinear structures from X-ray coronary angiography.", + "dataset": "DCA1 dataset", + "location": "Black background, full-image semantic map.", + "size": "Semantic map covers image, indicating size equivalence.", + "trend_shape": "Hierarchical, branching map mimics coronary artery anatomy." + }, + { + "image": "DCA1/training/annotations/231gt.png", + "caption": "Coronary arterial system semantic map (GT), showing vessel outlines; DCA1 dataset; Semantic map shows coronary arterial tree layout; High-contrast semantic map with vessels of varying fine-medium thickness on black background; Semantic map reveals main coronary artery with smooth branching and bifurcations, reflective of typical anatomy;", + "overview": "Coronary arterial system semantic map (GT), showing vessel outlines.", + "dataset": "DCA1 dataset", + "location": "Semantic map shows coronary arterial tree layout.", + "size": "High-contrast semantic map with vessels of varying fine-medium thickness on black background.", + "trend_shape": "Semantic map reveals main coronary artery with smooth branching and bifurcations, reflective of typical anatomy." + }, + { + "image": "DCA1/training/annotations/233gt.png", + "caption": "Coronary artery ground truth from X-ray angiogram; DCA1 dataset; Central semantic map with clear image boundaries; Semantic map width varies, broader in center, tapering at ends; scales with image size; Map depicts branching pattern with curved segments, reflecting natural course of coronary arteries with smooth transitions and bifurcations;", + "overview": "Coronary artery ground truth from X-ray angiogram.", + "dataset": "DCA1 dataset", + "location": "Central semantic map with clear image boundaries.", + "size": "Semantic map width varies, broader in center, tapering at ends; scales with image size.", + "trend_shape": "Map depicts branching pattern with curved segments, reflecting natural course of coronary arteries with smooth transitions and bifurcations." + }, + { + "image": "DCA1/training/annotations/235gt.png", + "caption": "Coronary artery GT semantic map; DCA1 dataset; Map curves left from top to bottom center; Map displays arterial paths of varying thickness; Dominant semantic map artery begins broadly, narrows, branches into multiple pathways forming loops, ending abruptly, or branching further;", + "overview": "Coronary artery GT semantic map.", + "dataset": "DCA1 dataset", + "location": "Map curves left from top to bottom center.", + "size": "Map displays arterial paths of varying thickness.", + "trend_shape": "Dominant semantic map artery begins broadly, narrows, branches into multiple pathways forming loops, ending abruptly, or branching further." + }, + { + "image": "DCA1/training/annotations/239gt.png", + "caption": "Coronary artery semantic map (white outline on black) serves as GT for x-ray coronary angiography; DCA1 dataset; Central map dominates image; Map size proportional to image; Curvilinear semantic map follows coronary artery branching structures;", + "overview": "Coronary artery semantic map (white outline on black) serves as GT for x-ray coronary angiography.", + "dataset": "DCA1 dataset", + "location": "Central map dominates image.", + "size": "Map size proportional to image.", + "trend_shape": "Curvilinear semantic map follows coronary artery branching structures." + }, + { + "image": "DCA1/training/annotations/23gt.png", + "caption": "Semantic map of X-ray coronary angiography image; DCA1 dataset; Semantic map in image center, mostly in upper half; Broad map covers half of image height, with varying line widths; Coronary arteries exhibit diverse branching patterns and curvilinear shapes with distinct curves and angles;", + "overview": "Semantic map of X-ray coronary angiography image.", + "dataset": "DCA1 dataset", + "location": "Semantic map in image center, mostly in upper half.", + "size": "Broad map covers half of image height, with varying line widths.", + "trend_shape": "Coronary arteries exhibit diverse branching patterns and curvilinear shapes with distinct curves and angles." + }, + { + "image": "DCA1/training/annotations/241gt.png", + "caption": "Semantic map of coronary artery system from X-ray angiography; DCA1 dataset; Central semantic map dominates image field; Varied-thickness fine lines show arterial structure; Arterial branches taper and curve from main trunk, with bifurcations typical of coronary anatomy;", + "overview": "Semantic map of coronary artery system from X-ray angiography", + "dataset": "DCA1 dataset", + "location": "Central semantic map dominates image field.", + "size": "Varied-thickness fine lines show arterial structure.", + "trend_shape": "Arterial branches taper and curve from main trunk, with bifurcations typical of coronary anatomy." + }, + { + "image": "DCA1/training/annotations/243gt.png", + "caption": "Ground truth coronary angiogram map; DCA1 dataset; Semantic map covers image center; Occupies majority of image frame; Branching coronary arteries appear as varying thickness curves, mostly diagonal top left to bottom right;", + "overview": "Ground truth coronary angiogram map", + "dataset": "DCA1 dataset", + "location": "Semantic map covers image center.", + "size": "Occupies majority of image frame.", + "trend_shape": "Branching coronary arteries appear as varying thickness curves, mostly diagonal top left to bottom right." + }, + { + "image": "DCA1/training/annotations/247gt.png", + "caption": "Coronary artery semantic map (GT) in binary format; DCA1 dataset; Semantic map: central, upper image; branches extend to periphery; Coronary artery network map shows varying sizes, with the largest artery in the center branching into finer ones at the edges; Hierarchical branching from central trunk into finer vessels resembling a coronary arterial system;", + "overview": "Coronary artery semantic map (GT) in binary format.", + "dataset": "DCA1 dataset", + "location": "Semantic map: central, upper image; branches extend to periphery.", + "size": "Coronary artery network map shows varying sizes, with the largest artery in the center branching into finer ones at the edges.", + "trend_shape": "Hierarchical branching from central trunk into finer vessels resembling a coronary arterial system." + }, + { + "image": "DCA1/training/annotations/249gt.png", + "caption": "GT vascular map of X-ray coronary angiogram; DCA1 dataset; Semantic map covers most of centered image frame; Large semantic map shows main vessel as thick vertical line branching into thinner vessels; Hierarchical vascular structure with a central thick vessel branching into thinner, curvilinear branches;", + "overview": "GT vascular map of X-ray coronary angiogram", + "dataset": "DCA1 dataset", + "location": "Semantic map covers most of centered image frame.", + "size": "Large semantic map shows main vessel as thick vertical line branching into thinner vessels.", + "trend_shape": "Hierarchical vascular structure with a central thick vessel branching into thinner, curvilinear branches." + }, + { + "image": "DCA1/training/annotations/253gt.png", + "caption": "High-contrast X-ray coronary angiography semantic map; DCA1 dataset; Central semantic map on black background; Semantic map consistently extends in various directions; Map presents intricate arterial pattern with bifurcations and size variations, mimicking coronary arteries;", + "overview": "High-contrast X-ray coronary angiography semantic map.", + "dataset": "DCA1 dataset", + "location": "Central semantic map on black background", + "size": "Semantic map consistently extends in various directions.", + "trend_shape": "Map presents intricate arterial pattern with bifurcations and size variations, mimicking coronary arteries." + }, + { + "image": "DCA1/training/annotations/255gt.png", + "caption": "Coronary artery semantic map in black and white serves as ground truth for medical imaging; DCA1 dataset; Central map fills most of space, with narrow black border; Large semantic map with varying branch thicknesses depicting coronary arteries; Semantic map exhibits complex branching with major and minor coronary arteries, vertical orientation, and tree-like bifurcation;", + "overview": "Coronary artery semantic map in black and white serves as ground truth for medical imaging.", + "dataset": "DCA1 dataset", + "location": "Central map fills most of space, with narrow black border.", + "size": "Large semantic map with varying branch thicknesses depicting coronary arteries.", + "trend_shape": "Semantic map exhibits complex branching with major and minor coronary arteries, vertical orientation, and tree-like bifurcation." + }, + { + "image": "DCA1/training/annotations/257gt.png", + "caption": "Coronary artery semantic map; DCA1 dataset; Central semantic map dominates image space; Semantic map almost fills image; Elongated, winding semantic map branches into finer details;", + "overview": "Coronary artery semantic map.", + "dataset": "DCA1 dataset", + "location": "Central semantic map dominates image space.", + "size": "Semantic map almost fills image.", + "trend_shape": "Elongated, winding semantic map branches into finer details." + }, + { + "image": "DCA1/training/annotations/259gt.png", + "caption": "X-ray coronary angiography semantic map (GT); DCA1 dataset; Central semantic map dominates image; Medium-sized semantic map with moderate complexity and line-curve network; Vertical semantic map with rightward drift and branching coronary artery-like structures;", + "overview": "X-ray coronary angiography semantic map (GT)", + "dataset": "DCA1 dataset", + "location": "Central semantic map dominates image.", + "size": "Medium-sized semantic map with moderate complexity and line-curve network.", + "trend_shape": "Vertical semantic map with rightward drift and branching coronary artery-like structures." + }, + { + "image": "DCA1/training/annotations/261gt.png", + "caption": "Coronary artery map from X-ray angiography; DCA1 dataset; Central semantic map of coronary artery branching structure; Map covers most image area, with line thickness denoting vessel size; Complex vascular structure with multiple vessel bifurcations, originating top-left and branching towards bottom-right, resembling coronary artery paths;", + "overview": "Coronary artery map from X-ray angiography.", + "dataset": "DCA1 dataset", + "location": "Central semantic map of coronary artery branching structure.", + "size": "Map covers most image area, with line thickness denoting vessel size.", + "trend_shape": "Complex vascular structure with multiple vessel bifurcations, originating top-left and branching towards bottom-right, resembling coronary artery paths." + }, + { + "image": "DCA1/training/annotations/265gt.png", + "caption": "GT of coronary angiography shows clear vascular structures; DCA1 dataset; Semantic map occupies upper two-thirds of image, centered vertically; Semantic map: high contrast with varying line widths (vessel calibers); Branching patterns resemble coronary arterial tree shape, mostly vertical with some curvilinear and serpentine trends;", + "overview": "GT of coronary angiography shows clear vascular structures.", + "dataset": "DCA1 dataset", + "location": "Semantic map occupies upper two-thirds of image, centered vertically.", + "size": "Semantic map: high contrast with varying line widths (vessel calibers)", + "trend_shape": "Branching patterns resemble coronary arterial tree shape, mostly vertical with some curvilinear and serpentine trends." + }, + { + "image": "DCA1/training/annotations/67gt.png", + "caption": "Image shows a semantic coronary artery map; DCA1 dataset; Centered semantic map with clear margins; Semantic map spans image diagonally, from top left to bottom right; Curvilinear map bifurcates into two smooth branches, one upward and one downward;", + "overview": "Image shows a semantic coronary artery map.", + "dataset": "DCA1 dataset", + "location": "Centered semantic map with clear margins.", + "size": "Semantic map spans image diagonally, from top left to bottom right.", + "trend_shape": "Curvilinear map bifurcates into two smooth branches, one upward and one downward." + }, + { + "image": "DCA1/training/annotations/79gt.png", + "caption": "Coronary angiography semantic map (GT); DCA1 dataset; Semantic map: central and upper left; Semantic map is medium-sized relative to image frame; Coronary arteries resembling a tree-like pattern, radiating from center to upper left;", + "overview": "Coronary angiography semantic map (GT).", + "dataset": "DCA1 dataset", + "location": "Semantic map: central and upper left.", + "size": "Semantic map is medium-sized relative to image frame.", + "trend_shape": "Coronary arteries resembling a tree-like pattern, radiating from center to upper left." + }, + { + "image": "DCA1/training/annotations/81gt.png", + "caption": "GT coronary angiography map: vascular structures depicted as line work; DCA1 dataset; Semantic map dominates the image; Large size, spanning almost entire image; Curvilinear trend with variable thickness suggests arterial branching;", + "overview": "GT coronary angiography map: vascular structures depicted as line work.", + "dataset": "DCA1 dataset", + "location": "Semantic map dominates the image.", + "size": "Large size, spanning almost entire image.", + "trend_shape": "Curvilinear trend with variable thickness suggests arterial branching." + }, + { + "image": "DCA1/training/annotations/85gt.png", + "caption": "Coronary artery GT map from X-ray angiography; DCA1 dataset; Centered semantic map dominates image; The semantic map spans most of the image; Branching vascular structure with main vessel and bifurcations in linear and curvilinear shapes;", + "overview": "Coronary artery GT map from X-ray angiography.", + "dataset": "DCA1 dataset", + "location": "Centered semantic map dominates image.", + "size": "The semantic map spans most of the image.", + "trend_shape": "Branching vascular structure with main vessel and bifurcations in linear and curvilinear shapes." + }, + { + "image": "DCA1/training/annotations/87gt.png", + "caption": "High-contrast arterial map (GT) from DCA1 X-ray angiography; DCA1 dataset; Centered semantic map dominates image with clear black margins; Arteries depicted by lines covering most of the image with varying thickness; Arterial trends exhibit typical coronary bifurcations and curvatures, combining straight segments and smooth curves in arterial pathways;", + "overview": "High-contrast arterial map (GT) from DCA1 X-ray angiography.", + "dataset": "DCA1 dataset", + "location": "Centered semantic map dominates image with clear black margins.", + "size": "Arteries depicted by lines covering most of the image with varying thickness.", + "trend_shape": "Arterial trends exhibit typical coronary bifurcations and curvatures, combining straight segments and smooth curves in arterial pathways." + }, + { + "image": "DCA1/training/annotations/89gt.png", + "caption": "X-ray coronary angiogram GT map; DCA1 dataset; Central map surrounded by empty space; The map, larger than its image, features fine lines showing coronary arteries; Arteries branch from top to bottom, elongated with curves and angles;", + "overview": "X-ray coronary angiogram GT map", + "dataset": "DCA1 dataset", + "location": "Central map surrounded by empty space.", + "size": "The map, larger than its image, features fine lines showing coronary arteries.", + "trend_shape": "Arteries branch from top to bottom, elongated with curves and angles." + }, + { + "image": "DCA1/training/annotations/92gt.png", + "caption": "Semantic map/GT of coronary arteries; DCA1 dataset; Semantic map spans image's upper half, from top-center to bottom-left; Large semantic map covers most of image space, with varying length and width; Semantic map's main artery originates top-center, curving and narrowing to bottom-left; intricate branches extend, forming a complex vascular network;", + "overview": "Semantic map/GT of coronary arteries.", + "dataset": "DCA1 dataset", + "location": "Semantic map spans image's upper half, from top-center to bottom-left.", + "size": "Large semantic map covers most of image space, with varying length and width.", + "trend_shape": "Semantic map's main artery originates top-center, curving and narrowing to bottom-left; intricate branches extend, forming a complex vascular network." + }, + { + "image": "DCA1/training/annotations/93gt.png", + "caption": "Coronary angiography semantic map; DCA1 dataset; Map is central and occupies most of the image; Semantic map covers 80% of image area; Semantic map shows complex, branching vascular structure with varying vessel diameters and lengths;", + "overview": "Coronary angiography semantic map.", + "dataset": "DCA1 dataset", + "location": "Map is central and occupies most of the image.", + "size": "Semantic map covers 80% of image area.", + "trend_shape": "Semantic map shows complex, branching vascular structure with varying vessel diameters and lengths." + }, + { + "image": "DCA1/training/annotations/95gt.png", + "caption": "Arterial structure map for X-ray coronary angiography; DCA1 dataset; Centralized map on dark background fills most of the image; The expansive map occupies 80% width and 60% height of the image; Artery curves from upper left to lower right, with primary branches extending downwards and a bifurcation on the lower branch;", + "overview": "Arterial structure map for X-ray coronary angiography.", + "dataset": "DCA1 dataset", + "location": "Centralized map on dark background fills most of the image.", + "size": "The expansive map occupies 80% width and 60% height of the image.", + "trend_shape": "Artery curves from upper left to lower right, with primary branches extending downwards and a bifurcation on the lower branch." + }, + { + "image": "DCA1/training/annotations/99gt.png", + "caption": "Ground truth map for coronary angiography image; DCA1 dataset; Off-center semantic map positioned in upper left quadrant, leaving more space in lower right; Semantic map is within the image; Curvilinear semantic map branches from top left, forming three thinner paths with varying curvature and lengths;", + "overview": "Ground truth map for coronary angiography image.", + "dataset": "DCA1 dataset", + "location": "Off-center semantic map positioned in upper left quadrant, leaving more space in lower right.", + "size": "Semantic map is within the image.", + "trend_shape": "Curvilinear semantic map branches from top left, forming three thinner paths with varying curvature and lengths." + }, + { + "image": "DCA1/test/images/10img.png", + "caption": "Monochromatic X-ray image of a coronary artery with injected contrast; DCA1 dataset; Coronary angiography is centered mainly in the image's upper right; Coronary angiography reveals blood vessels with diameters varying, including segments <2mm; Blood vessels tortuous, following downward and rightward trend, with branching patterns;", + "overview": "Monochromatic X-ray image of a coronary artery with injected contrast.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography is centered mainly in the image's upper right.", + "size": "Coronary angiography reveals blood vessels with diameters varying, including segments <2mm.", + "trend_shape": "Blood vessels tortuous, following downward and rightward trend, with branching patterns.", + "background": "Homogeneous, mottled background contrasts vessels." + }, + { + "image": "DCA1/test/images/12img.png", + "caption": "Medical X-ray image showing coronary arteries of the heart; DCA1 dataset; Coronary angiography is centrally located; The coronary arteries appear fine and detailed; The arteries exhibit a branching pattern with smooth curves and bifurcations; The background is uniform and radiolucent;", + "overview": "Medical X-ray image showing coronary arteries of the heart;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located;", + "size": "The coronary arteries appear fine and detailed;", + "trend_shape": "The arteries exhibit a branching pattern with smooth curves and bifurcations;", + "background": "The background is uniform and radiolucent." + }, + { + "image": "DCA1/test/images/14img.png", + "caption": "Monochrome X-ray of cardiac artery structure; DCA1 dataset; Angiography visible in center, catheter tip entering from top left; Angiography shows vessels of varying size, with the main artery larger than its branches; Tortuous coronary arteries smoothly bifurcate following heart contour;", + "overview": "Monochrome X-ray of cardiac artery structure", + "dataset": "DCA1 dataset", + "location": "Angiography visible in center, catheter tip entering from top left.", + "size": "Angiography shows vessels of varying size, with the main artery larger than its branches.", + "trend_shape": "Tortuous coronary arteries smoothly bifurcate following heart contour.", + "background": "Uniform, featureless background enhances angiographic contrast." + }, + { + "image": "DCA1/test/images/16img.png", + "caption": "Grayscale X-ray image of coronary artery structure; DCA1 dataset; Coronary angiography is centered; Arteries show varying caliber, with main artery prominent and branches tapering; Coronary artery: smooth curve with tortuous, fine branches;", + "overview": "Grayscale X-ray image of coronary artery structure.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography is centered.", + "size": "Arteries show varying caliber, with main artery prominent and branches tapering.", + "trend_shape": "Coronary artery: smooth curve with tortuous, fine branches.", + "background": "Uniformly dark background with no structures." + }, + { + "image": "DCA1/test/images/18img.png", + "caption": "Coronary angiogram; DCA1 dataset; Coronary angiography centrally displayed, catheter insertion visible; Vessel size variable, arteries fine, prominent main coronary arteries thick; Arteries branch and curve, exhibiting varying contours indicative of flow or vessel wall characteristics;", + "overview": "Coronary angiogram", + "dataset": "DCA1 dataset", + "location": "Coronary angiography centrally displayed, catheter insertion visible.", + "size": "Vessel size variable, arteries fine, prominent main coronary arteries thick.", + "trend_shape": "Arteries branch and curve, exhibiting varying contours indicative of flow or vessel wall characteristics.", + "background": "Gray background with X-ray imaging gradient shades." + }, + { + "image": "DCA1/test/images/20img.png", + "caption": "Coronary angiogram showing contrast-filled arteries; DCA1 dataset; Angiogram shows left coronary artery system; Coronary angiography tracks arteries from millimeters to the main artery; Arteries are branched, smooth-contoured, tortuous, with uniform diameter before bifurcating;", + "overview": "Coronary angiogram showing contrast-filled arteries.", + "dataset": "DCA1 dataset", + "location": "Angiogram shows left coronary artery system.", + "size": "Coronary angiography tracks arteries from millimeters to the main artery.", + "trend_shape": "Arteries are branched, smooth-contoured, tortuous, with uniform diameter before bifurcating.", + "background": "Homogenous background contrasts highlighted coronary arteries." + }, + { + "image": "DCA1/test/images/24img.png", + "caption": "X-ray of heart's arteries; DCA1 dataset; Coronary angiography shows the heart's left arterial system; Moderate-sized coronary angiography with varying vessel diameters; Coronary arteries exhibit smooth branching with LAD, side branches, and obtuse circumflex marginals;", + "overview": "X-ray of heart's arteries", + "dataset": "DCA1 dataset", + "location": "Coronary angiography shows the heart's left arterial system.", + "size": "Moderate-sized coronary angiography with varying vessel diameters.", + "trend_shape": "Coronary arteries exhibit smooth branching with LAD, side branches, and obtuse circumflex marginals.", + "background": "Uniform dark background with minimal noise." + }, + { + "image": "DCA1/test/images/26img.png", + "caption": "Monochromatic X-ray coronary angiogram with high-contrast vasculature; DCA1 dataset; Centrally located coronary angiography, predominant in upper half with visible arteries; Coronary angiography within image is large, covering arterial network extensively; Tortuous coronary angiography with smooth, elongated branches;", + "overview": "Monochromatic X-ray coronary angiogram with high-contrast vasculature.", + "dataset": "DCA1 dataset", + "location": "Centrally located coronary angiography, predominant in upper half with visible arteries.", + "size": "Coronary angiography within image is large, covering arterial network extensively.", + "trend_shape": "Tortuous coronary angiography with smooth, elongated branches.", + "background": "Dark background with clear contrast for vascular structures." + }, + { + "image": "DCA1/test/images/28img.png", + "caption": "Chest radiograph of coronary arteries with contrast; DCA1 dataset; Left-sided coronary angiogram centered on heart; Vessel diameters range from 2-4 mm (main artery) to progressively narrower branches; Arterial system features branching with smooth primary artery descending, bifurcating laterally in curves;", + "overview": "Chest radiograph of coronary arteries with contrast.", + "dataset": "DCA1 dataset", + "location": "Left-sided coronary angiogram centered on heart.", + "size": "Vessel diameters range from 2-4 mm (main artery) to progressively narrower branches.", + "trend_shape": "Arterial system features branching with smooth primary artery descending, bifurcating laterally in curves.", + "background": "Dim, uniform background with highlighted vasculature." + }, + { + "image": "DCA1/test/images/30img.png", + "caption": "Monochromatic X-ray of contrast-enhanced coronary arteries; DCA1 dataset; Coronary angiography central, heart centered; Coronary angiography reveals vessels of varying calibers; Tortuous arteries show irregular contours with branching and overlap;", + "overview": "Monochromatic X-ray of contrast-enhanced coronary arteries", + "dataset": "DCA1 dataset", + "location": "Coronary angiography central, heart centered.", + "size": "Coronary angiography reveals vessels of varying calibers.", + "trend_shape": "Tortuous arteries show irregular contours with branching and overlap.", + "background": "Uniform, translucent background with soft shadows." + }, + { + "image": "DCA1/test/images/32img.png", + "caption": "Coronary angiogram with contrast; DCA1 dataset; Coronary angiography traverses center, upper left to lower right; Coronary arteries taper distally; Coronary arteries have a branching tree-like structure with a natural curvature, with larger vessels being more prominent than smaller ones;", + "overview": "Coronary angiogram with contrast.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography traverses center, upper left to lower right.", + "size": "Coronary arteries taper distally.", + "trend_shape": "Coronary arteries have a branching tree-like structure with a natural curvature, with larger vessels being more prominent than smaller ones.", + "background": "Dark background, low contrast, highlighted coronary arteries." + }, + { + "image": "DCA1/test/images/34img.png", + "caption": "Monochromatic X-ray image of coronary arteries; DCA1 dataset; Central to the image, predominantly on the left side; Variable diameter, main artery approximately 2-4 mm; Tortuous and branching pattern with smooth contours; Homogeneous, translucent background with gradations of grey;", + "overview": "Monochromatic X-ray image of coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Central to the image, predominantly on the left side;", + "size": "Variable diameter, main artery approximately 2-4 mm;", + "trend_shape": "Tortuous and branching pattern with smooth contours;", + "background": "Homogeneous, translucent background with gradations of grey." + }, + { + "image": "DCA1/test/images/36img.png", + "caption": "Coronary angiography X-ray image; DCA1 dataset; Central coronary angiography with multiple branching vessels; Vessel size varies, showing potential stenosis or anatomy variations; Tortuous arterial course with mixed straight/curved segments and branched vessels of tapering calibers;", + "overview": "Coronary angiography X-ray image.", + "dataset": "DCA1 dataset", + "location": "Central coronary angiography with multiple branching vessels.", + "size": "Vessel size varies, showing potential stenosis or anatomy variations.", + "trend_shape": "Tortuous arterial course with mixed straight/curved segments and branched vessels of tapering calibers.", + "background": "Radiopaque background with subtle shadows." + }, + { + "image": "DCA1/test/images/38img.png", + "caption": "Coronary angiogram; DCA1 dataset; Coronary angio prominent in the central-left image region; Angiography shows branching vessels of varying diameters, some narrower than 2 mm; Coronary vessels exhibit a complex tortuous course with curvilinear and branching segments;", + "overview": "Coronary angiogram.", + "dataset": "DCA1 dataset", + "location": "Coronary angio prominent in the central-left image region.", + "size": "Angiography shows branching vessels of varying diameters, some narrower than 2 mm.", + "trend_shape": "Coronary vessels exhibit a complex tortuous course with curvilinear and branching segments.", + "background": "Minimalist grey backdrop." + }, + { + "image": "DCA1/test/images/40img.png", + "caption": "Coronary angiogram; DCA1 dataset; Arterial network visible in upper-central image; Visible artery diameter consistent with standard coronary size; Arterial pattern: smooth, curved branches with no blockages;", + "overview": "Coronary angiogram", + "dataset": "DCA1 dataset", + "location": "Arterial network visible in upper-central image.", + "size": "Visible artery diameter consistent with standard coronary size.", + "trend_shape": "Arterial pattern: smooth, curved branches with no blockages.", + "background": "Dark background enhances angiography contrast." + }, + { + "image": "DCA1/test/images/42img.png", + "caption": "Coronary artery angiography X-ray image; DCA1 dataset; Central coronary angiography dominates the image; Coronary angiography branches range from 1-4 mm in diameter; Left coronary artery arborizes into LAD and circumflex arteries;", + "overview": "Coronary artery angiography X-ray image.", + "dataset": "DCA1 dataset", + "location": "Central coronary angiography dominates the image.", + "size": "Coronary angiography branches range from 1-4 mm in diameter.", + "trend_shape": "Left coronary artery arborizes into LAD and circumflex arteries.", + "background": "Dark uniform background contrasts highlighted coronary arteries." + }, + { + "image": "DCA1/test/images/46img.png", + "caption": "Monochrome coronary angiography image of cardiovascular structures; DCA1 dataset; Coronary angiography shows major cardiac vessels; Size varies, with larger main vessels branching into smaller vessels; Tapering, winding vessels with varying branching patterns;", + "overview": "Monochrome coronary angiography image of cardiovascular structures.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography shows major cardiac vessels.", + "size": "Size varies, with larger main vessels branching into smaller vessels.", + "trend_shape": "Tapering, winding vessels with varying branching patterns.", + "background": "Uniformly dark void." + }, + { + "image": "DCA1/test/images/48img.png", + "caption": "X-ray image of cardiac vessels; DCA1 dataset; Central region branching left from trunk; Vessel diameter ranges from 1 to 4mm, tapering distally; Sinuous vessels with curvilinear and branching paths, enhanced by contrast media;", + "overview": "X-ray image of cardiac vessels", + "dataset": "DCA1 dataset", + "location": "Central region branching left from trunk.", + "size": "Vessel diameter ranges from 1 to 4mm, tapering distally.", + "trend_shape": "Sinuous vessels with curvilinear and branching paths, enhanced by contrast media.", + "background": "Grey, uniform background." + }, + { + "image": "DCA1/test/images/4img.png", + "caption": "Coronary angiogram; DCA1 dataset; Coronary angiography centrally located, prominent visibility evident; Coronary angiogram shows vessels of varying size, some dilated, others narrowed; Coronary vessels show serpentine curves with stenosis (narrowing) and normal segments;", + "overview": "Coronary angiogram.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography centrally located, prominent visibility evident.", + "size": "Coronary angiogram shows vessels of varying size, some dilated, others narrowed.", + "trend_shape": "Coronary vessels show serpentine curves with stenosis (narrowing) and normal segments.", + "background": "Uniform background contrasts, highlighting vessels." + }, + { + "image": "DCA1/test/images/50img.png", + "caption": "Coronary artery X-ray; DCA1 dataset; Coronary angiography in vertical center; Coronary angiography shows varying segment sizes, with potential stenosis or vessel branching; Tortuous coronary angiography with multiple curves and linear/branching patterns indicates a complex vascular network;", + "overview": "Coronary artery X-ray.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography in vertical center.", + "size": "Coronary angiography shows varying segment sizes, with potential stenosis or vessel branching.", + "trend_shape": "Tortuous coronary angiography with multiple curves and linear/branching patterns indicates a complex vascular network.", + "background": "Mottled soft tissue background per imaging." + }, + { + "image": "DCA1/test/images/52img.png", + "caption": "Coronary arteries visible on contrast-filled X-ray; DCA1 dataset; Angiography shows left coronary arteries; Coronary angiography shows narrowed segments, suggesting potential stenosis; Arteries show curviness and tortuosity in parts, while others are smooth and consistent;", + "overview": "Coronary arteries visible on contrast-filled X-ray.", + "dataset": "DCA1 dataset", + "location": "Angiography shows left coronary arteries.", + "size": "Coronary angiography shows narrowed segments, suggesting potential stenosis.", + "trend_shape": "Arteries show curviness and tortuosity in parts, while others are smooth and consistent.", + "background": "Grey background consistent with radiographic field." + }, + { + "image": "DCA1/test/images/54img.png", + "caption": "Monochromatic X-ray image of filled coronary arteries; DCA1 dataset; Frontal coronary angiogram; Coronary arteries show varying calibers from fine to wide; Arteries have a serpentine course with branching, undulating with both straight and curved segments;", + "overview": "Monochromatic X-ray image of filled coronary arteries", + "dataset": "DCA1 dataset", + "location": "Frontal coronary angiogram.", + "size": "Coronary arteries show varying calibers from fine to wide.", + "trend_shape": "Arteries have a serpentine course with branching, undulating with both straight and curved segments.", + "background": "Dark background with no features amplifies coronary angiography contrast." + }, + { + "image": "DCA1/test/images/56img.png", + "caption": "Coronary angiography X-ray showing contrast-filled arteries; DCA1 dataset; Coronary angiography depicts the heart's vascular network; Coronary arteries range from wide proximal to narrow distal branches; Coronary artery bifurcates into smaller branches with curvy shape;", + "overview": "Coronary angiography X-ray showing contrast-filled arteries.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography depicts the heart's vascular network.", + "size": "Coronary arteries range from wide proximal to narrow distal branches.", + "trend_shape": "Coronary artery bifurcates into smaller branches with curvy shape.", + "background": "Dark, uniform background contrasts highlighted vasculature." + }, + { + "image": "DCA1/test/images/58img.png", + "caption": "Contrast-enhanced angiogram X-ray visualizes vascular structures; DCA1 dataset; Coronary angiogram shows heart's main arteries; Angiography displays vessels ranging in size, with the main coronary artery dominant; Angiography shows natural coronary artery course;", + "overview": "Contrast-enhanced angiogram X-ray visualizes vascular structures.", + "dataset": "DCA1 dataset", + "location": "Coronary angiogram shows heart's main arteries.", + "size": "Angiography displays vessels ranging in size, with the main coronary artery dominant.", + "trend_shape": "Angiography shows natural coronary artery course.", + "background": "Dark, homogeneous background with minimal noise." + }, + { + "image": "DCA1/test/images/60img.png", + "caption": "Heart vascular X-ray; DCA1 dataset; Coronary angiography: predominantly left-sided cardiac vessels displayed; Coronary angiography shows vessels of varying sizes, with the main artery dominant; Normal coronary arterial tree with curved, sinuous path and no lesions;", + "overview": "Heart vascular X-ray.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography: predominantly left-sided cardiac vessels displayed.", + "size": "Coronary angiography shows vessels of varying sizes, with the main artery dominant.", + "trend_shape": "Normal coronary arterial tree with curved, sinuous path and no lesions.", + "background": "Grayscale X-ray image with gradient shading." + }, + { + "image": "DCA1/test/images/62img.png", + "caption": "Monochrome X-ray of cardiovascular structures; DCA1 dataset; Coronary angiography: middle third of image, vertical; Vessel diameter 1-4 mm, variable lengths; Arterial branches exhibit sinuous courses, some tortuous, others smoothly curved;", + "overview": "Monochrome X-ray of cardiovascular structures.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography: middle third of image, vertical.", + "size": "Vessel diameter 1-4 mm, variable lengths", + "trend_shape": "Arterial branches exhibit sinuous courses, some tortuous, others smoothly curved.", + "background": "Gray background with no features." + }, + { + "image": "DCA1/test/images/64img.png", + "caption": "Monochromatic X-ray image of cardiovascular system with high contrast; DCA1 dataset; Coronary angiogram is centrally located, occupying the image's middle third; Coronary angiography is large, with major vessels clearly visible; Tortuous coronary angiography with multiple bends, tapering diameter, and normal variations;", + "overview": "Monochromatic X-ray image of cardiovascular system with high contrast.", + "dataset": "DCA1 dataset", + "location": "Coronary angiogram is centrally located, occupying the image's middle third.", + "size": "Coronary angiography is large, with major vessels clearly visible.", + "trend_shape": "Tortuous coronary angiography with multiple bends, tapering diameter, and normal variations.", + "background": "Uniform, low-contrast background enhances angiography visibility." + }, + { + "image": "DCA1/test/images/68img.png", + "caption": "Monochromatic CV X-ray image; DCA1 dataset; Coronary angiography visible centrally, upper right; Coronary angiography varies in size, with prominent main arteries and progressively tapering smaller branches; Coronary arteries show varied patterns: larger arteries are smoother, while smaller branches are curvilinear;", + "overview": "Monochromatic CV X-ray image", + "dataset": "DCA1 dataset", + "location": "Coronary angiography visible centrally, upper right.", + "size": "Coronary angiography varies in size, with prominent main arteries and progressively tapering smaller branches.", + "trend_shape": "Coronary arteries show varied patterns: larger arteries are smoother, while smaller branches are curvilinear.", + "background": "Homogeneous low-density background" + }, + { + "image": "DCA1/test/images/6img.png", + "caption": "Angiographic image of heart's arteries; DCA1 dataset; Central coronary angiography shows left coronary artery system; Angiography reveals vessels of varying sizes; Angiography shows left coronary artery bifurcating into LAD and LCX, exhibiting a smooth, sinuous shape with peripheral branching;", + "overview": "Angiographic image of heart's arteries.", + "dataset": "DCA1 dataset", + "location": "Central coronary angiography shows left coronary artery system.", + "size": "Angiography reveals vessels of varying sizes.", + "trend_shape": "Angiography shows left coronary artery bifurcating into LAD and LCX, exhibiting a smooth, sinuous shape with peripheral branching.", + "background": "Dense background with soft shadows." + }, + { + "image": "DCA1/test/images/70img.png", + "caption": "Coronary angiogram of contrast-filled arteries on chest X-ray; DCA1 dataset; Coronary angiography: left system visualized; Coronary artery sizes vary from millimeters to smaller branches; Coronary artery divides into LAD and LCX, with tortuous branching vessels visible;", + "overview": "Coronary angiogram of contrast-filled arteries on chest X-ray.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography: left system visualized.", + "size": "Coronary artery sizes vary from millimeters to smaller branches.", + "trend_shape": "Coronary artery divides into LAD and LCX, with tortuous branching vessels visible.", + "background": "Radiolucent background enhances coronary visibility." + }, + { + "image": "DCA1/test/images/72img.png", + "caption": "Monochrome X-ray of coronary arteries; DCA1 dataset; Centered vertically and horizontally; Variable diameter 2-4 mm, some branches tapering with extension; Tortuous arteries with smooth curves and bifurcations, some segments linear;", + "overview": "Monochrome X-ray of coronary arteries.", + "dataset": "DCA1 dataset", + "location": "Centered vertically and horizontally.", + "size": "Variable diameter 2-4 mm, some branches tapering with extension", + "trend_shape": "Tortuous arteries with smooth curves and bifurcations, some segments linear.", + "background": "Soft tissue shadows on grey background." + }, + { + "image": "DCA1/test/images/76img.png", + "caption": "Enhanced coronary X-ray; DCA1 dataset; Central coronary angiography, left-sided focus; Diameter: 1-4mm; vessels taper distally; Coronary arteries have a smooth, branching pattern with no visible abnormalities;", + "overview": "Enhanced coronary X-ray.", + "dataset": "DCA1 dataset", + "location": "Central coronary angiography, left-sided focus.", + "size": "Diameter: 1-4mm; vessels taper distally", + "trend_shape": "Coronary arteries have a smooth, branching pattern with no visible abnormalities.", + "background": "Grayscale background with minimal noise/artifacts." + }, + { + "image": "DCA1/test/images/74img.png", + "caption": "Grayscale angiogram of coronary arteries; DCA1 dataset; Coronary angiography central, filling majority of image; Coronary angiography spans the image center, revealing multiple branches; Tortuous coronary angiography with varying contrast flow;", + "overview": "Grayscale angiogram of coronary arteries.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography central, filling majority of image.", + "size": "Coronary angiography spans the image center, revealing multiple branches.", + "trend_shape": "Tortuous coronary angiography with varying contrast flow.", + "background": "Dark uniform background contrasts highlighted vasculature." + }, + { + "image": "DCA1/test/images/8img.png", + "caption": "Coronary angiogram X-ray image of the heart's vascular structure; DCA1 dataset; Central coronary angiogram depicts left coronary arteries; Angiography reveals vessels varying in size, with the largest artery branching to smaller ones; Left coronary artery branching pattern shows smooth curvature with no blockage;", + "overview": "Coronary angiogram X-ray image of the heart's vascular structure.", + "dataset": "DCA1 dataset", + "location": "Central coronary angiogram depicts left coronary arteries.", + "size": "Angiography reveals vessels varying in size, with the largest artery branching to smaller ones.", + "trend_shape": "Left coronary artery branching pattern shows smooth curvature with no blockage.", + "background": "Uniform, dark background heightens vessel contrast." + }, + { + "image": "DCA1/test/annotations/10gt.png", + "caption": "Semantic map of an X-ray angiography; DCA1 dataset; Semantic map centrally located on black background; Semantic map spans the image height with variable width; Coronary artery-like semantic map: complex, branching pattern with main trunk and curved branches;", + "overview": "Semantic map of an X-ray angiography", + "dataset": "DCA1 dataset", + "location": "Semantic map centrally located on black background.", + "size": "Semantic map spans the image height with variable width.", + "trend_shape": "Coronary artery-like semantic map: complex, branching pattern with main trunk and curved branches." + }, + { + "image": "DCA1/test/annotations/16gt.png", + "caption": "Semantic GT map with simplified outline; DCA1 dataset; Semantic map in image center; Semantic map is medium in size; Semantic map exhibits a vertical, curvilinear trend with coronary artery-like branching patterns;", + "overview": "Semantic GT map with simplified outline.", + "dataset": "DCA1 dataset", + "location": "Semantic map in image center.", + "size": "Semantic map is medium in size.", + "trend_shape": "Semantic map exhibits a vertical, curvilinear trend with coronary artery-like branching patterns." + }, + { + "image": "DCA1/test/annotations/18gt.png", + "caption": "X-ray angiography image GT map delineating vascular structures; DCA1 dataset; Semantic map at image center, vascular structures extend peripherally; Vascular structures vary in thickness and length (longest: ~2/3 image height; thickest: ~1/20 image width); Arterial branching and vessel caliber variation resemble coronary arteries;", + "overview": "X-ray angiography image GT map delineating vascular structures", + "dataset": "DCA1 dataset", + "location": "Semantic map at image center, vascular structures extend peripherally.", + "size": "Vascular structures vary in thickness and length (longest: ~2/3 image height; thickest: ~1/20 image width).", + "trend_shape": "Arterial branching and vessel caliber variation resemble coronary arteries." + }, + { + "image": "DCA1/test/annotations/20gt.png", + "caption": "Semantic coronary artery map from X-ray angiography; DCA1 dataset; Central semantic map dominates image space; Map fully fills image, extending across edges with varying thickness; Semantic map depicts realistic coronary artery branching with smooth transitions and bifurcations;", + "overview": "Semantic coronary artery map from X-ray angiography.", + "dataset": "DCA1 dataset", + "location": "Central semantic map dominates image space.", + "size": "Map fully fills image, extending across edges with varying thickness.", + "trend_shape": "Semantic map depicts realistic coronary artery branching with smooth transitions and bifurcations." + }, + { + "image": "DCA1/test/annotations/28gt.png", + "caption": "X-ray coronary angiography semantic map (GT); DCA1 dataset; Semantic map centrally located, distinct from edges; Semantic map size: moderate relative to image, covering most but not all; Semantic map complexly branches, resembling coronary artery anatomy with main and finer structures;", + "overview": "X-ray coronary angiography semantic map (GT)", + "dataset": "DCA1 dataset", + "location": "Semantic map centrally located, distinct from edges.", + "size": "Semantic map size: moderate relative to image, covering most but not all.", + "trend_shape": "Semantic map complexly branches, resembling coronary artery anatomy with main and finer structures." + }, + { + "image": "DCA1/test/annotations/30gt.png", + "caption": "GT of a coronary artery tree from X-ray angiography; DCA1 dataset; Map central to image; Map dominates image, with longest vessel spanning its height; Branched, tree-like coronary vessels of varying widths, with curved and sinuous shapes;", + "overview": "GT of a coronary artery tree from X-ray angiography", + "dataset": "DCA1 dataset", + "location": "Map central to image.", + "size": "Map dominates image, with longest vessel spanning its height.", + "trend_shape": "Branched, tree-like coronary vessels of varying widths, with curved and sinuous shapes." + }, + { + "image": "DCA1/test/annotations/32gt.png", + "caption": "Semantic map (GT) of X-ray coronary angiography; DCA1 dataset; Central region of the image, predominantly occupying the upper half; Varied vascular width, largest dimension approximately one-third of the image width; Branching arterial structure with tapering vessels, following a nonlinear, curvilinear trajectory;", + "overview": "Semantic map (GT) of X-ray coronary angiography;", + "dataset": "DCA1 dataset;", + "location": "Central region of the image, predominantly occupying the upper half;", + "size": "Varied vascular width, largest dimension approximately one-third of the image width;", + "trend_shape": "Branching arterial structure with tapering vessels, following a nonlinear, curvilinear trajectory." + }, + { + "image": "DCA1/test/annotations/36gt.png", + "caption": "X-ray coronary angiography semantic map (GT); DCA1 dataset; Semantic map occupies the image center, skewed towards the upper right; Variable-size map with lines indicating vessel calibers; Complex map trend mimics coronary artery anatomy, with branching and curvilinear shapes forming acute angles at bifurcations;", + "overview": "X-ray coronary angiography semantic map (GT)", + "dataset": "DCA1 dataset", + "location": "Semantic map occupies the image center, skewed towards the upper right.", + "size": "Variable-size map with lines indicating vessel calibers.", + "trend_shape": "Complex map trend mimics coronary artery anatomy, with branching and curvilinear shapes forming acute angles at bifurcations." + }, + { + "image": "DCA1/test/annotations/46gt.png", + "caption": "X-ray coronary angiography ground truth (GT) semantic map; DCA1 dataset; Central semantic map dominates image; Moderate-sized semantic map with fine vessel detail resolution; Semantic map shows branching vascular structures with varying diameters and smooth contours;", + "overview": "X-ray coronary angiography ground truth (GT) semantic map", + "dataset": "DCA1 dataset", + "location": "Central semantic map dominates image.", + "size": "Moderate-sized semantic map with fine vessel detail resolution.", + "trend_shape": "Semantic map shows branching vascular structures with varying diameters and smooth contours." + }, + { + "image": "DCA1/test/annotations/48gt.png", + "caption": "GT of X-ray coronary angiography; DCA1 dataset; Centered semantic map occupies most of the image; Matching angiography image dimensions; Branching coronary arteries radiate from a central trunk, varier in width with curvilinear shapes;", + "overview": "GT of X-ray coronary angiography", + "dataset": "DCA1 dataset", + "location": "Centered semantic map occupies most of the image.", + "size": "Matching angiography image dimensions", + "trend_shape": "Branching coronary arteries radiate from a central trunk, varier in width with curvilinear shapes." + }, + { + "image": "DCA1/test/annotations/50gt.png", + "caption": "High-contrast image of X-ray coronary angiography semantic map (GT); DCA1 dataset; Centralized map within image, majority right; Vertical semantic map occupying moderate width and most height; Semantic map: elongated, curvilinear structures representing coronary arteries with varying thickness for vessel size, showing bifurcations and branching patterns;", + "overview": "High-contrast image of X-ray coronary angiography semantic map (GT)", + "dataset": "DCA1 dataset", + "location": "Centralized map within image, majority right.", + "size": "Vertical semantic map occupying moderate width and most height.", + "trend_shape": "Semantic map: elongated, curvilinear structures representing coronary arteries with varying thickness for vessel size, showing bifurcations and branching patterns." + }, + { + "image": "DCA1/test/annotations/54gt.png", + "caption": "X-ray angiography semantic map (GT) with vascular highlights; DCA1 dataset; Semantic map centralizes on primary vessel structures, covering entire image; Image resolution is standard with clear, high-contrast semantic map; Curved arterial pathways with typical coronary branching and variable vessel widths originate from a central arterial trunk;", + "overview": "X-ray angiography semantic map (GT) with vascular highlights.", + "dataset": "DCA1 dataset", + "location": "Semantic map centralizes on primary vessel structures, covering entire image.", + "size": "Image resolution is standard with clear, high-contrast semantic map.", + "trend_shape": "Curved arterial pathways with typical coronary branching and variable vessel widths originate from a central arterial trunk." + }, + { + "image": "DCA1/test/annotations/56gt.png", + "caption": "Ground truth semantic map of X-ray coronary angiography; DCA1 dataset; Semantic map centrally located, displaying major coronary arteries; Semantic map spans most of the image, varied line thickness approximating vessel diameter; Vessel representation tapers, bifurcates, and curves throughout, imitating natural coronary anatomy;", + "overview": "Ground truth semantic map of X-ray coronary angiography;", + "dataset": "DCA1 dataset;", + "location": "Semantic map centrally located, displaying major coronary arteries;", + "size": "Semantic map spans most of the image, varied line thickness approximating vessel diameter;", + "trend_shape": "Vessel representation tapers, bifurcates, and curves throughout, imitating natural coronary anatomy." + }, + { + "image": "DCA1/test/annotations/58gt.png", + "caption": "Coronary artery structure GT map from X-ray angiography; DCA1 dataset; Semantic map centers, spans most of image vertically; Thick semantic map spanning top-left to bottom-right of image; Map displays complex vascular structure with curved primary branches, secondary bifurcations, and tapered terminals, indicative of arterial branches and potential stenosis/occlusion;", + "overview": "Coronary artery structure GT map from X-ray angiography.", + "dataset": "DCA1 dataset", + "location": "Semantic map centers, spans most of image vertically.", + "size": "Thick semantic map spanning top-left to bottom-right of image.", + "trend_shape": "Map displays complex vascular structure with curved primary branches, secondary bifurcations, and tapered terminals, indicative of arterial branches and potential stenosis/occlusion." + }, + { + "image": "DCA1/test/annotations/60gt.png", + "caption": "X-ray coronary angiography ground truth semantic map; DCA1 dataset; Centralized, upper-lower halves, left-biased; Panoramic; Semantic map indicates intricate branching typical of coronary arteries;", + "overview": "X-ray coronary angiography ground truth semantic map", + "dataset": "DCA1 dataset", + "location": "Centralized, upper-lower halves, left-biased.", + "size": "Panoramic.", + "trend_shape": "Semantic map indicates intricate branching typical of coronary arteries." + }, + { + "image": "DCA1/test/annotations/62gt.png", + "caption": "Groundtruth semantic map of X-ray coronary angiography; DCA1 dataset; The semantic map is centrally located within the image boundaries; The semantic map is of moderate size, not extending to the image edges; The map showcases a branching pattern with linear and curved segments, resembling coronary artery structures;", + "overview": "Groundtruth semantic map of X-ray coronary angiography;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centrally located within the image boundaries;", + "size": "The semantic map is of moderate size, not extending to the image edges;", + "trend_shape": "The map showcases a branching pattern with linear and curved segments, resembling coronary artery structures." + }, + { + "image": "DCA1/test/annotations/64gt.png", + "caption": "Coronary artery semantic map from angiography; DCA1 dataset; Map centered in frame; Semantic map covers image area, extending top left to bottom right, thickness varies; Map exhibits complex vascular structure with curvilinear primary branches, secondary bifurcations, and tapered terminal segments, potentially indicating arterial branches and stenosis/occlusion;", + "overview": "Coronary artery semantic map from angiography", + "dataset": "DCA1 dataset", + "location": "Map centered in frame.", + "size": "Semantic map covers image area, extending top left to bottom right, thickness varies.", + "trend_shape": "Map exhibits complex vascular structure with curvilinear primary branches, secondary bifurcations, and tapered terminal segments, potentially indicating arterial branches and stenosis/occlusion." + }, + { + "image": "DCA1/test/annotations/68gt.png", + "caption": "X-ray coronary angiography ground truth map; DCA1 dataset; Semantic map centers image with clear foreground/background boundaries; Semantic map spans image with variable line thickness indicating vessel diameters; Coronary artery tree map shows trunk, branches, smooth curves, and acute angles;", + "overview": "X-ray coronary angiography ground truth map.", + "dataset": "DCA1 dataset", + "location": "Semantic map centers image with clear foreground/background boundaries.", + "size": "Semantic map spans image with variable line thickness indicating vessel diameters.", + "trend_shape": "Coronary artery tree map shows trunk, branches, smooth curves, and acute angles." + }, + { + "image": "DCA1/test/annotations/6gt.png", + "caption": "Coronary artery network semantic map (GT) from X-ray angiography; DCA1 dataset; Semantic map dominates image space; Medium semantic map with wide and narrow branches; Semantic map exhibits central linear path with branching segments, forming complex vascular pattern;", + "overview": "Coronary artery network semantic map (GT) from X-ray angiography.", + "dataset": "DCA1 dataset", + "location": "Semantic map dominates image space.", + "size": "Medium semantic map with wide and narrow branches.", + "trend_shape": "Semantic map exhibits central linear path with branching segments, forming complex vascular pattern." + }, + { + "image": "DCA1/test/annotations/70gt.png", + "caption": "GT of an X-ray coronary angiogram; DCA1 dataset; Centered, filling most of the image; Size is large with map lines near edges; Map lines trend complexly, resembling arterial branching;", + "overview": "GT of an X-ray coronary angiogram", + "dataset": "DCA1 dataset", + "location": "Centered, filling most of the image.", + "size": "Size is large with map lines near edges.", + "trend_shape": "Map lines trend complexly, resembling arterial branching." + }, + { + "image": "DCA1/test/annotations/72gt.png", + "caption": "Coronary artery semantic map from angiography; DCA1 dataset; Semantic map is centered, nearly full image height; Elongated, thin map with varying thickness; Curvilinear trend with bends, depicting coronary artery's natural course with bifurcation;", + "overview": "Coronary artery semantic map from angiography", + "dataset": "DCA1 dataset", + "location": "Semantic map is centered, nearly full image height.", + "size": "Elongated, thin map with varying thickness.", + "trend_shape": "Curvilinear trend with bends, depicting coronary artery's natural course with bifurcation." + }, + { + "image": "DCA1/test/annotations/76gt.png", + "caption": "GT coronary artery map from X-ray angiography; DCA1 dataset; Semantic map centered within image boundaries; Map spans nearly entire image with narrow margins, indicating wide coverage; Curvilinear coronary arteries form a complex network with smooth contours and varying widths;", + "overview": "GT coronary artery map from X-ray angiography.", + "dataset": "DCA1 dataset", + "location": "Semantic map centered within image boundaries.", + "size": "Map spans nearly entire image with narrow margins, indicating wide coverage.", + "trend_shape": "Curvilinear coronary arteries form a complex network with smooth contours and varying widths." + }, + { + "image": "XCAD/training/images/00158_49.png", + "caption": "Grayscale image of blood vessel structure; XCAD dataset; Coronary angiography mostly in center-upper left quadrant; Coronary angiography shows normal anatomical proportions, with small main vessel diameter; Serpentine coronary angiography shows elongated curves with bifurcations;", + "overview": "Grayscale image of blood vessel structure.", + "dataset": "XCAD dataset", + "location": "Coronary angiography mostly in center-upper left quadrant.", + "size": "Coronary angiography shows normal anatomical proportions, with small main vessel diameter.", + "trend_shape": "Serpentine coronary angiography shows elongated curves with bifurcations.", + "background": "Uniform backdrop contrasts angiography due to lack of features." + }, + { + "image": "XCAD/training/images/00214_29.png", + "caption": "Monochromatic X-ray of intricate vascular structures; XCAD dataset; Coronary angiography centralized, biased towards upper right; Significant length, small diameter main coronary artery visualized; Coronary angiography trend shows complex branching pattern with smooth lines and bifurcations leading to thinner vessels;", + "overview": "Monochromatic X-ray of intricate vascular structures.", + "dataset": "XCAD dataset", + "location": "Coronary angiography centralized, biased towards upper right.", + "size": "Significant length, small diameter main coronary artery visualized.", + "trend_shape": "Coronary angiography trend shows complex branching pattern with smooth lines and bifurcations leading to thinner vessels.", + "background": "Dark background enhances angiography visibility." + }, + { + "image": "XCAD/training/images/00897_52.png", + "caption": "Contrast-filled vessel grayscale angiogram; XCAD dataset; Coronary angiography visible in the central to upper image; Coronary angiography reveals normal coronary arteries; Coronary angiography exhibits an intricate primary artery branching into tortuous, curvilinear secondary and tertiary branches terminating in capillaries;", + "overview": "Contrast-filled vessel grayscale angiogram.", + "dataset": "XCAD dataset", + "location": "Coronary angiography visible in the central to upper image.", + "size": "Coronary angiography reveals normal coronary arteries.", + "trend_shape": "Coronary angiography exhibits an intricate primary artery branching into tortuous, curvilinear secondary and tertiary branches terminating in capillaries.", + "background": "Dark background highlights vascular structures." + }, + { + "image": "XCAD/training/images/01251_32.png", + "caption": "Monochromatic coronary artery X-ray; XCAD dataset; Coronary angiography visible centrally, extending superolateral and inferiorly; Vessel diameters varied, tapering from major to finer distal branches; Tortuous sigmoidal artery with branching patterns;", + "overview": "Monochromatic coronary artery X-ray.", + "dataset": "XCAD dataset", + "location": "Coronary angiography visible centrally, extending superolateral and inferiorly.", + "size": "Vessel diameters varied, tapering from major to finer distal branches.", + "trend_shape": "Tortuous sigmoidal artery with branching patterns.", + "background": "Uniformly dark background with soft shadows and minimal artifacts." + }, + { + "image": "XCAD/training/images/02429_20.png", + "caption": "High-contrast angiogram with vascular branching; XCAD dataset; Central coronary angiography extends to upper right image section; Coronary angiography shows a primary vessel of significant length with typical human coronary artery branching; Angiography shows a complex vascular network of a curving primary artery with varying branch curvatures resembling a tree-like structure;", + "overview": "High-contrast angiogram with vascular branching.", + "dataset": "XCAD dataset", + "location": "Central coronary angiography extends to upper right image section.", + "size": "Coronary angiography shows a primary vessel of significant length with typical human coronary artery branching.", + "trend_shape": "Angiography shows a complex vascular network of a curving primary artery with varying branch curvatures resembling a tree-like structure.", + "background": "Dark background contrasts vascular details." + }, + { + "image": "XCAD/training/images/03268_26.png", + "caption": "Monochrome X-ray image of cardiovascular structures; XCAD dataset; Coronary angiography centered, visible upper half; Coronary arteries range from 1 to 4 mm in diameter in the angiography; Tortuous arterial branching with normal contrast flow suggests patent coronary arteries;", + "overview": "Monochrome X-ray image of cardiovascular structures.", + "dataset": "XCAD dataset", + "location": "Coronary angiography centered, visible upper half.", + "size": "Coronary arteries range from 1 to 4 mm in diameter in the angiography.", + "trend_shape": "Tortuous arterial branching with normal contrast flow suggests patent coronary arteries.", + "background": "Chest cavity with skeletal outlines is faintly visible." + }, + { + "image": "XCAD/training/images/05698_52.png", + "caption": "X-ray of a heart's arteries; XCAD dataset; Coronary angiography dominates the image; Coronary angiography shows vessels of varying sizes, main artery larger, branches tapering; Arteries form a complex, curved coronary tree with bifurcations and tapering branches;", + "overview": "X-ray of a heart's arteries.", + "dataset": "XCAD dataset", + "location": "Coronary angiography dominates the image.", + "size": "Coronary angiography shows vessels of varying sizes, main artery larger, branches tapering.", + "trend_shape": "Arteries form a complex, curved coronary tree with bifurcations and tapering branches.", + "background": "Uniformly dark background with subtle grays depict surrounding tissues and cardiac silhouette." + }, + { + "image": "XCAD/training/images/09404_24.png", + "caption": "Monochromatic X-ray image of contrast-enhanced coronary arteries; XCAD dataset; Central, middle third, horizontal angiography; Coronary angiography branches vary in size from several millimeters to less than a millimeter; Angiography shows right coronary artery with branches, including PDA and marginals;", + "overview": "Monochromatic X-ray image of contrast-enhanced coronary arteries.", + "dataset": "XCAD dataset", + "location": "Central, middle third, horizontal angiography.", + "size": "Coronary angiography branches vary in size from several millimeters to less than a millimeter.", + "trend_shape": "Angiography shows right coronary artery with branches, including PDA and marginals.", + "background": "Dark uniform background contrasts highlighted vessels." + }, + { + "image": "XCAD/training/images/11710_17.png", + "caption": "Coronary angiogram X-ray image with high contrast; XCAD dataset; Coronary angiography dominates center and left, with catheters likely in right coronary artery; Coronary angiogram reveals varying arterial branch thickness; Coronary arteries exhibit curved, branching patterns with irregular contours;", + "overview": "Coronary angiogram X-ray image with high contrast.", + "dataset": "XCAD dataset", + "location": "Coronary angiography dominates center and left, with catheters likely in right coronary artery.", + "size": "Coronary angiogram reveals varying arterial branch thickness.", + "trend_shape": "Coronary arteries exhibit curved, branching patterns with irregular contours.", + "background": "Homogeneous background with minimal artifacts enhances angiography visibility." + }, + { + "image": "XCAD/training/images/13902_16.png", + "caption": "Monochromatic X-ray angiogram of heart arteries; XCAD dataset; Coronary angiography visible centrally, left; Coronary angiography size varies, with prominent major vessels branching into finer structures; Coronary arteries branch smoothly from aorta, with no occlusions or narrowing;", + "overview": "Monochromatic X-ray angiogram of heart arteries", + "dataset": "XCAD dataset", + "location": "Coronary angiography visible centrally, left.", + "size": "Coronary angiography size varies, with prominent major vessels branching into finer structures.", + "trend_shape": "Coronary arteries branch smoothly from aorta, with no occlusions or narrowing.", + "background": "Uniform, low-contrast background with soft tissue densities." + }, + { + "image": "CHUAC/training/annotations/10gt.png", + "caption": "GT semantic map of an X-ray coronary angiography (CHUAC); CHUAC dataset; Semantic map fills most of image space; Semantic map spans the image with minimal margins; Complex coronary artery network with main trunk and branching vessels tapering towards periphery, exhibiting vertical trend with lateral branches;", + "overview": "GT semantic map of an X-ray coronary angiography (CHUAC).", + "dataset": "CHUAC dataset", + "location": "Semantic map fills most of image space.", + "size": "Semantic map spans the image with minimal margins.", + "trend_shape": "Complex coronary artery network with main trunk and branching vessels tapering towards periphery, exhibiting vertical trend with lateral branches." + }, + { + "image": "CHUAC/training/annotations/9gt.png", + "caption": "Monochromatic semantic map of X-ray coronary angiography for vessel structure ground truth (GT); CHUAC dataset; Map occupies upper image half, extending downward; Medium-sized semantic map with variable line widths depicting vessel calibers; Dendritic vascular pattern with primary curved vessel arching left, branching vessels at various angles;", + "overview": "Monochromatic semantic map of X-ray coronary angiography for vessel structure ground truth (GT).", + "dataset": "CHUAC dataset", + "location": "Map occupies upper image half, extending downward.", + "size": "Medium-sized semantic map with variable line widths depicting vessel calibers.", + "trend_shape": "Dendritic vascular pattern with primary curved vessel arching left, branching vessels at various angles." + }, + { + "image": "CHUAC/test/images/19img.png", + "caption": "Coronary angiogram X-ray; CHUAC dataset; Central angiography shows coronary arteries; Arteries widen, vessels narrow; Arteries show curved pattern, tortuosity, and potential stenosis;", + "overview": "Coronary angiogram X-ray.", + "dataset": "CHUAC dataset", + "location": "Central angiography shows coronary arteries.", + "size": "Arteries widen, vessels narrow.", + "trend_shape": "Arteries show curved pattern, tortuosity, and potential stenosis.", + "background": "Dark background highlights contrasting vessels." + }, + { + "image": "CHUAC/test/annotations/20gt.png", + "caption": "X-ray angiographic coronary semantic map; CHUAC dataset; Solid black background with full coverage; Varies within image, focusing centrally to periphery; Branched vascular patterns, thick to thin, diagonal from top left to bottom right;", + "overview": "X-ray angiographic coronary semantic map", + "dataset": "CHUAC dataset", + "location": "Solid black background with full coverage", + "size": "Varies within image, focusing centrally to periphery.", + "trend_shape": "Branched vascular patterns, thick to thin, diagonal from top left to bottom right." + }, + { + "image": "DCA1/training/images/151img.png", + "caption": "Grayscale angiogram of coronary arteries; DCA1 dataset; Coronary angiography in image center, showing coronary arteries in detail; Coronary arteries vary in size, from larger proximal to smaller distal segments; Arteries exhibit tortuosity with smooth branching, indicating normal flow;", + "overview": "Grayscale angiogram of coronary arteries.", + "dataset": "DCA1 dataset", + "location": "Coronary angiography in image center, showing coronary arteries in detail.", + "size": "Coronary arteries vary in size, from larger proximal to smaller distal segments.", + "trend_shape": "Arteries exhibit tortuosity with smooth branching, indicating normal flow.", + "background": "Uniform grayscale background with low noise and no structures." + }, + { + "image": "DCA1/training/images/95img.png", + "caption": "X-ray of coronary arteries with contrast; DCA1 dataset; Angiography appears centrally, slightly right, oriented vertically; Angiogram reveals large vessel with arching top and branching smaller vessels; Arched vessel with downward branches resembling a natural coronary artery;", + "overview": "X-ray of coronary arteries with contrast.", + "dataset": "DCA1 dataset", + "location": "Angiography appears centrally, slightly right, oriented vertically.", + "size": "Angiogram reveals large vessel with arching top and branching smaller vessels.", + "trend_shape": "Arched vessel with downward branches resembling a natural coronary artery.", + "background": "Monochromatic, artifact-free background." + }, + { + "image": "DCA1/training/annotations/101gt.png", + "caption": "Black-and-white GT image of a coronary artery from X-ray angiography; DCA1 dataset; Centered semantic map occupies most of frame with unobstructed view; Spans image height, varying width due to artery anatomy; Curved map trend, thicker at top (main artery), tapering off (branching, decreasing caliber);", + "overview": "Black-and-white GT image of a coronary artery from X-ray angiography.", + "dataset": "DCA1 dataset", + "location": "Centered semantic map occupies most of frame with unobstructed view.", + "size": "Spans image height, varying width due to artery anatomy.", + "trend_shape": "Curved map trend, thicker at top (main artery), tapering off (branching, decreasing caliber)" + }, + { + "image": "DCA1/training/annotations/105gt.png", + "caption": "Semantic map (GT) of an X-ray coronary angiography; from the DCA1 dataset; occupying the central to left portion of the image background; map extends to most of the image, with varying line thickness; features branching linear structures, indicative of coronary arteries, with a fluctuating trend; main vessel with secondary branches visible;", + "overview": "Semantic map (GT) of an X-ray coronary angiography;", + "dataset": "from the DCA1 dataset;", + "location": "occupying the central to left portion of the image background;", + "size": "map extends to most of the image, with varying line thickness;", + "trend_shape": "features branching linear structures, indicative of coronary arteries, with a fluctuating trend; main vessel with secondary branches visible." + }, + { + "image": "DCA1/training/annotations/109gt.png", + "caption": "Groundtruth semantic map of an X-ray coronary angiography image; DCA1 dataset; Central image area; Medium-sized elongated structure; Curvilinear and branching trend, with varying diameter;", + "overview": "Groundtruth semantic map of an X-ray coronary angiography image;", + "dataset": "DCA1 dataset;", + "location": "Central image area;", + "size": "Medium-sized elongated structure;", + "trend_shape": "Curvilinear and branching trend, with varying diameter." + }, + { + "image": "DCA1/training/annotations/111gt.png", + "caption": "Arterial structure outline for X-ray coronary angiogram (GT); DCA1 dataset; Semantic map centered in image, extending downward and branching bottom right; Semantic map outlines image with varying line weights; Semantic map shows complex vascular network with branching coronary arteries of varying tortuosity, mimicking real vessels;", + "overview": "Arterial structure outline for X-ray coronary angiogram (GT).", + "dataset": "DCA1 dataset", + "location": "Semantic map centered in image, extending downward and branching bottom right.", + "size": "Semantic map outlines image with varying line weights.", + "trend_shape": "Semantic map shows complex vascular network with branching coronary arteries of varying tortuosity, mimicking real vessels." + }, + { + "image": "DCA1/training/annotations/119gt.png", + "caption": "X-ray coronary angiography image showing regions of interest; DCA1 dataset; Semantic map occupies most of central image space; Map extends near image boundaries; Semantic map resembles arterial layout, featuring curved, branching structure and line thickness indicating vessel diameter or intensity;", + "overview": "X-ray coronary angiography image showing regions of interest.", + "dataset": "DCA1 dataset", + "location": "Semantic map occupies most of central image space.", + "size": "Map extends near image boundaries.", + "trend_shape": "Semantic map resembles arterial layout, featuring curved, branching structure and line thickness indicating vessel diameter or intensity." + }, + { + "image": "DCA1/training/annotations/123gt.png", + "caption": "Semantic map of vessel structure in X-ray coronary angiography with ground truth (GT); DCA1 dataset; Central, inclined to the upper left, occupying most of the image; Variable width, widest proximally, tapering distally; Curvilinear serpentine trend;", + "overview": "Semantic map of vessel structure in X-ray coronary angiography with ground truth (GT).", + "dataset": "DCA1 dataset", + "location": "Central, inclined to the upper left, occupying most of the image.", + "size": "Variable width, widest proximally, tapering distally.", + "trend_shape": "Curvilinear serpentine trend." + }, + { + "image": "DCA1/training/annotations/145gt.png", + "caption": "X-ray coronary angiography semantic map (GT); DCA1 dataset; Central black background semantic map dominates image; Map shows intricate network of varying lines, largest diagonally top left to bottom right; Semantic map resembles blood vessel branching with smooth and sharp angles mirroring coronary arteries;", + "overview": "X-ray coronary angiography semantic map (GT)", + "dataset": "DCA1 dataset", + "location": "Central black background semantic map dominates image.", + "size": "Map shows intricate network of varying lines, largest diagonally top left to bottom right.", + "trend_shape": "Semantic map resembles blood vessel branching with smooth and sharp angles mirroring coronary arteries." + }, + { + "image": "DCA1/training/annotations/151gt.png", + "caption": "Coronary artery semantic map (GT) from angiography; DCA1 dataset; Central, dominates the image; Width varies, largest structure ~1/5th image width, smaller branches few pixels wide; Branching vascular pattern with proximal-distal tapering;", + "overview": "Coronary artery semantic map (GT) from angiography", + "dataset": "DCA1 dataset", + "location": "Central, dominates the image", + "size": "Width varies, largest structure ~1/5th image width, smaller branches few pixels wide.", + "trend_shape": "Branching vascular pattern with proximal-distal tapering." + }, + { + "image": "DCA1/training/annotations/153gt.png", + "caption": "X-ray annotated coronary artery semantic map (GT); DCA1 dataset; Central semantic map with clear margins; Semantic map varies in size due to artery diameter, but extends to nearly the full image; Arteries in the map trend top left to bottom right, branching at acute and obtuse angles. The main artery tapers distally; smaller side branches show increased curvature and line delicacy;", + "overview": "X-ray annotated coronary artery semantic map (GT).", + "dataset": "DCA1 dataset", + "location": "Central semantic map with clear margins.", + "size": "Semantic map varies in size due to artery diameter, but extends to nearly the full image.", + "trend_shape": "Arteries in the map trend top left to bottom right, branching at acute and obtuse angles. The main artery tapers distally; smaller side branches show increased curvature and line delicacy." + }, + { + "image": "DCA1/training/annotations/171gt.png", + "caption": "GT coronary artery map from X-ray angiography; DCA1 dataset; Semantic map on black background; Map fills most of image; Semantic map replicates coronary artery anatomy with variable vessel dimensions and curves;", + "overview": "GT coronary artery map from X-ray angiography", + "dataset": "DCA1 dataset", + "location": "Semantic map on black background.", + "size": "Map fills most of image.", + "trend_shape": "Semantic map replicates coronary artery anatomy with variable vessel dimensions and curves." + }, + { + "image": "CHUAC/test/images/20img.png", + "caption": "Arterial heart X-ray; CHUAC dataset; Coronary angiography visible in image center left, branching from upper left; Angiography shows arteries of various sizes, with the main one quarter image width, tapering into smaller branches; Arteries curve smoothly with fractal-like branches;", + "overview": "Arterial heart X-ray.", + "dataset": "CHUAC dataset", + "location": "Coronary angiography visible in image center left, branching from upper left.", + "size": "Angiography shows arteries of various sizes, with the main one quarter image width, tapering into smaller branches.", + "trend_shape": "Arteries curve smoothly with fractal-like branches.", + "background": "Gray, translucent background." + }, + { + "image": "DCA1/training/annotations/0gt.png", + "caption": "White-line schematic of coronary arteries on black, acting as a GT interpretation of X-ray angiography; DCA1 dataset; Semantic map centrally dominates image, with no boundaries; High-contrast semantic map with varying white lines on black background; Semantic map resembles coronary artery pattern: major vessels branch out into smaller ones, forming smooth curves and sharp turns;", + "overview": "White-line schematic of coronary arteries on black, acting as a GT interpretation of X-ray angiography.", + "dataset": "DCA1 dataset", + "location": "Semantic map centrally dominates image, with no boundaries.", + "size": "High-contrast semantic map with varying white lines on black background.", + "trend_shape": "Semantic map resembles coronary artery pattern: major vessels branch out into smaller ones, forming smooth curves and sharp turns." + }, + { + "image": "DCA1/training/annotations/114gt.png", + "caption": "Monochromatic semantic X-ray coronary angiography map; DCA1 dataset; Semantic map fills most of the image; Large semantic map curves from top left to bottom right, with branches; Curvilinear structure of coronary arterial tree tapers from wider proximal to narrower distal segment, with branches;", + "overview": "Monochromatic semantic X-ray coronary angiography map.", + "dataset": "DCA1 dataset", + "location": "Semantic map fills most of the image.", + "size": "Large semantic map curves from top left to bottom right, with branches.", + "trend_shape": "Curvilinear structure of coronary arterial tree tapers from wider proximal to narrower distal segment, with branches." + }, + { + "image": "DCA1/training/annotations/121gt.png", + "caption": "Coronary angiography X-ray map; DCA1 dataset; Occupying center-bottom right; Variable-thickness semantic map resembles arterial structures; Sinuous trend with acute/obtuse bends, serpentine pattern, corkscrew segment, compact waveforms, and straight lineation towards bottom right;", + "overview": "Coronary angiography X-ray map", + "dataset": "DCA1 dataset", + "location": "Occupying center-bottom right.", + "size": "Variable-thickness semantic map resembles arterial structures.", + "trend_shape": "Sinuous trend with acute/obtuse bends, serpentine pattern, corkscrew segment, compact waveforms, and straight lineation towards bottom right." + }, + { + "image": "DCA1/training/annotations/129gt.png", + "caption": "GT semantic map of a coronary artery from X-ray angiography; DCA1 dataset; Central black-background semantic map; Semantic map size matches image resolution; Semantic map pattern resembles coronary arterial anatomy with bifurcations and curved segments forming an interconnected network;", + "overview": "GT semantic map of a coronary artery from X-ray angiography.", + "dataset": "DCA1 dataset", + "location": "Central black-background semantic map.", + "size": "Semantic map size matches image resolution.", + "trend_shape": "Semantic map pattern resembles coronary arterial anatomy with bifurcations and curved segments forming an interconnected network." + }, + { + "image": "DCA1/training/annotations/183gt.png", + "caption": "Xa-angiography semantic map of coronary arteries; DCA1 dataset; Centrally located, the semantic map fills nearly the entire frame with clear space around the edges; Semantic map resembles arteries in thickness, with varying density and definition; Intricate semantic map mimics coronary vessel branching with curvilinear and fractal patterns;", + "overview": "Xa-angiography semantic map of coronary arteries.", + "dataset": "DCA1 dataset", + "location": "Centrally located, the semantic map fills nearly the entire frame with clear space around the edges.", + "size": "Semantic map resembles arteries in thickness, with varying density and definition.", + "trend_shape": "Intricate semantic map mimics coronary vessel branching with curvilinear and fractal patterns." + }, + { + "image": "DCA1/training/annotations/227gt.png", + "caption": "Semantic map of vascular structures as ground truth representation; DCA1 dataset; Central in the image on a uniform black background; Variable width, but maintaining a high contrast with the background; Curvilinear, undulating with bifurcations and tapering ends;", + "overview": "Semantic map of vascular structures as ground truth representation;", + "dataset": "DCA1 dataset;", + "location": "Central in the image on a uniform black background;", + "size": "Variable width, but maintaining a high contrast with the background;", + "trend_shape": "Curvilinear, undulating with bifurcations and tapering ends." + }, + { + "image": "DCA1/training/annotations/143gt.png", + "caption": "High-contrast, white-on-black GT map of curvilinear vascular structure resembling coronary arteries; DCA1 dataset; Central semantic map aids feature observation; Semantic map shows curvilinear arterial branches of varying thickness; Semantic map's tree-like pattern mimics coronary angiography's arterial branching;", + "overview": "High-contrast, white-on-black GT map of curvilinear vascular structure resembling coronary arteries", + "dataset": "DCA1 dataset", + "location": "Central semantic map aids feature observation.", + "size": "Semantic map shows curvilinear arterial branches of varying thickness.", + "trend_shape": "Semantic map's tree-like pattern mimics coronary angiography's arterial branching." + }, + { + "image": "DCA1/training/annotations/193gt.png", + "caption": "Black background with detailed white curvilinear network (semantic map/GT of vascular structures); DCA1 dataset; Semantic map centered in image, extending left and below; Semantic map dominates image space with varied line thickness indicating vessel size; The semantic map shows a branching pattern like arteries, with curved paths and varying branching angles;", + "overview": "Black background with detailed white curvilinear network (semantic map/GT of vascular structures).", + "dataset": "DCA1 dataset", + "location": "Semantic map centered in image, extending left and below.", + "size": "Semantic map dominates image space with varied line thickness indicating vessel size.", + "trend_shape": "The semantic map shows a branching pattern like arteries, with curved paths and varying branching angles." + }, + { + "image": "DCA1/training/annotations/203gt.png", + "caption": "Ground truth coronary artery semantic map; DCA1 dataset; Semantic map occupies central-upper portion with negative space surrounds; Semantic map: Network of thick and thin lines spanning most of the image; Map exhibits curvilinear arterial shapes branching like a tree, with a thick curved vessel dominating the center;", + "overview": "Ground truth coronary artery semantic map", + "dataset": "DCA1 dataset", + "location": "Semantic map occupies central-upper portion with negative space surrounds.", + "size": "Semantic map: Network of thick and thin lines spanning most of the image.", + "trend_shape": "Map exhibits curvilinear arterial shapes branching like a tree, with a thick curved vessel dominating the center." + }, + { + "image": "DCA1/training/annotations/215gt.png", + "caption": "Arterial segmentation GT from coronary angiography; DCA1 dataset; Semantic map positioned prominently from top-left, curving to bottom-right; Semantic map: Narrow start expanding into wider curves; Serpentine trend with complex curvilinear shapes: arching curve, upper left loop, sinuous extensions (branching arteries);", + "overview": "Arterial segmentation GT from coronary angiography.", + "dataset": "DCA1 dataset", + "location": "Semantic map positioned prominently from top-left, curving to bottom-right.", + "size": "Semantic map: Narrow start expanding into wider curves.", + "trend_shape": "Serpentine trend with complex curvilinear shapes: arching curve, upper left loop, sinuous extensions (branching arteries)." + }, + { + "image": "DCA1/training/annotations/221gt.png", + "caption": "Black and white GT semantic map shows curvilinear structures like blood vessels; DCA1 dataset; [Key details preserved sentence]; Central semantic map dominates image with distinct boundaries; Wide semantic map spans entire image canvas;", + "overview": "Black and white GT semantic map shows curvilinear structures like blood vessels.", + "dataset": "DCA1 dataset", + "location": "[Key details preserved sentence]", + "size": "Central semantic map dominates image with distinct boundaries.", + "trend_shape": "Wide semantic map spans entire image canvas.", + "background": "Vertical semantic map with branching and complex arborescent pattern." + }, + { + "image": "DCA1/training/annotations/237gt.png", + "caption": "High-contrast semantic map highlights arterial pathways as GT for X-ray coronary angiographic imaging; DCA1 dataset; Semantic map: central, structures depicted throughout image; Structures vary in size, accommodating arterial variance; Network of curvilinear shapes resembles coronary arteries;", + "overview": "High-contrast semantic map highlights arterial pathways as GT for X-ray coronary angiographic imaging.", + "dataset": "DCA1 dataset", + "location": "Semantic map: central, structures depicted throughout image.", + "size": "Structures vary in size, accommodating arterial variance.", + "trend_shape": "Network of curvilinear shapes resembles coronary arteries." + }, + { + "image": "DCA1/training/annotations/246gt.png", + "caption": "GT map of coronary arteries from X-ray coronary angiography; DCA1 dataset; Semantic map centered within image, spanning entire field; Curvilinear objects of varying sizes and thicknesses fill much of the image space; Semantic map displays curved lines, sharp branches, and diverse shapes from elongated to complex;", + "overview": "GT map of coronary arteries from X-ray coronary angiography.", + "dataset": "DCA1 dataset", + "location": "Semantic map centered within image, spanning entire field.", + "size": "Curvilinear objects of varying sizes and thicknesses fill much of the image space.", + "trend_shape": "Semantic map displays curved lines, sharp branches, and diverse shapes from elongated to complex." + }, + { + "image": "DCA1/training/annotations/251gt.png", + "caption": "GT map of X-ray coronary angiography; DCA1 dataset; Central curvilinear structures extend from top left to bottom, radiating outward; Curvilinear structures of varying thickness; Sinuous primary structure with central \"Y\" shape and smooth, curved secondary structures;", + "overview": "GT map of X-ray coronary angiography.", + "dataset": "DCA1 dataset", + "location": "Central curvilinear structures extend from top left to bottom, radiating outward.", + "size": "Curvilinear structures of varying thickness.", + "trend_shape": "Sinuous primary structure with central \"Y\" shape and smooth, curved secondary structures." + }, + { + "image": "DCA1/training/annotations/263gt.png", + "caption": "Monochrome semantic map of vascular structure from X-ray coronary angiography (GT); DCA1 dataset; Central semantic map dominates image; Semantic map size varies; main vessel broad, progressively finer with branching, reflecting diminishing coronary artery calibers; Curvilinear and sinuous semantic map descends from a single vessel, bifurcating and tapering like coronary arteries;", + "overview": "Monochrome semantic map of vascular structure from X-ray coronary angiography (GT).", + "dataset": "DCA1 dataset", + "location": "Central semantic map dominates image.", + "size": "Semantic map size varies; main vessel broad, progressively finer with branching, reflecting diminishing coronary artery calibers.", + "trend_shape": "Curvilinear and sinuous semantic map descends from a single vessel, bifurcating and tapering like coronary arteries." + }, + { + "image": "DCA1/training/annotations/45gt.png", + "caption": "BW semantic map (GT) of artery branching in coronary angiography; DCA1 dataset; Sure, I can do that. Please provide the sentence you'd like me to shorten; Central semantic map covers most of image; Complex semantic map, medium to large size, varied curvilinear lines;", + "overview": "BW semantic map (GT) of artery branching in coronary angiography.", + "dataset": "DCA1 dataset", + "location": "Sure, I can do that. Please provide the sentence you'd like me to shorten.", + "size": "Central semantic map covers most of image.", + "trend_shape": "Complex semantic map, medium to large size, varied curvilinear lines.", + "background": "Vertical semantic map with curvilinear branches forms connected network of arterial paths with bifurcations and overlap." + }, + { + "image": "DCA1/training/annotations/83gt.png", + "caption": "BW semantic map of X-ray coronary angiography GT; DCA1 dataset; Centered semantic map dominates image frame, with branches extending outward; Semantic map exhibits varying line thickness, forming a network; Sinuous semantic map with curving arterial paths, bifurcating branches, and loops, reflecting coronary artery variability;", + "overview": "BW semantic map of X-ray coronary angiography GT", + "dataset": "DCA1 dataset", + "location": "Centered semantic map dominates image frame, with branches extending outward.", + "size": "Semantic map exhibits varying line thickness, forming a network.", + "trend_shape": "Sinuous semantic map with curving arterial paths, bifurcating branches, and loops, reflecting coronary artery variability." + }, + { + "image": "DCA1/training/annotations/97gt.png", + "caption": "Curvilinear GT of X-ray coronary angiogram; DCA1 dataset; Central semantic map dominates the view; Semantic map large relative to image, dominating space; Semantic map displays branching vessels tapering bottom-right, indicating a tree-like structure;", + "overview": "Curvilinear GT of X-ray coronary angiogram.", + "dataset": "DCA1 dataset", + "location": "Central semantic map dominates the view.", + "size": "Semantic map large relative to image, dominating space.", + "trend_shape": "Semantic map displays branching vessels tapering bottom-right, indicating a tree-like structure." + }, + { + "image": "DCA1/test/annotations/12gt.png", + "caption": "Coronary artery semantic map from X-ray angiography; DCA1 dataset; Centrally located semantic map occupies most of the image, skewed left; Semantic map covers two-thirds of image area, with varying width spanning most of the image's height; Semantic map exhibits curvilinear structure with sinuous branches resembling vascular patterns;", + "overview": "Coronary artery semantic map from X-ray angiography.", + "dataset": "DCA1 dataset", + "location": "Centrally located semantic map occupies most of the image, skewed left.", + "size": "Semantic map covers two-thirds of image area, with varying width spanning most of the image's height.", + "trend_shape": "Semantic map exhibits curvilinear structure with sinuous branches resembling vascular patterns." + }, + { + "image": "DCA1/test/annotations/14gt.png", + "caption": "Curvilinear, B/W semantic map resembling blood vessels; DCA1 dataset; Central vertical semantic map; Semantic map varies in width, spanning most of image vertically; Semantic map exhibits a vertical trend with curvilinear branches, resembling coronary arteries;", + "overview": "Curvilinear, B/W semantic map resembling blood vessels.", + "dataset": "DCA1 dataset", + "location": "Central vertical semantic map.", + "size": "Semantic map varies in width, spanning most of image vertically.", + "trend_shape": "Semantic map exhibits a vertical trend with curvilinear branches, resembling coronary arteries.", + "background": "Abbreviated sentence: Key details preserved." + }, + { + "image": "DCA1/test/annotations/24gt.png", + "caption": "High-contrast semantic GT map of vascular structures; DCA1 dataset; Central semantic map on dark background, clear boundaries; Semantic map spans entire image, providing sufficient resolution for individual structure discernment; Curvilinear map mimics arterial tree with branching patterns;", + "overview": "High-contrast semantic GT map of vascular structures", + "dataset": "DCA1 dataset", + "location": "Central semantic map on dark background, clear boundaries.", + "size": "Semantic map spans entire image, providing sufficient resolution for individual structure discernment.", + "trend_shape": "Curvilinear map mimics arterial tree with branching patterns.", + "background": "Optimal Abbreviated Sentence:" + }, + { + "image": "DCA1/test/annotations/26gt.png", + "caption": "GT vascular feature overlay for X-ray angiography; DCA1 dataset; Central semantic map fills most of the frame with edge spacing; Large semantic map fills available space, nearly reaching image borders; Curvilinear structures sinuously depict coronary artery pathways, branching in a complex pattern like arteries;", + "overview": "GT vascular feature overlay for X-ray angiography.", + "dataset": "DCA1 dataset", + "location": "Central semantic map fills most of the frame with edge spacing.", + "size": "Large semantic map fills available space, nearly reaching image borders.", + "trend_shape": "Curvilinear structures sinuously depict coronary artery pathways, branching in a complex pattern like arteries.", + "background": "Optimal abbreviated sentence:\n\nKey details preserved." + }, + { + "image": "DCA1/test/annotations/34gt.png", + "caption": "GT image for model training: curvilinear structures highlight coronary arteries in black-and-white semantic map; DCA1 dataset; Semantic map centered, main structures skewed top-right; Semantic map is large compared to the image canvas, with curvilinear branches varying in length across most of the image; Semantic map predominantly vertical, with diagonal inclination, featuring tree-like curvilinear shapes tapering and branching, representing vascular network with varying curvature and bifurcation angles;", + "overview": "GT image for model training: curvilinear structures highlight coronary arteries in black-and-white semantic map.", + "dataset": "DCA1 dataset", + "location": "Semantic map centered, main structures skewed top-right.", + "size": "Semantic map is large compared to the image canvas, with curvilinear branches varying in length across most of the image.", + "trend_shape": "Semantic map predominantly vertical, with diagonal inclination, featuring tree-like curvilinear shapes tapering and branching, representing vascular network with varying curvature and bifurcation angles." + }, + { + "image": "DCA1/test/annotations/38gt.png", + "caption": "Monochromatic semantic GT map of curvilinear structures; DCA1 dataset; Central structures dominate the image; Map exhibits irregular size and varying curvilinear structure widths; It resembles vascular pathways with its branching, snaking pattern;", + "overview": "Monochromatic semantic GT map of curvilinear structures.", + "dataset": "DCA1 dataset", + "location": "Central structures dominate the image.", + "size": "Map exhibits irregular size and varying curvilinear structure widths.", + "trend_shape": "It resembles vascular pathways with its branching, snaking pattern.", + "background": "Abbreviated sentence:\nKey details preserved" + }, + { + "image": "DCA1/test/annotations/40gt.png", + "caption": "Semantic map (GT) shows blood vessel-like curvilinear structures as white lines on black background; DCA1 dataset; Central semantic map dominates image; Semantic map size varies, with a prominent central white line with smaller branches; Semantic map exhibits vertical trend with branching patterns resembling coronary artery anatomy;", + "overview": "Semantic map (GT) shows blood vessel-like curvilinear structures as white lines on black background.", + "dataset": "DCA1 dataset", + "location": "Central semantic map dominates image.", + "size": "Semantic map size varies, with a prominent central white line with smaller branches.", + "trend_shape": "Semantic map exhibits vertical trend with branching patterns resembling coronary artery anatomy.", + "background": "Abbreviated Sentence:\nKey details preserved." + }, + { + "image": "DCA1/test/annotations/42gt.png", + "caption": "GT semantic map of curvilinear vascular-like structures; DCA1 dataset; Centered, dominating the canvas; Full image width/height, variable line thickness; Branched, curved shapes from central point, varying size and curvature, no crossings, tapered ends;", + "overview": "GT semantic map of curvilinear vascular-like structures", + "dataset": "DCA1 dataset", + "location": "Centered, dominating the canvas", + "size": "Full image width/height, variable line thickness", + "trend_shape": "Branched, curved shapes from central point, varying size and curvature, no crossings, tapered ends.", + "background": "Shortened sentence: \"Key details preserved in abbreviated form.\"" + }, + { + "image": "DCA1/test/annotations/4gt.png", + "caption": "Monochromatic semantic GT map of X-ray coronary angiography image; DCA1 dataset; Black-backed semantic map dominates image space; Large semantic map with curvilinear elements of varying thickness; Semantic map displays multiple undulating curves resembling vascular structures, including a main sinuous structure with branching segments;", + "overview": "Monochromatic semantic GT map of X-ray coronary angiography image.", + "dataset": "DCA1 dataset", + "location": "Black-backed semantic map dominates image space.", + "size": "Large semantic map with curvilinear elements of varying thickness.", + "trend_shape": "Semantic map displays multiple undulating curves resembling vascular structures, including a main sinuous structure with branching segments.", + "background": "Optimal shortened sentence:" + }, + { + "image": "DCA1/test/annotations/52gt.png", + "caption": "High-contrast, black-and-white semantic map of coronary arteries; DCA1 dataset; Central semantic map with clear margins; Semantic map exceeds image frame, with curvilinear forms highlighting structures of interest; Semantic map's branching pattern resembles arterial tree's curvilinear structures, exhibiting smooth curves, loops, and bifurcations;", + "overview": "High-contrast, black-and-white semantic map of coronary arteries.", + "dataset": "DCA1 dataset", + "location": "Central semantic map with clear margins.", + "size": "Semantic map exceeds image frame, with curvilinear forms highlighting structures of interest.", + "trend_shape": "Semantic map's branching pattern resembles arterial tree's curvilinear structures, exhibiting smooth curves, loops, and bifurcations." + }, + { + "image": "DCA1/test/annotations/74gt.png", + "caption": "X-ray coronary angiography semantic map (white lines on black background) serves as ground truth for model training; DCA1 dataset; Central image map dominates space; Curvilinear semantic map structures vary in size and extend from upper left to lower central regions; Curvilinear semantic map depicts complex arterial network with bifurcations and curvatures;", + "overview": "X-ray coronary angiography semantic map (white lines on black background) serves as ground truth for model training.", + "dataset": "DCA1 dataset", + "location": "Central image map dominates space.", + "size": "Curvilinear semantic map structures vary in size and extend from upper left to lower central regions.", + "trend_shape": "Curvilinear semantic map depicts complex arterial network with bifurcations and curvatures." + }, + { + "image": "DCA1/test/annotations/8gt.png", + "caption": "High-contrast, black and white semantic map of coronary arteries from X-ray angiography; DCA1 dataset; Centralized semantic map dominates black background; Semantic map features vary, with curvilinear object widths indicating vessel diameters; Tree-like semantic map branches with varying curvatures and lengths descend vertically;", + "overview": "High-contrast, black and white semantic map of coronary arteries from X-ray angiography.", + "dataset": "DCA1 dataset", + "location": "Centralized semantic map dominates black background.", + "size": "Semantic map features vary, with curvilinear object widths indicating vessel diameters.", + "trend_shape": "Tree-like semantic map branches with varying curvatures and lengths descend vertically.", + "background": "Abbreviated sentence:\nKey details preserved" + }, + { + "image": "XCAD/training/images/00018_33.png", + "caption": "High-contrast angiography image with visible curvilinear structures; XCAD dataset; Coronary angiography is central, mid-lower and slight right skew; Angiography shows vessels of varying sizes, some as narrow as one-tenth the image's width; Sinuous vessels transition smoothly from thick to thin;", + "overview": "High-contrast angiography image with visible curvilinear structures.", + "dataset": "XCAD dataset", + "location": "Coronary angiography is central, mid-lower and slight right skew.", + "size": "Angiography shows vessels of varying sizes, some as narrow as one-tenth the image's width.", + "trend_shape": "Sinuous vessels transition smoothly from thick to thin.", + "background": "Uniformly dark background enhances angiography visibility." + }, + { + "image": "XCAD/training/images/00026_38.png", + "caption": "High-contrast X-ray image of internal structures; XCAD dataset; Central, left-leaning, vertical; Varies from thin branches to wider tubes; Curvilinear and branching with looping segments;", + "overview": "High-contrast X-ray image of internal structures.", + "dataset": "XCAD dataset", + "location": "Central, left-leaning, vertical.", + "size": "Varies from thin branches to wider tubes.", + "trend_shape": "Curvilinear and branching with looping segments.", + "background": "Uniform grey background with anatomical outlines." + }, + { + "image": "XCAD/training/images/00087_33.png", + "caption": "Monochrome X-ray of coronary arteries with contrast; XCAD dataset; Central coronary angiography with multiple branching vessels; Coronary angiography shows varying vessel sizes, with main arteries prominent and branches tapering; Coronary vessels are sinuous and branching, ranging from broad main arteries to complex, smaller branches with multiple curves and bifurcations;", + "overview": "Monochrome X-ray of coronary arteries with contrast", + "dataset": "XCAD dataset", + "location": "Central coronary angiography with multiple branching vessels.", + "size": "Coronary angiography shows varying vessel sizes, with main arteries prominent and branches tapering.", + "trend_shape": "Coronary vessels are sinuous and branching, ranging from broad main arteries to complex, smaller branches with multiple curves and bifurcations.", + "background": "Dark background with subtle shade variations." + }, + { + "image": "XCAD/training/images/00303_28.png", + "caption": "Coronary angiogram; XCAD dataset; Coronary angiography central, extending upper-right; Vessel diameters from 2-4 mm in image; Curvilinear vessels with varying diameters and bifurcations;", + "overview": "Coronary angiogram.", + "dataset": "XCAD dataset", + "location": "Coronary angiography central, extending upper-right.", + "size": "Vessel diameters from 2-4 mm in image.", + "trend_shape": "Curvilinear vessels with varying diameters and bifurcations.", + "background": "Gray background with subtle shadows." + }, + { + "image": "XCAD/training/images/00457_59.png", + "caption": "Monochromatic arterial X-ray image with high contrast; XCAD dataset; Coronary angiography is visible predominantly on image's right third, top center to bottom right; Coronary angiography shows variable vessel diameters, with main trunk being larger than secondary branches; Arterial flow exhibits sinuous curves, including a primary S-shape before branching into smaller vessels with serpentine and loop configurations;", + "overview": "Monochromatic arterial X-ray image with high contrast.", + "dataset": "XCAD dataset", + "location": "Coronary angiography is visible predominantly on image's right third, top center to bottom right.", + "size": "Coronary angiography shows variable vessel diameters, with main trunk being larger than secondary branches.", + "trend_shape": "Arterial flow exhibits sinuous curves, including a primary S-shape before branching into smaller vessels with serpentine and loop configurations.", + "background": "Dark background with gradient contrasts arterial structure." + }, + { + "image": "XCAD/training/images/00475_44.png", + "caption": "Coronary angiogram X-ray with high-contrast vessels; XCAD dataset; Dominant center, upper half, extending slightly below; Arteries vary in size, with primary arteries larger and secondary branches finer; Complex branching trend, with smooth main artery and intertwined secondary vessels;", + "overview": "Coronary angiogram X-ray with high-contrast vessels.", + "dataset": "XCAD dataset", + "location": "Dominant center, upper half, extending slightly below.", + "size": "Arteries vary in size, with primary arteries larger and secondary branches finer.", + "trend_shape": "Complex branching trend, with smooth main artery and intertwined secondary vessels.", + "background": "Grey, grainy background with minimal detail." + }, + { + "image": "XCAD/training/images/00570_24.png", + "caption": "X-ray image of contrast-filled structures; XCAD dataset; Coronary angiography prominent; Vessel diameters range from small to medium, with larger branching into smaller ones; Coronary angiography reveals a complex network of curved and branched vessels with variable tortuosity;", + "overview": "X-ray image of contrast-filled structures.", + "dataset": "XCAD dataset", + "location": "Coronary angiography prominent.", + "size": "Vessel diameters range from small to medium, with larger branching into smaller ones.", + "trend_shape": "Coronary angiography reveals a complex network of curved and branched vessels with variable tortuosity.", + "background": "Grey background with no details." + }, + { + "image": "XCAD/training/images/00593_31.png", + "caption": "X-ray image shows network of curvilinear vascular structures; XCAD dataset; Coronary angiography extends towards the bottom right corner; Coronary angiography shows varying vessel sizes, with prominent main artery and tapering secondary branches; Artery follows serpentine trend with diverse branch shapes;", + "overview": "X-ray image shows network of curvilinear vascular structures.", + "dataset": "XCAD dataset", + "location": "Coronary angiography extends towards the bottom right corner.", + "size": "Coronary angiography shows varying vessel sizes, with prominent main artery and tapering secondary branches.", + "trend_shape": "Artery follows serpentine trend with diverse branch shapes.", + "background": "Homogeneous gray background with subtle soft tissue variations." + }, + { + "image": "XCAD/training/images/00595_47.png", + "caption": "Curvilinear structures in contrast-filled X-ray image; XCAD dataset; Coronary angiography central, middle third horizontally and vertically; Coronary angiography outlines vary from thread-like to curvilinear structures, with widths ranging from millimeters to a centimeter; Coronary angiography shows sinuous, smooth vessel curves with branching and looping;", + "overview": "Curvilinear structures in contrast-filled X-ray image.", + "dataset": "XCAD dataset", + "location": "Coronary angiography central, middle third horizontally and vertically.", + "size": "Coronary angiography outlines vary from thread-like to curvilinear structures, with widths ranging from millimeters to a centimeter.", + "trend_shape": "Coronary angiography shows sinuous, smooth vessel curves with branching and looping.", + "background": "Grainy grey texture without distinct features." + }, + { + "image": "XCAD/training/images/00631_35.png", + "caption": "High-contrast monochrome coronary artery X-ray; XCAD dataset; Tree-like branching coronary angiography, centered in middle third of image; Coronary angiography shows a large main artery with variable-caliber branches; Coronary angiography exhibits a top-down flow in a complex serpentine pattern, with branching and tapering towards the periphery;", + "overview": "High-contrast monochrome coronary artery X-ray.", + "dataset": "XCAD dataset", + "location": "Tree-like branching coronary angiography, centered in middle third of image.", + "size": "Coronary angiography shows a large main artery with variable-caliber branches.", + "trend_shape": "Coronary angiography exhibits a top-down flow in a complex serpentine pattern, with branching and tapering towards the periphery.", + "background": "Dark, featureless background." + }, + { + "image": "XCAD/training/images/00653_17.png", + "caption": "Monochromatic X-ray image of high-contrast vascular structures on faint anatomy; XCAD dataset; Coronary angiography prominent in image center, main artery descends from top; Coronary angiography displays varying vessel sizes from central conduits to peripheral branches; Arterial branching pattern exhibits smooth, sinuous shapes and curvatures;", + "overview": "Monochromatic X-ray image of high-contrast vascular structures on faint anatomy.", + "dataset": "XCAD dataset", + "location": "Coronary angiography prominent in image center, main artery descends from top.", + "size": "Coronary angiography displays varying vessel sizes from central conduits to peripheral branches.", + "trend_shape": "Arterial branching pattern exhibits smooth, sinuous shapes and curvatures.", + "background": "Overlaid on a thoracic shadow." + }, + { + "image": "XCAD/training/images/00763_27.png", + "caption": "X-ray image: contrast-filled curvilinear structures on dark background; XCAD dataset; Centrally positioned coronary angiography shows branching pattern from center outward; Coronary artery diameters range from 3-5mm to under 1mm; Tortuous coronary arteries form an arborized pattern with smooth curves and multiple bifurcations;", + "overview": "X-ray image: contrast-filled curvilinear structures on dark background", + "dataset": "XCAD dataset", + "location": "Centrally positioned coronary angiography shows branching pattern from center outward.", + "size": "Coronary artery diameters range from 3-5mm to under 1mm.", + "trend_shape": "Tortuous coronary arteries form an arborized pattern with smooth curves and multiple bifurcations.", + "background": "Homogeneous, dark gray soft tissue density background with subtle textural variations." + }, + { + "image": "XCAD/training/images/00907_43.png", + "caption": "Monochromatic X-ray image with high density contrast; XCAD dataset; Central coronary angiography prominates centrally, radiating outward; Coronary angiography shows vessels of varying sizes, from thin to thick; Angiography reveals intricate, curvilinear vessel network with smooth curves and bifurcations;", + "overview": "Monochromatic X-ray image with high density contrast.", + "dataset": "XCAD dataset", + "location": "Central coronary angiography prominates centrally, radiating outward", + "size": "Coronary angiography shows vessels of varying sizes, from thin to thick.", + "trend_shape": "Angiography reveals intricate, curvilinear vessel network with smooth curves and bifurcations.", + "background": "Uniform dark background highlights vascular structures." + }, + { + "image": "XCAD/training/images/01130_36.png", + "caption": "Coronary angiogram: contrast-filled vessels amidst anatomy; XCAD dataset; Central coronary angiogram reveals arterial network; Coronary angiography shows vessels ranging from <2mm to ~4mm in diameter; Coronary arteries branch and curve, forming intricate curvilinear patterns within the heart;", + "overview": "Coronary angiogram: contrast-filled vessels amidst anatomy.", + "dataset": "XCAD dataset", + "location": "Central coronary angiogram reveals arterial network.", + "size": "Coronary angiography shows vessels ranging from <2mm to ~4mm in diameter.", + "trend_shape": "Coronary arteries branch and curve, forming intricate curvilinear patterns within the heart.", + "background": "Gray background, soft tissues, and cardiac silhouette visible." + }, + { + "image": "XCAD/training/images/01169_25.png", + "caption": "High-contrast curvilinear structures on gray background; XCAD dataset; Central, slightly right-skewed curvilinear structure; Variable caliber, occupying most of image; Sinuous, branching pattern with smooth curves and bifurcations, predominantly vertical;", + "overview": "High-contrast curvilinear structures on gray background.", + "dataset": "XCAD dataset", + "location": "Central, slightly right-skewed curvilinear structure.", + "size": "Variable caliber, occupying most of image.", + "trend_shape": "Sinuous, branching pattern with smooth curves and bifurcations, predominantly vertical.", + "background": "Homogeneous gray tone with textural variations." + }, + { + "image": "XCAD/training/images/01759_32.png", + "caption": "X-ray image shows curvilinear blood vessel network; XCAD dataset; Central coronary angiography in upper image half; Variable-sized vessels, ranging from millimeters to sub-millimeters in diameter; Arteries exhibit branching, tapering, and curving with varying flow patterns and topology;", + "overview": "X-ray image shows curvilinear blood vessel network.", + "dataset": "XCAD dataset", + "location": "Central coronary angiography in upper image half.", + "size": "Variable-sized vessels, ranging from millimeters to sub-millimeters in diameter.", + "trend_shape": "Arteries exhibit branching, tapering, and curving with varying flow patterns and topology.", + "background": "Uniform, featureless grey background." + }, + { + "image": "XCAD/training/images/01965_47.png", + "caption": "Contrast-filled vascular X-ray; XCAD dataset; Coronary angiography is primarily visible centrally, extending upper left; Variable vessel calibers; Tortuous coronary angiography shows intricate arterial branching;", + "overview": "Contrast-filled vascular X-ray", + "dataset": "XCAD dataset", + "location": "Coronary angiography is primarily visible centrally, extending upper left.", + "size": "Variable vessel calibers.", + "trend_shape": "Tortuous coronary angiography shows intricate arterial branching.", + "background": "Uniform background contrasts vascular structures." + }, + { + "image": "XCAD/training/images/02006_34.png", + "caption": "Monochrome X-ray of contrast-enhanced arteries; XCAD dataset; Coronary angiography: heart artery imaging; Coronary angiography shows varying artery thickness; Angiography shows multiple curved vessels in a right-dominant coronary system with natural, sinuous patterns;", + "overview": "Monochrome X-ray of contrast-enhanced arteries", + "dataset": "XCAD dataset", + "location": "Coronary angiography: heart artery imaging.", + "size": "Coronary angiography shows varying artery thickness.", + "trend_shape": "Angiography shows multiple curved vessels in a right-dominant coronary system with natural, sinuous patterns.", + "background": "Dark, featureless background enhances angiography visibility." + }, + { + "image": "XCAD/training/images/02020_31.png", + "caption": "Monochromatic X-ray image with contrast-enhanced coronary arteries; XCAD dataset; Coronary angiogram shows heart's vascular structure; Angiography shows vessels varying in size, with prominent main artery and less pronounced secondary branching; Curvilinear structure with smooth primary artery tracing a gentle curve, branching irregularly;", + "overview": "Monochromatic X-ray image with contrast-enhanced coronary arteries.", + "dataset": "XCAD dataset", + "location": "Coronary angiogram shows heart's vascular structure.", + "size": "Angiography shows vessels varying in size, with prominent main artery and less pronounced secondary branching.", + "trend_shape": "Curvilinear structure with smooth primary artery tracing a gentle curve, branching irregularly.", + "background": "Grayscale field with anatomic structure variations." + }, + { + "image": "XCAD/training/images/02208_30.png", + "caption": "Monochrome X-ray of contrast-enhanced coronary arteries; XCAD dataset; Top-left to bottom-right diagonal in central right half of image; Vessel widths range from 2-4mm; Complex, arborescent structure with smooth-tapered branches and bifurcations;", + "overview": "Monochrome X-ray of contrast-enhanced coronary arteries", + "dataset": "XCAD dataset", + "location": "Top-left to bottom-right diagonal in central right half of image.", + "size": "Vessel widths range from 2-4mm.", + "trend_shape": "Complex, arborescent structure with smooth-tapered branches and bifurcations.", + "background": "Uniform grainy background with soft shadows." + }, + { + "image": "XCAD/training/images/02961_51.png", + "caption": "X-ray cardiovascular imaging with contrast; XCAD dataset; Coronary angiography is central, vertical, and left-offset; Size ranges from fine lines to broader curvilinear structures; Coronary angiography reveals a branching pattern of vessels (2-4 mm) with sinuous paths and varying curvatures;", + "overview": "X-ray cardiovascular imaging with contrast.", + "dataset": "XCAD dataset", + "location": "Coronary angiography is central, vertical, and left-offset.", + "size": "Size ranges from fine lines to broader curvilinear structures.", + "trend_shape": "Coronary angiography reveals a branching pattern of vessels (2-4 mm) with sinuous paths and varying curvatures.", + "background": "Background subtly shaded without distinct details." + }, + { + "image": "XCAD/training/images/03097_27.png", + "caption": "X-ray image of curvilinear structures; XCAD dataset; Coronary angiography with multiple branches from common trunk; Angiography reveals vessels of varying sizes, with the main artery predominant; secondary branches diminish in size; Sinuous vessels bifurcate smoothly to form arborized patterns;", + "overview": "X-ray image of curvilinear structures.", + "dataset": "XCAD dataset", + "location": "Coronary angiography with multiple branches from common trunk.", + "size": "Angiography reveals vessels of varying sizes, with the main artery predominant; secondary branches diminish in size.", + "trend_shape": "Sinuous vessels bifurcate smoothly to form arborized patterns.", + "background": "Dark background with faint tissue shadows." + }, + { + "image": "XCAD/training/images/03099_17.png", + "caption": "Curvilinear structures (blood vessels) on a dark background; XCAD dataset; Angiography central, extending to quadrants; Variable vessel diameter from very fine to moderately thick, with primary vessel measurable in millimeters; Vessel trends left to right, branching into finer, variably shaped segments;", + "overview": "Curvilinear structures (blood vessels) on a dark background.", + "dataset": "XCAD dataset", + "location": "Angiography central, extending to quadrants.", + "size": "Variable vessel diameter from very fine to moderately thick, with primary vessel measurable in millimeters.", + "trend_shape": "Vessel trends left to right, branching into finer, variably shaped segments.", + "background": "Dark, homogeneous, minimal detail." + }, + { + "image": "XCAD/training/images/03341_26.png", + "caption": "Curvilinear structures in monochrome X-ray image; XCAD dataset; Centered in image, occupying middle third; Variable size, main structures 2-3 mm wide, branching into finer structures; Curving branches radiate, tapering peripherally;", + "overview": "Curvilinear structures in monochrome X-ray image.", + "dataset": "XCAD dataset", + "location": "Centered in image, occupying middle third.", + "size": "Variable size, main structures 2-3 mm wide, branching into finer structures.", + "trend_shape": "Curving branches radiate, tapering peripherally.", + "background": "Grainy, low-contrast background with indiscernible elements." + }, + { + "image": "XCAD/training/images/03397_42.png", + "caption": "Vascular X-ray image with contrast-filled structures; XCAD dataset; Central and left-sided coronary angiography shows vessel branching; Vessels of various sizes, from thread-like to prominent channels, are shown; Tortuous, serpentine vascular structures exhibit complex arborization with linear and curved segments;", + "overview": "Vascular X-ray image with contrast-filled structures.", + "dataset": "XCAD dataset", + "location": "Central and left-sided coronary angiography shows vessel branching.", + "size": "Vessels of various sizes, from thread-like to prominent channels, are shown.", + "trend_shape": "Tortuous, serpentine vascular structures exhibit complex arborization with linear and curved segments.", + "background": "Uniform, non-distracting background with soft-tissue X-ray texture." + }, + { + "image": "XCAD/training/images/03580_27.png", + "caption": "Monochrome X-ray image, curvilinear structures network; XCAD dataset; Coronary angiography prominent centrally and right; Variable size, arteries ~mm in diameter; Coronary arteries are tortuous, bifurcating, and taper distally;", + "overview": "Monochrome X-ray image, curvilinear structures network", + "dataset": "XCAD dataset", + "location": "Coronary angiography prominent centrally and right.", + "size": "Variable size, arteries ~mm in diameter", + "trend_shape": "Coronary arteries are tortuous, bifurcating, and taper distally.", + "background": "Dark gray background with slight variations." + }, + { + "image": "XCAD/training/images/03744_38.png", + "caption": "Coronary angiogram image shows contrast-filled heart vessels; XCAD dataset; Coronary angiography displays vessels radiating vertically; Vessel size varies from prominent main branches to finer secondary branches; Meandering branches against contrasting surroundings;", + "overview": "Coronary angiogram image shows contrast-filled heart vessels.", + "dataset": "XCAD dataset", + "location": "Coronary angiography displays vessels radiating vertically.", + "size": "Vessel size varies from prominent main branches to finer secondary branches.", + "trend_shape": "Meandering branches against contrasting surroundings", + "background": "Gray background with low-contrast thoracic structures." + }, + { + "image": "XCAD/training/images/04552_31.png", + "caption": "Monochromatic X-ray image of contrast-enhanced coronary arteries; XCAD dataset; Coronary angiography prominently extends top right and lower right; Variable vessel size with main branches ~ 2-4 mm in diameter; Branching, sinuous coronary artery trajectories with bifurcations;", + "overview": "Monochromatic X-ray image of contrast-enhanced coronary arteries.", + "dataset": "XCAD dataset", + "location": "Coronary angiography prominently extends top right and lower right.", + "size": "Variable vessel size with main branches ~ 2-4 mm in diameter.", + "trend_shape": "Branching, sinuous coronary artery trajectories with bifurcations.", + "background": "Homogeneous dark background with minor contrast variations." + }, + { + "image": "XCAD/training/images/04911_18.png", + "caption": "X-ray image showing contrast-enhanced arteries; XCAD dataset; Coronary angiography prominent centrally to upper left quadrant; Variable diameter: proximal wider, distal tapered (2-5 mm); Tortuous, branching pattern with irregular contours, mainly curvilinear with bifurcations and angles;", + "overview": "X-ray image showing contrast-enhanced arteries.", + "dataset": "XCAD dataset", + "location": "Coronary angiography prominent centrally to upper left quadrant.", + "size": "Variable diameter: proximal wider, distal tapered (2-5 mm).", + "trend_shape": "Tortuous, branching pattern with irregular contours, mainly curvilinear with bifurcations and angles.", + "background": "Gray bg, soft tissue density + faint opacities." + }, + { + "image": "XCAD/training/images/05071_11.png", + "caption": "Curvilinear contrast structures in an X-ray image; XCAD dataset; Coronary angiography is central, with branches extending upper and right; Coronary angiography: Main artery robust at root, tapering to finer branches; Angiography shows convoluted vessels with multiple curves and branches;", + "overview": "Curvilinear contrast structures in an X-ray image.", + "dataset": "XCAD dataset", + "location": "Coronary angiography is central, with branches extending upper and right.", + "size": "Coronary angiography: Main artery robust at root, tapering to finer branches.", + "trend_shape": "Angiography shows convoluted vessels with multiple curves and branches.", + "background": "Grayscale background with no features." + }, + { + "image": "XCAD/training/images/05143_11.png", + "caption": "X-ray image shows curvilinear structures in blood vessels filled with dye; XCAD dataset; Central portion, middle-left to upper-right; Variable width filaments and tubes; Sinuous curves with branching, smooth/pointed, form C/S patterns, some vessels loop;", + "overview": "X-ray image shows curvilinear structures in blood vessels filled with dye.", + "dataset": "XCAD dataset", + "location": "Central portion, middle-left to upper-right.", + "size": "Variable width filaments and tubes.", + "trend_shape": "Sinuous curves with branching, smooth/pointed, form C/S patterns, some vessels loop.", + "background": "Uniform, grainy texture without distinct landmarks." + }, + { + "image": "XCAD/training/images/05470_45.png", + "caption": "Grainy monochrome image of vascular structures vs. background; XCAD dataset; Coronary angiography located centrally and left, vessels extend to bottom right; Variable vessel size, robust near origin, tapering peripherally; Branched, curved vessel pattern with bifurcations; main vessel courses diagonally top left to bottom right, smaller branches radiate outward with decreasing size;", + "overview": "Grainy monochrome image of vascular structures vs. background", + "dataset": "XCAD dataset", + "location": "Coronary angiography located centrally and left, vessels extend to bottom right.", + "size": "Variable vessel size, robust near origin, tapering peripherally.", + "trend_shape": "Branched, curved vessel pattern with bifurcations; main vessel courses diagonally top left to bottom right, smaller branches radiate outward with decreasing size.", + "background": "Nondescript background contrasts highlighted vasculature." + }, + { + "image": "XCAD/training/images/05789_28.png", + "caption": "High-contrast X-ray image of curvilinear structures, catheters, and skeletal structures; XCAD dataset; Mid-upper right; Variable-sized vessels, main one broad, tapering into finer branches; Coronary angiography reveals a sinuous pattern with smooth bends and loops;", + "overview": "High-contrast X-ray image of curvilinear structures, catheters, and skeletal structures.", + "dataset": "XCAD dataset", + "location": "Mid-upper right.", + "size": "Variable-sized vessels, main one broad, tapering into finer branches.", + "trend_shape": "Coronary angiography reveals a sinuous pattern with smooth bends and loops.", + "background": "Dark gray image with minimal artifacts." + }, + { + "image": "XCAD/training/images/05992_37.png", + "caption": "Monochromatic X-ray image of high-contrast branching structures; XCAD dataset; Coronary angiography occupies middle third of frame, with branches extending peripherally; Angiography contains linear structures of varying widths (1-3 mm); Curvilinear structures with smooth/irregular contours extend tortuously, bifurcating in various directions;", + "overview": "Monochromatic X-ray image of high-contrast branching structures.", + "dataset": "XCAD dataset", + "location": "Coronary angiography occupies middle third of frame, with branches extending peripherally.", + "size": "Angiography contains linear structures of varying widths (1-3 mm).", + "trend_shape": "Curvilinear structures with smooth/irregular contours extend tortuously, bifurcating in various directions.", + "background": "Grainy background with indistinct shadowy anatomy." + }, + { + "image": "XCAD/training/images/06027_24.png", + "caption": "Monochromatic X-ray image of coronary arteries, with catheter; XCAD dataset; Central coronary angiography, prominent in upper half; Angiography shows typical coronary artery vessels ranging from 1 to 4 mm in diameter; Curvilinear structures exhibit a smooth, serpentine-like branching pattern with varying curve radii, resembling coronary vasculature;", + "overview": "Monochromatic X-ray image of coronary arteries, with catheter.", + "dataset": "XCAD dataset", + "location": "Central coronary angiography, prominent in upper half.", + "size": "Angiography shows typical coronary artery vessels ranging from 1 to 4 mm in diameter.", + "trend_shape": "Curvilinear structures exhibit a smooth, serpentine-like branching pattern with varying curve radii, resembling coronary vasculature.", + "background": "Gray background with subtle shadows." + }, + { + "image": "XCAD/training/images/06353_25.png", + "caption": "Monochromatic X-ray with arterial contrast; XCAD dataset; From upper left, diagonally towards lower right; Variable-size vessels widen at origin, taper into finer branches; Serpentine curvilinear structures with branching and curvature, indicating a vascular network;", + "overview": "Monochromatic X-ray with arterial contrast.", + "dataset": "XCAD dataset", + "location": "From upper left, diagonally towards lower right.", + "size": "Variable-size vessels widen at origin, taper into finer branches.", + "trend_shape": "Serpentine curvilinear structures with branching and curvature, indicating a vascular network.", + "background": "Greyscale background with gridlines and tissue shadows." + }, + { + "image": "XCAD/training/images/06871_20.png", + "caption": "Monochromatic X-ray image showing contrast-filled blood vessels; XCAD dataset; Central to right portion of the image, diagonally oriented; Varying diameter, major vessels approximately 2-4mm visible; Arteries exhibit tortuous paths with smooth, curvilinear profiles, branching patterns visible; Low-contrast, grainy background with no distinct features;", + "overview": "Monochromatic X-ray image showing contrast-filled blood vessels; ", + "dataset": "XCAD dataset; ", + "location": "Central to right portion of the image, diagonally oriented; ", + "size": "Varying diameter, major vessels approximately 2-4mm visible; ", + "trend_shape": "Arteries exhibit tortuous paths with smooth, curvilinear profiles, branching patterns visible; ", + "background": "Low-contrast, grainy background with no distinct features." + }, + { + "image": "XCAD/training/images/07670_39.png", + "caption": "High-contrast monochrome X-ray of coronary arteries; XCAD dataset; Angiography: prominent central branching upwards and laterally; Artery width varies: thicker proximally, tapering distally; side branches thinner; Coronary artery path: sinuous, sweeping, intricate, acute angles;", + "overview": "High-contrast monochrome X-ray of coronary arteries.", + "dataset": "XCAD dataset", + "location": "Angiography: prominent central branching upwards and laterally", + "size": "Artery width varies: thicker proximally, tapering distally; side branches thinner.", + "trend_shape": "Coronary artery path: sinuous, sweeping, intricate, acute angles.", + "background": "Dark background contrasts vascular structures." + }, + { + "image": "XCAD/training/images/08083_20.png", + "caption": "Vascular X-ray with medical instruments; XCAD dataset; Upper coronary angiography with catheter entry from top; Vessels reduce in size with branching; Sinuous main coronary artery with bifurcating branches following vertical curvilinear pathways;", + "overview": "Vascular X-ray with medical instruments", + "dataset": "XCAD dataset", + "location": "Upper coronary angiography with catheter entry from top.", + "size": "Vessels reduce in size with branching.", + "trend_shape": "Sinuous main coronary artery with bifurcating branches following vertical curvilinear pathways.", + "background": "Dark background with gray gradients (typical of X-rays)." + }, + { + "image": "XCAD/training/images/08157_24.png", + "caption": "Monochrome X-ray image of contrast-filled vasculature; XCAD dataset; Coronary angiography prominent center, extending to upper left; Variable vessel diameter, main coronary artery 2-4 mm in width with smaller branching vessels; Sinuous vessels branch, primary smooth, secondary tapered and curling;", + "overview": "Monochrome X-ray image of contrast-filled vasculature.", + "dataset": "XCAD dataset", + "location": "Coronary angiography prominent center, extending to upper left.", + "size": "Variable vessel diameter, main coronary artery 2-4 mm in width with smaller branching vessels.", + "trend_shape": "Sinuous vessels branch, primary smooth, secondary tapered and curling.", + "background": "Grayscale background with soft tissue shadows." + }, + { + "image": "XCAD/training/images/08449_36.png", + "caption": "X-ray image of curvilinear arteries within a heart outline; XCAD dataset; Coronary angiography prominent in central region, extending diagonally from upper left to bottom right; Angiography shows arteries of varying sizes, from large primary to smaller secondary and tertiary branches; Primary artery is sinuous, while secondary branches are fragmented and tortuous;", + "overview": "X-ray image of curvilinear arteries within a heart outline.", + "dataset": "XCAD dataset", + "location": "Coronary angiography prominent in central region, extending diagonally from upper left to bottom right.", + "size": "Angiography shows arteries of varying sizes, from large primary to smaller secondary and tertiary branches.", + "trend_shape": "Primary artery is sinuous, while secondary branches are fragmented and tortuous.", + "background": "Uniform grainy low-contrast field with vertical/horizontal artifact lines." + }, + { + "image": "XCAD/training/images/09691_30.png", + "caption": "Monochrome X-ray: curvilinear arterial vasculature; XCAD dataset; Coronary angiography is centered, slightly left-biased, with catheter insertion visible at top; Coronary angiography structures vary in size, with the main artery the largest, branching into thinner vessels; Coronary arteries exhibit sinuous, tapered shapes and typical branching patterns;", + "overview": "Monochrome X-ray: curvilinear arterial vasculature.", + "dataset": "XCAD dataset", + "location": "Coronary angiography is centered, slightly left-biased, with catheter insertion visible at top.", + "size": "Coronary angiography structures vary in size, with the main artery the largest, branching into thinner vessels.", + "trend_shape": "Coronary arteries exhibit sinuous, tapered shapes and typical branching patterns.", + "background": "Dark background contrasts angiography." + }, + { + "image": "XCAD/training/images/09790_25.png", + "caption": "Curvilinear structures in grayscale X-ray image; XCAD dataset; Center of image, radiating outward left of center; Coronary angiography shows vessels 1-4 mm in diameter; Arteries have a winding path with bends and branches, including S and C shapes;", + "overview": "Curvilinear structures in grayscale X-ray image.", + "dataset": "XCAD dataset", + "location": "Center of image, radiating outward left of center", + "size": "Coronary angiography shows vessels 1-4 mm in diameter.", + "trend_shape": "Arteries have a winding path with bends and branches, including S and C shapes.", + "background": "Grayscale backdrop with soft shadows." + }, + { + "image": "XCAD/training/images/09892_30.png", + "caption": "High-contrast curvilinear X-ray image on uniform background; XCAD dataset; Central and left-tilted coronary angiography; Angiography: Main vessel with branches; main vessel 1/4 image width, branches vary from fine to 1/2 main vessel width; Curvilinear main vessel with serpentine branches, some with hairpin turns and acute angles;", + "overview": "High-contrast curvilinear X-ray image on uniform background.", + "dataset": "XCAD dataset", + "location": "Central and left-tilted coronary angiography.", + "size": "Angiography: Main vessel with branches; main vessel 1/4 image width, branches vary from fine to 1/2 main vessel width.", + "trend_shape": "Curvilinear main vessel with serpentine branches, some with hairpin turns and acute angles.", + "background": "Gray tone with lower soft tissue." + }, + { + "image": "XCAD/training/images/10538_45.png", + "caption": "X-ray image of coronary arteries with contrast; XCAD dataset; Coronary angiography with catheter inserting contrast; Coronary arteries range in diameter from 1 to 5 millimeters; Arteries in a tortuous pattern extend from upper center to lower right of image;", + "overview": "X-ray image of coronary arteries with contrast.", + "dataset": "XCAD dataset", + "location": "Coronary angiography with catheter inserting contrast.", + "size": "Coronary arteries range in diameter from 1 to 5 millimeters.", + "trend_shape": "Arteries in a tortuous pattern extend from upper center to lower right of image.", + "background": "Grey background with faint anatomy." + }, + { + "image": "XCAD/training/images/10876_24.png", + "caption": "Vascular X-ray image with high contrast; XCAD dataset; Coronary angiogram shows central location with prominent arteries; Coronary arteries range from 2 mm to sub-millimeter size; Anterograde flow shows left and right coronary arteries with curvilinear patterns extending throughout the cardiac silhouette;", + "overview": "Vascular X-ray image with high contrast.", + "dataset": "XCAD dataset", + "location": "Coronary angiogram shows central location with prominent arteries.", + "size": "Coronary arteries range from 2 mm to sub-millimeter size.", + "trend_shape": "Anterograde flow shows left and right coronary arteries with curvilinear patterns extending throughout the cardiac silhouette.", + "background": "Uniform, radiolucent background with gradient and artifacts." + }, + { + "image": "XCAD/training/images/10923_31.png", + "caption": "Monochromatic X-ray image of branching structures; XCAD dataset; Coronary angiography shows prominent branching structures centrally, spreading outwards; Variable-sized, 2-4mm diameter, tapering branches; Main vessels are smooth, curvilinear, with tortuous and bifurcating secondary branches;", + "overview": "Monochromatic X-ray image of branching structures.", + "dataset": "XCAD dataset", + "location": "Coronary angiography shows prominent branching structures centrally, spreading outwards.", + "size": "Variable-sized, 2-4mm diameter, tapering branches", + "trend_shape": "Main vessels are smooth, curvilinear, with tortuous and bifurcating secondary branches.", + "background": "Gray background with soft shadows." + }, + { + "image": "XCAD/training/images/09990_38.png", + "caption": "High-contrast curvilinear X-ray image; XCAD dataset; Coronary angiography branches from top center downward and left; Variable-sized vessels: wide at origin, tapering with fine to medium branches; Sinuous curvilinear trend with branching vessels and sharp angles;", + "overview": "High-contrast curvilinear X-ray image.", + "dataset": "XCAD dataset", + "location": "Coronary angiography branches from top center downward and left.", + "size": "Variable-sized vessels: wide at origin, tapering with fine to medium branches.", + "trend_shape": "Sinuous curvilinear trend with branching vessels and sharp angles.", + "background": "Grey, non-distinct backdrop." + }, + { + "image": "XCAD/training/images/12128_42.png", + "caption": "Monochrome X-ray reveals curvilinear structures and shadows of anatomy; XCAD dataset; Central coronary angiography: prominent radiopaque arteries; Coronary arteries are moderately sized with variable diameters, as expected in normal anatomy; Serpentine coronary vessels exhibit sinuous course with smooth and tortuous segments;", + "overview": "Monochrome X-ray reveals curvilinear structures and shadows of anatomy.", + "dataset": "XCAD dataset", + "location": "Central coronary angiography: prominent radiopaque arteries.", + "size": "Coronary arteries are moderately sized with variable diameters, as expected in normal anatomy.", + "trend_shape": "Serpentine coronary vessels exhibit sinuous course with smooth and tortuous segments.", + "background": "Grainy gray texture with bony and soft tissue shadows." + }, + { + "image": "XCAD/training/images/12522_29.png", + "caption": "Curvilinear contrast-enhanced X-ray image; XCAD dataset; Coronary angiography occupies top half of image; Coronary angiography displays threadlike structures, ranging from 1-5 mm in thickness; Coronary angiography exhibits complex curvatures and branching;", + "overview": "Curvilinear contrast-enhanced X-ray image.", + "dataset": "XCAD dataset", + "location": "Coronary angiography occupies top half of image.", + "size": "Coronary angiography displays threadlike structures, ranging from 1-5 mm in thickness.", + "trend_shape": "Coronary angiography exhibits complex curvatures and branching.", + "background": "Background is uniform and featureless, highlighting angiography." + }, + { + "image": "XCAD/training/images/12568_21.png", + "caption": "X-ray of a heart with visible blood vessels; XCAD dataset; Coronary angiography primarily visible in the image's central-left region; Blood vessel width varies along their lengths, ranging from thin to moderately thick; Angiography reveals a complex curvilinear vascular network with branching, curving, bifurcations, and serpentine vessels;", + "overview": "X-ray of a heart with visible blood vessels.", + "dataset": "XCAD dataset", + "location": "Coronary angiography primarily visible in the image's central-left region.", + "size": "Blood vessel width varies along their lengths, ranging from thin to moderately thick.", + "trend_shape": "Angiography reveals a complex curvilinear vascular network with branching, curving, bifurcations, and serpentine vessels.", + "background": "Dark background with subtle shadows and textures, unobtrusive to angiography." + }, + { + "image": "XCAD/training/images/13011_18.png", + "caption": "Coronary artery contrast-enhanced radiograph; XCAD dataset; Coronary angiography visible in upper two-thirds of image center; Variable vessel size, with prominent main arteries branching finely; Coronary arteries display a curvilinear, branching structure with smooth tapers and intricate branches;", + "overview": "Coronary artery contrast-enhanced radiograph", + "dataset": "XCAD dataset", + "location": "Coronary angiography visible in upper two-thirds of image center.", + "size": "Variable vessel size, with prominent main arteries branching finely", + "trend_shape": "Coronary arteries display a curvilinear, branching structure with smooth tapers and intricate branches.", + "background": "Grainy, dark background with thoracic shadows." + }, + { + "image": "XCAD/training/images/13103_32.png", + "caption": "X-ray image: high contrast curvilinear structures on muted background; XCAD dataset; Central coronary angiography branches centrally and right; Vessel diameters decrease progressively, main vessel largest; Coronary angiography reveals sinuous and arching paths with smooth contours, varying from tortuous to linear;", + "overview": "X-ray image: high contrast curvilinear structures on muted background.", + "dataset": "XCAD dataset", + "location": "Central coronary angiography branches centrally and right.", + "size": "Vessel diameters decrease progressively, main vessel largest.", + "trend_shape": "Coronary angiography reveals sinuous and arching paths with smooth contours, varying from tortuous to linear.", + "background": "Grey tone with subtle texture variations." + }, + { + "image": "XCAD/training/images/13704_16.png", + "caption": "Monochromatic X-ray image contrasts vascular structures against darker background; XCAD dataset; Coronary angiography: centrally located, middle third vertically, left central to upper right horizontally; Vessel size significant: main 2-3 mm, branches 1-2 mm, extending over two-thirds of image width; S-shaped vessel transitions to C-curve distally, with tortuous branches and bifurcations;", + "overview": "Monochromatic X-ray image contrasts vascular structures against darker background.", + "dataset": "XCAD dataset", + "location": "Coronary angiography: centrally located, middle third vertically, left central to upper right horizontally.", + "size": "Vessel size significant: main 2-3 mm, branches 1-2 mm, extending over two-thirds of image width.", + "trend_shape": "S-shaped vessel transitions to C-curve distally, with tortuous branches and bifurcations.", + "background": "Dark background with faint lines indicating anatomy or apparatus." + }, + { + "image": "XCAD/training/images/14356_27.png", + "caption": "Monochrome X-ray showing contrast-filled blood vessels; XCAD dataset; Dense contrast in central horizontal coronary artery with branching; Coronary angiography shows varying vessel diameters, with the main vessel at ~25% image width and branches tapering to fine lines; Serpentine coronary artery with \"C\" curve on right and looping structure on left;", + "overview": "Monochrome X-ray showing contrast-filled blood vessels.", + "dataset": "XCAD dataset", + "location": "Dense contrast in central horizontal coronary artery with branching.", + "size": "Coronary angiography shows varying vessel diameters, with the main vessel at ~25% image width and branches tapering to fine lines.", + "trend_shape": "Serpentine coronary artery with \"C\" curve on right and looping structure on left.", + "background": "Dark, low-contrast background highlights vascular structures." + }, + { + "image": "XCAD/training/images/14717_23.png", + "caption": "X-ray of blood vessels in gray; XCAD dataset; Angiography centered in upper image half; Angiography shows vessels 1-10 mm thick; Vessels display a complex curvilinear branching pattern with variable contours and arterial branch curvatures;", + "overview": "X-ray of blood vessels in gray.", + "dataset": "XCAD dataset", + "location": "Angiography centered in upper image half.", + "size": "Angiography shows vessels 1-10 mm thick.", + "trend_shape": "Vessels display a complex curvilinear branching pattern with variable contours and arterial branch curvatures.", + "background": "Diffuse gray with varying shades, no features." + }, + { + "image": "XCAD/training/images/14764_27.png", + "caption": "X-ray image of branching vascular structures with varying opacities; XCAD dataset; Coronary angiography primarily visible in upper image, with main branch originating top-center and descending; Coronary branches range from major vessels to capillary offshoots; Complex arborescent angiography pattern with curvilinear branches, notable sinuosity and progressive tapering peripherally;", + "overview": "X-ray image of branching vascular structures with varying opacities.", + "dataset": "XCAD dataset", + "location": "Coronary angiography primarily visible in upper image, with main branch originating top-center and descending.", + "size": "Coronary branches range from major vessels to capillary offshoots.", + "trend_shape": "Complex arborescent angiography pattern with curvilinear branches, notable sinuosity and progressive tapering peripherally.", + "background": "Dark background enhances vascular contrast." + }, + { + "image": "XCAD/training/images/15534_41.png", + "caption": "Coronary artery X-ray with contrast; XCAD dataset; Central coronary angiogram shows heart arteries; Arteries of varying calibers (1-5 mm in diameter) are seen on angiography; Vertical trend within the image; main artery branching into finer curved vessels with tortuosity;", + "overview": "Coronary artery X-ray with contrast", + "dataset": "XCAD dataset", + "location": "Central coronary angiogram shows heart arteries.", + "size": "Arteries of varying calibers (1-5 mm in diameter) are seen on angiography.", + "trend_shape": "Vertical trend within the image; main artery branching into finer curved vessels with tortuosity.", + "background": "Background homogeneous and featureless." + }, + { + "image": "XCAD/training/images/15613_15.png", + "caption": "X-ray image shows high-contrast, curved lines on uniform background; XCAD dataset; Coronary angiography fills the image, from center left to upper and lower right corners; Coronary angiography vessels vary in size, ranging from 1-3mm in width; Coronary angiography reveals intricate branching, tight curves, and varying trajectories, including C-shaped curves to linear segments;", + "overview": "X-ray image shows high-contrast, curved lines on uniform background.", + "dataset": "XCAD dataset", + "location": "Coronary angiography fills the image, from center left to upper and lower right corners.", + "size": "Coronary angiography vessels vary in size, ranging from 1-3mm in width.", + "trend_shape": "Coronary angiography reveals intricate branching, tight curves, and varying trajectories, including C-shaped curves to linear segments.", + "background": "Uniform, grainy background lacks features." + }, + { + "image": "XCAD/training/images/15664_22.png", + "caption": "X-ray shows curvilinear structures like blood vessels near the heart; XCAD dataset; Coronary angiography shows vessel branches radiating from the center; Coronary angiography vessels vary in size, with main vessels larger than smaller branching ones; Coronary angiography exhibits a sinuous pattern with multiple branching points, varying curvatures, and upward/downward arching;", + "overview": "X-ray shows curvilinear structures like blood vessels near the heart.", + "dataset": "XCAD dataset", + "location": "Coronary angiography shows vessel branches radiating from the center.", + "size": "Coronary angiography vessels vary in size, with main vessels larger than smaller branching ones.", + "trend_shape": "Coronary angiography exhibits a sinuous pattern with multiple branching points, varying curvatures, and upward/downward arching.", + "background": "Uniform, dark background enhances angiography contrast." + }, + { + "image": "XCAD/training/images/15840_29.png", + "caption": "Coronary artery X-ray; XCAD dataset; Coronary angiography is in the upper two-thirds of the image; Coronary artery diameters range from 1 to 5 mm; Angiography reveals a complex curvilinear vascular network;", + "overview": "Coronary artery X-ray", + "dataset": "XCAD dataset", + "location": "Coronary angiography is in the upper two-thirds of the image.", + "size": "Coronary artery diameters range from 1 to 5 mm.", + "trend_shape": "Angiography reveals a complex curvilinear vascular network.", + "background": "Translucent background with subtle shading and faint grid artifacts." + }, + { + "image": "XCAD/training/images/15961_37.png", + "caption": "Monochromatic contrast-enhanced coronary X-ray; XCAD dataset; Coronary angiography contrasts centrally; Vessel sizes range from 1-2 cm to over 10 cm; Coronary angiography reveals complex vascular network;", + "overview": "Monochromatic contrast-enhanced coronary X-ray.", + "dataset": "XCAD dataset", + "location": "Coronary angiography contrasts centrally.", + "size": "Vessel sizes range from 1-2 cm to over 10 cm.", + "trend_shape": "Coronary angiography reveals complex vascular network.", + "background": "Homogeneous grayscale background with faint shadows." + }, + { + "image": "XCAD/training/images/16428_46.png", + "caption": "X-ray image of human heart with contrast-enhanced coronary arteries; XCAD dataset; Coronary angiography shows the left coronary artery system; Angiography shows vessels 2-4mm in diameter; Tortuous vessels branch and bifurcate around the heart;", + "overview": "X-ray image of human heart with contrast-enhanced coronary arteries.", + "dataset": "XCAD dataset", + "location": "Coronary angiography shows the left coronary artery system.", + "size": "Angiography shows vessels 2-4mm in diameter.", + "trend_shape": "Tortuous vessels branch and bifurcate around the heart.", + "background": "Grainy gray background with soft tissue and cardiac shadows." + }, + { + "image": "XCAD/training/images/17025_24.png", + "caption": "Monochromatic X-ray of heart arteries with contrast enhancement; XCAD dataset; Angiography extends from upper left to bottom right of the image; Angiography shows several branches of varying diameters; Tortuous, multi-branching coronary artery with smooth and sharp curves;", + "overview": "Monochromatic X-ray of heart arteries with contrast enhancement", + "dataset": "XCAD dataset", + "location": "Angiography extends from upper left to bottom right of the image.", + "size": "Angiography shows several branches of varying diameters.", + "trend_shape": "Tortuous, multi-branching coronary artery with smooth and sharp curves.", + "background": "Grainy grayscale background with soft tissue shadows." + }, + { + "image": "XCAD/training/images/17906_30.png", + "caption": "Monochromatic X-ray image with high-contrast vascular structures on dark background; XCAD dataset; Coronary angiography shows a branching network in the image's upper half, with defined lumens; Angiography reveals vessels of various sizes, with the main artery occupying about a quarter of the image width and tapering branches; Artery exhibits curvilinear trajectory with descending loops; branches exhibit intertwined, bifurcating morphology;", + "overview": "Monochromatic X-ray image with high-contrast vascular structures on dark background", + "dataset": "XCAD dataset", + "location": "Coronary angiography shows a branching network in the image's upper half, with defined lumens.", + "size": "Angiography reveals vessels of various sizes, with the main artery occupying about a quarter of the image width and tapering branches.", + "trend_shape": "Artery exhibits curvilinear trajectory with descending loops; branches exhibit intertwined, bifurcating morphology.", + "background": "Uniform background obscures cardiac silhouette details." + }, + { + "image": "XCAD/training/images/18095_29.png", + "caption": "Monochromatic X-ray image of vascular structures with varying opacity; XCAD dataset; Coronary angiogram shows main vascular structure from center to bottom left; Branching tree occupies a large portion of the frame; Curving main vessel branches into thinner, tree-like curvilinear vessels;", + "overview": "Monochromatic X-ray image of vascular structures with varying opacity.", + "dataset": "XCAD dataset", + "location": "Coronary angiogram shows main vascular structure from center to bottom left.", + "size": "Branching tree occupies a large portion of the frame.", + "trend_shape": "Curving main vessel branches into thinner, tree-like curvilinear vessels.", + "background": "Soft-edged, grayscale background with minimal detail." + }, + { + "image": "XCAD/training/images/18097_29.png", + "caption": "Monochromatic X-ray of curvilinear structures with varying opacities; XCAD dataset; Coronary angiography visible in center and upper left quadrant; Coronary angiography is large, with thin-to-moderately thick curvilinear widths; Tortuous angiography depicts arterial structures with varying cylindrical diameters;", + "overview": "Monochromatic X-ray of curvilinear structures with varying opacities.", + "dataset": "XCAD dataset", + "location": "Coronary angiography visible in center and upper left quadrant.", + "size": "Coronary angiography is large, with thin-to-moderately thick curvilinear widths.", + "trend_shape": "Tortuous angiography depicts arterial structures with varying cylindrical diameters.", + "background": "Translucent overlay with ambiguous shapes." + }, + { + "image": "XCAD/training/images/18139_23.png", + "caption": "Monochrome X-ray of internal anatomy with branching structures; XCAD dataset; Angiography shows a branching network in the upper image; Coronary angiography spans ~2/3 image height with variable vessel thickness; Angiography shows a curvilinear branching structure with tortuous bifurcations;", + "overview": "Monochrome X-ray of internal anatomy with branching structures", + "dataset": "XCAD dataset", + "location": "Angiography shows a branching network in the upper image.", + "size": "Coronary angiography spans ~2/3 image height with variable vessel thickness.", + "trend_shape": "Angiography shows a curvilinear branching structure with tortuous bifurcations.", + "background": "Uniform dark background with subtle grayscale variations." + }, + { + "image": "XCAD/training/images/18298_38.png", + "caption": "Monochromatic arterial X-ray image with contrast; XCAD dataset; Coronary angiography is central, spanning upper middle to lower right quadrant of image; Main vessel: 2-4mm diameter, branches: 1-2mm diameter; Tortuous, curved trajectory with smooth/irregular contours, prominent serpentine main vessel with bifurcations and smaller branches;", + "overview": "Monochromatic arterial X-ray image with contrast.", + "dataset": "XCAD dataset", + "location": "Coronary angiography is central, spanning upper middle to lower right quadrant of image", + "size": "Main vessel: 2-4mm diameter, branches: 1-2mm diameter.", + "trend_shape": "Tortuous, curved trajectory with smooth/irregular contours, prominent serpentine main vessel with bifurcations and smaller branches.", + "background": "Grayscale background with low contrast and noise." + }, + { + "image": "XCAD/training/images/18476_49.png", + "caption": "Monochromatic X-ray image of high-contrast vascular structures in a torso; XCAD dataset; Central radiating branches from bottom left to upper right; Vessel: 2-4 mm, branches <1 mm; Vessel path: sinuous and smooth; branches: curvilinear and angular;", + "overview": "Monochromatic X-ray image of high-contrast vascular structures in a torso.", + "dataset": "XCAD dataset", + "location": "Central radiating branches from bottom left to upper right.", + "size": "Vessel: 2-4 mm, branches <1 mm", + "trend_shape": "Vessel path: sinuous and smooth; branches: curvilinear and angular.", + "background": "Homogeneous grayscale background with soft tissue and bone shadows." + }, + { + "image": "XCAD/training/images/18489_21.png", + "caption": "Coronary artery angiogram; XCAD dataset; Coronary artery diagonally spans top left to bottom right of image; Coronary angiography branches vary in size, largest to smallest; Coronary angiography shows serpentine, winding trend with both smooth and irregular curvilinear shapes, suggesting normal and possible pathological vessel contours;", + "overview": "Coronary artery angiogram.", + "dataset": "XCAD dataset", + "location": "Coronary artery diagonally spans top left to bottom right of image.", + "size": "Coronary angiography branches vary in size, largest to smallest.", + "trend_shape": "Coronary angiography shows serpentine, winding trend with both smooth and irregular curvilinear shapes, suggesting normal and possible pathological vessel contours.", + "background": "Grayscale background with noise and artifacts." + }, + { + "image": "XCAD/training/images/18552_23.png", + "caption": "High-contrast X-ray image of coronary arteries; XCAD dataset; Central diagonal coronary artery in the image middle third; Angiography reveals vessels of various diameters, with a prominent main artery and multiple thinner branches; Main artery curves and branches into smaller ones, like tree branches;", + "overview": "High-contrast X-ray image of coronary arteries.", + "dataset": "XCAD dataset", + "location": "Central diagonal coronary artery in the image middle third.", + "size": "Angiography reveals vessels of various diameters, with a prominent main artery and multiple thinner branches.", + "trend_shape": "Main artery curves and branches into smaller ones, like tree branches.", + "background": "Grayscale background with subtle shadows and collimator edges." + }, + { + "image": "XCAD/training/images/18608_34.png", + "caption": "Chest X-ray showing cardiovascular structures; XCAD dataset; Coronary angiogram: contrasted vessels mainly above center; Coronary angiography reveals vessel diameters ranging from 2 to 5 millimeters; Serpentine vessels with smooth contours, bifurcations, and stenotic/patent segments;", + "overview": "Chest X-ray showing cardiovascular structures", + "dataset": "XCAD dataset", + "location": "Coronary angiogram: contrasted vessels mainly above center.", + "size": "Coronary angiography reveals vessel diameters ranging from 2 to 5 millimeters.", + "trend_shape": "Serpentine vessels with smooth contours, bifurcations, and stenotic/patent segments.", + "background": "Uniform, slightly textured background enhances angiography visibility." + }, + { + "image": "XCAD/training/images/18671_41.png", + "caption": "Monochromatic X-ray image of branching structures; XCAD dataset; Coronary angiography in upper image half; Coronary branches vary in size, density, and opacity; Complex curvilinear angiography with smooth/bifurcating branches extending multidirectionally;", + "overview": "Monochromatic X-ray image of branching structures", + "dataset": "XCAD dataset", + "location": "Coronary angiography in upper image half.", + "size": "Coronary branches vary in size, density, and opacity.", + "trend_shape": "Complex curvilinear angiography with smooth/bifurcating branches extending multidirectionally.", + "background": "Grayscale background with soft tissue shadows." + }, + { + "image": "XCAD/training/images/18597_47.png", + "caption": "Grayscale angiogram depicts contrast-filled coronary arteries; XCAD dataset; Coronary angiogram shows main artery branching from top left downwards and spreading center-right; Coronary angiography reveals major vessel with secondary and tertiary branches; Main artery has sinuous trajectory branching to secondary vessels, creating complex arborization pattern typical of coronary vascular anatomy;", + "overview": "Grayscale angiogram depicts contrast-filled coronary arteries.", + "dataset": "XCAD dataset", + "location": "Coronary angiogram shows main artery branching from top left downwards and spreading center-right.", + "size": "Coronary angiography reveals major vessel with secondary and tertiary branches.", + "trend_shape": "Main artery has sinuous trajectory branching to secondary vessels, creating complex arborization pattern typical of coronary vascular anatomy.", + "background": "Uniform gray background enhances angiographic visibility." + }, + { + "image": "XCAD/training/annotations/00018_33.png", + "caption": "GT-classified semantic map of curvilinear coronary artery structures from X-ray angiography; XCAD dataset; Central semantic map dominates uniform background; Map depicts arterial branches in detail, without specific dimensions; The semantic map of the capillaries appears reticulated, with the main branches bending and diverging extensively. The curvature and bifurcation resemble that of a coronal artery;", + "overview": "GT-classified semantic map of curvilinear coronary artery structures from X-ray angiography.", + "dataset": "XCAD dataset", + "location": "Central semantic map dominates uniform background.", + "size": "Map depicts arterial branches in detail, without specific dimensions.", + "trend_shape": "The semantic map of the capillaries appears reticulated, with the main branches bending and diverging extensively. The curvature and bifurcation resemble that of a coronal artery." + }, + { + "image": "XCAD/training/annotations/00026_38.png", + "caption": "Artery structure map from X-ray coronary angiography image; XCAD dataset; Semantic map in image center, covering middle third horizontally and vertically; Semantic map varies in width, maintaining fine thread-like appearance on black background; Semantic map resembles arterial network with curves, branches, and elongated shape;", + "overview": "Artery structure map from X-ray coronary angiography image.", + "dataset": "XCAD dataset", + "location": "Semantic map in image center, covering middle third horizontally and vertically.", + "size": "Semantic map varies in width, maintaining fine thread-like appearance on black background.", + "trend_shape": "Semantic map resembles arterial network with curves, branches, and elongated shape." + }, + { + "image": "XCAD/training/annotations/00158_49.png", + "caption": "Semantic map (GT) of X-ray coronary angiography; XCAD dataset; Centralized in the image with a clear border against the black background; Varies in width but uniformly thin, covering a moderate portion of the image canvas; Composed of multiple curving and intertwining lines representing the arterial structure with sinuous and branching patterns;", + "overview": "Semantic map (GT) of X-ray coronary angiography;", + "dataset": "XCAD dataset;", + "location": "Centralized in the image with a clear border against the black background;", + "size": "Varies in width but uniformly thin, covering a moderate portion of the image canvas;", + "trend_shape": "Composed of multiple curving and intertwining lines representing the arterial structure with sinuous and branching patterns." + }, + { + "image": "XCAD/training/annotations/00214_29.png", + "caption": "Black-white semantic map of coronary arteries (GT) for training; XCAD dataset; Semantic map overlays entire image canvas unbounded; Semantic map spans the image with varying line thicknesses; Semantic map shows arterial branches, with main vessel extending top center to lower left, smaller branches diverging at various angles;", + "overview": "Black-white semantic map of coronary arteries (GT) for training.", + "dataset": "XCAD dataset", + "location": "Semantic map overlays entire image canvas unbounded.", + "size": "Semantic map spans the image with varying line thicknesses.", + "trend_shape": "Semantic map shows arterial branches, with main vessel extending top center to lower left, smaller branches diverging at various angles.", + "background": "Abbreviated sentence:" + }, + { + "image": "XCAD/training/annotations/00303_28.png", + "caption": "Arterial structure GT map for X-ray coronary angiography image; XCAD dataset; Central semantic map covers most of image, focusing on upper right; Complex curvilinear network suggests arterial pathways of varying thickness; Semantic map displays vertical and diagonal flow with organic curvatures, mimicking coronary artery blood vessel patterns;", + "overview": "Arterial structure GT map for X-ray coronary angiography image", + "dataset": "XCAD dataset", + "location": "Central semantic map covers most of image, focusing on upper right.", + "size": "Complex curvilinear network suggests arterial pathways of varying thickness.", + "trend_shape": "Semantic map displays vertical and diagonal flow with organic curvatures, mimicking coronary artery blood vessel patterns.", + "background": "Optimal abbreviated sentence:\n\nDetails preserved." + }, + { + "image": "XCAD/training/annotations/00457_59.png", + "caption": "X-ray angiography GT map highlights curvilinear coronary arteries against solid background; XCAD dataset; Central semantic map dominates image space; Large semantic map zoomed in on coronary arteries, extending to image edges; Intricate semantic map of coronary arteries, with branching, elongated shape, and variable line thickness denoting lumen size;", + "overview": "X-ray angiography GT map highlights curvilinear coronary arteries against solid background.", + "dataset": "XCAD dataset", + "location": "Central semantic map dominates image space.", + "size": "Large semantic map zoomed in on coronary arteries, extending to image edges.", + "trend_shape": "Intricate semantic map of coronary arteries, with branching, elongated shape, and variable line thickness denoting lumen size." + }, + { + "image": "XCAD/training/annotations/00475_44.png", + "caption": "High-contrast, binary semantic map of coronary arteries for medical image analysis; XCAD dataset; Semantic map centered on black background, primary structures roughly centralized; Curvilinear structures indicate artery diameters within the image frame; Semantic map exhibits curvilinear network branching from central artery, resembling vascular structures;", + "overview": "High-contrast, binary semantic map of coronary arteries for medical image analysis.", + "dataset": "XCAD dataset", + "location": "Semantic map centered on black background, primary structures roughly centralized.", + "size": "Curvilinear structures indicate artery diameters within the image frame.", + "trend_shape": "Semantic map exhibits curvilinear network branching from central artery, resembling vascular structures." + }, + { + "image": "XCAD/training/annotations/00593_31.png", + "caption": "Coronary artery X-ray angiography GT semantic map; XCAD dataset; Central semantic map with clear margins on black background; Extensive semantic map with arterial branches occupying top, center, and bottom-right areas; Curvilinear vessels branching from a major vessel, with varying curvature and angles, depict a complex and realistic vascular structure with bifurcations and tapering;", + "overview": "Coronary artery X-ray angiography GT semantic map.", + "dataset": "XCAD dataset", + "location": "Central semantic map with clear margins on black background.", + "size": "Extensive semantic map with arterial branches occupying top, center, and bottom-right areas.", + "trend_shape": "Curvilinear vessels branching from a major vessel, with varying curvature and angles, depict a complex and realistic vascular structure with bifurcations and tapering." + }, + { + "image": "XCAD/training/annotations/00595_47.png", + "caption": "High-contrast vascular map (GT) of an X-ray coronary angiography; XCAD dataset; Semantic map occupies central and upper image, with branches towards edges; Large semantic map covering most of the image with varying vessel thickness; Complex curvilinear semantic map resembles a tree-like vascular network with arterial bifurcation and convergence;", + "overview": "High-contrast vascular map (GT) of an X-ray coronary angiography.", + "dataset": "XCAD dataset", + "location": "Semantic map occupies central and upper image, with branches towards edges.", + "size": "Large semantic map covering most of the image with varying vessel thickness.", + "trend_shape": "Complex curvilinear semantic map resembles a tree-like vascular network with arterial bifurcation and convergence." + }, + { + "image": "XCAD/training/annotations/00631_35.png", + "caption": "Coronary artery semantic map (GT) from X-ray angiography, containing only vessels; XCAD dataset; Central semantic map in visual field; Semantic map consists of multiple curvilinear structures forming a tree-like vascular network; Semantic map branches from a central line, resembling an inverted tree with intertwining branches like the coronary arteries;", + "overview": "Coronary artery semantic map (GT) from X-ray angiography, containing only vessels.", + "dataset": "XCAD dataset", + "location": "Central semantic map in visual field.", + "size": "Semantic map consists of multiple curvilinear structures forming a tree-like vascular network.", + "trend_shape": "Semantic map branches from a central line, resembling an inverted tree with intertwining branches like the coronary arteries." + }, + { + "image": "XCAD/training/annotations/00653_17.png", + "caption": "GT arterial structure map from X-ray angiography; XCAD dataset; Central semantic map dominates black background; Expanded semantic map suggests zoomed-in image or focus on a specific cardiovascular region; Semantic map shows branching coronary arteries, bifurcating from bottom left to top right, with varying widths representing artery sizes;", + "overview": "GT arterial structure map from X-ray angiography", + "dataset": "XCAD dataset", + "location": "Central semantic map dominates black background.", + "size": "Expanded semantic map suggests zoomed-in image or focus on a specific cardiovascular region.", + "trend_shape": "Semantic map shows branching coronary arteries, bifurcating from bottom left to top right, with varying widths representing artery sizes." + }, + { + "image": "XCAD/training/annotations/00763_27.png", + "caption": "X-ray coronary angiography GT presents curvilinear structures on a background; XCAD dataset; Map center-positioned, occupying most image space; Semantic map has many lines of varying thickness relative to image size; Semantic map depicts typical curvilinear coronary artery branching patterns, forming a complex vascular tree;", + "overview": "X-ray coronary angiography GT presents curvilinear structures on a background.", + "dataset": "XCAD dataset", + "location": "Map center-positioned, occupying most image space.", + "size": "Semantic map has many lines of varying thickness relative to image size.", + "trend_shape": "Semantic map depicts typical curvilinear coronary artery branching patterns, forming a complex vascular tree." + }, + { + "image": "XCAD/training/annotations/00907_43.png", + "caption": "Coronary artery semantic map extracted from X-ray angiography; XCAD dataset; Centralized semantic map fills most of frame with clear margins; Semantic map: large; covers 80% of image; elongated, following artery structure; Serpentine coronary artery network features curvilinear paths, thickness variations, loops, and bifurcations;", + "overview": "Coronary artery semantic map extracted from X-ray angiography.", + "dataset": "XCAD dataset", + "location": "Centralized semantic map fills most of frame with clear margins.", + "size": "Semantic map: large; covers 80% of image; elongated, following artery structure.", + "trend_shape": "Serpentine coronary artery network features curvilinear paths, thickness variations, loops, and bifurcations." + }, + { + "image": "XCAD/training/annotations/01130_36.png", + "caption": "Semantic map (GT) of coronary angiography outlines on black background; XCAD dataset; Curvilinear features concentrate in map's center and upper-left; Semantic map size varies across image, with regions displaying thicker or finer, concentrated or sparse curvilinear features; Semantic map exhibits a curvilinear trend with branching resembling coronary arteries;", + "overview": "Semantic map (GT) of coronary angiography outlines on black background.", + "dataset": "XCAD dataset", + "location": "Curvilinear features concentrate in map's center and upper-left.", + "size": "Semantic map size varies across image, with regions displaying thicker or finer, concentrated or sparse curvilinear features.", + "trend_shape": "Semantic map exhibits a curvilinear trend with branching resembling coronary arteries." + }, + { + "image": "XCAD/training/annotations/01251_32.png", + "caption": "Semantic map (GT) of vascular structure in X-ray angiography; XCAD dataset; Centralized semantic map covers most canvas, leaving clear margins; Large semantic map spans image extensively; Semantic map: complex network of curvilinear coronary artery structures with main trunk and branching vessels, forming a tree-like vascular pattern;", + "overview": "Semantic map (GT) of vascular structure in X-ray angiography.", + "dataset": "XCAD dataset", + "location": "Centralized semantic map covers most canvas, leaving clear margins.", + "size": "Large semantic map spans image extensively.", + "trend_shape": "Semantic map: complex network of curvilinear coronary artery structures with main trunk and branching vessels, forming a tree-like vascular pattern." + }, + { + "image": "XCAD/training/annotations/01759_32.png", + "caption": "BW semantic map of vascular structure from X-ray coronary angiography; XCAD dataset; Central semantic map depicts simplified coronary artery representation; Large semantic map occupying most of the canvas, designed as focal point for visibility and analysis; Curvilinear semantic map network resembles coronary arterial tree, with varying line thickness representing vessel calibers;", + "overview": "BW semantic map of vascular structure from X-ray coronary angiography.", + "dataset": "XCAD dataset", + "location": "Central semantic map depicts simplified coronary artery representation.", + "size": "Large semantic map occupying most of the canvas, designed as focal point for visibility and analysis.", + "trend_shape": "Curvilinear semantic map network resembles coronary arterial tree, with varying line thickness representing vessel calibers." + }, + { + "image": "XCAD/training/annotations/01965_47.png", + "caption": "GT semantic map of arterial structure in X-ray angiography; XCAD dataset; Central semantic map on uniform black background; Semantic map fills image space optimally; Semantic map resembles arterial network, with bifurcations, curves, varying thickness and curvature;", + "overview": "GT semantic map of arterial structure in X-ray angiography.", + "dataset": "XCAD dataset", + "location": "Central semantic map on uniform black background.", + "size": "Semantic map fills image space optimally.", + "trend_shape": "Semantic map resembles arterial network, with bifurcations, curves, varying thickness and curvature." + }, + { + "image": "XCAD/training/annotations/02020_31.png", + "caption": "Coronary artery semantic map (GT) highlights curvilinear structures on black background; XCAD dataset; Semantic map dominates image's center; Semantic map larger than image frame, curvilinear structures extend to edges; Complex semantic map with branching lines and variable thickness; elongated curves and bifurcations like arteries;", + "overview": "Coronary artery semantic map (GT) highlights curvilinear structures on black background.", + "dataset": "XCAD dataset", + "location": "Semantic map dominates image's center.", + "size": "Semantic map larger than image frame, curvilinear structures extend to edges.", + "trend_shape": "Complex semantic map with branching lines and variable thickness; elongated curves and bifurcations like arteries." + }, + { + "image": "XCAD/training/annotations/02208_30.png", + "caption": "Angiography-derived black and white semantic map of coronary arteries; XCAD dataset; Semantic map centralized, dominating frame; Semantic map size scales with image size, occupying most of the image area with varying curvilinear structure thickness; The semantic map contains curvilinear structures representing arterial paths, branching from major stems with smooth curvature;", + "overview": "Angiography-derived black and white semantic map of coronary arteries.", + "dataset": "XCAD dataset", + "location": "Semantic map centralized, dominating frame.", + "size": "Semantic map size scales with image size, occupying most of the image area with varying curvilinear structure thickness.", + "trend_shape": "The semantic map contains curvilinear structures representing arterial paths, branching from major stems with smooth curvature." + }, + { + "image": "XCAD/training/annotations/02429_20.png", + "caption": "High-contrast semantic map (GT) of curvilinear structures; XCAD dataset; Central semantic map dominates image space; Map fills image, varying line thickness shows curved structures; Diagonal semantic map shows curved, branching structures like coronary arteries in X-ray angiography;", + "overview": "High-contrast semantic map (GT) of curvilinear structures.", + "dataset": "XCAD dataset", + "location": "Central semantic map dominates image space.", + "size": "Map fills image, varying line thickness shows curved structures.", + "trend_shape": "Diagonal semantic map shows curved, branching structures like coronary arteries in X-ray angiography." + }, + { + "image": "XCAD/training/annotations/02961_51.png", + "caption": "Monochromatic semantic map of coronary angiography with distinct curvilinear coronary arteries; XCAD dataset; Semantic map at image center, surrounded by negative space, highlighting curves; Coronary structures span the height and half-width of the image, indicating high resolution for analysis; Coronary artery branches from top center to lower left, bifurcating outwards, tapering with distance;", + "overview": "Monochromatic semantic map of coronary angiography with distinct curvilinear coronary arteries.", + "dataset": "XCAD dataset", + "location": "Semantic map at image center, surrounded by negative space, highlighting curves.", + "size": "Coronary structures span the height and half-width of the image, indicating high resolution for analysis.", + "trend_shape": "Coronary artery branches from top center to lower left, bifurcating outwards, tapering with distance." + }, + { + "image": "XCAD/training/annotations/03099_17.png", + "caption": "GT semantic map of X-ray coronary angiography shows arteries; XCAD dataset; Semantic map in upper-left on black background; Map varies in width, widening at base, tapering at ends; Semantic map displays curvilinear trend with smooth and tight segments, mirroring coronary artery shape;", + "overview": "GT semantic map of X-ray coronary angiography shows arteries.", + "dataset": "XCAD dataset", + "location": "Semantic map in upper-left on black background.", + "size": "Map varies in width, widening at base, tapering at ends.", + "trend_shape": "Semantic map displays curvilinear trend with smooth and tight segments, mirroring coronary artery shape." + }, + { + "image": "XCAD/training/annotations/03268_26.png", + "caption": "GT semantic map for coronary artery structures in X-ray angiography; XCAD dataset; Central semantic map occupies most of the frame's center-left; Variable-sized map displays arterial branches with varying widths, thickest at 1/8 image width, finest barely visible; Semantic map displays curvilinear branches that bifurcate and become tortuous near the periphery;", + "overview": "GT semantic map for coronary artery structures in X-ray angiography.", + "dataset": "XCAD dataset", + "location": "Central semantic map occupies most of the frame's center-left.", + "size": "Variable-sized map displays arterial branches with varying widths, thickest at 1/8 image width, finest barely visible.", + "trend_shape": "Semantic map displays curvilinear branches that bifurcate and become tortuous near the periphery." + }, + { + "image": "XCAD/training/annotations/03397_42.png", + "caption": "GT coronary artery map from X-ray angiogram; XCAD dataset; Occupying most of the central area; Semantic map covers large portion of image with varying line widths for vessel sizes; Branching, curvilinear vascular tree structure, mainly vertical;", + "overview": "GT coronary artery map from X-ray angiogram", + "dataset": "XCAD dataset", + "location": "Occupying most of the central area.", + "size": "Semantic map covers large portion of image with varying line widths for vessel sizes.", + "trend_shape": "Branching, curvilinear vascular tree structure, mainly vertical." + }, + { + "image": "XCAD/training/annotations/03580_27.png", + "caption": "Image shows a semantic map (ground truth) of coronary artery structures from X-ray angiography; XCAD dataset; Central semantic map on black background; Large semantic map fills image canvas, providing clear structural visibility; Semantic map exhibits a curvilinear branching pattern akin to human heart blood vessels;", + "overview": "Image shows a semantic map (ground truth) of coronary artery structures from X-ray angiography.", + "dataset": "XCAD dataset", + "location": "Central semantic map on black background.", + "size": "Large semantic map fills image canvas, providing clear structural visibility.", + "trend_shape": "Semantic map exhibits a curvilinear branching pattern akin to human heart blood vessels." + }, + { + "image": "XCAD/training/annotations/04552_31.png", + "caption": "GT map of coronary arteries from X-ray angiography; XCAD dataset; Central map fills most of image with clear border space; Medium-sized semantic map with detailed arterial branches; Semantic map shows curvilinear structures resembling tree-like arterial branching patterns;", + "overview": "GT map of coronary arteries from X-ray angiography", + "dataset": "XCAD dataset", + "location": "Central map fills most of image with clear border space.", + "size": "Medium-sized semantic map with detailed arterial branches.", + "trend_shape": "Semantic map shows curvilinear structures resembling tree-like arterial branching patterns." + }, + { + "image": "XCAD/training/annotations/05071_11.png", + "caption": "GT: High-contrast curvilinear structures on dark background; XCAD dataset; Central location with outward extensions from upper left; Curvilinear structures dominate the image, varying in width; Vascular or arboreal branching pattern with smooth curves and bifurcations;", + "overview": "GT: High-contrast curvilinear structures on dark background", + "dataset": "XCAD dataset", + "location": "Central location with outward extensions from upper left.", + "size": "Curvilinear structures dominate the image, varying in width.", + "trend_shape": "Vascular or arboreal branching pattern with smooth curves and bifurcations.", + "background": "Key details sentence:" + }, + { + "image": "XCAD/training/annotations/05143_11.png", + "caption": "Coronary artery map (GT) in white on black, depicting vessel structure; XCAD dataset; Semantic map occupies most of the image; Semantic map covers ~70-80% of image, high contrast against background; Semantic map displays branching, curvilinear coronary artery pattern with varying vessel dimensions;", + "overview": "Coronary artery map (GT) in white on black, depicting vessel structure.", + "dataset": "XCAD dataset", + "location": "Semantic map occupies most of the image.", + "size": "Semantic map covers ~70-80% of image, high contrast against background", + "trend_shape": "Semantic map displays branching, curvilinear coronary artery pattern with varying vessel dimensions." + }, + { + "image": "XCAD/training/annotations/05470_45.png", + "caption": "Medical image semantic map (GT) for coronary artery visualization in X-ray angiography; XCAD dataset; Central semantic map dominates image; Large semantic map fills central and left portions of image, extending from top to bottom with varying thickness curvilinear structures; Curvilinear semantic map structures mimic branching patterns of heart vascular structures, replicating arterial pathways;", + "overview": "Medical image semantic map (GT) for coronary artery visualization in X-ray angiography.", + "dataset": "XCAD dataset", + "location": "Central semantic map dominates image.", + "size": "Large semantic map fills central and left portions of image, extending from top to bottom with varying thickness curvilinear structures.", + "trend_shape": "Curvilinear semantic map structures mimic branching patterns of heart vascular structures, replicating arterial pathways." + }, + { + "image": "XCAD/training/annotations/05698_52.png", + "caption": "GT vascular structure map from X-ray coronary angiography; XCAD dataset; Central semantic map spans image diagonally; Semantic map size varies, with line thickness ranging from 1-5 pixels; Semantic map displays a vertical and diagonal trend, with intricate curves representing the coronary arterial tree's main vessels and finer branches;", + "overview": "GT vascular structure map from X-ray coronary angiography.", + "dataset": "XCAD dataset", + "location": "Central semantic map spans image diagonally.", + "size": "Semantic map size varies, with line thickness ranging from 1-5 pixels.", + "trend_shape": "Semantic map displays a vertical and diagonal trend, with intricate curves representing the coronary arterial tree's main vessels and finer branches." + }, + { + "image": "XCAD/training/annotations/05992_37.png", + "caption": "Coronary artery GT map via X-ray angiography; XCAD dataset; Central, dominant placement; Variable filament thickness, curvilinear shapes, fills image without boundary contact; Semantic map has branching, curvy lines like arteries with varying curvature;", + "overview": "Coronary artery GT map via X-ray angiography", + "dataset": "XCAD dataset", + "location": "Central, dominant placement", + "size": "Variable filament thickness, curvilinear shapes, fills image without boundary contact.", + "trend_shape": "Semantic map has branching, curvy lines like arteries with varying curvature." + }, + { + "image": "XCAD/training/annotations/06027_24.png", + "caption": "High-contrast curvilinear structures on dark background represent GT for coronary artery analysis; XCAD dataset; Central semantic map; Variable width of curvilinear structures, conforming to canvas dimensions; Vessels branch and taper, with smooth curves and divisions, including a sinuous main vessel with varying secondary vessels;", + "overview": "High-contrast curvilinear structures on dark background represent GT for coronary artery analysis.", + "dataset": "XCAD dataset", + "location": "Central semantic map.", + "size": "Variable width of curvilinear structures, conforming to canvas dimensions.", + "trend_shape": "Vessels branch and taper, with smooth curves and divisions, including a sinuous main vessel with varying secondary vessels." + }, + { + "image": "XCAD/training/annotations/06353_25.png", + "caption": "Coronary artery semantic map ground truth from X-ray angiography; XCAD dataset; Centered within the frame's upper region; Width varies from 1 to 30 pixels, length extends most of image height; Tree-like branching from thick root, curvilinear structures with bifurcations, tapering periphery, vertical orientation;", + "overview": "Coronary artery semantic map ground truth from X-ray angiography", + "dataset": "XCAD dataset", + "location": "Centered within the frame's upper region.", + "size": "Width varies from 1 to 30 pixels, length extends most of image height.", + "trend_shape": "Tree-like branching from thick root, curvilinear structures with bifurcations, tapering periphery, vertical orientation.", + "background": "Optimal abbreviated sentence:" + }, + { + "image": "XCAD/training/annotations/06871_20.png", + "caption": "GT image: High-contrast semantic map of coronary arteries from X-ray angiography; XCAD dataset; Semantic map: centrally oriented, occupying middle, extending upper/lower; Varied vessel diameters with fine and thick structures; Complex vascular network of smooth, sinuous vessels with branching points;", + "overview": "GT image: High-contrast semantic map of coronary arteries from X-ray angiography", + "dataset": "XCAD dataset", + "location": "Semantic map: centrally oriented, occupying middle, extending upper/lower", + "size": "Varied vessel diameters with fine and thick structures.", + "trend_shape": "Complex vascular network of smooth, sinuous vessels with branching points." + }, + { + "image": "XCAD/training/annotations/07670_39.png", + "caption": "Semantic map of X-ray coronary angiography; XCAD dataset; Central semantic map covers most of the image; Large semantic map occupies most of the image canvas; Curvilinear structures from a central trunk mimic coronary arteries, forming an organic, tree-like vascular system;", + "overview": "Semantic map of X-ray coronary angiography.", + "dataset": "XCAD dataset", + "location": "Central semantic map covers most of the image.", + "size": "Large semantic map occupies most of the image canvas.", + "trend_shape": "Curvilinear structures from a central trunk mimic coronary arteries, forming an organic, tree-like vascular system.", + "background": "Brevity is key." + }, + { + "image": "XCAD/training/annotations/08083_20.png", + "caption": "Semantic map (GT) of curvilinear structures in X-ray coronary angiography; XCAD dataset; Centrally located semantic map extends from middle to periphery; Semantic map covers most of the image, with varying line thicknesses; Complex semantic map with branching patterns, curvilinear shapes, and focal points;", + "overview": "Semantic map (GT) of curvilinear structures in X-ray coronary angiography.", + "dataset": "XCAD dataset", + "location": "Centrally located semantic map extends from middle to periphery.", + "size": "Semantic map covers most of the image, with varying line thicknesses.", + "trend_shape": "Complex semantic map with branching patterns, curvilinear shapes, and focal points.", + "background": "Shortened Sentence:\nAbbreviated details preserved." + }, + { + "image": "XCAD/training/annotations/08449_36.png", + "caption": "Semantic GT map of arterial structures in X-ray coronary angiography; XCAD dataset; Central map dominates image, with clear margins; Semantic map matches image resolution, capturing fine curvilinear details; Complex, curvilinear arterial structures with varying thickness and curviness, including branching and loops suggestive of coronary anatomy;", + "overview": "Semantic GT map of arterial structures in X-ray coronary angiography.", + "dataset": "XCAD dataset", + "location": "Central map dominates image, with clear margins.", + "size": "Semantic map matches image resolution, capturing fine curvilinear details.", + "trend_shape": "Complex, curvilinear arterial structures with varying thickness and curviness, including branching and loops suggestive of coronary anatomy." + }, + { + "image": "XCAD/training/annotations/09404_24.png", + "caption": "GT map of an X-ray coronary angiography image, depicting outlined coronary arteries; XCAD dataset; Semantic map occupies image center, with balanced left and right distribution; Large semantic map covers significant canvas area; Curvilinear objects in the semantic map meander like coronary artery pathways, branching with varying thickness and tapering towards ends;", + "overview": "GT map of an X-ray coronary angiography image, depicting outlined coronary arteries.", + "dataset": "XCAD dataset", + "location": "Semantic map occupies image center, with balanced left and right distribution.", + "size": "Large semantic map covers significant canvas area.", + "trend_shape": "Curvilinear objects in the semantic map meander like coronary artery pathways, branching with varying thickness and tapering towards ends." + }, + { + "image": "XCAD/training/annotations/09691_30.png", + "caption": "Curvilinear map of coronary arteries in X-ray angiography; XCAD dataset; Centrally oriented semantic map covers majority of image space, skewed left; Semantic map varies in size, with a thick, principal curve branching into finer ones; Semantic map resembles a tree-like vascular pattern with branching and converging lines;", + "overview": "Curvilinear map of coronary arteries in X-ray angiography.", + "dataset": "XCAD dataset", + "location": "Centrally oriented semantic map covers majority of image space, skewed left.", + "size": "Semantic map varies in size, with a thick, principal curve branching into finer ones.", + "trend_shape": "Semantic map resembles a tree-like vascular pattern with branching and converging lines." + }, + { + "image": "XCAD/training/annotations/09790_25.png", + "caption": "High-contrast arterial map from XCAD's X-ray angiography GT; XCAD dataset; Central semantic map with density decreasing towards image bottom and left; Curvilinear structures in large semantic map dominate image, leaving narrow periphery margins; Semantic map trend: vertical with branching patterns resembling curved blood vessels of varying diameters;", + "overview": "High-contrast arterial map from XCAD's X-ray angiography GT.", + "dataset": "XCAD dataset", + "location": "Central semantic map with density decreasing towards image bottom and left.", + "size": "Curvilinear structures in large semantic map dominate image, leaving narrow periphery margins.", + "trend_shape": "Semantic map trend: vertical with branching patterns resembling curved blood vessels of varying diameters." + }, + { + "image": "XCAD/training/annotations/09892_30.png", + "caption": "GT coronary artery map from X-ray angiography; XCAD dataset; Central black semantic map dominates image; Map size exceeds image, with edges cut off; Curvilinear structures resembling arterial branches trend from top left to bottom right, with varying curvature, bifurcations, and vessel thickness;", + "overview": "GT coronary artery map from X-ray angiography", + "dataset": "XCAD dataset", + "location": "Central black semantic map dominates image.", + "size": "Map size exceeds image, with edges cut off.", + "trend_shape": "Curvilinear structures resembling arterial branches trend from top left to bottom right, with varying curvature, bifurcations, and vessel thickness.", + "background": "Abbreviated sentence: Key details preserved." + }, + { + "image": "XCAD/training/annotations/10538_45.png", + "caption": "X-ray coronary angiography GT map of curvilinear structures; XCAD dataset; Central semantic map occupies most image space, isolated from borders; Large semantic map with curvilinear structures branching extensively; Curvilinear semantic map resembles arterial vessels, featuring smooth, interconnected lines with tapering widths;", + "overview": "X-ray coronary angiography GT map of curvilinear structures.", + "dataset": "XCAD dataset", + "location": "Central semantic map occupies most image space, isolated from borders.", + "size": "Large semantic map with curvilinear structures branching extensively.", + "trend_shape": "Curvilinear semantic map resembles arterial vessels, featuring smooth, interconnected lines with tapering widths." + }, + { + "image": "XCAD/training/annotations/10876_24.png", + "caption": "GT-tagged white-on-black semantic map of an X-ray coronary angiography's arterial structure; XCAD dataset; Centered semantic map dominates image with sharp contrast; Semantic map fills nearly entire image, maximizing space while clearly delineating arteries; Semantic map resembles a coronary artery system, with varying line thickness indicating arterial widths;", + "overview": "GT-tagged white-on-black semantic map of an X-ray coronary angiography's arterial structure.", + "dataset": "XCAD dataset", + "location": "Centered semantic map dominates image with sharp contrast.", + "size": "Semantic map fills nearly entire image, maximizing space while clearly delineating arteries.", + "trend_shape": "Semantic map resembles a coronary artery system, with varying line thickness indicating arterial widths." + }, + { + "image": "XCAD/training/annotations/10923_31.png", + "caption": "Coronary artery semantic map (GT) from X-ray angiography; XCAD dataset; Central black background, majority image space; Large size, densely packed curved objects in center; Curvilinear tree-like structures resemble blood vessels, branching out from a central stem;", + "overview": "Coronary artery semantic map (GT) from X-ray angiography.", + "dataset": "XCAD dataset", + "location": "Central black background, majority image space.", + "size": "Large size, densely packed curved objects in center.", + "trend_shape": "Curvilinear tree-like structures resemble blood vessels, branching out from a central stem.", + "background": "Abbreviated sentence:\n\nKey details preserved." + }, + { + "image": "XCAD/training/annotations/11104_36.png", + "caption": "BW semantic map (GT) of vascular structure in X-ray coronary angiography image; XCAD dataset; Central semantic map with clear margins; The semantic map occupies the majority of the image; Curvilinear coronary artery network, branching from thick main vessels to finer outer vessels;", + "overview": "BW semantic map (GT) of vascular structure in X-ray coronary angiography image.", + "dataset": "XCAD dataset", + "location": "Central semantic map with clear margins.", + "size": "The semantic map occupies the majority of the image.", + "trend_shape": "Curvilinear coronary artery network, branching from thick main vessels to finer outer vessels." + }, + { + "image": "XCAD/training/annotations/11710_17.png", + "caption": "BW semantic map (GT) of coronary arteries from X-ray angiography; XCAD dataset; Central coronary artery map on black; Semantic map roughly covers image, but exact size unspecified; Curvilinear semantic map resembles coronary arterial tree with primary and branching vessels;", + "overview": "BW semantic map (GT) of coronary arteries from X-ray angiography.", + "dataset": "XCAD dataset", + "location": "Central coronary artery map on black.", + "size": "Semantic map roughly covers image, but exact size unspecified.", + "trend_shape": "Curvilinear semantic map resembles coronary arterial tree with primary and branching vessels." + }, + { + "image": "XCAD/training/annotations/11970_24.png", + "caption": "Map of coronary artery curvatures from angiography; XCAD dataset; Centered against black background; Nearly full-height and wide; Semantic map depicts continuous curvilinear paths of coronary arteries with decreasing width at bifurcations, resembling a vascular tree;", + "overview": "Map of coronary artery curvatures from angiography.", + "dataset": "XCAD dataset", + "location": "Centered against black background.", + "size": "Nearly full-height and wide.", + "trend_shape": "Semantic map depicts continuous curvilinear paths of coronary arteries with decreasing width at bifurcations, resembling a vascular tree.", + "background": "Sentence to shorten:\n> The global outbreak of the COVID-19 pandemic, along with its associated political and economic uncertainty, has created significant challenges for businesses worldwide.\n\nOptimal abbreviated sentence:\n> COVID-19 pandemic creates global business challenges." + }, + { + "image": "XCAD/training/annotations/12416_22.png", + "caption": "Semantic map for curvilinear structure delineation; XCAD dataset; Central semantic map extends vertically, centered and skewed left; Semantic map occupies most of the image, with variable width tapering at curvilinear structure ends; Curving lines on semantic map depict coronary arteries, sinuous with junctions and bifurcations;", + "overview": "Semantic map for curvilinear structure delineation.", + "dataset": "XCAD dataset", + "location": "Central semantic map extends vertically, centered and skewed left.", + "size": "Semantic map occupies most of the image, with variable width tapering at curvilinear structure ends.", + "trend_shape": "Curving lines on semantic map depict coronary arteries, sinuous with junctions and bifurcations." + }, + { + "image": "XCAD/training/annotations/12522_29.png", + "caption": "Monochrome GT map shows branching structure of coronary angiography; XCAD dataset; Semantic map dominates the image frame; Semantic map nearly fills image frame, indicating large-scale depiction; Interconnected curvilinear structures radiate from a central trunk, resembling coronary arteries with varied vessel size and flow;", + "overview": "Monochrome GT map shows branching structure of coronary angiography.", + "dataset": "XCAD dataset", + "location": "Semantic map dominates the image frame.", + "size": "Semantic map nearly fills image frame, indicating large-scale depiction.", + "trend_shape": "Interconnected curvilinear structures radiate from a central trunk, resembling coronary arteries with varied vessel size and flow." + }, + { + "image": "XCAD/training/annotations/12963_27.png", + "caption": "Coronary angiography GT from XCAD; XCAD dataset; Central semantic map depicts curvilinear network; Semantic map large compared to image frame; Semantic map branching resembles arterial vasculature, with elongated, tapering shapes mirroring coronary arteries;", + "overview": "Coronary angiography GT from XCAD.", + "dataset": "XCAD dataset", + "location": "Central semantic map depicts curvilinear network.", + "size": "Semantic map large compared to image frame.", + "trend_shape": "Semantic map branching resembles arterial vasculature, with elongated, tapering shapes mirroring coronary arteries." + }, + { + "image": "XCAD/training/annotations/13011_18.png", + "caption": "Black background with white curvilinear structures (vasculature) in X-ray coronary angiography GT; XCAD dataset; Central semantic map dominates image; Semantic map varies in line thickness, covering a significant portion of the image; Semantic map resembles tree-like vascular system with varying curvature and arterial bifurcations;", + "overview": "Black background with white curvilinear structures (vasculature) in X-ray coronary angiography GT.", + "dataset": "XCAD dataset", + "location": "Central semantic map dominates image.", + "size": "Semantic map varies in line thickness, covering a significant portion of the image.", + "trend_shape": "Semantic map resembles tree-like vascular system with varying curvature and arterial bifurcations." + }, + { + "image": "XCAD/training/annotations/13103_32.png", + "caption": "Coronary artery map from X-ray angiography; XCAD dataset; Central semantic map with upper concentration; Large semantic map with detailed branching structures; Tree-like semantic map with branching segments radiating from a central trunk;", + "overview": "Coronary artery map from X-ray angiography.", + "dataset": "XCAD dataset", + "location": "Central semantic map with upper concentration", + "size": "Large semantic map with detailed branching structures.", + "trend_shape": "Tree-like semantic map with branching segments radiating from a central trunk." + }, + { + "image": "XCAD/training/annotations/13704_16.png", + "caption": "Semantic map GT of curvilinear structure (arteries) in X-ray coronary angiography image; XCAD dataset; Central image map, no distractions; Semantic map dominates image, with lines of varied width and completeness; Semantic map exhibits sinuous arterial-like pattern with branching and tapering;", + "overview": "Semantic map GT of curvilinear structure (arteries) in X-ray coronary angiography image.", + "dataset": "XCAD dataset", + "location": "Central image map, no distractions.", + "size": "Semantic map dominates image, with lines of varied width and completeness.", + "trend_shape": "Semantic map exhibits sinuous arterial-like pattern with branching and tapering." + }, + { + "image": "XCAD/training/annotations/13902_16.png", + "caption": "Semantic coronary artery GT map in white-on-black; XCAD dataset; Central semantic map fills most of image; Semantic map is large relative to image, with varying thickness in curvilinear structures suggesting major coronary arteries and branches; Complex, branching coronary artery system emanates top left, curves bottom right, with smaller branches diverging smoothly;", + "overview": "Semantic coronary artery GT map in white-on-black.", + "dataset": "XCAD dataset", + "location": "Central semantic map fills most of image.", + "size": "Semantic map is large relative to image, with varying thickness in curvilinear structures suggesting major coronary arteries and branches.", + "trend_shape": "Complex, branching coronary artery system emanates top left, curves bottom right, with smaller branches diverging smoothly." + }, + { + "image": "XCAD/training/annotations/14356_27.png", + "caption": "Coronary artery GT map from X-ray angiography; XCAD dataset; Central semantic map, clear boundaries, black background; Semantic map structures vary in width and length, mimicking coronary artery size variation; Curvilinear semantic map resembles coronary vessel anatomy with smooth arterial lines, varying curvatures, and branching angles;", + "overview": "Coronary artery GT map from X-ray angiography.", + "dataset": "XCAD dataset", + "location": "Central semantic map, clear boundaries, black background.", + "size": "Semantic map structures vary in width and length, mimicking coronary artery size variation.", + "trend_shape": "Curvilinear semantic map resembles coronary vessel anatomy with smooth arterial lines, varying curvatures, and branching angles." + }, + { + "image": "XCAD/training/annotations/14717_23.png", + "caption": "Monochrome semantic map of X-ray coronary angiography ground truth; XCAD dataset; Central semantic map extends top-left to bottom-right, displaced toward top-right and bottom-left edges; Large semantic map with curvilinear structures covers significant image area; Semantic map's complex network of branching paths mimics human coronary arteries' curvature and width variability;", + "overview": "Monochrome semantic map of X-ray coronary angiography ground truth.", + "dataset": "XCAD dataset", + "location": "Central semantic map extends top-left to bottom-right, displaced toward top-right and bottom-left edges.", + "size": "Large semantic map with curvilinear structures covers significant image area.", + "trend_shape": "Semantic map's complex network of branching paths mimics human coronary arteries' curvature and width variability." + }, + { + "image": "XCAD/training/annotations/14803_37.png", + "caption": "Black and white image shows coronary arteries from X-ray angiography; XCAD dataset; Semantic map covers most of the image within its bounds; 500x500 pixel semantic map with prominent coronary artery visualization; Complex semantic map reflects coronary artery branching and curvature, simulating anatomic variations;", + "overview": "Black and white image shows coronary arteries from X-ray angiography.", + "dataset": "XCAD dataset", + "location": "Semantic map covers most of the image within its bounds.", + "size": "500x500 pixel semantic map with prominent coronary artery visualization.", + "trend_shape": "Complex semantic map reflects coronary artery branching and curvature, simulating anatomic variations." + }, + { + "image": "XCAD/training/annotations/15534_41.png", + "caption": "GT X-ray angiography showing delineated blood vessels on black background; XCAD dataset; Semantic map dominates the image; The large semantic map extends across the image, leaving a margin around the edges; Semantic map shows branching vessel structures with curved paths, representing the coronary arterial system;", + "overview": "GT X-ray angiography showing delineated blood vessels on black background", + "dataset": "XCAD dataset", + "location": "Semantic map dominates the image.", + "size": "The large semantic map extends across the image, leaving a margin around the edges.", + "trend_shape": "Semantic map shows branching vessel structures with curved paths, representing the coronary arterial system." + }, + { + "image": "XCAD/training/annotations/15613_15.png", + "caption": "Vascular map (GT) for X-ray coronary angiography; XCAD dataset; Central semantic map with surrounding background margin; Medium-sized semantic map, vertical orientation; Curvilinear coronary arteries branch and curve, with a main vessel extending downward and curving right, with smaller branches extending rightward and downward;", + "overview": "Vascular map (GT) for X-ray coronary angiography", + "dataset": "XCAD dataset", + "location": "Central semantic map with surrounding background margin.", + "size": "Medium-sized semantic map, vertical orientation.", + "trend_shape": "Curvilinear coronary arteries branch and curve, with a main vessel extending downward and curving right, with smaller branches extending rightward and downward." + }, + { + "image": "XCAD/training/annotations/15664_22.png", + "caption": "Monochromatic vascular map representing GT for machine learning; XCAD dataset; Semantic map: central and left; marginal presence on right; Semantic map with variable thickness curvilinear structures (fine to thick branches) covering 60% of image; Curvilinear objects in the map have a branching architecture, mimicking coronary arteries;", + "overview": "Monochromatic vascular map representing GT for machine learning.", + "dataset": "XCAD dataset", + "location": "Semantic map: central and left; marginal presence on right.", + "size": "Semantic map with variable thickness curvilinear structures (fine to thick branches) covering 60% of image.", + "trend_shape": "Curvilinear objects in the map have a branching architecture, mimicking coronary arteries." + }, + { + "image": "XCAD/training/annotations/15961_37.png", + "caption": "Black background image shows white curvilinear GT of coronary arteries from angiography; XCAD dataset; Central semantic map fills most of frame; Large semantic map with curvilinear structures of varying size; Semantic map resembles coronary arteries' branching and winding patterns;", + "overview": "Black background image shows white curvilinear GT of coronary arteries from angiography.", + "dataset": "XCAD dataset", + "location": "Central semantic map fills most of frame.", + "size": "Large semantic map with curvilinear structures of varying size.", + "trend_shape": "Semantic map resembles coronary arteries' branching and winding patterns." + }, + { + "image": "XCAD/training/annotations/17025_24.png", + "caption": "High-contrast, monochromatic semantic map delineating coronary arteries from X-ray coronary angiography; XCAD dataset; Black-backed semantic map occupies image's center top; Semantic map fills most of the image frame; Semantic map shows complex curvilinear vascular network with varied curvature and branching patterns, indicating major coronary arteries with bifurcations and smaller branches;", + "overview": "High-contrast, monochromatic semantic map delineating coronary arteries from X-ray coronary angiography.", + "dataset": "XCAD dataset", + "location": "Black-backed semantic map occupies image's center top.", + "size": "Semantic map fills most of the image frame.", + "trend_shape": "Semantic map shows complex curvilinear vascular network with varied curvature and branching patterns, indicating major coronary arteries with bifurcations and smaller branches.", + "background": "The key details from the provided context are missing, so I cannot extract the optimal abbreviated sentence." + }, + { + "image": "XCAD/training/annotations/17906_30.png", + "caption": "GT: Black background with white curvilinear arterial networks; XCAD dataset; Centered semantic map dominates frame; Semantic map spans 3/4 image height, indicating high-resolution capture; Semantic map vessels show branching, sinuous pattern resembling coronary arteries with varying widths and curvatures;", + "overview": "GT: Black background with white curvilinear arterial networks.", + "dataset": "XCAD dataset", + "location": "Centered semantic map dominates frame.", + "size": "Semantic map spans 3/4 image height, indicating high-resolution capture.", + "trend_shape": "Semantic map vessels show branching, sinuous pattern resembling coronary arteries with varying widths and curvatures." + }, + { + "image": "XCAD/training/annotations/18095_29.png", + "caption": "Semantic map of high-contrast coronary artery on black background (GT); XCAD dataset; Curvilinear structures occupy central and left image, with main artery curving left and branching middle; Semantic map moderately large, variable curvature in main artery, tapering branches; Sinuous semantic map with arc-like main artery and branches featuring complex, curvilinear branching patterns diminishing in caliber as they bifurcate;", + "overview": "Semantic map of high-contrast coronary artery on black background (GT).", + "dataset": "XCAD dataset", + "location": "Curvilinear structures occupy central and left image, with main artery curving left and branching middle.", + "size": "Semantic map moderately large, variable curvature in main artery, tapering branches.", + "trend_shape": "Sinuous semantic map with arc-like main artery and branches featuring complex, curvilinear branching patterns diminishing in caliber as they bifurcate.", + "background": "Abbreviated sentence:\n\nKey details preserved." + }, + { + "image": "XCAD/training/annotations/18097_29.png", + "caption": "GT: Arterial structure map from coronary angiography; XCAD dataset; Central map dominates image with sharp contrast on black background; Semantic map fills image frame with arteries of various widths; Curvilinear semantic map with sinuous, bifurcating branches resembling arterial vessels and a prominent main vessel with secondary branches at acute and obtuse angles, creating a complex vascular structure;", + "overview": "GT: Arterial structure map from coronary angiography.", + "dataset": "XCAD dataset", + "location": "Central map dominates image with sharp contrast on black background.", + "size": "Semantic map fills image frame with arteries of various widths.", + "trend_shape": "Curvilinear semantic map with sinuous, bifurcating branches resembling arterial vessels and a prominent main vessel with secondary branches at acute and obtuse angles, creating a complex vascular structure." + }, + { + "image": "XCAD/training/annotations/18139_23.png", + "caption": "White curvilinear structures (GT) on black for medical image analysis; XCAD dataset; Central semantic map fills most of the image; Extensive semantic map covers most image areas with varying line thickness; Semantic map resembles flowing, interconnected lines mimicking coronary artery anatomy;", + "overview": "White curvilinear structures (GT) on black for medical image analysis.", + "dataset": "XCAD dataset", + "location": "Central semantic map fills most of the image.", + "size": "Extensive semantic map covers most image areas with varying line thickness.", + "trend_shape": "Semantic map resembles flowing, interconnected lines mimicking coronary artery anatomy.", + "background": "Abbreviated sentence: Key details preserved." + }, + { + "image": "XCAD/training/annotations/18232_26.png", + "caption": "Monochrome semantic map extracted from X-ray coronary angiography; XCAD dataset; Semantic map centrally placed, highlighted by black background; Intricate, variable-width lines on black background resemble coronary arteries; Semantic map's pattern mimics coronary arteries' branching and flow;", + "overview": "Monochrome semantic map extracted from X-ray coronary angiography.", + "dataset": "XCAD dataset", + "location": "Semantic map centrally placed, highlighted by black background.", + "size": "Intricate, variable-width lines on black background resemble coronary arteries.", + "trend_shape": "Semantic map's pattern mimics coronary arteries' branching and flow." + }, + { + "image": "XCAD/training/annotations/18298_38.png", + "caption": "Curvilinear structure semantic map; XCAD dataset; Diagonal map in image center, branches mostly below; Medium-thickness semantic map with multiple curves and branching, showing a complex network; Sinuous semantic map resembles a vascular tree, irregular in shape with multiple branches and divergences;", + "overview": "Curvilinear structure semantic map.", + "dataset": "XCAD dataset", + "location": "Diagonal map in image center, branches mostly below.", + "size": "Medium-thickness semantic map with multiple curves and branching, showing a complex network.", + "trend_shape": "Sinuous semantic map resembles a vascular tree, irregular in shape with multiple branches and divergences." + }, + { + "image": "XCAD/training/annotations/18476_49.png", + "caption": "Monochromatic semantic map (GT) shows structure of curvilinear objects; XCAD dataset; Semantic map centrally located in image on black background; The semantic map is medium-sized with varying line thicknesses for vessel calibers; Semantic map's trend resembles arterial branches with smooth curves, no sharp angles, like natural vessels;", + "overview": "Monochromatic semantic map (GT) shows structure of curvilinear objects.", + "dataset": "XCAD dataset", + "location": "Semantic map centrally located in image on black background.", + "size": "The semantic map is medium-sized with varying line thicknesses for vessel calibers.", + "trend_shape": "Semantic map's trend resembles arterial branches with smooth curves, no sharp angles, like natural vessels." + }, + { + "image": "XCAD/training/annotations/18552_23.png", + "caption": "Curvilinear structures (cor. arteries) GT map from X-ray angiography; XCAD dataset; Semantic map: main structures extend top left to bottom right; Large semantic map covers significant image area with varying curvilinear thickness; Tree-like branching of smooth, tapering lines in semantic map;", + "overview": "Curvilinear structures (cor. arteries) GT map from X-ray angiography.", + "dataset": "XCAD dataset", + "location": "Semantic map: main structures extend top left to bottom right.", + "size": "Large semantic map covers significant image area with varying curvilinear thickness.", + "trend_shape": "Tree-like branching of smooth, tapering lines in semantic map.", + "background": "Abbreviated sentence: The details are unknown." + }, + { + "image": "XCAD/training/annotations/18597_47.png", + "caption": "This is a GT semantic map for an X-ray coronary angiography image; XCAD dataset; Central semantic map covers most image area; Vast semantic map covers almost the entire image field; Semantic map resembles vascular structures, featuring bifurcations and curvilinear lines representing coronary arteries;", + "overview": "This is a GT semantic map for an X-ray coronary angiography image.", + "dataset": "XCAD dataset", + "location": "Central semantic map covers most image area.", + "size": "Vast semantic map covers almost the entire image field.", + "trend_shape": "Semantic map resembles vascular structures, featuring bifurcations and curvilinear lines representing coronary arteries." + }, + { + "image": "XCAD/training/annotations/18608_34.png", + "caption": "B/W semantic GT map for curvilinear coronary angiography structures; XCAD dataset; Central semantic map in upper two-thirds of image frame; Semantic map outlines structures with background margin; Semantic map follows coronary artery pathways, branching into curved segments of varying thickness, reflecting complex vascular anatomy;", + "overview": "B/W semantic GT map for curvilinear coronary angiography structures", + "dataset": "XCAD dataset", + "location": "Central semantic map in upper two-thirds of image frame.", + "size": "Semantic map outlines structures with background margin.", + "trend_shape": "Semantic map follows coronary artery pathways, branching into curved segments of varying thickness, reflecting complex vascular anatomy." + }, + { + "image": "XCAD/training/annotations/18671_41.png", + "caption": "GT semantic map of curvilinear vascular-like structures on black background; XCAD dataset; Semantic map dominates the image center, extending to the lower right; Large semantic map covers most of image canvas; Vertical semantic map with branches and curving lines like coronary arteries;", + "overview": "GT semantic map of curvilinear vascular-like structures on black background", + "dataset": "XCAD dataset", + "location": "Semantic map dominates the image center, extending to the lower right.", + "size": "Large semantic map covers most of image canvas.", + "trend_shape": "Vertical semantic map with branches and curving lines like coronary arteries." + }, + { + "image": "XCAD/test/images/00242_44.png", + "caption": "Monochromatic X-ray image displaying contrast-filled vascular structures; XCAD dataset; Central area spanning from the top left to the lower right section; Variable size, with the largest vessels approximately 2-4 mm in width; Complex, intertwining serpentine and branching structures with smooth curves; Homogeneous, translucent grey backdrop with low contrast;", + "overview": "Monochromatic X-ray image displaying contrast-filled vascular structures; ", + "dataset": "XCAD dataset; ", + "location": "Central area spanning from the top left to the lower right section; ", + "size": "Variable size, with the largest vessels approximately 2-4 mm in width; ", + "trend_shape": "Complex, intertwining serpentine and branching structures with smooth curves; ", + "background": "Homogeneous, translucent grey backdrop with low contrast." + }, + { + "image": "XCAD/test/images/00656_38.png", + "caption": "Curvilinear structures visible on monochromatic X-ray image; XCAD dataset; Coronary angiography: thoracic arteries delineated; Angiography diameter: 1-4 mm; Angiography shows a tortuous vascular network with bifurcations;", + "overview": "Curvilinear structures visible on monochromatic X-ray image.", + "dataset": "XCAD dataset", + "location": "Coronary angiography: thoracic arteries delineated.", + "size": "Angiography diameter: 1-4 mm.", + "trend_shape": "Angiography shows a tortuous vascular network with bifurcations.", + "background": "Gray background with soft tissue shadows." + }, + { + "image": "XCAD/test/images/00782_41.png", + "caption": "Vascular structures with high contrast in black-and-white image; XCAD dataset; Coronary angiography occupies most of the image's middle third; Diameter varies from 2 to 5 mm; Vessel branches into curvilinear structures with smooth contours and varied angles;", + "overview": "Vascular structures with high contrast in black-and-white image", + "dataset": "XCAD dataset", + "location": "Coronary angiography occupies most of the image's middle third.", + "size": "Diameter varies from 2 to 5 mm", + "trend_shape": "Vessel branches into curvilinear structures with smooth contours and varied angles.", + "background": "Gray, grainy background." + }, + { + "image": "XCAD/training/images/10947_46.png", + "caption": "X-ray image displays branching curvilinear structures; XCAD dataset; Central coronary angiography in mid-lower image region; Coronary angiography shows primary vessel ~3-4 mm, branching into smaller vessels ~1-2 mm; Tortuous vascular network with curvilinear main vessel and diverging secondary branches;", + "overview": "X-ray image displays branching curvilinear structures.", + "dataset": "XCAD dataset", + "location": "Central coronary angiography in mid-lower image region.", + "size": "Coronary angiography shows primary vessel ~3-4 mm, branching into smaller vessels ~1-2 mm.", + "trend_shape": "Tortuous vascular network with curvilinear main vessel and diverging secondary branches.", + "background": "Dark gray, homogeneous background with minimal noise and only vascular structures visible." + }, + { + "image": "XCAD/training/images/11104_36.png", + "caption": "X-ray image of vascular structures; XCAD dataset; Left-predominant, centrally located coronary angiography; Angiography depicts a network of luminal structures with varying calibers from 1-4 mm; Tortuous coronary artery with branching and bifurcations;", + "overview": "X-ray image of vascular structures.", + "dataset": "XCAD dataset", + "location": "Left-predominant, centrally located coronary angiography.", + "size": "Angiography depicts a network of luminal structures with varying calibers from 1-4 mm.", + "trend_shape": "Tortuous coronary artery with branching and bifurcations.", + "background": "Homogenous gray background with no distinct features." + }, + { + "image": "XCAD/training/images/11970_24.png", + "caption": "Black and white vascular X-ray; XCAD dataset; Central upper image region; Vessel comprises ~1/4 image width, with varying branch sizes; Main coronary artery sinuously branches multidirectionally;", + "overview": "Black and white vascular X-ray.", + "dataset": "XCAD dataset", + "location": "Central upper image region.", + "size": "Vessel comprises ~1/4 image width, with varying branch sizes.", + "trend_shape": "Main coronary artery sinuously branches multidirectionally.", + "background": "Homogeneous, low-contrast grayscale tones with vasculature." + }, + { + "image": "XCAD/training/images/12416_22.png", + "caption": "Monochrome X-ray: High-contrast, curvilinear structures on low-contrast backdrop; XCAD dataset; Central portion dominates mid-axis, extending upper half; Varies in thickness (2-4 mm) with multiple branches; Smooth, curvy linear arteries with tree-like bifurcations;", + "overview": "Monochrome X-ray: High-contrast, curvilinear structures on low-contrast backdrop.", + "dataset": "XCAD dataset", + "location": "Central portion dominates mid-axis, extending upper half.", + "size": "Varies in thickness (2-4 mm) with multiple branches.", + "trend_shape": "Smooth, curvy linear arteries with tree-like bifurcations.", + "background": "Grainy grey background with shadowy outlines." + }, + { + "image": "XCAD/training/images/12963_27.png", + "caption": "Contrast-filled vascular structures in X-ray; XCAD dataset; Central coronary angiography: main structures vertical, branching outwards; Coronary angiography shows varying vessel calibers, from thicker central arteries to finer peripherals; Vertical coronary angiography with serpentine branches extending horizontally and vertically;", + "overview": "Contrast-filled vascular structures in X-ray.", + "dataset": "XCAD dataset", + "location": "Central coronary angiography: main structures vertical, branching outwards.", + "size": "Coronary angiography shows varying vessel calibers, from thicker central arteries to finer peripherals.", + "trend_shape": "Vertical coronary angiography with serpentine branches extending horizontally and vertically.", + "background": "Dark background contrasts, highlighting vascular structures." + }, + { + "image": "XCAD/training/images/13917_45.png", + "caption": "Monochrome image of branching curvilinear structures; XCAD dataset; Coronary angiography, central, prominent, occupies most of the visual field; Coronary vessels vary in size, some robust, others thinning with branching; Tortuous vessels branch and taper from the central cluster;", + "overview": "Monochrome image of branching curvilinear structures.", + "dataset": "XCAD dataset", + "location": "Coronary angiography, central, prominent, occupies most of the visual field.", + "size": "Coronary vessels vary in size, some robust, others thinning with branching.", + "trend_shape": "Tortuous vessels branch and taper from the central cluster.", + "background": "Uniform grey background with no features." + }, + { + "image": "XCAD/training/images/14803_37.png", + "caption": "High-contrast vascular image with monochromatic X-rays; XCAD dataset; Coronary angiogram focuses on heart's left side; Vessel size varies widely, covering a significant image area; Tortuous coronary arteries descend diagonally, curve, and radiate outward;", + "overview": "High-contrast vascular image with monochromatic X-rays.", + "dataset": "XCAD dataset", + "location": "Coronary angiogram focuses on heart's left side.", + "size": "Vessel size varies widely, covering a significant image area.", + "trend_shape": "Tortuous coronary arteries descend diagonally, curve, and radiate outward.", + "background": "Homogeneous, dark grayscale background with minimal noise/details." + }, + { + "image": "XCAD/training/images/18232_26.png", + "caption": "X-ray image of filled vascular structures; XCAD dataset; Coronary angiography is mostly central, extending left-lower quadrant; Vessel diameters range from 1 to 5 mm, with varying widths; Tortuous coronary pathway with smooth contours;", + "overview": "X-ray image of filled vascular structures.", + "dataset": "XCAD dataset", + "location": "Coronary angiography is mostly central, extending left-lower quadrant.", + "size": "Vessel diameters range from 1 to 5 mm, with varying widths.", + "trend_shape": "Tortuous coronary pathway with smooth contours.", + "background": "Gray background with soft shadows." + }, + { + "image": "XCAD/training/annotations/00087_33.png", + "caption": "This is a high-contrast semantic map or ground truth (GT) of coronary arteries; from the XCAD dataset; centrally located against a uniform black background; covering a majority of the image with dimensions approximately equal to the image size; featuring curvilinear, branching structures resembling arteries with varying widths and smooth, curving paths;", + "overview": "This is a high-contrast semantic map or ground truth (GT) of coronary arteries;", + "dataset": "from the XCAD dataset;", + "location": "centrally located against a uniform black background;", + "size": "covering a majority of the image with dimensions approximately equal to the image size;", + "trend_shape": "featuring curvilinear, branching structures resembling arteries with varying widths and smooth, curving paths." + }, + { + "image": "XCAD/training/annotations/00570_24.png", + "caption": "GT semantic map of X-ray coronary angiography, highlighting vasculature; XCAD dataset; Semantic map centers the image, primarily occupying left and center regions; Large semantic map covers much of image area with varying line thickness and spacing; Complex semantic map displays coronary artery system's curves, bifurcations, and shape variations, providing realistic anatomy;", + "overview": "GT semantic map of X-ray coronary angiography, highlighting vasculature.", + "dataset": "XCAD dataset", + "location": "Semantic map centers the image, primarily occupying left and center regions.", + "size": "Large semantic map covers much of image area with varying line thickness and spacing.", + "trend_shape": "Complex semantic map displays coronary artery system's curves, bifurcations, and shape variations, providing realistic anatomy." + }, + { + "image": "XCAD/training/annotations/00897_52.png", + "caption": "High-contrast GT map of curvilinear structures; XCAD dataset; Central semantic map dominates image; Large semantic map with curvilinear features reaching edges; Semantic map displays a vertical trend with branching features, resembling an arterial network of varying curvature and bifurcations;", + "overview": "High-contrast GT map of curvilinear structures.", + "dataset": "XCAD dataset", + "location": "Central semantic map dominates image.", + "size": "Large semantic map with curvilinear features reaching edges.", + "trend_shape": "Semantic map displays a vertical trend with branching features, resembling an arterial network of varying curvature and bifurcations." + }, + { + "image": "XCAD/training/annotations/01169_25.png", + "caption": "White linear coronary artery map on black; XCAD dataset; Central map, clear periphery; Semantic map covers 80% of image area; Semantic map: Curvilinear network of branching coronary arteries with varying curvature and bifurcations;", + "overview": "White linear coronary artery map on black.", + "dataset": "XCAD dataset", + "location": "Central map, clear periphery.", + "size": "Semantic map covers 80% of image area.", + "trend_shape": "Semantic map: Curvilinear network of branching coronary arteries with varying curvature and bifurcations." + }, + { + "image": "XCAD/training/annotations/02006_34.png", + "caption": "Curvilinear coronary artery map (GT); XCAD dataset; Semantic map is central to the image; Expansive semantic map covers most of the image; Semantic map branches like a biological network, with curvilinear paths and varying thickness;", + "overview": "Curvilinear coronary artery map (GT)", + "dataset": "XCAD dataset", + "location": "Semantic map is central to the image.", + "size": "Expansive semantic map covers most of the image.", + "trend_shape": "Semantic map branches like a biological network, with curvilinear paths and varying thickness." + }, + { + "image": "XCAD/training/annotations/03097_27.png", + "caption": "GT black-white semantic coronary artery map from X-ray angiography; XCAD dataset; Central black semantic map dominates image space; Curvilinear structures of varying lengths and fine widths form the semantic map; Complex, branching semantic map with curved central artery tapers smoothly outward;", + "overview": "GT black-white semantic coronary artery map from X-ray angiography.", + "dataset": "XCAD dataset", + "location": "Central black semantic map dominates image space.", + "size": "Curvilinear structures of varying lengths and fine widths form the semantic map.", + "trend_shape": "Complex, branching semantic map with curved central artery tapers smoothly outward." + }, + { + "image": "XCAD/training/annotations/03341_26.png", + "caption": "Arterial structure map from X-ray coronary angiography GT; XCAD dataset; Semantic map centered in image, occupying majority of space, with structures oriented upwards; Curvilinear objects in high contrast on black background, indicating medium to high resolution; Semantic map shows branched arterial pattern with multiple bifurcations and thin, elongated shapes from central trunk, resembling coronary arteries;", + "overview": "Arterial structure map from X-ray coronary angiography GT.", + "dataset": "XCAD dataset", + "location": "Semantic map centered in image, occupying majority of space, with structures oriented upwards.", + "size": "Curvilinear objects in high contrast on black background, indicating medium to high resolution.", + "trend_shape": "Semantic map shows branched arterial pattern with multiple bifurcations and thin, elongated shapes from central trunk, resembling coronary arteries." + }, + { + "image": "XCAD/training/annotations/03744_38.png", + "caption": "Coronary artery curvilinear structure map from X-ray angiography; XCAD dataset; Semantic map in central and left image field; Variable-width semantic map covers most of the image; Sinuous curvilinear structures indicate coronary artery paths with smooth and complex contours;", + "overview": "Coronary artery curvilinear structure map from X-ray angiography.", + "dataset": "XCAD dataset", + "location": "Semantic map in central and left image field.", + "size": "Variable-width semantic map covers most of the image.", + "trend_shape": "Sinuous curvilinear structures indicate coronary artery paths with smooth and complex contours.", + "background": "Shortened sentence:\nKey details preserved" + }, + { + "image": "XCAD/training/annotations/04911_18.png", + "caption": "GT semantic map of coronary artery structures in X-ray angiography; XCAD dataset; Central semantic map dominates image; Semantic map comprehensively covers the image, leaving minimal margins; Semantic map depicts complex branching network simulating coronary arteries, with elongated shapes and varying curvature/bifurcation;", + "overview": "GT semantic map of coronary artery structures in X-ray angiography.", + "dataset": "XCAD dataset", + "location": "Central semantic map dominates image.", + "size": "Semantic map comprehensively covers the image, leaving minimal margins.", + "trend_shape": "Semantic map depicts complex branching network simulating coronary arteries, with elongated shapes and varying curvature/bifurcation." + }, + { + "image": "XCAD/training/annotations/05789_28.png", + "caption": "Simplified, high-contrast semantic map for model-based vasculature research; XCAD dataset; Central semantic map displays curvilinear structures on black background, suggesting cardiovascular vessels; Semantic map size matches X-ray coronary angiography image vasculature scale; Semantic map: dense branching with curvilinear shapes, representing major and minor coronary arteries;", + "overview": "Simplified, high-contrast semantic map for model-based vasculature research.", + "dataset": "XCAD dataset", + "location": "Central semantic map displays curvilinear structures on black background, suggesting cardiovascular vessels.", + "size": "Semantic map size matches X-ray coronary angiography image vasculature scale.", + "trend_shape": "Semantic map: dense branching with curvilinear shapes, representing major and minor coronary arteries." + }, + { + "image": "XCAD/training/annotations/08157_24.png", + "caption": "BW semantic map of coronary artery branches in X-ray angiogram for ground truth analysis; XCAD dataset; Central semantic map extends from top to bottom, branching left and right; Map shows varying vessel calibers, with thicker trunk and tapering branches; Arterial branching mimics coronary circulation with curvilinear flow and bifurcations;", + "overview": "BW semantic map of coronary artery branches in X-ray angiogram for ground truth analysis.", + "dataset": "XCAD dataset", + "location": "Central semantic map extends from top to bottom, branching left and right.", + "size": "Map shows varying vessel calibers, with thicker trunk and tapering branches.", + "trend_shape": "Arterial branching mimics coronary circulation with curvilinear flow and bifurcations." + }, + { + "image": "XCAD/training/annotations/09990_38.png", + "caption": "High-contrast monochromatic GT map of vascular structure from X-ray coronary angiography; XCAD dataset; Central semantic map with main vessels from top-left to bottom-right, dominating the frame; Map size unquantifiable from image alone; appears to occupy most of canvas; Semantic map resembles arterial blood vessels, with thickness indicating main vessels and finer branches;", + "overview": "High-contrast monochromatic GT map of vascular structure from X-ray coronary angiography.", + "dataset": "XCAD dataset", + "location": "Central semantic map with main vessels from top-left to bottom-right, dominating the frame.", + "size": "Map size unquantifiable from image alone; appears to occupy most of canvas.", + "trend_shape": "Semantic map resembles arterial blood vessels, with thickness indicating main vessels and finer branches." + }, + { + "image": "XCAD/training/annotations/10947_46.png", + "caption": "Semantic map of vascular patterns; XCAD dataset; Semantic map occupies center-left, extending upwards; Semantic map spans image with intersecting lines and curves; Vertical curvilinear objects with dense, branching lines form a complex shape with arterial bifurcations and paths;", + "overview": "Semantic map of vascular patterns.", + "dataset": "XCAD dataset", + "location": "Semantic map occupies center-left, extending upwards.", + "size": "Semantic map spans image with intersecting lines and curves.", + "trend_shape": "Vertical curvilinear objects with dense, branching lines form a complex shape with arterial bifurcations and paths.", + "background": "Abbreviated sentence: Key details preserved." + }, + { + "image": "XCAD/training/annotations/12128_42.png", + "caption": "Semantic map of coronary arteries for X-ray coronary angiography study; XCAD dataset; Central semantic map fills most of image, with margins; Curvilinear network varying in thickness, mostly narrow with some widened areas; Arteries in semantic map branch from a curved structure, mimicking natural vascular shapes;", + "overview": "Semantic map of coronary arteries for X-ray coronary angiography study.", + "dataset": "XCAD dataset", + "location": "Central semantic map fills most of image, with margins.", + "size": "Curvilinear network varying in thickness, mostly narrow with some widened areas.", + "trend_shape": "Arteries in semantic map branch from a curved structure, mimicking natural vascular shapes." + }, + { + "image": "XCAD/training/annotations/12568_21.png", + "caption": "B/W image of coronary artery semantic map/GT; XCAD dataset; Central curvilinear structures branch outwards from a common point; Semantic map encompasses substantial image area, with line thickness denoting vessel diameters (1-10 pixels); Semantic map resembles arterial branches with smooth contours and bifurcations;", + "overview": "B/W image of coronary artery semantic map/GT.", + "dataset": "XCAD dataset", + "location": "Central curvilinear structures branch outwards from a common point.", + "size": "Semantic map encompasses substantial image area, with line thickness denoting vessel diameters (1-10 pixels).", + "trend_shape": "Semantic map resembles arterial branches with smooth contours and bifurcations." + }, + { + "image": "XCAD/training/annotations/13917_45.png", + "caption": "Coronary artery semantic map from X-ray angiography; XCAD dataset; Central semantic map features with curvilinear extensions; Semantic map covers moderate portion of image frame; Semantic map follows branching pattern of coronary vasculature with variable curvilinear paths, exhibiting organic complexity;", + "overview": "Coronary artery semantic map from X-ray angiography.", + "dataset": "XCAD dataset", + "location": "Central semantic map features with curvilinear extensions.", + "size": "Semantic map covers moderate portion of image frame.", + "trend_shape": "Semantic map follows branching pattern of coronary vasculature with variable curvilinear paths, exhibiting organic complexity." + }, + { + "image": "XCAD/training/annotations/14764_27.png", + "caption": "Arterial structure semantic map for X-ray angiography, designated as ground truth for image analysis; XCAD dataset; Central semantic map dominates image, showing artery network; Semantic map likely fits standard image dimensions; Semantic map resembles coronary artery patterns, branching and tapering from a common root;", + "overview": "Arterial structure semantic map for X-ray angiography, designated as ground truth for image analysis.", + "dataset": "XCAD dataset", + "location": "Central semantic map dominates image, showing artery network.", + "size": "Semantic map likely fits standard image dimensions.", + "trend_shape": "Semantic map resembles coronary artery patterns, branching and tapering from a common root." + }, + { + "image": "XCAD/training/annotations/15840_29.png", + "caption": "Black and white GT map of coronary arteries, high-contrast background; XCAD dataset; Semantic map is centrally located, with major curvatures concentrated in the upper half and extending downward to the lower left corner; Large semantic map with prominent arteries, providing clear visibility; Coronary artery system map exhibits long, curvy arterial lines with branching patterns reflecting vessel complexity;", + "overview": "Black and white GT map of coronary arteries, high-contrast background.", + "dataset": "XCAD dataset", + "location": "Semantic map is centrally located, with major curvatures concentrated in the upper half and extending downward to the lower left corner.", + "size": "Large semantic map with prominent arteries, providing clear visibility.", + "trend_shape": "Coronary artery system map exhibits long, curvy arterial lines with branching patterns reflecting vessel complexity." + }, + { + "image": "XCAD/training/annotations/16102_35.png", + "caption": "High-contrast black-and-white X-ray coronary angiography semantic map (GT) shows vascular structures against a black background; XCAD dataset; Semantic map: intricate curvilinear network, top-left; Semantic map size varies, with thin lines indicating small vessels and thick lines indicating large arteries or veins; Semantic map resembles a coronary artery network, with branching, intertwined lines;", + "overview": "High-contrast black-and-white X-ray coronary angiography semantic map (GT) shows vascular structures against a black background.", + "dataset": "XCAD dataset", + "location": "Semantic map: intricate curvilinear network, top-left.", + "size": "Semantic map size varies, with thin lines indicating small vessels and thick lines indicating large arteries or veins.", + "trend_shape": "Semantic map resembles a coronary artery network, with branching, intertwined lines." + }, + { + "image": "XCAD/training/annotations/16428_46.png", + "caption": "High-contrast coronary artery semantic map from X-ray angiography; XCAD dataset; Centrally located semantic map on black background; Map nearly fills image height, with varying widths representing coronary artery segments; The sinuous semantic map features curvilinear structures representing complex coronary vasculature anatomy;", + "overview": "High-contrast coronary artery semantic map from X-ray angiography.", + "dataset": "XCAD dataset", + "location": "Centrally located semantic map on black background.", + "size": "Map nearly fills image height, with varying widths representing coronary artery segments.", + "trend_shape": "The sinuous semantic map features curvilinear structures representing complex coronary vasculature anatomy." + }, + { + "image": "XCAD/training/annotations/18489_21.png", + "caption": "Stark, high-contrast semantic map of a coronary artery system; XCAD dataset; Centrally located, arterial structures dominant; Semantic map size is substantial relative to image, with vascular structures exhibiting varied thickness and complexity; Semantic map reveals arterial branching patterns;", + "overview": "Stark, high-contrast semantic map of a coronary artery system.", + "dataset": "XCAD dataset", + "location": "Centrally located, arterial structures dominant.", + "size": "Semantic map size is substantial relative to image, with vascular structures exhibiting varied thickness and complexity.", + "trend_shape": "Semantic map reveals arterial branching patterns." + }, + { + "image": "XCAD/test/images/00256_39.png", + "caption": "X-ray image: branching curvilinear structures in a low-contrast field; XCAD dataset; Coronary angiography in central location, slightly left-aligned; Variable-sized vessels, primary 2-4 mm, branching vessels tapering; Primary vessel ascends leftward with curvilinear arc, secondary branches exhibit curvature and bifurcations;", + "overview": "X-ray image: branching curvilinear structures in a low-contrast field", + "dataset": "XCAD dataset", + "location": "Coronary angiography in central location, slightly left-aligned.", + "size": "Variable-sized vessels, primary 2-4 mm, branching vessels tapering.", + "trend_shape": "Primary vessel ascends leftward with curvilinear arc, secondary branches exhibit curvature and bifurcations.", + "background": "Grainy background with soft tissue shadows." + }, + { + "image": "XCAD/test/images/00986_65.png", + "caption": "Grayscale image of enhanced arteries against faint background; XCAD dataset; Central and upper left: catheter insertion visible; Curvilinear arteries vary in size, larger at origin, tapering with branching; Arterial pathways show serpentine curves and bifurcations, matching coronary anatomy;", + "overview": "Grayscale image of enhanced arteries against faint background.", + "dataset": "XCAD dataset", + "location": "Central and upper left: catheter insertion visible.", + "size": "Curvilinear arteries vary in size, larger at origin, tapering with branching.", + "trend_shape": "Arterial pathways show serpentine curves and bifurcations, matching coronary anatomy.", + "background": "Dark, grayscale background with indistinct features." + }, + { + "image": "XCAD/test/images/01242_29.png", + "caption": "Monochromatic X-ray image of curvilinear structures on grey background; XCAD dataset; Coronary angiography centrally located; Vessel diameter varies; thicker in main, thinner in branches; Curvilinear objects exhibit organic branching: primary artery curves right, secondary branches extend, tertiary vessels arc and diminish;", + "overview": "Monochromatic X-ray image of curvilinear structures on grey background", + "dataset": "XCAD dataset", + "location": "Coronary angiography centrally located.", + "size": "Vessel diameter varies; thicker in main, thinner in branches.", + "trend_shape": "Curvilinear objects exhibit organic branching: primary artery curves right, secondary branches extend, tertiary vessels arc and diminish.", + "background": "Grainy, greyscale backdrop." + }, + { + "image": "XCAD/test/images/01834_33.png", + "caption": "High-contrast grayscale X-ray angiography of coronary vessels; XCAD dataset; Coronary angiography centrally positioned, with main arterial structure branching downwards; Angiography shows dilated proximal and tapered distal vessels with varying caliber; Arterial structure displays curvilinear pathways with smooth and angular deviations, indicating mixed coronary and venous anatomy;", + "overview": "High-contrast grayscale X-ray angiography of coronary vessels", + "dataset": "XCAD dataset", + "location": "Coronary angiography centrally positioned, with main arterial structure branching downwards.", + "size": "Angiography shows dilated proximal and tapered distal vessels with varying caliber.", + "trend_shape": "Arterial structure displays curvilinear pathways with smooth and angular deviations, indicating mixed coronary and venous anatomy.", + "background": "Dark, noise-free background." + }, + { + "image": "XCAD/test/images/02884_26.png", + "caption": "Grayscale, high-contrast X-ray angiography of coronary arteries; XCAD dataset; Coronary angiography dominating image center; Coronary angiography displays arteries ranging from 2-4 mm, branching into smaller vessels; Coronary artery exhibits a sinuous, curved path, bifurcating into arborized branches tracing the cardiac silhouette;", + "overview": "Grayscale, high-contrast X-ray angiography of coronary arteries.", + "dataset": "XCAD dataset", + "location": "Coronary angiography dominating image center.", + "size": "Coronary angiography displays arteries ranging from 2-4 mm, branching into smaller vessels.", + "trend_shape": "Coronary artery exhibits a sinuous, curved path, bifurcating into arborized branches tracing the cardiac silhouette.", + "background": "Dark, homogeneous background contrasts highlighted vasculature." + }, + { + "image": "XCAD/test/images/02997_29.png", + "caption": "X-ray image: contrast-filled curvilinear structures on mottled background; XCAD dataset; Central coronary angiography with primary structures visible; Main vessels: 2-4 mm diameter, branching vessels <1 mm; Tortuous, branching arteries with smooth contours and multiple bifurcations; vessels curve irregularly;", + "overview": "X-ray image: contrast-filled curvilinear structures on mottled background.", + "dataset": "XCAD dataset", + "location": "Central coronary angiography with primary structures visible.", + "size": "Main vessels: 2-4 mm diameter, branching vessels <1 mm.", + "trend_shape": "Tortuous, branching arteries with smooth contours and multiple bifurcations; vessels curve irregularly.", + "background": "Gray density with dark and light shades for texture." + }, + { + "image": "XCAD/test/images/03066_27.png", + "caption": "X-ray image shows contrast-filled curvilinear structures on grayscale background; XCAD dataset; Centralized coronary angiography with branching vessels extending peripherally; Variably sized, origin thick, tapering distally; Angiography shows tortuous vessels resembling tree branches;", + "overview": "X-ray image shows contrast-filled curvilinear structures on grayscale background.", + "dataset": "XCAD dataset", + "location": "Centralized coronary angiography with branching vessels extending peripherally.", + "size": "Variably sized, origin thick, tapering distally.", + "trend_shape": "Angiography shows tortuous vessels resembling tree branches.", + "background": "Grainy grayscale texture lacks features." + }, + { + "image": "XCAD/test/images/03906_20.png", + "caption": "X-ray image: curvilinear structures on uniform background; XCAD dataset; Central coronary angiography dominates the image vertically; Vessel curvature is about 25% of image height; Angiography reveals variable-diameter branching vessels with serpentine, interconnected looping patterns;", + "overview": "X-ray image: curvilinear structures on uniform background.", + "dataset": "XCAD dataset", + "location": "Central coronary angiography dominates the image vertically.", + "size": "Vessel curvature is about 25% of image height.", + "trend_shape": "Angiography reveals variable-diameter branching vessels with serpentine, interconnected looping patterns.", + "background": "Homogeneous background with no discernible features." + }, + { + "image": "XCAD/test/images/03920_21.png", + "caption": "Coronary angiography X-ray image with contrast; XCAD dataset; Coronary angiography shows left and right coronary arterial systems; Coronary artery diameters vary widely (1-5 mm); Tortuous and branching coronary arteries;", + "overview": "Coronary angiography X-ray image with contrast.", + "dataset": "XCAD dataset", + "location": "Coronary angiography shows left and right coronary arterial systems.", + "size": "Coronary artery diameters vary widely (1-5 mm).", + "trend_shape": "Tortuous and branching coronary arteries.", + "background": "Gray background." + }, + { + "image": "XCAD/test/images/04174_22.png", + "caption": "Greyscale X-ray of cardiac arteries; XCAD dataset; Coronary angiography visible in center, with arterial branches extending top left, top right, bottom; Angiography reveals arterial size variation, from fine to thick; Angiography shows tortuous, interconnected curvilinear structures with bifurcations and loops;", + "overview": "Greyscale X-ray of cardiac arteries", + "dataset": "XCAD dataset", + "location": "Coronary angiography visible in center, with arterial branches extending top left, top right, bottom.", + "size": "Angiography reveals arterial size variation, from fine to thick.", + "trend_shape": "Angiography shows tortuous, interconnected curvilinear structures with bifurcations and loops.", + "background": "Mottled gray background contrasts highlighted arterial structures." + }, + { + "image": "XCAD/test/images/05244_37.png", + "caption": "Black and white X-ray image of contrast-enhanced coronary arteries; XCAD dataset; Coronary angiography: main vessel structures oriented upwards; Coronary vessels vary in caliber, primary artery diameter 2-5 mm, branching vessels progressively smaller; Main coronary artery: smooth curves; branching vessels: tortuous, intricate, irregular;", + "overview": "Black and white X-ray image of contrast-enhanced coronary arteries.", + "dataset": "XCAD dataset", + "location": "Coronary angiography: main vessel structures oriented upwards.", + "size": "Coronary vessels vary in caliber, primary artery diameter 2-5 mm, branching vessels progressively smaller.", + "trend_shape": "Main coronary artery: smooth curves; branching vessels: tortuous, intricate, irregular.", + "background": "Uniform, translucent gray background with minimal artifacts." + }, + { + "image": "XCAD/test/images/05874_12.png", + "caption": "Monochrome X-ray of contrast-enhanced coronary arteries; XCAD dataset; Centralized coronary angiogram with vessels radiating from off-center area; Angiography shows vessels varying in size, from arteries to branches; Coronary arteries have a serpentine pattern, with main vessels following broad curves and branches forming complex bends and bifurcations;", + "overview": "Monochrome X-ray of contrast-enhanced coronary arteries", + "dataset": "XCAD dataset", + "location": "Centralized coronary angiogram with vessels radiating from off-center area.", + "size": "Angiography shows vessels varying in size, from arteries to branches.", + "trend_shape": "Coronary arteries have a serpentine pattern, with main vessels following broad curves and branches forming complex bends and bifurcations.", + "background": "Dark, uniform background provides high vessel contrast." + }, + { + "image": "XCAD/test/images/06008_42.png", + "caption": "Curvilinear structures on X-ray; XCAD dataset; Coronary angiography central in image, upper half; Segments vary in size due to orientation or overlap; Tree-like structures with curvilinear branches and bifurcations extend from the center;", + "overview": "Curvilinear structures on X-ray.", + "dataset": "XCAD dataset", + "location": "Coronary angiography central in image, upper half.", + "size": "Segments vary in size due to orientation or overlap.", + "trend_shape": "Tree-like structures with curvilinear branches and bifurcations extend from the center.", + "background": "Homogeneous and dark with minimal noise." + }, + { + "image": "XCAD/test/images/06080_31.png", + "caption": "Monochrome angiography image of coronary arteries with visible structure and branching; XCAD dataset; Coronary angiography is mostly in the image's top-right, with branches spreading outward; Angiography shows arteries varying from large (2-4 mm) to small branches; Tortuous, branching coronary arteries with smooth curves, indicative of normal blood supply to the heart;", + "overview": "Monochrome angiography image of coronary arteries with visible structure and branching.", + "dataset": "XCAD dataset", + "location": "Coronary angiography is mostly in the image's top-right, with branches spreading outward.", + "size": "Angiography shows arteries varying from large (2-4 mm) to small branches.", + "trend_shape": "Tortuous, branching coronary arteries with smooth curves, indicative of normal blood supply to the heart.", + "background": "X-ray imaging's uniform texture enhances vascular structures." + }, + { + "image": "XCAD/test/images/06647_29.png", + "caption": "X-ray vascular contrast image; XCAD dataset; Prominent coronary angiography in upper image half, central and slightly right; Angiography shows vessels of varying calibers, with the main artery measuring about one-fourth the image width, tapering with branching; Arterial structure exhibits sinuous, branched forms with acute to obtuse angles and occasional corkscrew-like tortuosity;", + "overview": "X-ray vascular contrast image.", + "dataset": "XCAD dataset", + "location": "Prominent coronary angiography in upper image half, central and slightly right.", + "size": "Angiography shows vessels of varying calibers, with the main artery measuring about one-fourth the image width, tapering with branching.", + "trend_shape": "Arterial structure exhibits sinuous, branched forms with acute to obtuse angles and occasional corkscrew-like tortuosity.", + "background": "Grainy grey background with soft shadows." + }, + { + "image": "XCAD/training/images/16102_35.png", + "caption": "Monochromatic coronary angiogram; XCAD dataset; Coronary angiography is centrally located in the upper image, with main structures highlighted by contrast; Angiography shows varying vessel sizes (1-5 mm) with possible stenosis; Arteries exhibit a complex curvilinear pattern with branching and curvature; mostly smooth contours, with some irregularities;", + "overview": "Monochromatic coronary angiogram", + "dataset": "XCAD dataset", + "location": "Coronary angiography is centrally located in the upper image, with main structures highlighted by contrast.", + "size": "Angiography shows varying vessel sizes (1-5 mm) with possible stenosis.", + "trend_shape": "Arteries exhibit a complex curvilinear pattern with branching and curvature; mostly smooth contours, with some irregularities.", + "background": "Uniform grainy grayscale background contrasts highlighted vasculature." + }, + { + "image": "XCAD/test/images/07358_29.png", + "caption": "Monochrome coronary angiogram of human heart; XCAD dataset; Central coronary angiography, upper half of image; Coronary arteries range from 2-4 mm in width, branching into smaller vessels; Complex curvilinear coronary artery network with smooth, sinuous paths and bifurcating branches;", + "overview": "Monochrome coronary angiogram of human heart.", + "dataset": "XCAD dataset", + "location": "Central coronary angiography, upper half of image.", + "size": "Coronary arteries range from 2-4 mm in width, branching into smaller vessels.", + "trend_shape": "Complex curvilinear coronary artery network with smooth, sinuous paths and bifurcating branches.", + "background": "Dark background contrasts highlighted vasculature." + }, + { + "image": "XCAD/test/images/07569_21.png", + "caption": "Monochromatic X-ray of curvilinear blood vessels; XCAD dataset; Central curvilinear structures in upper two-thirds, slightly right-biased; Variable thickness, 1-4 mm diameter; Serpentine blood vessels with gradual curves and sharper bends indicate both arterial branches and bifurcations;", + "overview": "Monochromatic X-ray of curvilinear blood vessels.", + "dataset": "XCAD dataset", + "location": "Central curvilinear structures in upper two-thirds, slightly right-biased.", + "size": "Variable thickness, 1-4 mm diameter", + "trend_shape": "Serpentine blood vessels with gradual curves and sharper bends indicate both arterial branches and bifurcations.", + "background": "Grainy grey background with soft shadows." + }, + { + "image": "XCAD/test/images/08797_46.png", + "caption": "X-ray image shows coronary arteries; XCAD dataset; Coronary angiography in image upper half; main arteries horizontal, branching downwards; Artery caliber varies from 2-4 mm to <1 mm with finer branching vessels; Main vessels curve; largest artery arches, branches tortuous with smooth curves and bifurcations, diameter decreases peripherally;", + "overview": "X-ray image shows coronary arteries.", + "dataset": "XCAD dataset", + "location": "Coronary angiography in image upper half; main arteries horizontal, branching downwards.", + "size": "Artery caliber varies from 2-4 mm to <1 mm with finer branching vessels.", + "trend_shape": "Main vessels curve; largest artery arches, branches tortuous with smooth curves and bifurcations, diameter decreases peripherally.", + "background": "Grayscale gradient background with soft tissues and striations." + }, + { + "image": "XCAD/test/images/12241_33.png", + "caption": "Monochromatic X-ray image displaying contrast-enhanced arterial structures; XCAD dataset; Central to the image, predominantly on the left side; Varies from fine to moderate thickness with branching structures; Complex, intertwining curvilinear shapes with a mixture of smooth and tapered trends; Homogeneous, featureless grey background;", + "overview": "Monochromatic X-ray image displaying contrast-enhanced arterial structures; ", + "dataset": "XCAD dataset; ", + "location": "Central to the image, predominantly on the left side; ", + "size": "Varies from fine to moderate thickness with branching structures; ", + "trend_shape": "Complex, intertwining curvilinear shapes with a mixture of smooth and tapered trends; ", + "background": "Homogeneous, featureless grey background." + }, + { + "image": "XCAD/test/images/16028_20.png", + "caption": "Monochrome X-ray of contrast-enhanced vascular structures; XCAD dataset; Coronary angiography visible upper left quadrant, extending center; Angiography shows primary vessel diameter of 2-4 mm with branching vessels <1 mm; Sinuous, arborescent vessels with smooth curves, acute bends, and bifurcations distally;", + "overview": "Monochrome X-ray of contrast-enhanced vascular structures.", + "dataset": "XCAD dataset", + "location": "Coronary angiography visible upper left quadrant, extending center.", + "size": "Angiography shows primary vessel diameter of 2-4 mm with branching vessels <1 mm.", + "trend_shape": "Sinuous, arborescent vessels with smooth curves, acute bends, and bifurcations distally.", + "background": "Uniform background with grayscale tissue density variations." + }, + { + "image": "XCAD/test/images/07769_24.png", + "caption": "Coronary angiogram's monochromatic X-ray image of heart's vasculature; XCAD dataset; Coronary angiography located in upper image half; main artery originates top left, curves towards heart apex; Coronary angiography: large main artery tapers into finer distal branches; Dominant left coronary artery with linear LAD and curled circumflex arteries, exhibiting tortuous tertiary branches;", + "overview": "Coronary angiogram's monochromatic X-ray image of heart's vasculature.", + "dataset": "XCAD dataset", + "location": "Coronary angiography located in upper image half; main artery originates top left, curves towards heart apex.", + "size": "Coronary angiography: large main artery tapers into finer distal branches.", + "trend_shape": "Dominant left coronary artery with linear LAD and curled circumflex arteries, exhibiting tortuous tertiary branches.", + "background": "Opaque gray background enhances angiographic contrast." + }, + { + "image": "XCAD/test/images/11357_13.png", + "caption": "Greyscale fluoroscopic angiogram image of contrast-enhanced coronary arteries; XCAD dataset; Coronary angiography highlights centered coronary arteries with the catheter visible top-middle, extending downward; Coronary angiography shows variable vessel calibers, wider proximally and narrower distally; Coronary angiography shows normal artery anatomy with curves and angulations;", + "overview": "Greyscale fluoroscopic angiogram image of contrast-enhanced coronary arteries.", + "dataset": "XCAD dataset", + "location": "Coronary angiography highlights centered coronary arteries with the catheter visible top-middle, extending downward.", + "size": "Coronary angiography shows variable vessel calibers, wider proximally and narrower distally.", + "trend_shape": "Coronary angiography shows normal artery anatomy with curves and angulations.", + "background": "Dark, uniform background contrasts highlighted vasculature." + }, + { + "image": "XCAD/test/images/16280_32.png", + "caption": "Coronary X-ray image with contrast enhancement; XCAD dataset; Coronary angiography in central-upper right quadrant, focusing on left heart side; Coronary angiography shows branching arteries with varying diameters, some millimeters wide; Coronary angiography shows a complex network of curvilinear structures with vertical primary vessel arborizing into delicate branches;", + "overview": "Coronary X-ray image with contrast enhancement.", + "dataset": "XCAD dataset", + "location": "Coronary angiography in central-upper right quadrant, focusing on left heart side.", + "size": "Coronary angiography shows branching arteries with varying diameters, some millimeters wide.", + "trend_shape": "Coronary angiography shows a complex network of curvilinear structures with vertical primary vessel arborizing into delicate branches.", + "background": "Greyscale field enhances vascular visibility, with minimal detail and soft shadows." + }, + { + "image": "XCAD/test/images/16291_31.png", + "caption": "High-contrast branching structures on monochromatic X-ray image; XCAD dataset; Coronary angiography visible centrally, mostly branching in upper and middle sectors; Vessels vary in size, with thicker mains tapering to finer branches; Curved with smooth bends, tortuous, some acute angles, some parallel with turns;", + "overview": "High-contrast branching structures on monochromatic X-ray image.", + "dataset": "XCAD dataset", + "location": "Coronary angiography visible centrally, mostly branching in upper and middle sectors.", + "size": "Vessels vary in size, with thicker mains tapering to finer branches.", + "trend_shape": "Curved with smooth bends, tortuous, some acute angles, some parallel with turns.", + "background": "Uniform, grey background." + }, + { + "image": "XCAD/test/images/17543_38.png", + "caption": "High-contrast curvilinear structures on monochromatic X-ray; XCAD dataset; Central coronary angiography, predominantly upper half, extending toward the bottom right; Angiography shows varying diameter vessels spanning most of the image; Sinuous vessels branch and curve like a tree, diverging from a central top point;", + "overview": "High-contrast curvilinear structures on monochromatic X-ray.", + "dataset": "XCAD dataset", + "location": "Central coronary angiography, predominantly upper half, extending toward the bottom right.", + "size": "Angiography shows varying diameter vessels spanning most of the image.", + "trend_shape": "Sinuous vessels branch and curve like a tree, diverging from a central top point.", + "background": "Homogeneous background contrasts vessel structures." + }, + { + "image": "XCAD/test/images/17817_17.png", + "caption": "Angiogram X-ray of contrast-enhanced heart arteries; XCAD dataset; Coronary angiography: main artery branches from lower left to upper right; Artery diameter is largest at the base, tapering off as it branches; Arteries follow natural pathways with smooth to irregular shapes and complex branching;", + "overview": "Angiogram X-ray of contrast-enhanced heart arteries.", + "dataset": "XCAD dataset", + "location": "Coronary angiography: main artery branches from lower left to upper right.", + "size": "Artery diameter is largest at the base, tapering off as it branches.", + "trend_shape": "Arteries follow natural pathways with smooth to irregular shapes and complex branching.", + "background": "Dark background with opacity variations and faint tissue/skeletal outlines." + }, + { + "image": "XCAD/test/images/17860_31.png", + "caption": "X-ray image showing contrasted vasculature; XCAD dataset; Coronary angiography centrally located, occupying the middle to lower right quadrant; Angiography size varies along its length, from millimeters at proximal vessels to under a millimeter at distal branches; Angiography reveals arborized, serpentine vessels with varying divergence angles, indicating normal coronary vasculature;", + "overview": "X-ray image showing contrasted vasculature", + "dataset": "XCAD dataset", + "location": "Coronary angiography centrally located, occupying the middle to lower right quadrant.", + "size": "Angiography size varies along its length, from millimeters at proximal vessels to under a millimeter at distal branches.", + "trend_shape": "Angiography reveals arborized, serpentine vessels with varying divergence angles, indicating normal coronary vasculature.", + "background": "Dark gray background contrasts vascular structures." + }, + { + "image": "XCAD/test/images/18323_20.png", + "caption": "High-contrast vascular structures on monochromatic X-ray image; XCAD dataset; Centered, occupying the middle vertically and horizontally; Vessels vary in thickness, main 1mm, branching progressively thinner; Main vessels curve smoothly and fork into tree-like branches;", + "overview": "High-contrast vascular structures on monochromatic X-ray image.", + "dataset": "XCAD dataset", + "location": "Centered, occupying the middle vertically and horizontally.", + "size": "Vessels vary in thickness, main 1mm, branching progressively thinner.", + "trend_shape": "Main vessels curve smoothly and fork into tree-like branches.", + "background": "Uneven background with gradient shadows and indistinct shapes." + }, + { + "image": "XCAD/test/images/18650_42.png", + "caption": "High-contrast vascular X-ray image; XCAD dataset; Coronary angiography centralized on the left, extending toward the center; Coronary angiogram shows vessels of varying sizes, with main artery prominent and branching into thinner vessels; Artery shows initial downward, then upward curvature; branches follow more complex curvilinear paths;", + "overview": "High-contrast vascular X-ray image.", + "dataset": "XCAD dataset", + "location": "Coronary angiography centralized on the left, extending toward the center.", + "size": "Coronary angiogram shows vessels of varying sizes, with main artery prominent and branching into thinner vessels.", + "trend_shape": "Artery shows initial downward, then upward curvature; branches follow more complex curvilinear paths.", + "background": "Featureless background contrasts vascular structures." + }, + { + "image": "XCAD/test/annotations/00242_44.png", + "caption": "GT map of coronary arteries from X-ray angiography, with simplified curvilinear structures on a uniform background; XCAD dataset; Semantic map dominates central image area; Large semantic map with curvilinear structures covering most of the image; Arterial structures form a complex interconnected map, with branches and curvatures varying in thickness to represent vessel diameters;", + "overview": "GT map of coronary arteries from X-ray angiography, with simplified curvilinear structures on a uniform background.", + "dataset": "XCAD dataset", + "location": "Semantic map dominates central image area.", + "size": "Large semantic map with curvilinear structures covering most of the image.", + "trend_shape": "Arterial structures form a complex interconnected map, with branches and curvatures varying in thickness to represent vessel diameters." + }, + { + "image": "XCAD/test/annotations/00256_39.png", + "caption": "GT coronary artery semantic map for X-ray angiography; XCAD dataset; Semantic map occupies most image space within boundaries; Semantic map size is large relative to image, with widest arteries around 1/5 image width and longest segments nearly image height; Semantic map shows branching, tapering curvilinear structures resembling coronary arteries;", + "overview": "GT coronary artery semantic map for X-ray angiography.", + "dataset": "XCAD dataset", + "location": "Semantic map occupies most image space within boundaries.", + "size": "Semantic map size is large relative to image, with widest arteries around 1/5 image width and longest segments nearly image height.", + "trend_shape": "Semantic map shows branching, tapering curvilinear structures resembling coronary arteries." + }, + { + "image": "XCAD/test/annotations/00656_38.png", + "caption": "BW semantic map (GT) of coronary arteries for medical image analysis; XCAD dataset; Arteries dominate black background image; Large semantic map covering most image with detailed artery branches; Complex branching patterns in semantic map mimic coronary arteries with varying widths and curvatures;", + "overview": "BW semantic map (GT) of coronary arteries for medical image analysis", + "dataset": "XCAD dataset", + "location": "Arteries dominate black background image.", + "size": "Large semantic map covering most image with detailed artery branches.", + "trend_shape": "Complex branching patterns in semantic map mimic coronary arteries with varying widths and curvatures.", + "background": "Abbreviated sentence: Key details preserved" + }, + { + "image": "XCAD/test/annotations/00782_41.png", + "caption": "Black background with white curvilinear structures (semantic map or GT of coronary arteries); XCAD dataset; Central semantic map covers most of image; Covers approximate 80% height, 60% width of image; Map depicts main artery with branching, variable curvature, and vertical orientation;", + "overview": "Black background with white curvilinear structures (semantic map or GT of coronary arteries)", + "dataset": "XCAD dataset", + "location": "Central semantic map covers most of image.", + "size": "Covers approximate 80% height, 60% width of image", + "trend_shape": "Map depicts main artery with branching, variable curvature, and vertical orientation.", + "background": "Abbreviated sentence:\n\nKey details preserved." + }, + { + "image": "XCAD/test/annotations/00986_65.png", + "caption": "Black-white semantic map of X-ray coronary angiography GT, with high contrast between structures and background; XCAD dataset; Centered semantic map fills image with thin background border; Large semantic map spans image, depicting coronary arteries prominently; Curvilinear semantic map structures resemble coronary arteries, with intricate branching patterns, smooth shapes, varying widths, and paths matching heart blood vessels;", + "overview": "Black-white semantic map of X-ray coronary angiography GT, with high contrast between structures and background.", + "dataset": "XCAD dataset", + "location": "Centered semantic map fills image with thin background border.", + "size": "Large semantic map spans image, depicting coronary arteries prominently.", + "trend_shape": "Curvilinear semantic map structures resemble coronary arteries, with intricate branching patterns, smooth shapes, varying widths, and paths matching heart blood vessels." + }, + { + "image": "XCAD/test/annotations/01242_29.png", + "caption": "Vessel structure map from X-ray coronary angiography image; XCAD dataset; Central semantic map covers most of the image; Detailed map of coronary vessels with varying curvilinear widths, occupying most of the image; Map depicts branching curvilinear structures resembling cardiovascular vessels, exhibiting diverse trends including smooth and bifurcating trajectories, reflecting human coronary anatomy's natural variation;", + "overview": "Vessel structure map from X-ray coronary angiography image.", + "dataset": "XCAD dataset", + "location": "Central semantic map covers most of the image.", + "size": "Detailed map of coronary vessels with varying curvilinear widths, occupying most of the image.", + "trend_shape": "Map depicts branching curvilinear structures resembling cardiovascular vessels, exhibiting diverse trends including smooth and bifurcating trajectories, reflecting human coronary anatomy's natural variation." + }, + { + "image": "XCAD/test/annotations/01834_33.png", + "caption": "Semantic map of X-ray coronary angiography for model training; XCAD dataset; Central semantic map outlines arterial vessels across image; Semantic map occupies a large part of the image, extending nearly its full dimensions; Curvilinear semantic map structures resemble coronary arteries, extending from a single origin, branching outward with increasing complexity;", + "overview": "Semantic map of X-ray coronary angiography for model training.", + "dataset": "XCAD dataset", + "location": "Central semantic map outlines arterial vessels across image.", + "size": "Semantic map occupies a large part of the image, extending nearly its full dimensions.", + "trend_shape": "Curvilinear semantic map structures resemble coronary arteries, extending from a single origin, branching outward with increasing complexity." + }, + { + "image": "XCAD/test/annotations/02884_26.png", + "caption": "Ground truth vascular structure map for image analysis (black and white); XCAD dataset; Semantic map centers in image, extending outwardly; The semantic map shows a complex vascular network with varying thicknesses; Semantic map resembles coronary artery branching pattern, with intricate curves and bifurcations;", + "overview": "Ground truth vascular structure map for image analysis (black and white).", + "dataset": "XCAD dataset", + "location": "Semantic map centers in image, extending outwardly.", + "size": "The semantic map shows a complex vascular network with varying thicknesses.", + "trend_shape": "Semantic map resembles coronary artery branching pattern, with intricate curves and bifurcations." + }, + { + "image": "XCAD/test/annotations/02997_29.png", + "caption": "Coronary artery semantic map from X-ray angiography image; XCAD dataset; Central semantic map fills most of the image; Size varies, with curvilinear structures of different lengths and thicknesses; Tree-like vascular structure with intricate branching and fine capillary endings;", + "overview": "Coronary artery semantic map from X-ray angiography image", + "dataset": "XCAD dataset", + "location": "Central semantic map fills most of the image.", + "size": "Size varies, with curvilinear structures of different lengths and thicknesses.", + "trend_shape": "Tree-like vascular structure with intricate branching and fine capillary endings.", + "background": "Abbreviated sentence:\n\nKey details preserved." + }, + { + "image": "XCAD/test/annotations/03066_27.png", + "caption": "GT map of coronary arteries from X-ray angiography; XCAD dataset; Central, large, curvilinear structures; Covering most of the image; Branched vessels of varying widths and lengths, predominantly elongated with curves and bifurcations;", + "overview": "GT map of coronary arteries from X-ray angiography", + "dataset": "XCAD dataset", + "location": "Central, large, curvilinear structures.", + "size": "Covering most of the image.", + "trend_shape": "Branched vessels of varying widths and lengths, predominantly elongated with curves and bifurcations.", + "background": "Abbreviated sentence: Key details preserved." + }, + { + "image": "XCAD/test/annotations/03906_20.png", + "caption": "GT semantic map of coronary arteries for X-ray angiography; XCAD dataset; Central semantic map covers most image area; Semantic map occupies a substantial portion of the image, indicating high-resolution coronary artery mapping; Curvilinear coronary artery map shows varying thickness, main artery curving left to right, with branching network;", + "overview": "GT semantic map of coronary arteries for X-ray angiography.", + "dataset": "XCAD dataset", + "location": "Central semantic map covers most image area.", + "size": "Semantic map occupies a substantial portion of the image, indicating high-resolution coronary artery mapping.", + "trend_shape": "Curvilinear coronary artery map shows varying thickness, main artery curving left to right, with branching network." + }, + { + "image": "XCAD/test/annotations/03920_21.png", + "caption": "Coronary artery map; GT for X-ray angiography; XCAD dataset; Central semantic map fills most of image, bordered by black; Semantic map exceeds image size, featuring curvilinear structures spanning both axes; Semantic map pattern resembles coronary artery network, exhibiting branching and curvature;", + "overview": "Coronary artery map; GT for X-ray angiography.", + "dataset": "XCAD dataset", + "location": "Central semantic map fills most of image, bordered by black.", + "size": "Semantic map exceeds image size, featuring curvilinear structures spanning both axes.", + "trend_shape": "Semantic map pattern resembles coronary artery network, exhibiting branching and curvature." + }, + { + "image": "XCAD/test/annotations/04174_22.png", + "caption": "Semantic map (GT) of vascular structures from X-ray coronary angiography; XCAD dataset; Central semantic map covers most image, clear margins; Curvilinear structures of varying thickness, indicating vessel caliber differences, occupy a significant portion of the image, suggesting moderate to large size; Diagonal flow from upper right to lower left with bifurcations, curvatures, and elongated/looping shapes, characteristic of coronary vasculature;", + "overview": "Semantic map (GT) of vascular structures from X-ray coronary angiography.", + "dataset": "XCAD dataset", + "location": "Central semantic map covers most image, clear margins.", + "size": "Curvilinear structures of varying thickness, indicating vessel caliber differences, occupy a significant portion of the image, suggesting moderate to large size.", + "trend_shape": "Diagonal flow from upper right to lower left with bifurcations, curvatures, and elongated/looping shapes, characteristic of coronary vasculature." + }, + { + "image": "XCAD/test/annotations/05244_37.png", + "caption": "Black background with white curvilinear GT/semantic map of coronary artery structure; XCAD dataset; Semantic map displays arterial network in top-left quadrant; Semantic map covers most of image, with curvilinear structures varying in line thickness from fine to moderate; Semantic map exhibits complex branching patterns resembling coronary artery system;", + "overview": "Black background with white curvilinear GT/semantic map of coronary artery structure.", + "dataset": "XCAD dataset", + "location": "Semantic map displays arterial network in top-left quadrant.", + "size": "Semantic map covers most of image, with curvilinear structures varying in line thickness from fine to moderate.", + "trend_shape": "Semantic map exhibits complex branching patterns resembling coronary artery system." + }, + { + "image": "XCAD/test/annotations/05874_12.png", + "caption": "GT: Black map with white curvilinear arteries; XCAD dataset; Central semantic map dominates image space; High-resolution semantic map with fine curvilinear details, pixel dimensions unspecified; Predominantly branching, bifurcating structures with varying curvature and thickness, mimicking coronary vessels;", + "overview": "GT: Black map with white curvilinear arteries.", + "dataset": "XCAD dataset", + "location": "Central semantic map dominates image space.", + "size": "High-resolution semantic map with fine curvilinear details, pixel dimensions unspecified.", + "trend_shape": "Predominantly branching, bifurcating structures with varying curvature and thickness, mimicking coronary vessels." + }, + { + "image": "XCAD/test/annotations/06008_42.png", + "caption": "Curvilinear GT map of X-ray coronary angiography shows vascular pathways; XCAD dataset; Central semantic map: branching structures vary in curvature and thickness; Curvilinear object, 2/3 width and 1/2 height, branches extend outward; Curve from upper left to lower center, with varied branching;", + "overview": "Curvilinear GT map of X-ray coronary angiography shows vascular pathways.", + "dataset": "XCAD dataset", + "location": "Central semantic map: branching structures vary in curvature and thickness.", + "size": "Curvilinear object, 2/3 width and 1/2 height, branches extend outward.", + "trend_shape": "Curve from upper left to lower center, with varied branching.", + "background": "Removed non-essential details:\n**Original:** The average daily body weight loss in patients undergoing gastric bypass surgery is approximately 0.9 kilograms per day.\n**Abbreviated:** Gastric bypass surgery patients lose about 0.9 kg/day." + }, + { + "image": "XCAD/test/annotations/06080_31.png", + "caption": "Vascular-structure map (GT) for X-ray coronary angiography analysis; XCAD dataset; Central semantic map covers most canvas; Map nearly fills image, indicating high spatial utilization; Semantic map exhibits intricate curvilinear network resembling arterial branching and curvature, with visible bifurcations and convergences;", + "overview": "Vascular-structure map (GT) for X-ray coronary angiography analysis.", + "dataset": "XCAD dataset", + "location": "Central semantic map covers most canvas.", + "size": "Map nearly fills image, indicating high spatial utilization.", + "trend_shape": "Semantic map exhibits intricate curvilinear network resembling arterial branching and curvature, with visible bifurcations and convergences." + }, + { + "image": "XCAD/test/annotations/06647_29.png", + "caption": "Semantic map (GT) of coronary artery structure; XCAD dataset; White curves on black in center; Map size indeterminable without scale reference; Branching arterial map with varying curvature, emanating from a central artery with finer branches; primary artery follows a sinuous path with diverse curvilinear secondary and tertiary branches;", + "overview": "Semantic map (GT) of coronary artery structure.", + "dataset": "XCAD dataset", + "location": "White curves on black in center.", + "size": "Map size indeterminable without scale reference.", + "trend_shape": "Branching arterial map with varying curvature, emanating from a central artery with finer branches; primary artery follows a sinuous path with diverse curvilinear secondary and tertiary branches." + }, + { + "image": "XCAD/test/annotations/07358_29.png", + "caption": "High-contrast semantic map of coronary angiography (GT image); XCAD dataset; Central semantic map occupies majority of image, extending to periphery; Large semantic map with broad main vessels tapering to finer branches at edges; Arterial map shows tree-like structure with bifurcations, matching natural branching of coronary vessels;", + "overview": "High-contrast semantic map of coronary angiography (GT image).", + "dataset": "XCAD dataset", + "location": "Central semantic map occupies majority of image, extending to periphery.", + "size": "Large semantic map with broad main vessels tapering to finer branches at edges.", + "trend_shape": "Arterial map shows tree-like structure with bifurcations, matching natural branching of coronary vessels." + }, + { + "image": "XCAD/test/annotations/07569_21.png", + "caption": "Binary GT map of vasculature from X-ray coronary angiography; XCAD dataset; Central semantic map fills most of the canvas; Moderate-sized semantic map with curvilinear structures indicating vessel diameter variations; Semantic map resembles arterial structure with branching and curvature patterns;", + "overview": "Binary GT map of vasculature from X-ray coronary angiography.", + "dataset": "XCAD dataset", + "location": "Central semantic map fills most of the canvas.", + "size": "Moderate-sized semantic map with curvilinear structures indicating vessel diameter variations.", + "trend_shape": "Semantic map resembles arterial structure with branching and curvature patterns." + }, + { + "image": "XCAD/test/annotations/07769_24.png", + "caption": "Semantic map (GT) of curvilinear structures in a coronary angiogram; XCAD dataset; Centered semantic map occupies most of image, slightly left with clear space; Moderate-sized semantic map with varying curvilinear structures exhibiting significant branching and curvature; Semantic map resembles coronary artery anatomy: smooth lines for paths, including curves and angular branches;", + "overview": "Semantic map (GT) of curvilinear structures in a coronary angiogram.", + "dataset": "XCAD dataset", + "location": "Centered semantic map occupies most of image, slightly left with clear space.", + "size": "Moderate-sized semantic map with varying curvilinear structures exhibiting significant branching and curvature.", + "trend_shape": "Semantic map resembles coronary artery anatomy: smooth lines for paths, including curves and angular branches." + }, + { + "image": "XCAD/test/annotations/08797_46.png", + "caption": "Semantic map (GT) of curvilinear structures resembling coronary arteries; XCAD dataset; Central and upper left quadrant of the image; Occupies approximately 40% of the image area; Branching, tree-like curvilinear structures with variable thickness and curvature, displaying a fractal-like vascular pattern; Background unspecified;", + "overview": "Semantic map (GT) of curvilinear structures resembling coronary arteries; ", + "dataset": "XCAD dataset; ", + "location": "Central and upper left quadrant of the image; ", + "size": "Occupies approximately 40% of the image area; ", + "trend_shape": "Branching, tree-like curvilinear structures with variable thickness and curvature, displaying a fractal-like vascular pattern.", + "background": "Background unspecified" + }, + { + "image": "XCAD/test/annotations/11357_13.png", + "caption": "High-contrast GT map for curvilinear X-ray angiography; XCAD dataset; Central semantic map depicts prominent structures in most of image; Semantic map size exceeds canvas size for clear arterial visualization; Semantic map mirrors coronary artery curvature and branching, with varying thickness and complexity;", + "overview": "High-contrast GT map for curvilinear X-ray angiography.", + "dataset": "XCAD dataset", + "location": "Central semantic map depicts prominent structures in most of image.", + "size": "Semantic map size exceeds canvas size for clear arterial visualization.", + "trend_shape": "Semantic map mirrors coronary artery curvature and branching, with varying thickness and complexity." + }, + { + "image": "XCAD/test/annotations/12241_33.png", + "caption": "Black and white GT semantic map for medical image analysis artery training; XCAD dataset; Semantic map centered in image, nearly fills canvas with clear space around edges; Semantic map size large relative to image, stretching almost its full height; Semantic map mimics branching tree pattern, with arterial pathways shown as curvilinear, tapering shapes, varying in thickness from trunk to branches;", + "overview": "Black and white GT semantic map for medical image analysis artery training.", + "dataset": "XCAD dataset", + "location": "Semantic map centered in image, nearly fills canvas with clear space around edges.", + "size": "Semantic map size large relative to image, stretching almost its full height.", + "trend_shape": "Semantic map mimics branching tree pattern, with arterial pathways shown as curvilinear, tapering shapes, varying in thickness from trunk to branches." + }, + { + "image": "XCAD/test/annotations/16028_20.png", + "caption": "Vascular structure semantic map in X-ray angiography, ground truth for model research; XCAD dataset; Central semantic map occupies most of image with clear black boundaries; Large map fills most of the image frame, with the vessel structure in the center and branches extending outward; Curvilinear vessel network with varying thickness; main vessel top left to bottom right; secondary/tertiary branches radiate with bifurcations and curves like coronary arteries;", + "overview": "Vascular structure semantic map in X-ray angiography, ground truth for model research.", + "dataset": "XCAD dataset", + "location": "Central semantic map occupies most of image with clear black boundaries.", + "size": "Large map fills most of the image frame, with the vessel structure in the center and branches extending outward.", + "trend_shape": "Curvilinear vessel network with varying thickness; main vessel top left to bottom right; secondary/tertiary branches radiate with bifurcations and curves like coronary arteries." + }, + { + "image": "XCAD/test/annotations/16280_32.png", + "caption": "X-ray angiography vascular map with high-contrast black and white ground truth; XCAD dataset; Central semantic map fills most of the image canvas, surrounded by space; Map is large relative to the image; Curvilinear structures branch from a central trunk, resembling a tree with varying thickness, curvatures, and bifurcations that mimic vascular networks;", + "overview": "X-ray angiography vascular map with high-contrast black and white ground truth.", + "dataset": "XCAD dataset", + "location": "Central semantic map fills most of the image canvas, surrounded by space.", + "size": "Map is large relative to the image.", + "trend_shape": "Curvilinear structures branch from a central trunk, resembling a tree with varying thickness, curvatures, and bifurcations that mimic vascular networks." + }, + { + "image": "XCAD/test/annotations/16291_31.png", + "caption": "Semantic map (GT) of coronary arteries; XCAD dataset; Semantic map dominates image frame; Large semantic map with clear coronary arteries outline; Semantic map resembles natural branching of coronary arteries, exhibiting smooth, branching lines depicting major paths and finer branches;", + "overview": "Semantic map (GT) of coronary arteries.", + "dataset": "XCAD dataset", + "location": "Semantic map dominates image frame.", + "size": "Large semantic map with clear coronary arteries outline.", + "trend_shape": "Semantic map resembles natural branching of coronary arteries, exhibiting smooth, branching lines depicting major paths and finer branches." + }, + { + "image": "XCAD/test/annotations/17543_38.png", + "caption": "High-contrast semantic map (GT) of coronary arteries in X-ray coronary angiography; XCAD dataset; Central semantic map fills image area with slight margin; Large semantic map with intricate vessel network from top left to bottom right; Semantic map exhibits vertical branching patterns with curvilinear arterial branches and varying bifurcations;", + "overview": "High-contrast semantic map (GT) of coronary arteries in X-ray coronary angiography.", + "dataset": "XCAD dataset", + "location": "Central semantic map fills image area with slight margin.", + "size": "Large semantic map with intricate vessel network from top left to bottom right.", + "trend_shape": "Semantic map exhibits vertical branching patterns with curvilinear arterial branches and varying bifurcations." + }, + { + "image": "XCAD/test/annotations/17817_17.png", + "caption": "Semantic map of GT curvilinear structures from an x-ray coronary angiography; XCAD dataset; Semantic map central in image, occupies most of field without touching edges; Semantic map spans nearly image height with varying curve widths, indicating full-scale representation; Semantic map exhibits complex arterial structure with tapering, branching lines converging and diverging biomorphically;", + "overview": "Semantic map of GT curvilinear structures from an x-ray coronary angiography.", + "dataset": "XCAD dataset", + "location": "Semantic map central in image, occupies most of field without touching edges.", + "size": "Semantic map spans nearly image height with varying curve widths, indicating full-scale representation.", + "trend_shape": "Semantic map exhibits complex arterial structure with tapering, branching lines converging and diverging biomorphically." + }, + { + "image": "XCAD/test/annotations/17860_31.png", + "caption": "BW semantic map of X-ray CA representing vessel GT; XCAD dataset; Centered semantic map covers most of image; Semantic map occupies 70-80% of image, with varying vessel thickness; Prominent vertical main vessel with multiple branching vessels; curvilinear shape with smooth contours and bifurcations;", + "overview": "BW semantic map of X-ray CA representing vessel GT.", + "dataset": "XCAD dataset", + "location": "Centered semantic map covers most of image.", + "size": "Semantic map occupies 70-80% of image, with varying vessel thickness.", + "trend_shape": "Prominent vertical main vessel with multiple branching vessels; curvilinear shape with smooth contours and bifurcations." + }, + { + "image": "XCAD/test/annotations/18323_20.png", + "caption": "Binary GT map of coronary arteries from X-ray angiography; XCAD dataset; Black-surrounded semantic map in image center; Semantic map fills substantial image area; Semantic map depicts the complex branching and curvature of the coronary arterial tree, representing realistic coronary artery anatomy;", + "overview": "Binary GT map of coronary arteries from X-ray angiography.", + "dataset": "XCAD dataset", + "location": "Black-surrounded semantic map in image center.", + "size": "Semantic map fills substantial image area.", + "trend_shape": "Semantic map depicts the complex branching and curvature of the coronary arterial tree, representing realistic coronary artery anatomy." + }, + { + "image": "XCAD/test/annotations/18650_42.png", + "caption": "Arterial structure map (Ground Truth) in coronary X-ray angiography; XCAD dataset; Central semantic map, mostly middle, some lower right; Semantic map size varies, with curvilinear structure widths representing vessel size; Coronary arteries exhibit branching patterns with curvatures, bifurcations, and elongated shapes;", + "overview": "Arterial structure map (Ground Truth) in coronary X-ray angiography.", + "dataset": "XCAD dataset", + "location": "Central semantic map, mostly middle, some lower right.", + "size": "Semantic map size varies, with curvilinear structure widths representing vessel size.", + "trend_shape": "Coronary arteries exhibit branching patterns with curvatures, bifurcations, and elongated shapes." + } +] \ No newline at end of file diff --git a/dataset_curvilinear/crack/crack.json b/dataset_curvilinear/crack/crack.json new file mode 100644 index 0000000000000000000000000000000000000000..d200785989d75fdb75d712378dd42a45b4d597bf --- /dev/null +++ b/dataset_curvilinear/crack/crack.json @@ -0,0 +1,6747 @@ +[ + { + "image": "training/images/10.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches wide; The crack is linear with a slight curve to the right; The background is a close-up of asphalt pavement with small pebbles;", + "overview": "This is an image of a crack in asphalt pavement;", + "dataset": "Crack500 dataset;", + "location": "The crack is located in the middle of the image;", + "size": "The crack is approximately 1.5 inches wide;", + "trend_shape": "The crack is linear with a slight curve to the right;", + "background": "The background is a close-up of asphalt pavement with small pebbles." + }, + { + "image": "training/images/100.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches wide; The crack is linear and runs horizontally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "The crack is linear and runs horizontally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/101.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long and 1/4 inch wide; The crack is a sealed, longitudinal crack with a slight curve to the right; The background is a grey asphalt road;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long and 1/4 inch wide.", + "trend_shape": "The crack is a sealed, longitudinal crack with a slight curve to the right.", + "background": "The background is a grey asphalt road." + }, + { + "image": "training/images/103.jpg", + "caption": "Asphalt pavement crack; Crack500 dataset; Crack in image center; 10-inch crack, 0.25-inch wide; Curved linear crack; Asphalt pavement closeup with pebbles and cracks;", + "overview": "Asphalt pavement crack.", + "dataset": "Crack500 dataset", + "location": "Crack in image center.", + "size": "10-inch crack, 0.25-inch wide", + "trend_shape": "Curved linear crack.", + "background": "Asphalt pavement closeup with pebbles and cracks." + }, + { + "image": "training/images/104.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, curved line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/106.jpg", + "caption": "This is an image of a crack in asphalt; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 10 inches long and 1/4 inch wide; The crack is linear and has a slight curve to the right; The background is asphalt with small pebbles;", + "overview": "This is an image of a crack in asphalt.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 10 inches long and 1/4 inch wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background is asphalt with small pebbles." + }, + { + "image": "training/images/107.jpg", + "caption": "Asphalt road surface crack image; Crack500 dataset; Mid-image crack; 10\" long, 0.5\" wide crack; Thin, meandering crack runs horizontally across image; Asphalt road surface closeup;", + "overview": "Asphalt road surface crack image.", + "dataset": "Crack500 dataset", + "location": "Mid-image crack.", + "size": "10\" long, 0.5\" wide crack", + "trend_shape": "Thin, meandering crack runs horizontally across image.", + "background": "Asphalt road surface closeup." + }, + { + "image": "training/images/108.jpg", + "caption": "Asphalt crack closeup; Crack500 dataset; Mid-image, horizontal crack; Crack: 1.5\" wide x 10\" long; Jagged, zig-zag crack; Asphalt road surface closeup;", + "overview": "Asphalt crack closeup.", + "dataset": "Crack500 dataset", + "location": "Mid-image, horizontal crack.", + "size": "Crack: 1.5\" wide x 10\" long", + "trend_shape": "Jagged, zig-zag crack.", + "background": "Asphalt road surface closeup." + }, + { + "image": "training/images/11.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, curved line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/110.jpg", + "caption": "Cracked pavement image; Crack500 dataset; Crack is central in image; Crack: 3 inches long; T-shaped crack with two perpendicular branches from vertical crack bottom; Close-up of grey asphalt road with pebbles;", + "overview": "Cracked pavement image.", + "dataset": "Crack500 dataset", + "location": "Crack is central in image.", + "size": "Crack: 3 inches long.", + "trend_shape": "T-shaped crack with two perpendicular branches from vertical crack bottom.", + "background": "Close-up of grey asphalt road with pebbles." + }, + { + "image": "training/images/112.jpg", + "caption": "This is an image of a crack in asphalt pavement.; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches wide and 10 inches long; The crack is linear and runs diagonally from the top left corner of the image to the bottom right corner; The background is asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.;", + "dataset": "Crack500 dataset;", + "location": "The crack is located in the middle of the image;", + "size": "The crack is about 1.5 inches wide and 10 inches long;", + "trend_shape": "The crack is linear and runs diagonally from the top left corner of the image to the bottom right corner;", + "background": "The background is asphalt pavement." + }, + { + "image": "training/images/114.jpg", + "caption": "This is an image of a crack on an asphalt pavement surface; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches long; The crack is a thin, linear feature with a slightly winding path; The background of the image is a close-up of an asphalt pavement surface;", + "overview": "This is an image of a crack on an asphalt pavement surface.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches long.", + "trend_shape": "The crack is a thin, linear feature with a slightly winding path.", + "background": "The background of the image is a close-up of an asphalt pavement surface." + }, + { + "image": "training/images/117.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, curved line that runs diagonally across the image; The background of the image is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background of the image is a grey asphalt pavement." + }, + { + "image": "training/images/118.jpg", + "caption": "Asphalt pavement crack close-up; Crack500 dataset; Crack is centered in the image; The crack is 1.5\" wide and 12\" long; Linear crack diagonally from top left to bottom right; Asphalt pavement background with pebbles and dark stains;", + "overview": "Asphalt pavement crack close-up.", + "dataset": "Crack500 dataset", + "location": "Crack is centered in the image.", + "size": "The crack is 1.5\" wide and 12\" long.", + "trend_shape": "Linear crack diagonally from top left to bottom right.", + "background": "Asphalt pavement background with pebbles and dark stains." + }, + { + "image": "training/images/119.jpg", + "caption": "Pavement crack image; Crack500 dataset; Crack at image center; Crack: 10\" long, 0.5\" wide; Winding, twisting, wide crack with jagged edges; Asphalt road background;", + "overview": "Pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Crack at image center.", + "size": "Crack: 10\" long, 0.5\" wide.", + "trend_shape": "Winding, twisting, wide crack with jagged edges.", + "background": "Asphalt road background." + }, + { + "image": "training/images/12.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a semi-circular shape and is relatively wide; The background of the image is a close-up of an asphalt pavement surface;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a semi-circular shape and is relatively wide.", + "background": "The background of the image is a close-up of an asphalt pavement surface." + }, + { + "image": "training/images/124.jpg", + "caption": "This is an image of a crack in an asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches wide; The crack is linear and runs diagonally across the image; The background of the image is asphalt pavement;", + "overview": "This is an image of a crack in an asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1.5 inches wide.", + "trend_shape": "The crack is linear and runs diagonally across the image.", + "background": "The background of the image is asphalt pavement." + }, + { + "image": "training/images/125.jpg", + "caption": "Asphalt crack image; Crack500 dataset; Horizontal crack in center of image; Crack: 1.5\" wide x 10\" long; Cracked image: thin, jagged horizontal line with minor deviations; Asphalt road surface closeup, black, rough texture;", + "overview": "Asphalt crack image.", + "dataset": "Crack500 dataset", + "location": "Horizontal crack in center of image.", + "size": "Crack: 1.5\" wide x 10\" long", + "trend_shape": "Cracked image: thin, jagged horizontal line with minor deviations.", + "background": "Asphalt road surface closeup, black, rough texture." + }, + { + "image": "training/images/126.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 30 cm long and 1 cm wide; The crack is a straight line, and it is oriented vertically; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 30 cm long and 1 cm wide.", + "trend_shape": "The crack is a straight line, and it is oriented vertically.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/127.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long; The crack is a thin, curved line that runs diagonally across the image; The background of the image is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background of the image is a grey asphalt pavement." + }, + { + "image": "training/images/129.jpg", + "caption": "A close-up image of a crack in asphalt; Crack500 dataset; The crack is in the center of the image; The crack is approximately 1.5 inches long; The crack is vertical and straight; The background is grey asphalt;", + "overview": "A close-up image of a crack in asphalt.", + "dataset": "Crack500 dataset.", + "location": "The crack is in the center of the image.", + "size": "The crack is approximately 1.5 inches long.", + "trend_shape": "The crack is vertical and straight.", + "background": "The background is grey asphalt." + }, + { + "image": "training/images/13.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 2 mm wide; The crack is a jagged line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "The crack is a jagged line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/130.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, winding and twisting crack, with a slight curve to the right; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, winding and twisting crack, with a slight curve to the right.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/131.jpg", + "caption": "Asphalt road surface crack; Crack500 dataset; Horizontal crack in image center; 10-inch crack, 1/4-inch wide; Thin, dark, jagged crack curves slightly right mid-way; Asphalt road surface closeup;", + "overview": "Asphalt road surface crack.", + "dataset": "Crack500 dataset", + "location": "Horizontal crack in image center.", + "size": "10-inch crack, 1/4-inch wide.", + "trend_shape": "Thin, dark, jagged crack curves slightly right mid-way.", + "background": "Asphalt road surface closeup." + }, + { + "image": "training/images/132.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm in length; The crack is a thin, curved line. It is oriented diagonally from the top left corner of the image to the bottom right corner; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm in length.", + "trend_shape": "The crack is a thin, curved line. It is oriented diagonally from the top left corner of the image to the bottom right corner.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/133.jpg", + "caption": "This is an image of a crack on an asphalt road surface; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches wide; The crack is linear and has a slight zigzag shape; The background of the image is a close-up of an asphalt road surface;", + "overview": "This is an image of a crack on an asphalt road surface.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "The crack is linear and has a slight zigzag shape.", + "background": "The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "training/images/134.jpg", + "caption": "Asphalt crack image; Crack500 dataset; Crack at image center; 1/4\" wide, 6\" long crack; Diagonal crack runs top left to bottom right; Asphalt pavement with pebbles;", + "overview": "Asphalt crack image.", + "dataset": "Crack500 dataset", + "location": "Crack at image center.", + "size": "1/4\" wide, 6\" long crack.", + "trend_shape": "Diagonal crack runs top left to bottom right.", + "background": "Asphalt pavement with pebbles." + }, + { + "image": "training/images/136.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long and 1/4 inch wide; The crack is a jagged line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long and 1/4 inch wide.", + "trend_shape": "The crack is a jagged line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/137.jpg", + "caption": "This is an image of a crack in asphalt; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches wide; The crack is linear and runs horizontally across the image; The background is asphalt with small pebbles;", + "overview": "This is an image of a crack in asphalt.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1.5 inches wide.", + "trend_shape": "The crack is linear and runs horizontally across the image.", + "background": "The background is asphalt with small pebbles." + }, + { + "image": "training/images/139.jpg", + "caption": "A close-up image of a single crack on an asphalt road surface; Crack500 dataset; The crack is located in the center of the image; The crack is approximately 10 inches long and 0.25 inches wide; The crack is linear and oriented vertically; The background of the image is a close-up of an asphalt road surface;", + "overview": "A close-up image of a single crack on an asphalt road surface.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the center of the image.", + "size": "The crack is approximately 10 inches long and 0.25 inches wide.", + "trend_shape": "The crack is linear and oriented vertically.", + "background": "The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "training/images/14.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 3 inches long; The crack is a thin, jagged line that runs diagonally across the image; The background of the image is a close-up of asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 3 inches long.", + "trend_shape": "The crack is a thin, jagged line that runs diagonally across the image.", + "background": "The background of the image is a close-up of asphalt pavement." + }, + { + "image": "training/images/141.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 10 inches long and 0.5 inches wide; The crack is a sealed crack with a slight curve; The background is a close-up of asphalt pavement with small pebbles;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 10 inches long and 0.5 inches wide.", + "trend_shape": "The crack is a sealed crack with a slight curve.", + "background": "The background is a close-up of asphalt pavement with small pebbles." + }, + { + "image": "training/images/142.jpg", + "caption": "This is an image of a crack on an asphalt road surface; Crack500 dataset; The crack is located in the center of the image; The crack is approximately 1.5 inches wide and 10 inches long; The crack is linear and has a slight curve to the right; The background is a close-up of an asphalt road surface;", + "overview": "This is an image of a crack on an asphalt road surface.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the center of the image.", + "size": "The crack is approximately 1.5 inches wide and 10 inches long.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background is a close-up of an asphalt road surface." + }, + { + "image": "training/images/143.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long; The crack is a thin, curved line that runs diagonally across the image; The background of the image is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background of the image is a grey asphalt pavement." + }, + { + "image": "training/images/145.jpg", + "caption": "This is an image of a crack in an asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches wide and 10 inches long; The crack is vertical and has a slight curve to the right; The background of the image is a close-up of an asphalt pavement with small pebbles;", + "overview": "This is an image of a crack in an asphalt pavement;", + "dataset": "Crack500 dataset;", + "location": "The crack is located in the middle of the image;", + "size": "The crack is about 1.5 inches wide and 10 inches long;", + "trend_shape": "The crack is vertical and has a slight curve to the right;", + "background": "The background of the image is a close-up of an asphalt pavement with small pebbles." + }, + { + "image": "training/images/146.jpg", + "caption": "A close-up image of a crack in an asphalt pavement; Crack500 dataset; The crack is located in the center of the image; The crack is approximately 1.5 inches wide; The crack is linear and runs vertically down the image; The background of the image is a close-up of an asphalt pavement with small pebbles;", + "overview": "A close-up image of a crack in an asphalt pavement.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the center of the image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "The crack is linear and runs vertically down the image.", + "background": "The background of the image is a close-up of an asphalt pavement with small pebbles." + }, + { + "image": "training/images/147.jpg", + "caption": "A close-up image of a crack in asphalt; Crack500 dataset; The crack is located in the center of the image; The crack is approximately 1/4 inch wide and 12 inches long; The crack is linear and runs vertically down the center of the image; The background is grey asphalt with small pebbles;", + "overview": "A close-up image of a crack in asphalt.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the center of the image.", + "size": "The crack is approximately 1/4 inch wide and 12 inches long.", + "trend_shape": "The crack is linear and runs vertically down the center of the image.", + "background": "The background is grey asphalt with small pebbles." + }, + { + "image": "training/images/148.jpg", + "caption": "This is an image of a crack on an asphalt road surface; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches wide; The crack is a single, continuous crack that runs horizontally across the image; The background of the image is a close-up of the asphalt road surface;", + "overview": "This is an image of a crack on an asphalt road surface.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "The crack is a single, continuous crack that runs horizontally across the image.", + "background": "The background of the image is a close-up of the asphalt road surface." + }, + { + "image": "training/images/15.jpg", + "caption": "Pavement crack image; Crack500 dataset; Crack center of image; Crack: 30 cm long, 1 cm wide; Winding, twisting crack with sharp turns, wide and jagged edges; Grey asphalt pavement close-up with pebbles;", + "overview": "Pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Crack center of image.", + "size": "Crack: 30 cm long, 1 cm wide.", + "trend_shape": "Winding, twisting crack with sharp turns, wide and jagged edges.", + "background": "Grey asphalt pavement close-up with pebbles." + }, + { + "image": "training/images/150.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, curved line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/151.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image and is oriented horizontally; The crack is approximately 1.5 inches long and 0.25 inches wide; The crack is jagged and has a rough surface; The background of the image is grey and consists of small rocks and pebbles;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image and is oriented horizontally.", + "size": "The crack is approximately 1.5 inches long and 0.25 inches wide.", + "trend_shape": "The crack is jagged and has a rough surface.", + "background": "The background of the image is grey and consists of small rocks and pebbles." + }, + { + "image": "training/images/152.jpg", + "caption": "Concrete pavement with large crack; Crack500 dataset; Center crack; Crack: 10\" long, 1/4\" wide; Diagonal crack from top left to bottom right; Grey concrete pavement with pebbles;", + "overview": "Concrete pavement with large crack.", + "dataset": "Crack500 dataset", + "location": "Center crack.", + "size": "Crack: 10\" long, 1/4\" wide", + "trend_shape": "Diagonal crack from top left to bottom right.", + "background": "Grey concrete pavement with pebbles." + }, + { + "image": "training/images/153.jpg", + "caption": "Asphalt road crack image; Crack500 dataset; Horizontal crack in image center; Crack: 10\" long, 0.25\" wide; Crack: straight line, slight right curve in center; Asphalt road surface close-up with pebbles and cracks;", + "overview": "Asphalt road crack image.", + "dataset": "Crack500 dataset", + "location": "Horizontal crack in image center.", + "size": "Crack: 10\" long, 0.25\" wide", + "trend_shape": "Crack: straight line, slight right curve in center.", + "background": "Asphalt road surface close-up with pebbles and cracks." + }, + { + "image": "training/images/155.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, vertical line that is jagged in some areas and straight in others; The background is a grey, concrete surface;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, vertical line that is jagged in some areas and straight in others.", + "background": "The background is a grey, concrete surface." + }, + { + "image": "training/images/156.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches wide; The crack is linear and runs diagonally from the top left corner of the image to the bottom right corner; The background of the image is grey asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1.5 inches wide.", + "trend_shape": "The crack is linear and runs diagonally from the top left corner of the image to the bottom right corner.", + "background": "The background of the image is grey asphalt pavement." + }, + { + "image": "training/images/157.jpg", + "caption": "Asphalt road crack closeup; Crack500 dataset; Center crack; Crack: 1.5\" long, 0.25\" wide; Linear crack with slight rightward curvature; Asphalt road surface closeup;", + "overview": "Asphalt road crack closeup", + "dataset": "Crack500 dataset", + "location": "Center crack.", + "size": "Crack: 1.5\" long, 0.25\" wide", + "trend_shape": "Linear crack with slight rightward curvature.", + "background": "Asphalt road surface closeup." + }, + { + "image": "training/images/158.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 30 cm long and 1 cm wide; The crack is a straight line with a slight curve to the right; The background of the image is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 30 cm long and 1 cm wide.", + "trend_shape": "The crack is a straight line with a slight curve to the right.", + "background": "The background of the image is a grey asphalt pavement." + }, + { + "image": "training/images/159.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 10 inches long and 0.25 inches wide; The crack is linear and has a slight curve to the right; The background of the image is grey asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 10 inches long and 0.25 inches wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background of the image is grey asphalt pavement." + }, + { + "image": "training/images/16.jpg", + "caption": "Asphalt pavement crack image; Crack500 dataset; Crack in image center; 1.5\" long crack; Horizontal crack with a small branching near its center; Asphalt pavement with small pebbles;", + "overview": "Asphalt pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Crack in image center.", + "size": "1.5\" long crack", + "trend_shape": "Horizontal crack with a small branching near its center.", + "background": "Asphalt pavement with small pebbles." + }, + { + "image": "training/images/160.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches wide; The crack is linear and runs diagonally from the top left corner of the image to the bottom right corner; The background is asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "The crack is linear and runs diagonally from the top left corner of the image to the bottom right corner.", + "background": "The background is asphalt pavement." + }, + { + "image": "training/images/161.jpg", + "caption": "Asphalt pavement crack closeup; Crack500 dataset; Crack in image center; Crack length: 1.5 inches; Diagonal, slightly curved crack visible in image; Close-up of asphalt pavement with visible pebbles and stones;", + "overview": "Asphalt pavement crack closeup.", + "dataset": "Crack500 dataset", + "location": "Crack in image center.", + "size": "Crack length: 1.5 inches", + "trend_shape": "Diagonal, slightly curved crack visible in image.", + "background": "Close-up of asphalt pavement with visible pebbles and stones." + }, + { + "image": "training/images/162.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long; The crack is a thin, curved line that runs from the top left corner of the image to the bottom right corner; The background of the image is a grey asphalt road;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "The crack is a thin, curved line that runs from the top left corner of the image to the bottom right corner.", + "background": "The background of the image is a grey asphalt road." + }, + { + "image": "training/images/163.jpg", + "caption": "Asphalt pavement crack closeup; Crack500 dataset; Crack located mid-image; Crack: 1.5\" wide, 10\" long; Jagged, zigzagging crack; Asphalt pavement closeup with pebbles;", + "overview": "Asphalt pavement crack closeup", + "dataset": "Crack500 dataset", + "location": "Crack located mid-image.", + "size": "Crack: 1.5\" wide, 10\" long", + "trend_shape": "Jagged, zigzagging crack.", + "background": "Asphalt pavement closeup with pebbles." + }, + { + "image": "training/images/164.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 20 cm long and 2 mm wide; The crack is linear and has a slight curve to the right; The background is a close-up of a grey asphalt pavement with small pebbles;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 20 cm long and 2 mm wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background is a close-up of a grey asphalt pavement with small pebbles." + }, + { + "image": "training/images/165.jpg", + "caption": "This is an image of a crack in asphalt; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long and 1/4 inch wide; The crack is linear and has a slight curve to the right; The background is asphalt with small pebbles;", + "overview": "This is an image of a crack in asphalt.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long and 1/4 inch wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background is asphalt with small pebbles." + }, + { + "image": "training/images/166.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 2 mm wide; The crack is a thin, winding and twisting crack, with some small branches; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "The crack is a thin, winding and twisting crack, with some small branches.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/167.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long; The crack is a winding and twisting, with a few sharp turns; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "The crack is a winding and twisting, with a few sharp turns.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/169.jpg", + "caption": "This is an image of a crack in asphalt; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 10 inches long; The crack is a horizontal, jagged line; The background is grey asphalt;", + "overview": "This is an image of a crack in asphalt.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 10 inches long.", + "trend_shape": "The crack is a horizontal, jagged line.", + "background": "The background is grey asphalt." + }, + { + "image": "training/images/170.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 12 inches long and 2 inches wide; The crack is a branched crack with a butterfly shape; The background is a close-up of an asphalt road surface;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 12 inches long and 2 inches wide.", + "trend_shape": "The crack is a branched crack with a butterfly shape.", + "background": "The background is a close-up of an asphalt road surface." + }, + { + "image": "training/images/171.jpg", + "caption": "A close-up image of a crack in a concrete pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1/8 inch wide and 2 inches long; The crack is straight and runs vertically down the image; The background of the image is a close-up of a concrete pavement with small pebbles;", + "overview": "A close-up image of a crack in a concrete pavement.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1/8 inch wide and 2 inches long.", + "trend_shape": "The crack is straight and runs vertically down the image.", + "background": "The background of the image is a close-up of a concrete pavement with small pebbles." + }, + { + "image": "training/images/172.jpg", + "caption": "Asphalt road crack close-up; Crack500 dataset; Crack centers image; Crack: approximate 1.5\" wide, 12\" long; Linear crack diagonally from top left to bottom right; Asphalt road surface close-up;", + "overview": "Asphalt road crack close-up.", + "dataset": "Crack500 dataset", + "location": "Crack centers image.", + "size": "Crack: approximate 1.5\" wide, 12\" long.", + "trend_shape": "Linear crack diagonally from top left to bottom right.", + "background": "Asphalt road surface close-up." + }, + { + "image": "training/images/173.jpg", + "caption": "Asphalt crack image; Crack500 dataset; Central crack runs diagonally from bottom left to top right; Crack: 1.5\" wide, 10\" long; Single, curved crack with jagged edges; Grey asphalt background with small pebbles;", + "overview": "Asphalt crack image.", + "dataset": "Crack500 dataset", + "location": "Central crack runs diagonally from bottom left to top right.", + "size": "Crack: 1.5\" wide, 10\" long", + "trend_shape": "Single, curved crack with jagged edges.", + "background": "Grey asphalt background with small pebbles." + }, + { + "image": "training/images/174.jpg", + "caption": "A close-up image of a crack on an asphalt road surface; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches wide; The crack is linear and runs horizontally across the image; The background of the image is a close-up of an asphalt road surface;", + "overview": "A close-up image of a crack on an asphalt road surface.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "The crack is linear and runs horizontally across the image.", + "background": "The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "training/images/175.jpg", + "caption": "Yellow line with a crack on an asphalt road; Crack500 dataset; Crack bisects image; Crack length: 10 inches; Crack linear; Asphalt backdrop;", + "overview": "Yellow line with a crack on an asphalt road.", + "dataset": "Crack500 dataset", + "location": "Crack bisects image.", + "size": "Crack length: 10 inches.", + "trend_shape": "Crack linear.", + "background": "Asphalt backdrop." + }, + { + "image": "training/images/178.jpg", + "caption": "This is an image of a crack in an asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches wide; The crack is linear and runs horizontally across the image; The background of the image is a close-up of an asphalt pavement;", + "overview": "This is an image of a crack in an asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1.5 inches wide.", + "trend_shape": "The crack is linear and runs horizontally across the image.", + "background": "The background of the image is a close-up of an asphalt pavement." + }, + { + "image": "training/images/179.jpg", + "caption": "This is an image of a crack on an asphalt road surface; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 30 cm long and 1 cm wide; The crack is linear and has a slight curve to the right; The background of the image is a close-up of an asphalt road surface;", + "overview": "This is an image of a crack on an asphalt road surface.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 30 cm long and 1 cm wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "training/images/18.jpg", + "caption": "Crack on asphalt road surface; Crack500 dataset; Horizontal crack in image center; Crack: 1.5\" long, 0.25\" wide; Jagged crack runs straight across image; Asphalt road close-up with pebbles and debris;", + "overview": "Crack on asphalt road surface.", + "dataset": "Crack500 dataset", + "location": "Horizontal crack in image center.", + "size": "Crack: 1.5\" long, 0.25\" wide", + "trend_shape": "Jagged crack runs straight across image.", + "background": "Asphalt road close-up with pebbles and debris." + }, + { + "image": "training/images/181.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, curved line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/182.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 2 mm wide; The crack is a diagonal line and has a rough surface; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "The crack is a diagonal line and has a rough surface.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/183.jpg", + "caption": "Asphalt pavement crack; Crack500 dataset; Crack in image center; Crack: ~20 cm x 1 cm; Winding, jagged crack with sharp turns and relative width; Asphalt pavement background;", + "overview": "Asphalt pavement crack.", + "dataset": "Crack500 dataset", + "location": "Crack in image center.", + "size": "Crack: ~20 cm x 1 cm", + "trend_shape": "Winding, jagged crack with sharp turns and relative width.", + "background": "Asphalt pavement background." + }, + { + "image": "training/images/184.jpg", + "caption": "Asphalt road crack closeup; Crack500 dataset; Horizontal crack in image center; Crack measures 10\" x 1/4\"; Straight crack with minor jagged edges, open and vegetated; Asphalt road surface, dark gray, rough texture;", + "overview": "Asphalt road crack closeup.", + "dataset": "Crack500 dataset", + "location": "Horizontal crack in image center.", + "size": "Crack measures 10\" x 1/4\".", + "trend_shape": "Straight crack with minor jagged edges, open and vegetated.", + "background": "Asphalt road surface, dark gray, rough texture." + }, + { + "image": "training/images/185.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long; The crack is a thin, curved line that runs diagonally across the image; The background of the image is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background of the image is a grey asphalt pavement." + }, + { + "image": "training/images/186.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 3 inches long; The crack is a V-shaped crack that is trending diagonally across the pavement; The background of the image is a close-up of a grey asphalt pavement surface with small pebbles;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 3 inches long.", + "trend_shape": "The crack is a V-shaped crack that is trending diagonally across the pavement.", + "background": "The background of the image is a close-up of a grey asphalt pavement surface with small pebbles." + }, + { + "image": "training/images/188.jpg", + "caption": "Asphalt pavement crack image; Crack500 dataset; Crack is centered; Crack: 1.5\"W x 10\"L; Linear crack with slight right curve; straight and continuous; Asphalt pavement closeup with pebbles and cracks;", + "overview": "Asphalt pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Crack is centered.", + "size": "Crack: 1.5\"W x 10\"L", + "trend_shape": "Linear crack with slight right curve; straight and continuous.", + "background": "Asphalt pavement closeup with pebbles and cracks." + }, + { + "image": "training/images/19.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches wide; The crack is a thin, winding and twisting, with some small branches; The background of the image is grey asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "The crack is a thin, winding and twisting, with some small branches.", + "background": "The background of the image is grey asphalt pavement." + }, + { + "image": "training/images/190.jpg", + "caption": "Pavement crack image; Crack500 dataset; Crack at image center; Crack: 10 cm long, 2 mm wide; Thin, rough diagonal crack from top left to bottom right; Gray asphalt pavement with pebbles;", + "overview": "Pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Crack at image center.", + "size": "Crack: 10 cm long, 2 mm wide.", + "trend_shape": "Thin, rough diagonal crack from top left to bottom right.", + "background": "Gray asphalt pavement with pebbles." + }, + { + "image": "training/images/191.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, curved line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/192.jpg", + "caption": "This is an image of a crack in asphalt; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1/4 inch wide and 10 inches long; The crack is jagged and has a zig-zag pattern, and it is filled with some grass; The background of the image is grey asphalt with small pebbles;", + "overview": "This is an image of a crack in asphalt.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1/4 inch wide and 10 inches long.", + "trend_shape": "The crack is jagged and has a zig-zag pattern, and it is filled with some grass.", + "background": "The background of the image is grey asphalt with small pebbles." + }, + { + "image": "training/images/194.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 1 cm wide; The crack is a straight line with a slight curve at the bottom; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 1 cm wide.", + "trend_shape": "The crack is a straight line with a slight curve at the bottom.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/195.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 20 cm long and 1 cm wide; The crack is a straight line with a slight curve at the end; The background is a close-up of a pavement surface;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 20 cm long and 1 cm wide.", + "trend_shape": "The crack is a straight line with a slight curve at the end.", + "background": "The background is a close-up of a pavement surface." + }, + { + "image": "training/images/198.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 20 centimeters long; The crack is a thin, straight line that runs horizontally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 20 centimeters long.", + "trend_shape": "The crack is a thin, straight line that runs horizontally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/199.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches wide; The crack is linear and runs horizontally across the image; The background is a close-up of asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1.5 inches wide.", + "trend_shape": "The crack is linear and runs horizontally across the image.", + "background": "The background is a close-up of asphalt pavement." + }, + { + "image": "training/images/2.jpg", + "caption": "Asphalt pavement crack; Crack500 dataset; Center crack; 1.5\" wide, 10\" long crack; Thin, winding, twisting crack with missing asphalt edges; Asphalt pavement forms the background;", + "overview": "Asphalt pavement crack.", + "dataset": "Crack500 dataset", + "location": "Center crack", + "size": "1.5\" wide, 10\" long crack.", + "trend_shape": "Thin, winding, twisting crack with missing asphalt edges.", + "background": "Asphalt pavement forms the background." + }, + { + "image": "training/images/20.jpg", + "caption": "Asphalt crack closeup; Crack500 dataset; Crack in image center; 1.5\"W x 12\"L crack; Linear crack with slight rightward curve and minor jagged edges; Asphalt road surface closeup;", + "overview": "Asphalt crack closeup.", + "dataset": "Crack500 dataset", + "location": "Crack in image center.", + "size": "1.5\"W x 12\"L crack", + "trend_shape": "Linear crack with slight rightward curve and minor jagged edges.", + "background": "Asphalt road surface closeup." + }, + { + "image": "training/images/200.jpg", + "caption": "Asphalt crack close-up; Crack500 dataset; Crack at image center; 10\" long, 0.25\" wide crack; Diagonal crack from top left to bottom right; Background: Grey asphalt pavement;", + "overview": "Asphalt crack close-up", + "dataset": "Crack500 dataset", + "location": "Crack at image center.", + "size": "10\" long, 0.25\" wide crack", + "trend_shape": "Diagonal crack from top left to bottom right.", + "background": "Background: Grey asphalt pavement." + }, + { + "image": "training/images/201.jpg", + "caption": "This is an image of a crack on an asphalt pavement surface; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches wide; The crack is a thin, jagged line that runs horizontally across the image; The background of the image is a close-up of an asphalt pavement surface;", + "overview": "This is an image of a crack on an asphalt pavement surface.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "The crack is a thin, jagged line that runs horizontally across the image.", + "background": "The background of the image is a close-up of an asphalt pavement surface." + }, + { + "image": "training/images/202.jpg", + "caption": "A close-up image of a crack in asphalt; Crack500 dataset; The crack is located in the middle of the image; The crack is about 20 cm long and 1 cm wide; The crack is linear and runs diagonally from the top left corner to the bottom right corner of the image; The background of the image is grey asphalt with small pebbles;", + "overview": "A close-up image of a crack in asphalt;", + "dataset": "Crack500 dataset;", + "location": "The crack is located in the middle of the image;", + "size": "The crack is about 20 cm long and 1 cm wide;", + "trend_shape": "The crack is linear and runs diagonally from the top left corner to the bottom right corner of the image;", + "background": "The background of the image is grey asphalt with small pebbles." + }, + { + "image": "training/images/203.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 5 inches long; The crack is a thin, vertical line that is jagged in shape; The background of the image is a grey asphalt road;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 5 inches long.", + "trend_shape": "The crack is a thin, vertical line that is jagged in shape.", + "background": "The background of the image is a grey asphalt road." + }, + { + "image": "training/images/205.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches long; The crack is linear and has a slight curve to the right; The background is a grey concrete slab;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1.5 inches long.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background is a grey concrete slab." + }, + { + "image": "training/images/206.jpg", + "caption": "Cracked concrete pavement, diagonal crack from bottom left to top right; Crack500 dataset; Crack in image center; Crack: 1.5\" wide; Straight crack, slight right curve midsection; Concrete pavement closeup with pebbles;", + "overview": "Cracked concrete pavement, diagonal crack from bottom left to top right.", + "dataset": "Crack500 dataset", + "location": "Crack in image center.", + "size": "Crack: 1.5\" wide", + "trend_shape": "Straight crack, slight right curve midsection.", + "background": "Concrete pavement closeup with pebbles." + }, + { + "image": "training/images/207.jpg", + "caption": "Asphalt road crack image; Crack500 dataset; Mid-image horizontal crack; Crack: 1.5\" wide, 10\" long; Curved crack extending straight right; Asphalt road surface with visible pebbles and cracks;", + "overview": "Asphalt road crack image.", + "dataset": "Crack500 dataset", + "location": "Mid-image horizontal crack.", + "size": "Crack: 1.5\" wide, 10\" long", + "trend_shape": "Curved crack extending straight right.", + "background": "Asphalt road surface with visible pebbles and cracks." + }, + { + "image": "training/images/208.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long; The crack is a jagged line that runs horizontally across the image; The background of the image is a grey asphalt road;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "The crack is a jagged line that runs horizontally across the image.", + "background": "The background of the image is a grey asphalt road." + }, + { + "image": "training/images/209.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 3 inches long; The crack is a thin, vertical line that is jagged in shape; The background of the image is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 3 inches long.", + "trend_shape": "The crack is a thin, vertical line that is jagged in shape.", + "background": "The background of the image is a grey asphalt pavement." + }, + { + "image": "training/images/210.jpg", + "caption": "A close-up image of a crack in an asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches long; The crack is a thin, linear feature with a slightly meandering path; The background of the image is a close-up of an asphalt pavement surface;", + "overview": "A close-up image of a crack in an asphalt pavement.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches long.", + "trend_shape": "The crack is a thin, linear feature with a slightly meandering path.", + "background": "The background of the image is a close-up of an asphalt pavement surface." + }, + { + "image": "training/images/211.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, curved line. It is oriented diagonally from the top left corner to the bottom right corner of the image; The background of the image is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, curved line. It is oriented diagonally from the top left corner to the bottom right corner of the image.", + "background": "The background of the image is a grey asphalt pavement." + }, + { + "image": "training/images/212.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, winding and twisting crack, with some small branches; The background of the image is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, winding and twisting crack, with some small branches.", + "background": "The background of the image is a grey asphalt pavement." + }, + { + "image": "training/images/213.jpg", + "caption": "Asphalt pavement crack, close-up; Crack500 dataset; Mid-image, horizontal crack; Crack: ~1.5\" long x 0.25\" wide; Straight crack with minor jags; Asphalt pavement closeup with pebbles and cracks;", + "overview": "Asphalt pavement crack, close-up.", + "dataset": "Crack500 dataset", + "location": "Mid-image, horizontal crack.", + "size": "Crack: ~1.5\" long x 0.25\" wide", + "trend_shape": "Straight crack with minor jags.", + "background": "Asphalt pavement closeup with pebbles and cracks" + }, + { + "image": "training/images/214.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long; The crack is a thin, curved line that runs diagonally across the image; The background of the image is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background of the image is a grey asphalt pavement." + }, + { + "image": "training/images/216.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches wide; The crack is linear and has a slight curve to the right; The background is a close-up of asphalt pavement with small pebbles;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background is a close-up of asphalt pavement with small pebbles." + }, + { + "image": "training/images/217.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, straight line. It has a slight curve to the right; The background is a grey asphalt road;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, straight line. It has a slight curve to the right.", + "background": "The background is a grey asphalt road." + }, + { + "image": "training/images/219.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, curved line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/22.jpg", + "caption": "This is an image of a crack in an asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long and 1/4 inch wide; The crack is jagged and has a zig-zag pattern; The background of the image is gray asphalt pavement;", + "overview": "This is an image of a crack in an asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long and 1/4 inch wide.", + "trend_shape": "The crack is jagged and has a zig-zag pattern.", + "background": "The background of the image is gray asphalt pavement." + }, + { + "image": "training/images/220.jpg", + "caption": "Crack in asphalt road surface; Crack500 dataset; Crack bisects image; Crack: 30 cm x 1 cm; Linear crack with slight rightward curvature and uniform width; Asphalt road surface in close-up;", + "overview": "Crack in asphalt road surface.", + "dataset": "Crack500 dataset", + "location": "Crack bisects image.", + "size": "Crack: 30 cm x 1 cm", + "trend_shape": "Linear crack with slight rightward curvature and uniform width.", + "background": "Asphalt road surface in close-up." + }, + { + "image": "training/images/221.jpg", + "caption": "This is an image of a crack on an asphalt pavement surface; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches wide; The crack is linear and runs horizontally across the image; The background of the image is gray asphalt pavement;", + "overview": "This is an image of a crack on an asphalt pavement surface.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "The crack is linear and runs horizontally across the image.", + "background": "The background of the image is gray asphalt pavement." + }, + { + "image": "training/images/222.jpg", + "caption": "Asphalt road crack image; Crack500 dataset; Horizontal crack in center of image; 1.5\" wide x 10\" long crack; Serpentine sealed crack, trending 15 degrees; Asphalt road with pebbles and cracks;", + "overview": "Asphalt road crack image.", + "dataset": "Crack500 dataset", + "location": "Horizontal crack in center of image.", + "size": "1.5\" wide x 10\" long crack.", + "trend_shape": "Serpentine sealed crack, trending 15 degrees.", + "background": "Asphalt road with pebbles and cracks." + }, + { + "image": "training/images/223.jpg", + "caption": "Asphalt road surface crack; Crack500 dataset; Crack in image center; Crack: 10\" long, 0.25\" wide; Linear crack with jagged edges, running horizontally; Close-up of cracked asphalt road surface;", + "overview": "Asphalt road surface crack.", + "dataset": "Crack500 dataset", + "location": "Crack in image center.", + "size": "Crack: 10\" long, 0.25\" wide", + "trend_shape": "Linear crack with jagged edges, running horizontally.", + "background": "Close-up of cracked asphalt road surface." + }, + { + "image": "training/images/224.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, winding and twisting crack, with a slight curve to the right; The background of the image is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, winding and twisting crack, with a slight curve to the right.", + "background": "The background of the image is a grey asphalt pavement." + }, + { + "image": "training/images/226.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, curved line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/227.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 10 inches long; The crack is a thin, linear feature with a rough surface. It is oriented horizontally across the image; The background of the image is a grey asphalt pavement with small pebbles;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 10 inches long.", + "trend_shape": "The crack is a thin, linear feature with a rough surface. It is oriented horizontally across the image.", + "background": "The background of the image is a grey asphalt pavement with small pebbles." + }, + { + "image": "training/images/229.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 1 cm wide; The crack is a jagged line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 1 cm wide.", + "trend_shape": "The crack is a jagged line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/230.jpg", + "caption": "Pavement crack image; Crack500 dataset; Crack in image center; 10\" crack, 1/4\" wide; Winding, twisting crack with sharp turns, wide width, and jagged edges; Asphalt road surface closeup with pebbles;", + "overview": "Pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Crack in image center.", + "size": "10\" crack, 1/4\" wide", + "trend_shape": "Winding, twisting crack with sharp turns, wide width, and jagged edges.", + "background": "Asphalt road surface closeup with pebbles." + }, + { + "image": "training/images/231.jpg", + "caption": "This is an image of a crack on an asphalt road surface; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches wide; The crack is linear and has a slight curve to the right; The background of the image is a close-up of an asphalt road surface;", + "overview": "This is an image of a crack on an asphalt road surface.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1.5 inches wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "training/images/232.jpg", + "caption": "This is an image of a crack in asphalt pavement.; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches wide; The crack is linear and runs horizontally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.;", + "dataset": "Crack500 dataset;", + "location": "The crack is located in the middle of the image;", + "size": "The crack is approximately 1.5 inches wide;", + "trend_shape": "The crack is linear and runs horizontally across the image;", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/233.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches long; The crack is a thin, winding and twisting crack, with a slight curve to the right; The background of the image is a grey asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches long.", + "trend_shape": "The crack is a thin, winding and twisting crack, with a slight curve to the right.", + "background": "The background of the image is a grey asphalt pavement." + }, + { + "image": "training/images/234.jpg", + "caption": "Asphalt pavement crack image; Crack500 dataset; Crack in image center; 10 cm long, 1 mm wide crack; Rough 45 degree linear crack; Gray asphalt pavement provides a uniform backdrop;", + "overview": "Asphalt pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Crack in image center.", + "size": "10 cm long, 1 mm wide crack.", + "trend_shape": "Rough 45 degree linear crack.", + "background": "Gray asphalt pavement provides a uniform backdrop." + }, + { + "image": "training/images/236.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long and 1/4 inch wide; The crack is linear and has a slight curve to the right; The background is asphalt pavement with small pebbles;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long and 1/4 inch wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background is asphalt pavement with small pebbles." + }, + { + "image": "training/images/237.jpg", + "caption": "This is an image of a crack on an asphalt pavement surface; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches long and 0.25 inches wide; The crack is linear and has a slight zigzag shape; The background of the image is a close-up of an asphalt pavement surface;", + "overview": "This is an image of a crack on an asphalt pavement surface.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches long and 0.25 inches wide.", + "trend_shape": "The crack is linear and has a slight zigzag shape.", + "background": "The background of the image is a close-up of an asphalt pavement surface." + }, + { + "image": "training/images/24.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 1 cm wide; The crack is a thin, curved line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 1 cm wide.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/241.jpg", + "caption": "Cracked asphalt pavement close-up; Crack500 dataset; Center crack; Crack: 1.5\" long, 0.25\" wide; Linear crack bisects image vertically; Asphalt pavement background, out of focus, with small pebbles;", + "overview": "Cracked asphalt pavement close-up", + "dataset": "Crack500 dataset", + "location": "Center crack.", + "size": "Crack: 1.5\" long, 0.25\" wide", + "trend_shape": "Linear crack bisects image vertically", + "background": "Asphalt pavement background, out of focus, with small pebbles." + }, + { + "image": "training/images/243.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches wide; The crack is linear with a slight curve towards the top and is oriented at approximately 45 degrees to the horizontal; The background is a grey asphalt pavement with small pebbles;", + "overview": "This is an image of a crack in asphalt pavement;", + "dataset": "Crack500 dataset;", + "location": "The crack is located in the middle of the image;", + "size": "The crack is about 1.5 inches wide;", + "trend_shape": "The crack is linear with a slight curve towards the top and is oriented at approximately 45 degrees to the horizontal;", + "background": "The background is a grey asphalt pavement with small pebbles." + }, + { + "image": "training/images/244.jpg", + "caption": "Pavement crack image; Crack500 dataset; Crack at image center; Crack: 10 cm long, 1 cm wide; Curved horizontal crack with a serpentine shape; Gray asphalt road with small pebbles;", + "overview": "Pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Crack at image center.", + "size": "Crack: 10 cm long, 1 cm wide", + "trend_shape": "Curved horizontal crack with a serpentine shape.", + "background": "Gray asphalt road with small pebbles." + }, + { + "image": "training/images/245.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, curved line that runs diagonally across the image; The background is a grey, pebbled asphalt road surface;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background is a grey, pebbled asphalt road surface." + }, + { + "image": "training/images/246.jpg", + "caption": "This is an image of a crack in asphalt; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches wide; The crack is linear and runs diagonally across the image; The background of the image is grey asphalt;", + "overview": "This is an image of a crack in asphalt.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1.5 inches wide.", + "trend_shape": "The crack is linear and runs diagonally across the image.", + "background": "The background of the image is grey asphalt." + }, + { + "image": "training/images/247.jpg", + "caption": "Asphalt road crack image; Crack500 dataset; Mid-image horizontal crack; Crack: ~1.5\" long, 0.25\" wide; Horizontal crack in image; Asphalt road surface with pebbles and larger rocks;", + "overview": "Asphalt road crack image.", + "dataset": "Crack500 dataset", + "location": "Mid-image horizontal crack.", + "size": "Crack: ~1.5\" long, 0.25\" wide", + "trend_shape": "Horizontal crack in image.", + "background": "Asphalt road surface with pebbles and larger rocks." + }, + { + "image": "training/images/248.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, curved line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/25.jpg", + "caption": "Crack on asphalt road surface; Crack500 dataset; Mid-image, horizontal crack; 10\" long, 1/4\" wide crack; Horizontal thin, straight crack in image; Asphalt road surface close-up;", + "overview": "Crack on asphalt road surface.", + "dataset": "Crack500 dataset", + "location": "Mid-image, horizontal crack.", + "size": "10\" long, 1/4\" wide crack", + "trend_shape": "Horizontal thin, straight crack in image.", + "background": "Asphalt road surface close-up." + }, + { + "image": "training/images/250.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long; The crack is a curving line that is wider in the middle and narrower at the ends; The background is a grey asphalt road;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "The crack is a curving line that is wider in the middle and narrower at the ends.", + "background": "The background is a grey asphalt road." + }, + { + "image": "training/images/251.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long; The crack is zigzag-shaped and has a slight downward trend; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "The crack is zigzag-shaped and has a slight downward trend.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/252.jpg", + "caption": "Asphalt pavement crack close-up; Crack500 dataset; Mid-image horizontal crack; Crack: 10\" long, 1/4\" wide; Serpentine, slightly curved crack; Asphalt pavement close-up with pebbles and debris;", + "overview": "Asphalt pavement crack close-up.", + "dataset": "Crack500 dataset", + "location": "Mid-image horizontal crack.", + "size": "Crack: 10\" long, 1/4\" wide", + "trend_shape": "Serpentine, slightly curved crack.", + "background": "Asphalt pavement close-up with pebbles and debris." + }, + { + "image": "training/images/253.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 3 inches long; The crack is a thin, curved line that runs diagonally across the image; The background is a grey, pebbled asphalt road surface;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 3 inches long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background is a grey, pebbled asphalt road surface." + }, + { + "image": "training/images/254.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the center of the image; The crack is approximately 15 centimeters long; The crack is a thin, vertical line that is jagged in shape; The background of the image is a close-up of asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the center of the image.", + "size": "The crack is approximately 15 centimeters long.", + "trend_shape": "The crack is a thin, vertical line that is jagged in shape.", + "background": "The background of the image is a close-up of asphalt pavement." + }, + { + "image": "training/images/255.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 2 mm wide; The crack is a thin, linear feature with a rough surface. It is oriented at a 45-degree angle to the horizontal; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "The crack is a thin, linear feature with a rough surface. It is oriented at a 45-degree angle to the horizontal.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/256.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, straight line. It is oriented at a 45-degree angle; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, straight line. It is oriented at a 45-degree angle.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/257.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, vertical line that is jagged in shape; The background of the image is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, vertical line that is jagged in shape.", + "background": "The background of the image is a grey asphalt pavement." + }, + { + "image": "training/images/258.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches long and 0.5 inches wide; The crack is linear and has a jagged edge; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1.5 inches long and 0.5 inches wide.", + "trend_shape": "The crack is linear and has a jagged edge.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/259.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 1 mm wide; The crack is linear and has a slight curve to the right; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 1 mm wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/26.jpg", + "caption": "A close-up image of a single crack on a concrete surface; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 10 cm long and 1 mm wide; The crack is linear and has a slight curve to the right; The background is a uniform concrete surface;", + "overview": "A close-up image of a single crack on a concrete surface.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 10 cm long and 1 mm wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background is a uniform concrete surface." + }, + { + "image": "training/images/262.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 10 inches long and 1/4 inch wide; The crack is linear and runs horizontally across the image; The background is a close-up of asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 10 inches long and 1/4 inch wide.", + "trend_shape": "The crack is linear and runs horizontally across the image.", + "background": "The background is a close-up of asphalt pavement." + }, + { + "image": "training/images/263.jpg", + "caption": "Asphalt road crack closeup; Crack500 dataset; Diagonal crack bisects image; Crack: 10\" long, 1/4\" wide; Jagged, linear crack; Asphalt road surface closeup;", + "overview": "Asphalt road crack closeup.", + "dataset": "Crack500 dataset", + "location": "Diagonal crack bisects image.", + "size": "Crack: 10\" long, 1/4\" wide", + "trend_shape": "Jagged, linear crack.", + "background": "Asphalt road surface closeup." + }, + { + "image": "training/images/265.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 2 mm wide; The crack is linear and has a slight curve to the right; The background of the image is grey and consists of small pebbles;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background of the image is grey and consists of small pebbles." + }, + { + "image": "training/images/266.jpg", + "caption": "Close-up of an asphalt road crack; Crack500 dataset; Crack in image center; 3\" long, 1/4\" wide crack; Diagonal linear crack in image; Asphalt road surface closeup with pebbles and rocks;", + "overview": "Close-up of an asphalt road crack.", + "dataset": "Crack500 dataset", + "location": "Crack in image center.", + "size": "3\" long, 1/4\" wide crack.", + "trend_shape": "Diagonal linear crack in image.", + "background": "Asphalt road surface closeup with pebbles and rocks" + }, + { + "image": "training/images/267.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, winding and twisting, with a slight curve to the right; The background of the image is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, winding and twisting, with a slight curve to the right.", + "background": "The background of the image is a grey asphalt pavement." + }, + { + "image": "training/images/268.jpg", + "caption": "Cracked concrete surface, close-up; Crack500 dataset; Concrete is extensively cracked; Cracks range from hairline to several inches in length; Cracks are primarily linear, with some curved exceptions; Concrete backdrop;", + "overview": "Cracked concrete surface, close-up.", + "dataset": "Crack500 dataset", + "location": "Concrete is extensively cracked.", + "size": "Cracks range from hairline to several inches in length.", + "trend_shape": "Cracks are primarily linear, with some curved exceptions.", + "background": "Concrete backdrop." + }, + { + "image": "training/images/269.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 2 mm wide; The crack is a jagged line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "The crack is a jagged line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/27.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 1 mm wide; The crack is a straight line with a slight curve to the right; The background is a grey asphalt road;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 1 mm wide.", + "trend_shape": "The crack is a straight line with a slight curve to the right.", + "background": "The background is a grey asphalt road." + }, + { + "image": "training/images/270.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 3 inches long; The crack is a thin, vertical line that is jagged in shape; The background of the image is a grey asphalt road;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 3 inches long.", + "trend_shape": "The crack is a thin, vertical line that is jagged in shape.", + "background": "The background of the image is a grey asphalt road." + }, + { + "image": "training/images/271.jpg", + "caption": "This is an image of a crack on an asphalt pavement surface; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches wide; The crack is linear and has a slight curve to the right; The background of the image is a close-up of an asphalt pavement surface;", + "overview": "This is an image of a crack on an asphalt pavement surface.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background of the image is a close-up of an asphalt pavement surface." + }, + { + "image": "training/images/272.jpg", + "caption": "This is an image of a crack in asphalt; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long; The crack is a thin, straight line that runs diagonally across the image; The background is a grey asphalt road;", + "overview": "This is an image of a crack in asphalt.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "The crack is a thin, straight line that runs diagonally across the image.", + "background": "The background is a grey asphalt road." + }, + { + "image": "training/images/273.jpg", + "caption": "A close-up image of a crack on an asphalt road surface; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 1 cm wide; The crack is linear and has a slight zigzag shape; The background of the image is a close-up of an asphalt road surface;", + "overview": "A close-up image of a crack on an asphalt road surface.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 1 cm wide.", + "trend_shape": "The crack is linear and has a slight zigzag shape.", + "background": "The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "training/images/274.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 10 inches long; The crack is a thin, linear feature with a slightly meandering path; The background of the image is a close-up of asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 10 inches long.", + "trend_shape": "The crack is a thin, linear feature with a slightly meandering path.", + "background": "The background of the image is a close-up of asphalt pavement." + }, + { + "image": "training/images/276.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches wide; The crack is linear and runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "The crack is linear and runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/277.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches wide; The crack is linear and runs horizontally across the image; The background of the image is grey asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "The crack is linear and runs horizontally across the image.", + "background": "The background of the image is grey asphalt pavement." + }, + { + "image": "training/images/278.jpg", + "caption": "A close-up image of a crack in an asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches wide and 10 inches long; The crack is linear with a slight curve to the right; The background of the image is a close-up of an asphalt pavement with small pebbles;", + "overview": "A close-up image of a crack in an asphalt pavement;", + "dataset": "Crack500 dataset;", + "location": "The crack is located in the middle of the image;", + "size": "The crack is about 1.5 inches wide and 10 inches long;", + "trend_shape": "The crack is linear with a slight curve to the right;", + "background": "The background of the image is a close-up of an asphalt pavement with small pebbles." + }, + { + "image": "training/images/279.jpg", + "caption": "This is an image of a crack in asphalt; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long and 1/4 inch wide; The crack is linear with a slight curve to the right; The background of the image is grey asphalt with small pebbles;", + "overview": "This is an image of a crack in asphalt.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long and 1/4 inch wide.", + "trend_shape": "The crack is linear with a slight curve to the right.", + "background": "The background of the image is grey asphalt with small pebbles." + }, + { + "image": "training/images/28.jpg", + "caption": "This is an image of a crack on an asphalt pavement surface; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 10 inches long and 0.25 inches wide; The crack is linear and has a slight curve to the right; The background of the image is a close-up of an asphalt pavement surface;", + "overview": "This is an image of a crack on an asphalt pavement surface.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 10 inches long and 0.25 inches wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background of the image is a close-up of an asphalt pavement surface." + }, + { + "image": "training/images/280.jpg", + "caption": "Asphalt crack image; Crack500 dataset; Crack at image center; 10\" long, 1/4\" wide crack; Linear crack with slight right curvature; Asphalt road surfacecloseup, small pebbles, cracks;", + "overview": "Asphalt crack image.", + "dataset": "Crack500 dataset", + "location": "Crack at image center.", + "size": "10\" long, 1/4\" wide crack", + "trend_shape": "Linear crack with slight right curvature.", + "background": "Asphalt road surfacecloseup, small pebbles, cracks." + }, + { + "image": "training/images/281.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches wide; The crack is linear and has a slight curve to the right; The background is a close-up of asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background is a close-up of asphalt pavement." + }, + { + "image": "training/images/282.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches wide; The crack is a thin, winding and twisting crack, with a slight curve to the right; The background is a close-up of asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1.5 inches wide.", + "trend_shape": "The crack is a thin, winding and twisting crack, with a slight curve to the right.", + "background": "The background is a close-up of asphalt pavement." + }, + { + "image": "training/images/283.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, curved line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/285.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 2 mm wide; The crack is a V-shaped and it is nearly straight; The background of the image is a close-up of a grey asphalt pavement with small pebbles;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "The crack is a V-shaped and it is nearly straight.", + "background": "The background of the image is a close-up of a grey asphalt pavement with small pebbles." + }, + { + "image": "training/images/286.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, vertical line that is jagged in shape; The background of the image is a grey asphalt road;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, vertical line that is jagged in shape.", + "background": "The background of the image is a grey asphalt road." + }, + { + "image": "training/images/287.jpg", + "caption": "This is an image of a crack in an asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches long; The crack is a thin, straight line that runs diagonally across the image; The background of the image is a close-up of an asphalt pavement;", + "overview": "This is an image of a crack in an asphalt pavement.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1.5 inches long.", + "trend_shape": "The crack is a thin, straight line that runs diagonally across the image.", + "background": "The background of the image is a close-up of an asphalt pavement." + }, + { + "image": "training/images/288.jpg", + "caption": "This is an image of a crack in asphalt; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches wide; The crack is linear and runs horizontally across the image; The background is asphalt;", + "overview": "This is an image of a crack in asphalt.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1.5 inches wide.", + "trend_shape": "The crack is linear and runs horizontally across the image.", + "background": "The background is asphalt." + }, + { + "image": "training/images/289.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches long; The crack is a thin, curved line that runs diagonally across the image; The background of the image is grey asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background of the image is grey asphalt pavement." + }, + { + "image": "training/images/290.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long and 1/4 inch wide; The crack is a jagged line that runs diagonally across the image; The background of the image is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long and 1/4 inch wide.", + "trend_shape": "The crack is a jagged line that runs diagonally across the image.", + "background": "The background of the image is a grey asphalt pavement." + }, + { + "image": "training/images/291.jpg", + "caption": "Asphalt pavement crack closeup; Crack500 dataset; Crack in middle of image; Crack is ~1.5 inches long; Linear crack diagonally from top left to bottom right; Asphalt pavement closeup with pebbles;", + "overview": "Asphalt pavement crack closeup", + "dataset": "Crack500 dataset", + "location": "Crack in middle of image.", + "size": "Crack is ~1.5 inches long", + "trend_shape": "Linear crack diagonally from top left to bottom right.", + "background": "Asphalt pavement closeup with pebbles." + }, + { + "image": "training/images/293.jpg", + "caption": "Pavement crack image; Crack500 dataset; Image center has crack; Crack: 10 cm x 2 mm; Winding, twisting crack with sharp turns, relatively wide, possibly old; Grey asphalt pavement surface with pebbles;", + "overview": "Pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Image center has crack.", + "size": "Crack: 10 cm x 2 mm", + "trend_shape": "Winding, twisting crack with sharp turns, relatively wide, possibly old.", + "background": "Grey asphalt pavement surface with pebbles." + }, + { + "image": "training/images/294.jpg", + "caption": "Asphalt pavement crack closeup; Crack500 dataset; Crack in image center; Crack: 1.5\" x 0.25\"; Linear crack with slight rightward curvature; Asphalt pavement closeup with pebbles;", + "overview": "Asphalt pavement crack closeup.", + "dataset": "Crack500 dataset", + "location": "Crack in image center.", + "size": "Crack: 1.5\" x 0.25\"", + "trend_shape": "Linear crack with slight rightward curvature.", + "background": "Asphalt pavement closeup with pebbles." + }, + { + "image": "training/images/295.jpg", + "caption": "This is an image of a crack on an asphalt pavement surface; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches long; The crack is a thin, winding and twisting crack, with a slight curve to the right; The background of the image is a grey asphalt pavement surface;", + "overview": "This is an image of a crack on an asphalt pavement surface.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches long.", + "trend_shape": "The crack is a thin, winding and twisting crack, with a slight curve to the right.", + "background": "The background of the image is a grey asphalt pavement surface." + }, + { + "image": "training/images/296.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long and 1/4 inch wide; The crack is a single, continuous crack that runs in a zigzag pattern; The background is a close-up of asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long and 1/4 inch wide.", + "trend_shape": "The crack is a single, continuous crack that runs in a zigzag pattern.", + "background": "The background is a close-up of asphalt pavement." + }, + { + "image": "training/images/3.jpg", + "caption": "Asphalt road with large crack; Crack500 dataset; Middle image crack; 1.5' long, 0.5\" wide crack; Single continuous crack runs left to right across image, exhibiting slight bends and curves; Asphalt road close-up with black sneaker in corner;", + "overview": "Asphalt road with large crack.", + "dataset": "Crack500 dataset", + "location": "Middle image crack.", + "size": "1.5' long, 0.5\" wide crack", + "trend_shape": "Single continuous crack runs left to right across image, exhibiting slight bends and curves.", + "background": "Asphalt road close-up with black sneaker in corner." + }, + { + "image": "training/images/30.jpg", + "caption": "A close-up image of a crack in asphalt; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches long and 0.25 inches wide; The crack is fairly straight with a slight zig-zag pattern; The background of the image is grey asphalt with small pebbles;", + "overview": "A close-up image of a crack in asphalt.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1.5 inches long and 0.25 inches wide.", + "trend_shape": "The crack is fairly straight with a slight zig-zag pattern.", + "background": "The background of the image is grey asphalt with small pebbles." + }, + { + "image": "training/images/301.jpg", + "caption": "Asphalt crack closeup; Crack500 dataset; Crack in image center; Crack: 1.5\" wide, 10\" long; Linear crack diagonally top left to bottom right; Asphalt pavement with pebbles and cracks;", + "overview": "Asphalt crack closeup.", + "dataset": "Crack500 dataset", + "location": "Crack in image center.", + "size": "Crack: 1.5\" wide, 10\" long.", + "trend_shape": "Linear crack diagonally top left to bottom right.", + "background": "Asphalt pavement with pebbles and cracks." + }, + { + "image": "training/images/302.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 1 cm wide; The crack is a winding crack; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 1 cm wide.", + "trend_shape": "The crack is a winding crack.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/303.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, curved line that runs horizontally across the image. The crack has a slight zigzag pattern; The background of the image is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, curved line that runs horizontally across the image. The crack has a slight zigzag pattern.", + "background": "The background of the image is a grey asphalt pavement." + }, + { + "image": "training/images/304.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 10 inches long and 0.5 inches wide; The crack is linear and has a slight curve to the right; The background is a close-up of asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 10 inches long and 0.5 inches wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background is a close-up of asphalt pavement." + }, + { + "image": "training/images/306.jpg", + "caption": "A close-up image of a crack in asphalt; Crack500 dataset; The crack is located in the center of the image; The crack is approximately 10 cm long and 2 mm wide; The crack is linear and has a slight curve to the right; The background of the image is grey asphalt with small pebbles;", + "overview": "A close-up image of a crack in asphalt.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the center of the image.", + "size": "The crack is approximately 10 cm long and 2 mm wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background of the image is grey asphalt with small pebbles." + }, + { + "image": "training/images/308.jpg", + "caption": "Close-up asphalt crack; Crack500 dataset; Crack at image center; Crack: 1/4\" wide, 12\" long; Linear crack diagonally from top left to bottom right; Asphalt pavement background with pebbles;", + "overview": "Close-up asphalt crack", + "dataset": "Crack500 dataset", + "location": "Crack at image center.", + "size": "Crack: 1/4\" wide, 12\" long.", + "trend_shape": "Linear crack diagonally from top left to bottom right.", + "background": "Asphalt pavement background with pebbles." + }, + { + "image": "training/images/309.jpg", + "caption": "Asphalt road crack closeup; Crack500 dataset; Horizontal crack in image center; Crack: 1.5\"L x 0.25\"W; Linear crack with slight right curvature; Asphalt road surface closeup;", + "overview": "Asphalt road crack closeup.", + "dataset": "Crack500 dataset", + "location": "Horizontal crack in image center.", + "size": "Crack: 1.5\"L x 0.25\"W", + "trend_shape": "Linear crack with slight right curvature.", + "background": "Asphalt road surface closeup." + }, + { + "image": "training/images/31.jpg", + "caption": "Asphalt road surface crack image; Crack500 dataset; Middle of image, horizontal crack; 1.5\" x 10\" crack; Jagged, zig-zag crack; Dark, rough asphalt road surface closeup;", + "overview": "Asphalt road surface crack image.", + "dataset": "Crack500 dataset", + "location": "Middle of image, horizontal crack.", + "size": "1.5\" x 10\" crack.", + "trend_shape": "Jagged, zig-zag crack.", + "background": "Dark, rough asphalt road surface closeup." + }, + { + "image": "training/images/310.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 2 mm wide; The crack is a thin, winding and twisting crack, with some small pieces of asphalt missing; The background of the image is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "The crack is a thin, winding and twisting crack, with some small pieces of asphalt missing.", + "background": "The background of the image is a grey asphalt pavement." + }, + { + "image": "training/images/311.jpg", + "caption": "A close-up image of a crack in an asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches long; The crack is a thin, vertical line that is slightly curved; The background is a close-up of an asphalt pavement;", + "overview": "A close-up image of a crack in an asphalt pavement;", + "dataset": "Crack500 dataset;", + "location": "The crack is located in the middle of the image;", + "size": "The crack is approximately 1.5 inches long;", + "trend_shape": "The crack is a thin, vertical line that is slightly curved;", + "background": "The background is a close-up of an asphalt pavement." + }, + { + "image": "training/images/312.jpg", + "caption": "A close-up image of a crack in an asphalt pavement; Crack500 dataset; The crack is located in the center of the image; The crack is approximately 20 cm long and 1 cm wide; The crack is linear and has a slight curve to the right; The background of the image is a close-up of an asphalt pavement;", + "overview": "A close-up image of a crack in an asphalt pavement.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the center of the image.", + "size": "The crack is approximately 20 cm long and 1 cm wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background of the image is a close-up of an asphalt pavement." + }, + { + "image": "training/images/313.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, curved line; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, curved line.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/314.jpg", + "caption": "This is an image of a crack in asphalt; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1/4 inch wide and 2 feet long; The crack is linear with a slight curve to the right; The background is a close-up of asphalt;", + "overview": "This is an image of a crack in asphalt;", + "dataset": "Crack500 dataset;", + "location": "The crack is located in the middle of the image;", + "size": "The crack is about 1/4 inch wide and 2 feet long;", + "trend_shape": "The crack is linear with a slight curve to the right;", + "background": "The background is a close-up of asphalt." + }, + { + "image": "training/images/316.jpg", + "caption": "Asphalt pavement crack image; Crack500 dataset; Crack at image center; Crack approx. 1.5 inches wide; Winding, twisting crack spans image with sharp turns; Asphalt pavement background in closeup;", + "overview": "Asphalt pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Crack at image center.", + "size": "Crack approx. 1.5 inches wide.", + "trend_shape": "Winding, twisting crack spans image with sharp turns.", + "background": "Asphalt pavement background in closeup" + }, + { + "image": "training/images/317.jpg", + "caption": "This is an image of a crack in asphalt; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches long; The crack is a thin, curved line that runs diagonally across the image; The background of the image is gray asphalt;", + "overview": "This is an image of a crack in asphalt.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1.5 inches long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background of the image is gray asphalt." + }, + { + "image": "training/images/318.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 1 mm wide; The crack is a thin, curved line that runs horizontally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 1 mm wide.", + "trend_shape": "The crack is a thin, curved line that runs horizontally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/32.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 2 mm wide; The crack is a thin, curved line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/320.jpg", + "caption": "Pavement crack image; Crack500 dataset; Crack at image center; 1/4\" wide x 10\" long crack; Winding and wide crack with sharp turns, indicating age; Asphalt road surface with pebbles in closeup;", + "overview": "Pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Crack at image center.", + "size": "1/4\" wide x 10\" long crack", + "trend_shape": "Winding and wide crack with sharp turns, indicating age.", + "background": "Asphalt road surface with pebbles in closeup" + }, + { + "image": "training/images/321.jpg", + "caption": "This is an image of a crack in asphalt; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1/4 inch wide and 12 inches long; The crack is linear and runs diagonally across the image; The background is grey asphalt with small pebbles;", + "overview": "This is an image of a crack in asphalt.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1/4 inch wide and 12 inches long.", + "trend_shape": "The crack is linear and runs diagonally across the image.", + "background": "The background is grey asphalt with small pebbles." + }, + { + "image": "training/images/322.jpg", + "caption": "This is an image of a crack in an asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long and 1/4 inch wide; The crack is a sealed crack with a slight curve; The background is a close-up of an asphalt pavement with small pebbles;", + "overview": "This is an image of a crack in an asphalt pavement.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long and 1/4 inch wide.", + "trend_shape": "The crack is a sealed crack with a slight curve.", + "background": "The background is a close-up of an asphalt pavement with small pebbles." + }, + { + "image": "training/images/324.jpg", + "caption": "Asphalt pavement crack closeup; Crack500 dataset; Mid-image crack; Crack length: 3 inches; Thin diagonal crack runs top left to bottom right; Asphalt pavement closeup with pebbles and cracks;", + "overview": "Asphalt pavement crack closeup", + "dataset": "Crack500 dataset", + "location": "Mid-image crack.", + "size": "Crack length: 3 inches", + "trend_shape": "Thin diagonal crack runs top left to bottom right.", + "background": "Asphalt pavement closeup with pebbles and cracks." + }, + { + "image": "training/images/326.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm in length; The crack is a thin, winding and twisting crack, with a slight curve to the right; The background is a grey asphalt road surface;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm in length.", + "trend_shape": "The crack is a thin, winding and twisting crack, with a slight curve to the right.", + "background": "The background is a grey asphalt road surface." + }, + { + "image": "training/images/327.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches wide; The crack is linear and runs horizontally across the image; The background is a close-up of asphalt pavement with small pebbles;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "The crack is linear and runs horizontally across the image.", + "background": "The background is a close-up of asphalt pavement with small pebbles." + }, + { + "image": "training/images/328.jpg", + "caption": "Asphalt parking lot crack; Crack500 dataset; Diagonal crack bisects image's center; Crack: 1.5in wide, 10in long; Straight crack with minor deviations contains dark material; Asphalt background with pebbles and brown shoes at bottom right;", + "overview": "Asphalt parking lot crack.", + "dataset": "Crack500 dataset", + "location": "Diagonal crack bisects image's center.", + "size": "Crack: 1.5in wide, 10in long.", + "trend_shape": "Straight crack with minor deviations contains dark material.", + "background": "Asphalt background with pebbles and brown shoes at bottom right." + }, + { + "image": "training/images/329.jpg", + "caption": "Asphalt surface crack close-up; Crack500 dataset; Crack is centered in image; Crack: 10 cm long, 1 mm wide; Curved linear crack; Asphalt road with pebbles and cracks closeup;", + "overview": "Asphalt surface crack close-up.", + "dataset": "Crack500 dataset", + "location": "Crack is centered in image.", + "size": "Crack: 10 cm long, 1 mm wide.", + "trend_shape": "Curved linear crack.", + "background": "Asphalt road with pebbles and cracks closeup." + }, + { + "image": "training/images/33.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 1 mm wide; The crack is a straight line with a slight curve to the right; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 1 mm wide.", + "trend_shape": "The crack is a straight line with a slight curve to the right.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/330.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 2 mm wide; The crack is a straight line that runs vertically down the image; The background of the image is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "The crack is a straight line that runs vertically down the image.", + "background": "The background of the image is a grey asphalt pavement." + }, + { + "image": "training/images/333.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long; The crack is a thin, curved line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/334.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long; The crack is a thin, curved line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/337.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, curved line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/338.jpg", + "caption": "This is an image of a crack in asphalt; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1 inch wide and 10 inches long; The crack is linear and has a slight curve to the right; The background of the image is asphalt with small pebbles;", + "overview": "This is an image of a crack in asphalt.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1 inch wide and 10 inches long.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background of the image is asphalt with small pebbles." + }, + { + "image": "training/images/339.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 1 cm wide; The crack is a jagged line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 1 cm wide.", + "trend_shape": "The crack is a jagged line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/34.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 2 mm wide; The crack is a straight line and it is open; The background is a close-up of a piece of asphalt;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "The crack is a straight line and it is open.", + "background": "The background is a close-up of a piece of asphalt." + }, + { + "image": "training/images/340.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, curved line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/341.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1/4 inch wide and 12 inches long; The crack is linear with a slight curve to the right; The background of the image is grey asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1/4 inch wide and 12 inches long.", + "trend_shape": "The crack is linear with a slight curve to the right.", + "background": "The background of the image is grey asphalt pavement." + }, + { + "image": "training/images/342.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches long; The crack is a thin, diagonal line that is open at both ends and has a slight bend in the middle; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1.5 inches long.", + "trend_shape": "The crack is a thin, diagonal line that is open at both ends and has a slight bend in the middle.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/343.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long; The crack is a thin, curved line that runs diagonally across the image; The background is a grey, pebbled asphalt road surface;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background is a grey, pebbled asphalt road surface." + }, + { + "image": "training/images/344.jpg", + "caption": "This is an image of a crack in asphalt pavement.; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches wide and 12 inches long; The crack is linear and has a slight curve to the right; The background of the image is grey asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.;", + "dataset": "Crack500 dataset;", + "location": "The crack is located in the middle of the image;", + "size": "The crack is about 1.5 inches wide and 12 inches long;", + "trend_shape": "The crack is linear and has a slight curve to the right;", + "background": "The background of the image is grey asphalt pavement." + }, + { + "image": "training/images/346.jpg", + "caption": "This is an image of a crack in asphalt pavement.; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches wide and 12 inches long; The crack is linear with a slight curve to the right; The background is a close-up of asphalt pavement with small pebbles;", + "overview": "This is an image of a crack in asphalt pavement.;", + "dataset": "Crack500 dataset;", + "location": "The crack is located in the middle of the image;", + "size": "The crack is approximately 1.5 inches wide and 12 inches long;", + "trend_shape": "The crack is linear with a slight curve to the right;", + "background": "The background is a close-up of asphalt pavement with small pebbles." + }, + { + "image": "training/images/348.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 1 cm wide; The crack is linear and has a slight curve to the right; The background is a close-up of a grey asphalt pavement with small pebbles;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 1 cm wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background is a close-up of a grey asphalt pavement with small pebbles." + }, + { + "image": "training/images/349.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 2 mm wide; The crack is a thin, curved line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/35.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a straight line with a slight curve at the bottom; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a straight line with a slight curve at the bottom.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/350.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, curved line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/351.jpg", + "caption": "Asphalt pavement crack closeup; Crack500 dataset; Center crack; 10 cm long, 1 cm wide crack; Linear crack with slight rightward curvature, straight and continuous; Pavement closeup with pebbles;", + "overview": "Asphalt pavement crack closeup", + "dataset": "Crack500 dataset", + "location": "Center crack.", + "size": "10 cm long, 1 cm wide crack.", + "trend_shape": "Linear crack with slight rightward curvature, straight and continuous.", + "background": "Pavement closeup with pebbles" + }, + { + "image": "training/images/353.jpg", + "caption": "Asphalt crack close-up; Crack500 dataset; Mid-image horizontal crack; 1.5\" wide, 10\" long crack; Zigzag, slightly curved crack; Asphalt road surface in extreme close-up;", + "overview": "Asphalt crack close-up.", + "dataset": "Crack500 dataset", + "location": "Mid-image horizontal crack.", + "size": "1.5\" wide, 10\" long crack", + "trend_shape": "Zigzag, slightly curved crack.", + "background": "Asphalt road surface in extreme close-up." + }, + { + "image": "training/images/355.jpg", + "caption": "Asphalt pavement crack; Crack500 dataset; Mid-image crack; Crack: 10\" long, 0.5\" wide; Jagged, continuous crack extends vertically from top to bottom; Asphalt pavement image background;", + "overview": "Asphalt pavement crack.", + "dataset": "Crack500 dataset", + "location": "Mid-image crack.", + "size": "Crack: 10\" long, 0.5\" wide", + "trend_shape": "Jagged, continuous crack extends vertically from top to bottom.", + "background": "Asphalt pavement image background." + }, + { + "image": "training/images/356.jpg", + "caption": "Asphalt crack close-up; Crack500 dataset; Horizontal pavement crack centered in image; Crack: ~1/4\" wide x 12\" long; Linear crack with slight zigzag pattern; Close-up of asphalt pavement with pebbles;", + "overview": "Asphalt crack close-up.", + "dataset": "Crack500 dataset", + "location": "Horizontal pavement crack centered in image.", + "size": "Crack: ~1/4\" wide x 12\" long", + "trend_shape": "Linear crack with slight zigzag pattern.", + "background": "Close-up of asphalt pavement with pebbles." + }, + { + "image": "training/images/357.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches long; The crack is a thin, straight line that runs horizontally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1.5 inches long.", + "trend_shape": "The crack is a thin, straight line that runs horizontally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/358.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 2 mm wide; The crack is a jagged line that runs diagonally across the image; The background of the image is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "The crack is a jagged line that runs diagonally across the image.", + "background": "The background of the image is a grey asphalt pavement." + }, + { + "image": "training/images/36.jpg", + "caption": "Asphalt pavement crack image; Crack500 dataset; Image center has crack; Crack: 1.5\" wide, 12\" long; Thin, winding, curved crack; Asphalt pavement surface closeup;", + "overview": "Asphalt pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Image center has crack.", + "size": "Crack: 1.5\" wide, 12\" long.", + "trend_shape": "Thin, winding, curved crack.", + "background": "Asphalt pavement surface closeup." + }, + { + "image": "training/images/360.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located at the center of the image; The crack is about 3 inches long; The crack is a thin, vertical line that is jagged and has a few small branches; The background of the image is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located at the center of the image.", + "size": "The crack is about 3 inches long.", + "trend_shape": "The crack is a thin, vertical line that is jagged and has a few small branches.", + "background": "The background of the image is a grey asphalt pavement." + }, + { + "image": "training/images/361.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, straight line that runs vertically down the middle of the image; The background is a dark gray asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, straight line that runs vertically down the middle of the image.", + "background": "The background is a dark gray asphalt pavement." + }, + { + "image": "training/images/362.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, curved line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/363.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long and 1/4 inch wide; The crack is a thin, winding and twisting crack, with a slight curve to the right; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long and 1/4 inch wide.", + "trend_shape": "The crack is a thin, winding and twisting crack, with a slight curve to the right.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/364.jpg", + "caption": "Asphalt crack close-up; Crack500 dataset; Mid-image crack; 10-inch long, 0.25-inch wide crack; Linear crack with slight right curve, straight with uniform width; Asphalt road surface closeup;", + "overview": "Asphalt crack close-up.", + "dataset": "Crack500 dataset", + "location": "Mid-image crack.", + "size": "10-inch long, 0.25-inch wide crack", + "trend_shape": "Linear crack with slight right curve, straight with uniform width.", + "background": "Asphalt road surface closeup." + }, + { + "image": "training/images/366.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches wide; The crack is linear and runs horizontally across the image; The background is a close-up of asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "The crack is linear and runs horizontally across the image.", + "background": "The background is a close-up of asphalt pavement." + }, + { + "image": "training/images/368.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, vertical line that is jagged in some parts and straight in others; The background of the image is a grey asphalt road;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, vertical line that is jagged in some parts and straight in others.", + "background": "The background of the image is a grey asphalt road." + }, + { + "image": "training/images/369.jpg", + "caption": "This is an image of a crack on an asphalt pavement surface; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches long; The crack is relatively straight with a slight curve to the right in the middle; The background of the image is a close-up of an asphalt pavement surface;", + "overview": "This is an image of a crack on an asphalt pavement surface.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches long.", + "trend_shape": "The crack is relatively straight with a slight curve to the right in the middle.", + "background": "The background of the image is a close-up of an asphalt pavement surface." + }, + { + "image": "training/images/37.jpg", + "caption": "A close-up image of a crack in an asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 3.5 inches long; The crack is relatively straight with a slight curve to the right; The background of the image is a close-up of an asphalt pavement with small pebbles;", + "overview": "A close-up image of a crack in an asphalt pavement;", + "dataset": "Crack500 dataset;", + "location": "The crack is located in the middle of the image;", + "size": "The crack is about 3.5 inches long;", + "trend_shape": "The crack is relatively straight with a slight curve to the right;", + "background": "The background of the image is a close-up of an asphalt pavement with small pebbles." + }, + { + "image": "training/images/372.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, curved line that runs diagonally across the image; The background of the image is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background of the image is a grey asphalt pavement." + }, + { + "image": "training/images/373.jpg", + "caption": "Pavement crack image; Crack500 dataset; Central crack in image; Crack: ~10 cm long, 2 mm wide; Diagonal crack from top left to bottom right, jagged with branches; Asphalt pavement with pebbles closeup;", + "overview": "Pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Central crack in image.", + "size": "Crack: ~10 cm long, 2 mm wide", + "trend_shape": "Diagonal crack from top left to bottom right, jagged with branches.", + "background": "Asphalt pavement with pebbles closeup." + }, + { + "image": "training/images/374.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long; The crack is a thin, vertical line that runs down the middle of the image; The background of the image is a close-up of a pavement surface;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "The crack is a thin, vertical line that runs down the middle of the image.", + "background": "The background of the image is a close-up of a pavement surface." + }, + { + "image": "training/images/375.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, vertical line that is jagged in some parts; The background of the image is a grey, pebbled asphalt road surface;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, vertical line that is jagged in some parts.", + "background": "The background of the image is a grey, pebbled asphalt road surface." + }, + { + "image": "training/images/376.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 3 inches long; The crack is a thin, vertical line that is jagged in shape; The background of the image is a grey, pebbled asphalt road surface;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 3 inches long.", + "trend_shape": "The crack is a thin, vertical line that is jagged in shape.", + "background": "The background of the image is a grey, pebbled asphalt road surface." + }, + { + "image": "training/images/377.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is 1.5 inches wide; The crack is a straight line that runs vertically down the image; The background of the image is a close-up of a grey asphalt road surface with small pebbles;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is 1.5 inches wide.", + "trend_shape": "The crack is a straight line that runs vertically down the image.", + "background": "The background of the image is a close-up of a grey asphalt road surface with small pebbles." + }, + { + "image": "training/images/378.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 2 mm wide; The crack is a jagged line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "The crack is a jagged line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/379.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long; The crack is a thin, curved line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/38.jpg", + "caption": "This is an image of a crack in an asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 20 cm long and 1 cm wide; The crack is linear and has a slight curve to the right; The background is a close-up of an asphalt pavement with small pebbles;", + "overview": "This is an image of a crack in an asphalt pavement;", + "dataset": "Crack500 dataset;", + "location": "The crack is located in the middle of the image;", + "size": "The crack is about 20 cm long and 1 cm wide;", + "trend_shape": "The crack is linear and has a slight curve to the right;", + "background": "The background is a close-up of an asphalt pavement with small pebbles." + }, + { + "image": "training/images/380.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 10 inches long; The crack is a thin, jagged line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 10 inches long.", + "trend_shape": "The crack is a thin, jagged line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/381.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches long; The crack is a thin, straight line that runs diagonally across the image; The background is a close-up of asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1.5 inches long.", + "trend_shape": "The crack is a thin, straight line that runs diagonally across the image.", + "background": "The background is a close-up of asphalt pavement." + }, + { + "image": "training/images/382.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches long; The crack is a thin, winding and twisting crack, with a slight zigzag pattern; The background of the image is a grey asphalt pavement with small pebbles;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches long.", + "trend_shape": "The crack is a thin, winding and twisting crack, with a slight zigzag pattern.", + "background": "The background of the image is a grey asphalt pavement with small pebbles." + }, + { + "image": "training/images/383.jpg", + "caption": "Asphalt pavement with diagonal crack; Crack500 dataset; Mid-image crack; Crack is 1.5 inches wide; Linear crack with slight rightward curvature; Asphalt pavement background;", + "overview": "Asphalt pavement with diagonal crack.", + "dataset": "Crack500 dataset", + "location": "Mid-image crack.", + "size": "Crack is 1.5 inches wide.", + "trend_shape": "Linear crack with slight rightward curvature.", + "background": "Asphalt pavement background." + }, + { + "image": "training/images/384.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long; The crack is a crescent-shaped curve with a few small branches; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "The crack is a crescent-shaped curve with a few small branches.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/385.jpg", + "caption": "Asphalt road crack close-up; Crack500 dataset; Horizontal crack in image center; Crack: ~1.5\" long, ~0.25\" wide; Relatively straight crack with slight right curve and uniform width, minor variations; Close-up of asphalt road surface with small stones;", + "overview": "Asphalt road crack close-up.", + "dataset": "Crack500 dataset", + "location": "Horizontal crack in image center.", + "size": "Crack: ~1.5\" long, ~0.25\" wide", + "trend_shape": "Relatively straight crack with slight right curve and uniform width, minor variations.", + "background": "Close-up of asphalt road surface with small stones." + }, + { + "image": "training/images/386.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long; The crack is a sealed longitudinal crack with a slight leftward trend; The background of the image is a close-up of a grey asphalt pavement surface with small pebbles;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "The crack is a sealed longitudinal crack with a slight leftward trend.", + "background": "The background of the image is a close-up of a grey asphalt pavement surface with small pebbles." + }, + { + "image": "training/images/388.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long; The crack is a thin, curved line that runs horizontally across the image; The background is a close-up of a brown shoe and a gray asphalt road with small pebbles;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "The crack is a thin, curved line that runs horizontally across the image.", + "background": "The background is a close-up of a brown shoe and a gray asphalt road with small pebbles." + }, + { + "image": "training/images/389.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, curved line that runs horizontally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, curved line that runs horizontally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/39.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long; The crack is a thin, curved line that runs horizontally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "The crack is a thin, curved line that runs horizontally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/391.jpg", + "caption": "This is an image of a crack in asphalt; Crack500 dataset; The crack is located in the middle of the image; The crack is about 20 cm long and 1 cm wide; The crack is a jagged line that runs from the top left corner of the image to the bottom right corner; The background of the image is grey;", + "overview": "This is an image of a crack in asphalt.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 20 cm long and 1 cm wide.", + "trend_shape": "The crack is a jagged line that runs from the top left corner of the image to the bottom right corner.", + "background": "The background of the image is grey." + }, + { + "image": "training/images/392.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 30 cm long and 1 cm wide; The crack is a straight line with a slight curve to the right; The background of the image is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 30 cm long and 1 cm wide.", + "trend_shape": "The crack is a straight line with a slight curve to the right.", + "background": "The background of the image is a grey asphalt pavement." + }, + { + "image": "training/images/393.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 1 cm wide; The crack is a jagged line that runs horizontally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 1 cm wide.", + "trend_shape": "The crack is a jagged line that runs horizontally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/395.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, curved line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/396.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, vertical line that is jagged and has a slight curve to the right; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, vertical line that is jagged and has a slight curve to the right.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/397.jpg", + "caption": "This is an image of a crack in asphalt; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1/4 inch wide and 2 feet long; The crack is linear and runs diagonally across the image; The background is asphalt;", + "overview": "This is an image of a crack in asphalt.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1/4 inch wide and 2 feet long.", + "trend_shape": "The crack is linear and runs diagonally across the image.", + "background": "The background is asphalt." + }, + { + "image": "training/images/398.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches wide; The crack is linear and runs diagonally from the top left corner of the image to the bottom right corner; The background of the image is grey asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "The crack is linear and runs diagonally from the top left corner of the image to the bottom right corner.", + "background": "The background of the image is grey asphalt pavement." + }, + { + "image": "training/images/4.jpg", + "caption": "Asphalt pavement crack; Crack500 dataset; Crack at image center; 10\" long, 0.5\" wide crack; Straight crack runs left to right across the pavement; Asphalt pavement closeup: dark gray, rough texture;", + "overview": "Asphalt pavement crack.", + "dataset": "Crack500 dataset", + "location": "Crack at image center.", + "size": "10\" long, 0.5\" wide crack.", + "trend_shape": "Straight crack runs left to right across the pavement.", + "background": "Asphalt pavement closeup: dark gray, rough texture." + }, + { + "image": "training/images/40.jpg", + "caption": "This is an image of a crack in asphalt; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches long; The crack is a zigzag shape and is oriented horizontally; The background is asphalt with small pebbles;", + "overview": "This is an image of a crack in asphalt.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1.5 inches long.", + "trend_shape": "The crack is a zigzag shape and is oriented horizontally.", + "background": "The background is asphalt with small pebbles." + }, + { + "image": "training/images/41.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, curved line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/43.jpg", + "caption": "Asphalt pavement with central crack; Crack500 dataset; Middle-aligned horizontal crack; Crack: 1.5\" wide x 12\" long; Straight crack with minor jagged edges; Asphalt pavement close-up;", + "overview": "Asphalt pavement with central crack.", + "dataset": "Crack500 dataset", + "location": "Middle-aligned horizontal crack.", + "size": "Crack: 1.5\" wide x 12\" long", + "trend_shape": "Straight crack with minor jagged edges.", + "background": "Asphalt pavement close-up." + }, + { + "image": "training/images/44.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long; The crack is a thin, curved line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/45.jpg", + "caption": "This is an image of a crack on an asphalt pavement surface; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches wide; The crack is linear and runs horizontally across the image; The background of the image is a close-up of an asphalt pavement surface with small pebbles and some small cracks;", + "overview": "This is an image of a crack on an asphalt pavement surface.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1.5 inches wide.", + "trend_shape": "The crack is linear and runs horizontally across the image.", + "background": "The background of the image is a close-up of an asphalt pavement surface with small pebbles and some small cracks." + }, + { + "image": "training/images/47.jpg", + "caption": "This is an image of a crack on an asphalt road surface; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches wide; The crack is linear and runs horizontally across the image; The background of the image is a close-up of an asphalt road surface;", + "overview": "This is an image of a crack on an asphalt road surface.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "The crack is linear and runs horizontally across the image.", + "background": "The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "training/images/48.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches wide; The crack is linear and runs horizontally across the image; The background of the image is grey asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "The crack is linear and runs horizontally across the image.", + "background": "The background of the image is grey asphalt pavement." + }, + { + "image": "training/images/49.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long; The crack is a thin, curved line that runs horizontally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "The crack is a thin, curved line that runs horizontally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/5.jpg", + "caption": "Crack on asphalt pavement surface; Crack500 dataset; Mid-image diagonal crack from top left to bottom right; 1.5\" wide x 12\" long crack; Straight crack, slight right curve in middle, sealed with sealant; Asphalt pavement surface with embedded pebbles and rocks;", + "overview": "Crack on asphalt pavement surface.", + "dataset": "Crack500 dataset", + "location": "Mid-image diagonal crack from top left to bottom right.", + "size": "1.5\" wide x 12\" long crack.", + "trend_shape": "Straight crack, slight right curve in middle, sealed with sealant.", + "background": "Asphalt pavement surface with embedded pebbles and rocks." + }, + { + "image": "training/images/50.jpg", + "caption": "This is an image of a crack on an asphalt road surface; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 10 cm long and 1 mm wide; The crack is linear and has a slight curve to the right; The background of the image is grey asphalt pavement with small pebbles;", + "overview": "This is an image of a crack on an asphalt road surface.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 10 cm long and 1 mm wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background of the image is grey asphalt pavement with small pebbles." + }, + { + "image": "training/images/51.jpg", + "caption": "This is an image of a crack on an asphalt road surface; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 10 inches long and 0.5 inches wide; The crack is jagged and has a zig-zag pattern; The background is a close-up of an asphalt road surface;", + "overview": "This is an image of a crack on an asphalt road surface.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 10 inches long and 0.5 inches wide.", + "trend_shape": "The crack is jagged and has a zig-zag pattern.", + "background": "The background is a close-up of an asphalt road surface." + }, + { + "image": "training/images/52.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long; The crack is a thin, winding and twisting, with a slight curve to the right; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "The crack is a thin, winding and twisting, with a slight curve to the right.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/55.jpg", + "caption": "This is an image of a crack on an asphalt road surface; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 1 mm wide; The crack is linear and has a slight curve to the right; The background of the image is a close-up of an asphalt road surface;", + "overview": "This is an image of a crack on an asphalt road surface.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 1 mm wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "training/images/59.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 30 cm long and 1 cm wide; The crack is a jagged line that runs diagonally across the image; The background is a grey asphalt road;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 30 cm long and 1 cm wide.", + "trend_shape": "The crack is a jagged line that runs diagonally across the image.", + "background": "The background is a grey asphalt road." + }, + { + "image": "training/images/6.jpg", + "caption": "Asphalt crack image; Crack500 dataset; Crack in image center; 1.5\" wide, 10\" long crack; Jagged diagonal crack with small branches, top left to bottom right; Grey asphalt with pebbles;", + "overview": "Asphalt crack image.", + "dataset": "Crack500 dataset", + "location": "Crack in image center.", + "size": "1.5\" wide, 10\" long crack", + "trend_shape": "Jagged diagonal crack with small branches, top left to bottom right.", + "background": "Grey asphalt with pebbles." + }, + { + "image": "training/images/60.jpg", + "caption": "Concrete surface with large crack; Crack500 dataset; Diagonal crack through image center; Crack: 10\" long, 1/4\" wide; Jagged crack with rough texture, filled with dark substance; Concrete surface with embedded pebbles, closeup;", + "overview": "Concrete surface with large crack.", + "dataset": "Crack500 dataset", + "location": "Diagonal crack through image center.", + "size": "Crack: 10\" long, 1/4\" wide.", + "trend_shape": "Jagged crack with rough texture, filled with dark substance.", + "background": "Concrete surface with embedded pebbles, closeup." + }, + { + "image": "training/images/61.jpg", + "caption": "This is an image of a crack on an asphalt pavement surface; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches long; The crack is a thin, straight line that runs horizontally across the image; The background of the image is a close-up of an asphalt pavement surface;", + "overview": "This is an image of a crack on an asphalt pavement surface.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches long.", + "trend_shape": "The crack is a thin, straight line that runs horizontally across the image.", + "background": "The background of the image is a close-up of an asphalt pavement surface." + }, + { + "image": "training/images/62.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, vertical line that is jagged in shape; The background of the image is a grey asphalt road;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, vertical line that is jagged in shape.", + "background": "The background of the image is a grey asphalt road." + }, + { + "image": "training/images/63.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, straight line; The background is a light brown concrete surface;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, straight line.", + "background": "The background is a light brown concrete surface." + }, + { + "image": "training/images/64.jpg", + "caption": "This is an image of a crack in asphalt pavement.; Crack500 dataset; The crack is located in the middle of the image.; The crack is approximately 1.5 inches wide.; The crack is a thin, winding and twisting crack, with a slight zigzag pattern.; The background of the image is a close-up of asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.;", + "dataset": "Crack500 dataset;", + "location": "The crack is located in the middle of the image.;", + "size": "The crack is approximately 1.5 inches wide.;", + "trend_shape": "The crack is a thin, winding and twisting crack, with a slight zigzag pattern.;", + "background": "The background of the image is a close-up of asphalt pavement." + }, + { + "image": "training/images/65.jpg", + "caption": "This is an image of a crack on an asphalt road surface; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 1 cm wide; The crack is linear and has a slight curve to the right; The background of the image is grey asphalt road surface;", + "overview": "This is an image of a crack on an asphalt road surface.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 1 cm wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background of the image is grey asphalt road surface." + }, + { + "image": "training/images/66.jpg", + "caption": "Asphalt road crack closeup; Crack500 dataset; Crack in image center; Crack: 10 cm x 0.5 cm; Vertical linear crack down image center; Road asphalt surface closeup;", + "overview": "Asphalt road crack closeup.", + "dataset": "Crack500 dataset", + "location": "Crack in image center.", + "size": "Crack: 10 cm x 0.5 cm", + "trend_shape": "Vertical linear crack down image center.", + "background": "Road asphalt surface closeup." + }, + { + "image": "training/images/67.jpg", + "caption": "This is an image of a crack on an asphalt pavement surface; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches long; The crack is a thin, winding and twisting crack, with a slight dip in the middle; The background of the image is a grey asphalt pavement surface;", + "overview": "This is an image of a crack on an asphalt pavement surface.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches long.", + "trend_shape": "The crack is a thin, winding and twisting crack, with a slight dip in the middle.", + "background": "The background of the image is a grey asphalt pavement surface." + }, + { + "image": "training/images/68.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located at the center of the image; The crack is about 10 cm long; The crack is a thin, winding and twisting crack, with some small branches; The background is a grey, rough concrete surface;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located at the center of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, winding and twisting crack, with some small branches.", + "background": "The background is a grey, rough concrete surface." + }, + { + "image": "training/images/69.jpg", + "caption": "This is an image of a crack in an asphalt pavement; Crack500 dataset; The crack is located in the center of the image; The crack is approximately 1.5 inches wide and 10 inches long; The crack is a straight line that runs vertically down the image; The background of the image is a grey asphalt pavement;", + "overview": "This is an image of a crack in an asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the center of the image.", + "size": "The crack is approximately 1.5 inches wide and 10 inches long.", + "trend_shape": "The crack is a straight line that runs vertically down the image.", + "background": "The background of the image is a grey asphalt pavement." + }, + { + "image": "training/images/70.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long; The crack is a half-moon shape and is relatively wide; The background of the image is grey;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "The crack is a half-moon shape and is relatively wide.", + "background": "The background of the image is grey." + }, + { + "image": "training/images/72.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 30 cm long and 1 cm wide; The crack is a thin, winding line, and is not sealed; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 30 cm long and 1 cm wide.", + "trend_shape": "The crack is a thin, winding line, and is not sealed.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/73.jpg", + "caption": "Pavement crack image; Crack500 dataset; Image center crack; Crack: 10 cm long; Jagged diagonal crack from top left to bottom right of image; Grey asphalt pavement background;", + "overview": "Pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Image center crack.", + "size": "Crack: 10 cm long.", + "trend_shape": "Jagged diagonal crack from top left to bottom right of image.", + "background": "Grey asphalt pavement background." + }, + { + "image": "training/images/75.jpg", + "caption": "This is an image of a crack in an asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches wide; The crack is linear and runs diagonally across the image; The background of the image is a close-up of an asphalt pavement;", + "overview": "This is an image of a crack in an asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "The crack is linear and runs diagonally across the image.", + "background": "The background of the image is a close-up of an asphalt pavement." + }, + { + "image": "training/images/76.jpg", + "caption": "Asphalt pavement crack; Crack500 dataset; Crack in image center; Crack: 1.5\" wide, 10\" long; Sealed semi-meandering crack with a central dip; Asphalt pavement with pebbles and red markings;", + "overview": "Asphalt pavement crack.", + "dataset": "Crack500 dataset", + "location": "Crack in image center.", + "size": "Crack: 1.5\" wide, 10\" long", + "trend_shape": "Sealed semi-meandering crack with a central dip.", + "background": "Asphalt pavement with pebbles and red markings." + }, + { + "image": "training/images/77.jpg", + "caption": "This is an image of a crack on an asphalt road surface; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches wide; The crack is linear and has a slight zig-zag shape; The background of the image is a close-up of an asphalt road surface with small pebbles;", + "overview": "This is an image of a crack on an asphalt road surface.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "The crack is linear and has a slight zig-zag shape.", + "background": "The background of the image is a close-up of an asphalt road surface with small pebbles." + }, + { + "image": "training/images/78.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1/4 inch wide and 1 foot long; The crack is linear and has a slight curve to the right; The background of the image is grey asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1/4 inch wide and 1 foot long.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background of the image is grey asphalt pavement." + }, + { + "image": "training/images/79.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 2 mm wide; The crack is a jagged line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "The crack is a jagged line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/8.jpg", + "caption": "This is an image of a crack in asphalt; Crack500 dataset; The crack is located in the middle of the image; The crack is about 20 cm long and 1 cm wide; The crack is a single, continuous crack that runs in a straight line from left to right; The background is a close-up of a grey asphalt road surface with small pebbles;", + "overview": "This is an image of a crack in asphalt.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 20 cm long and 1 cm wide.", + "trend_shape": "The crack is a single, continuous crack that runs in a straight line from left to right.", + "background": "The background is a close-up of a grey asphalt road surface with small pebbles." + }, + { + "image": "training/images/80.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, curved line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/84.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long and 1/4 inch wide; The crack is linear and has a slight curve to the right; The background is a close-up of asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long and 1/4 inch wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background is a close-up of asphalt pavement." + }, + { + "image": "training/images/86.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 1 mm wide; The crack is linear and has a slight curve to the right; The background is a close-up of a grey asphalt road surface with small pebbles;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 1 mm wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background is a close-up of a grey asphalt road surface with small pebbles." + }, + { + "image": "training/images/88.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long and 1/4 inch wide; The crack is linear and has a zigzag shape; The background is a close-up of asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long and 1/4 inch wide.", + "trend_shape": "The crack is linear and has a zigzag shape.", + "background": "The background is a close-up of asphalt pavement." + }, + { + "image": "training/images/89.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1/4 inch wide and 12 inches long; The crack is linear and runs horizontally across the image; The background is a close-up of asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1/4 inch wide and 12 inches long.", + "trend_shape": "The crack is linear and runs horizontally across the image.", + "background": "The background is a close-up of asphalt pavement." + }, + { + "image": "training/images/9.jpg", + "caption": "Asphalt pavement crack image; Crack500 dataset; Crack is in the image's center; Crack: ~10\" long, 0.25\" wide; Linear crack with slight rightward curvature; Asphalt pavement closeup with pebbles and dark spots;", + "overview": "Asphalt pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Crack is in the image's center.", + "size": "Crack: ~10\" long, 0.25\" wide", + "trend_shape": "Linear crack with slight rightward curvature.", + "background": "Asphalt pavement closeup with pebbles and dark spots." + }, + { + "image": "training/images/90.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 1 mm wide; The crack is a straight line with a slight curve at the bottom; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 1 mm wide.", + "trend_shape": "The crack is a straight line with a slight curve at the bottom.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/91.jpg", + "caption": "This is an image of a crack in asphalt; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 10 inches long; The crack is a thin, jagged line that runs horizontally across the image; The background of the image is grey asphalt;", + "overview": "This is an image of a crack in asphalt.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 10 inches long.", + "trend_shape": "The crack is a thin, jagged line that runs horizontally across the image.", + "background": "The background of the image is grey asphalt." + }, + { + "image": "training/images/93.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches long; The crack is a thin, diagonal line. It is a fatigue crack; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1.5 inches long.", + "trend_shape": "The crack is a thin, diagonal line. It is a fatigue crack.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "training/images/96.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 3 inches long; The crack is a thin, vertical line that is jagged in shape; The background of the image is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 3 inches long.", + "trend_shape": "The crack is a thin, vertical line that is jagged in shape.", + "background": "The background of the image is a grey asphalt pavement." + }, + { + "image": "training/images/97.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 1 cm wide; The crack is a straight line with a slight curve at the end; The background is a close-up of a grey asphalt pavement with small pebbles;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 1 cm wide.", + "trend_shape": "The crack is a straight line with a slight curve at the end.", + "background": "The background is a close-up of a grey asphalt pavement with small pebbles." + }, + { + "image": "training/images/98.jpg", + "caption": "Asphalt road crack image; Crack500 dataset; Crack at image center; Crack: 10\" long, 0.25\" wide; Zig-zag shaped crack oriented horizontally across image; Asphalt road surface closeup with pebbles and cracks;", + "overview": "Asphalt road crack image.", + "dataset": "Crack500 dataset", + "location": "Crack at image center.", + "size": "Crack: 10\" long, 0.25\" wide", + "trend_shape": "Zig-zag shaped crack oriented horizontally across image.", + "background": "Asphalt road surface closeup with pebbles and cracks." + }, + { + "image": "training/images/99.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches wide; The crack is linear and runs horizontally across the image; The background is a close-up of asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "The crack is linear and runs horizontally across the image.", + "background": "The background is a close-up of asphalt pavement." + }, + { + "image": "training/annotations/10.png", + "caption": "GT semantic map of pavement crack image from Crack500 dataset; Crack500 dataset; Semantic map at image center; The crack is approximately 1.5 inches wide; Long, winding semantic map, branches; thick middle, thin ends;", + "overview": "GT semantic map of pavement crack image from Crack500 dataset.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is approximately 1.5 inches wide;", + "trend_shape": "Long, winding semantic map, branches; thick middle, thin ends." + }, + { + "image": "training/annotations/100.png", + "caption": "GT semantic map of Crack500 dataset pavement crack image; Crack500 dataset; Map located centrally in image; The crack is approximately 1.5 inches wide; Winding semantic map with many branches and cracks;", + "overview": "GT semantic map of Crack500 dataset pavement crack image", + "dataset": "Crack500 dataset", + "location": "Map located centrally in image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "Winding semantic map with many branches and cracks." + }, + { + "image": "training/annotations/101.png", + "caption": "GT semantic map of a pavement crack image; Crack500 dataset; Semantic map at image center; The crack is about 10 inches long and 1/4 inch wide; Long, winding semantic map with thick central crack thinning towards ends;", + "overview": "GT semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 10 inches long and 1/4 inch wide.", + "trend_shape": "Long, winding semantic map with thick central crack thinning towards ends." + }, + { + "image": "training/annotations/103.png", + "caption": "Semantic map (GT) for pavement crack image; Crack500 dataset; Semantic map at image center; 10-inch crack, 0.25-inch wide; Interconnected cracks form a large, thin, highly curved semantic map;", + "overview": "Semantic map (GT) for pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "10-inch crack, 0.25-inch wide", + "trend_shape": "Interconnected cracks form a large, thin, highly curved semantic map." + }, + { + "image": "training/annotations/104.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map: center of image; The crack is about 10 cm long; Complex semantic map with small and large cracks, mostly vertical, horizontal, and diagonal, varying in width;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map: center of image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Complex semantic map with small and large cracks, mostly vertical, horizontal, and diagonal, varying in width." + }, + { + "image": "training/annotations/106.png", + "caption": "GT semantic map of a Crack500 dataset pavement crack image; Crack500 dataset; Semantic map centers the image; The crack is approximately 10 inches long and 1/4 inch wide; Semantic map shows a single, nearly horizontal crack with small bends and jogs, averaging 5 pixels in width;", + "overview": "GT semantic map of a Crack500 dataset pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map centers the image.", + "size": "The crack is approximately 10 inches long and 1/4 inch wide.", + "trend_shape": "Semantic map shows a single, nearly horizontal crack with small bends and jogs, averaging 5 pixels in width." + }, + { + "image": "training/annotations/107.png", + "caption": "GT semantic map of a pavement crack image; Crack500 dataset; Semantic map at image center; 10\" long, 0.5\" wide crack; Horizontal crack tapers from thick middle to thin ends, with upward curve;", + "overview": "GT semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": ":10\" long, 0.5\" wide crack.", + "trend_shape": "Horizontal crack tapers from thick middle to thin ends, with upward curve." + }, + { + "image": "training/annotations/108.png", + "caption": "Semantic map (GT) of pavement crack; Crack500 dataset; Semantic map at image center; Crack: 1.5\" wide x 10\" long; White, curved line (1-3px wide) on black background, oriented from top-left to bottom-right;", + "overview": "Semantic map (GT) of pavement crack.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "Crack: 1.5\" wide x 10\" long", + "trend_shape": "White, curved line (1-3px wide) on black background, oriented from top-left to bottom-right." + }, + { + "image": "training/annotations/11.png", + "caption": "BW semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map centers image; The crack is about 10 cm long; Complex semantic map with varying crack sizes, orientations (vertical, horizontal, diagonal);", + "overview": "BW semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map centers image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Complex semantic map with varying crack sizes, orientations (vertical, horizontal, diagonal)." + }, + { + "image": "training/annotations/110.png", + "caption": "GT semantic map of pavement crack; Crack500 dataset; Semantic map at image center; Crack: 3 inches long; Vertical pavement crack with two branches;", + "overview": "GT semantic map of pavement crack.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "Crack: 3 inches long.", + "trend_shape": "Vertical pavement crack with two branches." + }, + { + "image": "training/annotations/112.png", + "caption": "Crack500 dataset pavement crack image: white pixels = cracks, black pixels = no cracks; Crack500 dataset; Crack500 dataset semantic map: centered; The crack is about 1.5 inches wide and 10 inches long; Crack500 dataset map: single diagonal crack top left to bottom right;", + "overview": "Crack500 dataset pavement crack image: white pixels = cracks, black pixels = no cracks.", + "dataset": "Crack500 dataset", + "location": "Crack500 dataset semantic map: centered.", + "size": "The crack is about 1.5 inches wide and 10 inches long;", + "trend_shape": "Crack500 dataset map: single diagonal crack top left to bottom right." + }, + { + "image": "training/annotations/114.png", + "caption": "GT map of pavement crack from Crack500 dataset; Crack500 dataset; Crack500 dataset_001_00000.png centered; The crack is approximately 1.5 inches long; Thin, horizontal, curvilinear crack in image center, slightly towards top, with slight bends;", + "overview": "GT map of pavement crack from Crack500 dataset.", + "dataset": "Crack500 dataset", + "location": "Crack500 dataset_001_00000.png centered.", + "size": "The crack is approximately 1.5 inches long.", + "trend_shape": "Thin, horizontal, curvilinear crack in image center, slightly towards top, with slight bends." + }, + { + "image": "training/annotations/117.png", + "caption": "GT semantic map of pavement crack; Crack500 dataset; Semantic map at image center; The crack is about 10 cm long; Diagonal crack, bottom left to top right, 10px wide;", + "overview": "GT semantic map of pavement crack", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Diagonal crack, bottom left to top right, 10px wide." + }, + { + "image": "training/annotations/118.png", + "caption": "BW semantic map (GT) of pavement crack; Crack500 dataset; Image center contains semantic map; The crack is 1.5\" wide and 12\" long; Single, nearly vertical crack, ~15 pixels wide, spans image height;", + "overview": "BW semantic map (GT) of pavement crack.", + "dataset": "Crack500 dataset", + "location": "Image center contains semantic map.", + "size": "The crack is 1.5\" wide and 12\" long.", + "trend_shape": "Single, nearly vertical crack, ~15 pixels wide, spans image height." + }, + { + "image": "training/annotations/119.png", + "caption": "Semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map central to image; Crack: 10\" long, 0.5\" wide; Curvilinear semantic map with multiple branches and sharp turns;", + "overview": "Semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map central to image.", + "size": "Crack: 10\" long, 0.5\" wide.", + "trend_shape": "Curvilinear semantic map with multiple branches and sharp turns." + }, + { + "image": "training/annotations/12.png", + "caption": "BW semantic map (GT) of pavement crack image; Crack500 dataset; Map centered in image; The crack is about 10 cm long; Complex, branching, vertical semantic map, shaped like a tree;", + "overview": "BW semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map centered in image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Complex, branching, vertical semantic map, shaped like a tree." + }, + { + "image": "training/annotations/124.png", + "caption": "This is a semantic map (groundtrue (GT)) of a pavement crack image; Crack500 dataset; The semantic map is located at the center of the image; The crack is about 1.5 inches wide; The semantic map is a long and thin vertical line, with a slight curve to the right;", + "overview": "This is a semantic map (groundtrue (GT)) of a pavement crack image.", + "dataset": "Crack500 dataset.", + "location": "The semantic map is located at the center of the image.", + "size": "The crack is about 1.5 inches wide.", + "trend_shape": "The semantic map is a long and thin vertical line, with a slight curve to the right." + }, + { + "image": "training/annotations/125.png", + "caption": "This is a Crack500 dataset semantic map of a pavement crack image; Crack500 dataset; Center of the image; The crack is a thin, elongated; Curvilinear object is oriented horizontally across the image.", + "overview": "This is a Crack500 dataset semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Center of the image.", + "size": "The crack is a thin, elongated.", + "trend_shape":"Curvilinear object is oriented horizontally across the image." + }, + { + "image": "training/annotations/126.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map centered in image; The crack is about 30 cm long and 1 cm wide; Two parallel, nearly vertical cracks curve slightly right;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered in image.", + "size": "The crack is about 30 cm long and 1 cm wide.", + "trend_shape": "Two parallel, nearly vertical cracks curve slightly right." + }, + { + "image": "training/annotations/127.png", + "caption": "BW semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map centered in image; The crack is about 10 inches long; Diagonal crack, width ~10px, top left to bottom right;", + "overview": "BW semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered in image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "Diagonal crack, width ~10px, top left to bottom right." + }, + { + "image": "training/annotations/129.png", + "caption": "GT semantic map of Crack500 dataset pavement crack image; Crack500 dataset; Semantic map in image center; The crack is approximately 1.5 inches long; Semantic map depicts a single, long, near-vertical crack with rightward curvature;", + "overview": "GT semantic map of Crack500 dataset pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "The crack is approximately 1.5 inches long.", + "trend_shape": "Semantic map depicts a single, long, near-vertical crack with rightward curvature." + }, + { + "image": "training/annotations/13.png", + "caption": "GT semantic map of a pavement crack image; Crack500 dataset; Semantic map: image center; The crack is about 10 cm long and 2 mm wide; Triangular semantic map with three branches: vertical main branch, two 45-degree secondary branches;", + "overview": "GT semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map: image center.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "Triangular semantic map with three branches: vertical main branch, two 45-degree secondary branches." + }, + { + "image": "training/annotations/130.png", + "caption": "Black and white semantic map of pavement crack image from Crack500 dataset; Crack500 dataset; Semantic map centered in image; The crack is about 10 cm long; Semantic map has two large curved cracks connected by three smaller ones;", + "overview": "Black and white semantic map of pavement crack image from Crack500 dataset.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered in image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Semantic map has two large curved cracks connected by three smaller ones." + }, + { + "image": "training/annotations/131.png", + "caption": "GT semantic map of a pavement crack image; Crack500 dataset; Map at image center; 10-inch crack, 1/4-inch wide; Long, winding semantic map with thick crack thinning at ends;", + "overview": "GT semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map at image center.", + "size": "10-inch crack, 1/4-inch wide.", + "trend_shape": "Long, winding semantic map with thick crack thinning at ends." + }, + { + "image": "training/annotations/132.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map at image center; The crack is about 10 cm in length; Semantic map: Large horizontal crack, small vertical crack from center;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 10 cm in length.", + "trend_shape": "Semantic map: Large horizontal crack, small vertical crack from center." + }, + { + "image": "training/annotations/133.png", + "caption": "Crack500 dataset semantic pavement crack image map (white: crack, black: background); Crack500 dataset; Semantic map centers the image; The semantic map is approximately 1.5 inches wide; Horizontal, thin, curvilinear crack with uniform width;", + "overview": "Crack500 dataset semantic pavement crack image map (white: crack, black: background)", + "dataset": "Crack500 dataset", + "location": "Semantic map centers the image.", + "size": "The semantic map is approximately 1.5 inches wide.", + "trend_shape": "Horizontal, thin, curvilinear crack with uniform width." + }, + { + "image": "training/annotations/134.png", + "caption": "GT pavement crack image semantic map; Crack500 dataset; Map at image center; Semantic map: 256x256 pixels; Vertical crack: 16px wide at top, 6px at bottom, 248px long;", + "overview": "GT pavement crack image semantic map.", + "dataset": "Crack500 dataset", + "location": "Map at image center.", + "size": "Semantic map: 256x256 pixels", + "trend_shape": "Vertical crack: 16px wide at top, 6px at bottom, 248px long." + }, + { + "image": "training/annotations/136.png", + "caption": "GT semantic map of pavement crack; Crack500 dataset; Semantic map at image center; The crack is about 10 inches long and 1/4 inch wide; White line drawing of a 10-pixel wide diagonal pavement crack with branches from top left to bottom right;", + "overview": "GT semantic map of pavement crack.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 10 inches long and 1/4 inch wide.", + "trend_shape": "White line drawing of a 10-pixel wide diagonal pavement crack with branches from top left to bottom right." + }, + { + "image": "training/annotations/137.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map centered in image; The crack is about 1.5 inches wide; Long, winding semantic map with sharp turns, ~100px wide;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered in image.", + "size": "The crack is about 1.5 inches wide.", + "trend_shape": "Long, winding semantic map with sharp turns, ~100px wide." + }, + { + "image": "training/annotations/139.png", + "caption": "This is a black and white semantic map (groundtrue (GT)) of a pavement crack image; Crack500 dataset; The semantic map is located in the center of the image; The crack is approximately 10 inches long and 0.25 inches wide; The semantic map is a long and thin white line that is oriented vertically;", + "overview": "This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.", + "dataset": "Crack500 dataset.", + "location": "The semantic map is located in the center of the image.", + "size": "The crack is approximately 10 inches long and 0.25 inches wide.", + "trend_shape": "The semantic map is a long and thin white line that is oriented vertically." + }, + { + "image": "training/annotations/14.png", + "caption": "GT semantic map of a pavement crack; Crack500 dataset; Semantic map at image center; The crack is about 3 inches long; Long, winding semantic map with multiple parallel branches, width 5-10 pixels;", + "overview": "GT semantic map of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 3 inches long.", + "trend_shape": "Long, winding semantic map with multiple parallel branches, width 5-10 pixels." + }, + { + "image": "training/annotations/141.png", + "caption": "Semantic GT map of pavement crack image; Crack500 dataset; Semantic map is centered in image; The crack is approximately 10 inches long and 0.5 inches wide; Large, winding crack with numerous branches, mostly horizontal;", + "overview": "Semantic GT map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map is centered in image.", + "size": "The crack is approximately 10 inches long and 0.5 inches wide.", + "trend_shape": "Large, winding crack with numerous branches, mostly horizontal." + }, + { + "image": "training/annotations/142.png", + "caption": "Semantic map of pavement crack image (GT); Crack500 dataset; Semantic map: center of image; The crack is approximately 1.5 inches wide and 10 inches long; Vertical crack approximate 1/4 image length; horizontal crack approximate 3/4 image length at bottom;", + "overview": "Semantic map of pavement crack image (GT).", + "dataset": "Crack500 dataset", + "location": "Semantic map: center of image.", + "size": "The crack is approximately 1.5 inches wide and 10 inches long.", + "trend_shape": "Vertical crack approximate 1/4 image length; horizontal crack approximate 3/4 image length at bottom." + }, + { + "image": "training/annotations/143.png", + "caption": "BW semantic map (GT) of pavement crack image; Crack500 dataset; Map at image center; The crack is about 10 inches long; Semantic map has two large parallel cracks (10px wide) and several small cracks (5px wide) oriented in the same direction;", + "overview": "BW semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map at image center.", + "size": "The crack is about 10 inches long.", + "trend_shape": "Semantic map has two large parallel cracks (10px wide) and several small cracks (5px wide) oriented in the same direction." + }, + { + "image": "training/annotations/145.png", + "caption": "GT semantic map of a pavement crack image; Crack500 dataset; Semantic map central in image; The crack is about 1.5 inches wide and 10 inches long; Vertical crack, 10 pixels wide, extends image height;", + "overview": "GT semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map central in image.", + "size": "The crack is about 1.5 inches wide and 10 inches long;", + "trend_shape": "Vertical crack, 10 pixels wide, extends image height." + }, + { + "image": "training/annotations/146.png", + "caption": "Semantic GT map of pavement crack image; Crack500 dataset; Semantic map is centered in image; The crack is approximately 1.5 inches wide; Thin, slightly curved vertical line with small branches;", + "overview": "Semantic GT map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map is centered in image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "Thin, slightly curved vertical line with small branches." + }, + { + "image": "training/annotations/147.png", + "caption": "GT black and white semantic map of a Crack500 dataset pavement crack image; Crack500 dataset; Semantic map at image center; The crack is approximately 1/4 inch wide and 12 inches long; Vertical crack, ~10px wide;", + "overview": "GT black and white semantic map of a Crack500 dataset pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is approximately 1/4 inch wide and 12 inches long.", + "trend_shape": "Vertical crack, ~10px wide." + }, + { + "image": "training/annotations/148.png", + "caption": "GT semantic map of pavement crack image in grayscale; Crack500 dataset; Center map; The crack is approximately 1.5 inches wide; Map shows thick, tapered horizontal crack with slight upward curve;", + "overview": "GT semantic map of pavement crack image in grayscale.", + "dataset": "Crack500 dataset", + "location": "Center map.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "Map shows thick, tapered horizontal crack with slight upward curve." + }, + { + "image": "training/annotations/15.png", + "caption": "BW semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map at image center; Crack: 30 cm long, 1 cm wide; Long, winding map with sharp turns; 10px crack diagonally from bottom left to top right;", + "overview": "BW semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "Crack: 30 cm long, 1 cm wide.", + "trend_shape": "Long, winding map with sharp turns; 10px crack diagonally from bottom left to top right." + }, + { + "image": "training/annotations/150.png", + "caption": "Semantic GT map of pavement crack image; Crack500 dataset; Semantic map at image center; The crack is about 10 cm long; Tree-like semantic map with central vertical main branch and extending branches of varying lengths and widths, some interconnected;", + "overview": "Semantic GT map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Tree-like semantic map with central vertical main branch and extending branches of varying lengths and widths, some interconnected." + }, + { + "image": "training/annotations/151.png", + "caption": "BW semantic map (GT) of pavement crack; Crack500 dataset; Semantic map at image center; The crack is approximately 1.5 inches long and 0.25 inches wide; Long, winding semantic map with multiple branches, main branch runs from top left to bottom right;", + "overview": "BW semantic map (GT) of pavement crack.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is approximately 1.5 inches long and 0.25 inches wide.", + "trend_shape": "Long, winding semantic map with multiple branches, main branch runs from top left to bottom right." + }, + { + "image": "training/annotations/152.png", + "caption": "This is a semantic map of pavement cracks; Crack500 dataset; Semantic map in image center; Crack: 10\" long, 1/4\" wide; Complex semantic map with varying-width vertical, horizontal, and diagonal cracks;", + "overview": "This is a semantic map of pavement cracks.", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "Crack: 10\" long, 1/4\" wide", + "trend_shape": "Complex semantic map with varying-width vertical, horizontal, and diagonal cracks." + }, + { + "image": "training/annotations/153.png", + "caption": "GT semantic map of pavement crack in black and white; Crack500 dataset; Semantic map centered; Crack: 10\" long, 0.25\" wide; Thin, elongated, curvilinear semantic map horizontally oriented across the image;", + "overview": "GT semantic map of pavement crack in black and white.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered.", + "size": "Crack: 10\" long, 0.25\" wide", + "trend_shape": "Thin, elongated, curvilinear semantic map horizontally oriented across the image." + }, + { + "image": "training/annotations/155.png", + "caption": "Pavement crack image semantic map (GT); Crack500 dataset; Semantic map at image center; The crack is about 10 cm long; Semantic map depicts three cracks: vertical (left to right), horizontal (top to bottom), and diagonal (top right to bottom left);", + "overview": "Pavement crack image semantic map (GT).", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Semantic map depicts three cracks: vertical (left to right), horizontal (top to bottom), and diagonal (top right to bottom left)." + }, + { + "image": "training/annotations/156.png", + "caption": "Semantic GT map of a pavement crack image; Crack500 dataset; Semantic map at image center; The crack is about 1.5 inches wide; Semantic map: tree-like shape with thick trunk and thin, angled branches;", + "overview": "Semantic GT map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 1.5 inches wide.", + "trend_shape": "Semantic map: tree-like shape with thick trunk and thin, angled branches." + }, + { + "image": "training/annotations/157.png", + "caption": "This is a GT semantic map of a pavement crack image; Crack500 dataset; Semantic map at image center; Crack: 1.5\" long, 0.25\" wide; Near-vertical central crack extends image top to bottom;", + "overview": "This is a GT semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "Crack: 1.5\" long, 0.25\" wide", + "trend_shape": "Near-vertical central crack extends image top to bottom." + }, + { + "image": "training/annotations/158.png", + "caption": "This is a semantic map of a pavement crack image; Crack500 dataset; Semantic map: center of image; The crack is about 30 cm long and 1 cm wide; Vertical crack with two smaller offshoots;", + "overview": "This is a semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map: center of image.", + "size": "The crack is about 30 cm long and 1 cm wide.", + "trend_shape": "Vertical crack with two smaller offshoots." + }, + { + "image": "training/annotations/159.png", + "caption": "BW semantic map (GT) of pavement crack; Crack500 dataset; Semantic map in image center; The crack is approximately 10 inches long and 0.25 inches wide; Long, thin, horizontal crack with bends, wide and white-bordered;", + "overview": "BW semantic map (GT) of pavement crack.", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "The crack is approximately 10 inches long and 0.25 inches wide.", + "trend_shape": "Long, thin, horizontal crack with bends, wide and white-bordered." + }, + { + "image": "training/annotations/16.png", + "caption": "GT black-white semantic map of pavement crack from Crack500 dataset; Crack500 dataset; Semantic map is centered; 1.5\" long crack; Thick, nearly-horizontal crack with numerous deviations and branches;", + "overview": "GT black-white semantic map of pavement crack from Crack500 dataset.", + "dataset": "Crack500 dataset", + "location": "Semantic map is centered.", + "size": "1.5\" long crack", + "trend_shape": "Thick, nearly-horizontal crack with numerous deviations and branches." + }, + { + "image": "training/annotations/160.png", + "caption": "BW semantic GT map of pavement crack image; Crack500 dataset; Semantic map at image center; The crack is approximately 1.5 inches wide; Diagonal, elongated semantic map in top left to bottom right;", + "overview": "BW semantic GT map of pavement crack image", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "Diagonal, elongated semantic map in top left to bottom right." + }, + { + "image": "training/annotations/161.png", + "caption": "GT pavement crack image semantic map; Crack500 dataset; Semantic map: center of image; Crack length: 1.5 inches; White line drawing of a long, winding crack on pavement, widest in the middle;", + "overview": "GT pavement crack image semantic map", + "dataset": "Crack500 dataset", + "location": "Semantic map: center of image.", + "size": "Crack length: 1.5 inches", + "trend_shape": "White line drawing of a long, winding crack on pavement, widest in the middle." + }, + { + "image": "training/annotations/162.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map is centered; The crack is about 10 inches long; Two parallel curved cracks with branches, 30 pixels apart, 10 pixels between branches, 2 pixels wide;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map is centered.", + "size": "The crack is about 10 inches long.", + "trend_shape": "Two parallel curved cracks with branches, 30 pixels apart, 10 pixels between branches, 2 pixels wide." + }, + { + "image": "training/annotations/163.png", + "caption": "Pavement crack GT semantic map; Crack500 dataset; Semantic map at image center; Crack: 1.5\" wide, 10\" long; Semantic map shows thick-middle, thin-end, near-vertical crack;", + "overview": "Pavement crack GT semantic map.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "Crack: 1.5\" wide, 10\" long", + "trend_shape": "Semantic map shows thick-middle, thin-end, near-vertical crack." + }, + { + "image": "training/annotations/164.png", + "caption": "This is a GT semantic map of a pavement crack image; Crack500 dataset; Semantic map at image center; The crack is about 20 cm long and 2 mm wide; Complex semantic map with varying-width and -length cracks;", + "overview": "This is a GT semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 20 cm long and 2 mm wide.", + "trend_shape": "Complex semantic map with varying-width and -length cracks." + }, + { + "image": "training/annotations/165.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map in image center; The crack is about 10 inches long and 1/4 inch wide; Winding crack runs diagonally with branches, varying in width;", + "overview": "GT semantic map of pavement crack image", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "The crack is about 10 inches long and 1/4 inch wide.", + "trend_shape": "Winding crack runs diagonally with branches, varying in width." + }, + { + "image": "training/annotations/166.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Center of image depicts semantic map; The crack is about 10 cm long and 2 mm wide; Curved white line with 10px width and branches;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Center of image depicts semantic map.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "Curved white line with 10px width and branches." + }, + { + "image": "training/annotations/167.png", + "caption": "Crack500 dataset semantic map of a pavement crack image; Crack500 dataset; Semantic map is image-centric; The crack is about 10 inches long; Diagonal crack spans image top-left to bottom-right, branching in middle;", + "overview": "Crack500 dataset semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map is image-centric.", + "size": "The crack is about 10 inches long.", + "trend_shape": "Diagonal crack spans image top-left to bottom-right, branching in middle." + }, + { + "image": "training/annotations/169.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map at image center; The crack is approximately 10 inches long; White curve on black background, closed loop starting lower left, going right and down;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is approximately 10 inches long.", + "trend_shape": "White curve on black background, closed loop starting lower left, going right and down." + }, + { + "image": "training/annotations/170.png", + "caption": "GT semantic map of a pavement crack image; Crack500 dataset; Semantic map at image center; The crack is about 12 inches long and 2 inches wide; Two large parallel curvilinear cracks diagonally cross image, with two smaller offshoots from one near the top;", + "overview": "GT semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 12 inches long and 2 inches wide.", + "trend_shape": "Two large parallel curvilinear cracks diagonally cross image, with two smaller offshoots from one near the top." + }, + { + "image": "training/annotations/171.png", + "caption": "This is a semantic map (groundtrue (GT)) of a pavement crack image; Crack500 dataset; The semantic map is located in the center of the image; The crack is about 1/8 inch wide and 2 inches long; The semantic map shows a single crack which is nearly vertical and slightly bending towards left;", + "overview": "This is a semantic map (groundtrue (GT)) of a pavement crack image.", + "dataset": "Crack500 dataset.", + "location": "The semantic map is located in the center of the image.", + "size": "The crack is about 1/8 inch wide and 2 inches long.", + "trend_shape": "The semantic map shows a single crack which is nearly vertical and slightly bending towards left." + }, + { + "image": "training/annotations/172.png", + "caption": "GT pavement crack semantic map; Crack500 dataset; Semantic map at image center; Crack: approximate 1.5\" wide, 12\" long; Vertical crack, slightly leftward, 10px wide;", + "overview": "GT pavement crack semantic map.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "Crack: approximate 1.5\" wide, 12\" long.", + "trend_shape": "Vertical crack, slightly leftward, 10px wide." + }, + { + "image": "training/annotations/173.png", + "caption": "Pavement crack image semantic map (groundtruth); Crack500 dataset; Map is centered; Crack: 1.5\" wide, 10\" long; White curve on black background, diagonal closed shape with sharp turns;", + "overview": "Pavement crack image semantic map (groundtruth)", + "dataset": "Crack500 dataset", + "location": "Map is centered.", + "size": "Crack: 1.5\" wide, 10\" long", + "trend_shape": "White curve on black background, diagonal closed shape with sharp turns." + }, + { + "image": "training/annotations/174.png", + "caption": "This is a semantic map (groundtrue (GT)) of a pavement crack image; Crack500 dataset; The semantic map is located in the center of the image; The crack is approximately 1.5 inches wide; The semantic map is a thin, horizontal line that is slightly curved;", + "overview": "This is a semantic map (groundtrue (GT)) of a pavement crack image.", + "dataset": "Crack500 dataset.", + "location": "The semantic map is located in the center of the image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "The semantic map is a thin, horizontal line that is slightly curved." + }, + { + "image": "training/annotations/175.png", + "caption": "GT pavement crack map from Crack500 dataset; Crack500 dataset; Map at image center; Crack length: 10 inches; Single, thick, twisted crack shown on map;", + "overview": "GT pavement crack map from Crack500 dataset.", + "dataset": "Crack500 dataset", + "location": "Map at image center.", + "size": "Crack length: 10 inches.", + "trend_shape": "Single, thick, twisted crack shown on map." + }, + { + "image": "training/annotations/178.png", + "caption": "Semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map at image center; The crack is about 1.5 inches wide; White, 5-pixel wide, curved semantic map line with branches;", + "overview": "Semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 1.5 inches wide.", + "trend_shape": "White, 5-pixel wide, curved semantic map line with branches." + }, + { + "image": "training/annotations/179.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map at image center; The crack is approximately 30 cm long and 1 cm wide; Curved 5-pixel white line;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is approximately 30 cm long and 1 cm wide.", + "trend_shape": "Curved 5-pixel white line." + }, + { + "image": "training/annotations/18.png", + "caption": "B/W semantic map (GT) of pavement crack; Crack500 dataset; Semantic map: center of image; Crack: 1.5\" long, 0.25\" wide; Diagonal crack, top left to bottom right, ~10px wide;", + "overview": "B/W semantic map (GT) of pavement crack.", + "dataset": "Crack500 dataset", + "location": "Semantic map: center of image.", + "size": "Crack: 1.5\" long, 0.25\" wide", + "trend_shape": "Diagonal crack, top left to bottom right, ~10px wide." + }, + { + "image": "training/annotations/181.png", + "caption": "GT semantic map of a pavement crack image; Crack500 dataset; Semantic map is in image center; The crack is about 10 cm long; Diagonal crack (width: 10px) runs top left to bottom right of semantic map image;", + "overview": "GT semantic map of a pavement crack image", + "dataset": "Crack500 dataset", + "location": "Semantic map is in image center.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Diagonal crack (width: 10px) runs top left to bottom right of semantic map image." + }, + { + "image": "training/annotations/182.png", + "caption": "BW semantic map of pavement crack from Crack500 dataset; Crack500 dataset; Semantic map is centered; The crack is about 10 cm long and 2 mm wide; Semantic map depicts a 10-pixel-wide crack with vertical, horizontal, and diagonal branches;", + "overview": "BW semantic map of pavement crack from Crack500 dataset.", + "dataset": "Crack500 dataset", + "location": "Semantic map is centered.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "Semantic map depicts a 10-pixel-wide crack with vertical, horizontal, and diagonal branches." + }, + { + "image": "training/annotations/183.png", + "caption": "Black/white semantic map (GT) of pavement crack; Crack500 dataset; Semantic map at image center; Crack: ~20 cm x 1 cm; Interconnected cracks of various orientations cover a large area;", + "overview": "Black/white semantic map (GT) of pavement crack.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "Crack: ~20 cm x 1 cm", + "trend_shape": "Interconnected cracks of various orientations cover a large area." + }, + { + "image": "training/annotations/184.png", + "caption": "Semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map is centered in the image; Crack measures 10\" x 1/4\"; White curve on black background forms closed loop with branches, mostly horizontal with some sharp turns;", + "overview": "Semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map is centered in the image.", + "size": "Crack measures 10\" x 1/4\".", + "trend_shape": "White curve on black background forms closed loop with branches, mostly horizontal with some sharp turns." + }, + { + "image": "training/annotations/185.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map is central to image; The crack is about 10 inches long; Thick white diagonal line with branches on black background;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map is central to image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "Thick white diagonal line with branches on black background." + }, + { + "image": "training/annotations/186.png", + "caption": "GT pavement crack image semantic map; Crack500 dataset; Semantic map is centered in image; The crack is about 3 inches long; Tree-like semantic map with three branches: one vertical main branch and two diagonal branches extending from its base;", + "overview": "GT pavement crack image semantic map.", + "dataset": "Crack500 dataset", + "location": "Semantic map is centered in image.", + "size": "The crack is about 3 inches long.", + "trend_shape": "Tree-like semantic map with three branches: one vertical main branch and two diagonal branches extending from its base." + }, + { + "image": "training/annotations/188.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map at image center; Crack: 1.5\"W x 10\"L; Diagonal crack, ~10px wide, from top left to bottom right;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "Crack: 1.5\"W x 10\"L", + "trend_shape": "Diagonal crack, ~10px wide, from top left to bottom right." + }, + { + "image": "training/annotations/19.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map in image center; The crack is approximately 1.5 inches wide; Semantic map displays a nearly horizontal, slightly downward sloping crack with minor deviations;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "Semantic map displays a nearly horizontal, slightly downward sloping crack with minor deviations." + }, + { + "image": "training/annotations/190.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Map is in image center; Crack: 10 cm long, 2 mm wide; Diagonal crack (10px wide) from top left to bottom right of image;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map is in image center.", + "size": "Crack: 10 cm long, 2 mm wide.", + "trend_shape": "Diagonal crack (10px wide) from top left to bottom right of image." + }, + { + "image": "training/annotations/191.png", + "caption": "BW semantic GT map of a pavement crack image; Crack500 dataset; Semantic map: center of the image; The crack is about 10 cm long; Map displays a large vertical crack in its center with smaller branching cracks. Main crack is 10 pixels wide at its widest, smaller cracks are 5 pixels wide at their widest;", + "overview": "BW semantic GT map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map: center of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Map displays a large vertical crack in its center with smaller branching cracks. Main crack is 10 pixels wide at its widest, smaller cracks are 5 pixels wide at their widest." + }, + { + "image": "training/annotations/192.png", + "caption": "BW semantic map (GT) of pavement crack image; Crack500 dataset; Map's center holds semantic map; The crack is about 1/4 inch wide and 10 inches long; Complex semantic map with multiple branches and intersections; main branch (300x10 pixels) runs top left to bottom right;", + "overview": "BW semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map's center holds semantic map.", + "size": "The crack is about 1/4 inch wide and 10 inches long.", + "trend_shape": "Complex semantic map with multiple branches and intersections; main branch (300x10 pixels) runs top left to bottom right." + }, + { + "image": "training/annotations/194.png", + "caption": "Semantic GT pavement crack image map; Crack500 dataset; Semantic map is center of image; The crack is about 10 cm long and 1 cm wide; Semantic map has three branches: horizontal main branch with two diagonal branches at 45-degree angles in corners;", + "overview": "Semantic GT pavement crack image map.", + "dataset": "Crack500 dataset", + "location": "Semantic map is center of image.", + "size": "The crack is about 10 cm long and 1 cm wide.", + "trend_shape": "Semantic map has three branches: horizontal main branch with two diagonal branches at 45-degree angles in corners." + }, + { + "image": "training/annotations/195.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Map is centered; The crack is about 20 cm long and 1 cm wide; Semantic map has various cracks: main crack (middle, 30px wide, 100px long) and surrounding small cracks (50px long, 10px wide);", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map is centered.", + "size": "The crack is about 20 cm long and 1 cm wide.", + "trend_shape": "Semantic map has various cracks: main crack (middle, 30px wide, 100px long) and surrounding small cracks (50px long, 10px wide)." + }, + { + "image": "training/annotations/198.png", + "caption": "GT semantic map of a pavement crack image; Crack500 dataset; Semantic map centered in image; The crack is about 20 centimeters long; Y-shaped semantic map with two cracks: left crack straight, right crack curved;", + "overview": "GT semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered in image.", + "size": "The crack is about 20 centimeters long.", + "trend_shape": "Y-shaped semantic map with two cracks: left crack straight, right crack curved." + }, + { + "image": "training/annotations/199.png", + "caption": "Groundtrue (GT) semantic map of a pavement crack image; Crack500 dataset; The semantic map centers the image; The crack is about 1.5 inches wide; White horizontal curve, 10px wide, slight downward trend;", + "overview": "Groundtrue (GT) semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "The semantic map centers the image.", + "size": "The crack is about 1.5 inches wide.", + "trend_shape": "White horizontal curve, 10px wide, slight downward trend." + }, + { + "image": "training/annotations/2.png", + "caption": "This is a semantic map (groundtrue (GT)) of a pavement crack image; Crack500 dataset; The semantic map is located in the center of the image; 1.5\" wide, 10\" long crack; The semantic map has a long and winding shape, with many branches and curves;", + "overview": "This is a semantic map (groundtrue (GT)) of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "The semantic map is located in the center of the image.", + "size": "1.5\" wide, 10\" long crack.", + "trend_shape": "The semantic map has a long and winding shape, with many branches and curves." + }, + { + "image": "training/annotations/20.png", + "caption": "Semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map at image center; 1.5\"W x 12\"L crack; White closed curve on black background, bumpy and wiggly;", + "overview": "Semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "1.5\"W x 12\"L crack", + "trend_shape": "White closed curve on black background, bumpy and wiggly." + }, + { + "image": "training/annotations/200.png", + "caption": "GT semantic map of a pavement crack image; Crack500 dataset; Semantic map in image center; 10\" long, 0.25\" wide crack; Vertical crack bisects image, mostly straight with slight bends;", + "overview": "GT semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "10\" long, 0.25\" wide crack", + "trend_shape": "Vertical crack bisects image, mostly straight with slight bends." + }, + { + "image": "training/annotations/201.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map at image center; The crack is approximately 1.5 inches wide; Horizontal crack with ~100px wide main and ~50px wide branches shown in semantic map;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "Horizontal crack with ~100px wide main and ~50px wide branches shown in semantic map." + }, + { + "image": "training/annotations/202.png", + "caption": "BW semantic map (GT) of pavement crack image from Crack500 dataset; Crack500 dataset; Semantic map at image center; The crack is about 20 cm long and 1 cm wide; Diagonal crack from top left to bottom right, mostly straight with slight leftward curve;", + "overview": "BW semantic map (GT) of pavement crack image from Crack500 dataset.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 20 cm long and 1 cm wide;", + "trend_shape": "Diagonal crack from top left to bottom right, mostly straight with slight leftward curve." + }, + { + "image": "training/annotations/203.png", + "caption": "GT pavement crack semantic map; Crack500 dataset; Semantic map at image center; The crack is about 5 inches long; Complex semantic map with multiple branches, narrow crack running vertically down center with smaller offshoots;", + "overview": "GT pavement crack semantic map.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 5 inches long.", + "trend_shape": "Complex semantic map with multiple branches, narrow crack running vertically down center with smaller offshoots." + }, + { + "image": "training/annotations/205.png", + "caption": "Ground-truth pavement crack image semantic map; Crack500 dataset; Semantic map is centered in image; The crack is about 1.5 inches long; Semantic map shows a ~10px wide central crack with two ~5px wide perpendicular branches;", + "overview": "Ground-truth pavement crack image semantic map.", + "dataset": "Crack500 dataset", + "location": "Semantic map is centered in image.", + "size": "The crack is about 1.5 inches long.", + "trend_shape": "Semantic map shows a ~10px wide central crack with two ~5px wide perpendicular branches." + }, + { + "image": "training/annotations/206.png", + "caption": "Black and white GT semantic map of a pavement crack image from Crack500 dataset; Crack500 dataset; Map in image center; Crack: 1.5\" wide; Long, thin semantic map with small branches; main crack is vertical;", + "overview": "Black and white GT semantic map of a pavement crack image from Crack500 dataset.", + "dataset": "Crack500 dataset", + "location": "Map in image center.", + "size": "Crack: 1.5\" wide", + "trend_shape": "Long, thin semantic map with small branches; main crack is vertical." + }, + { + "image": "training/annotations/207.png", + "caption": "Map (GT) of pavement crack image; Crack500 dataset; Semantic map at image center; Crack: 1.5\" wide, 10\" long; White 5-pixel curved semantic line with branches;", + "overview": "Map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "Crack: 1.5\" wide, 10\" long", + "trend_shape": "White 5-pixel curved semantic line with branches." + }, + { + "image": "training/annotations/208.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map centrally located; The crack is about 10 inches long; Large area of connected cracks with thick main branches and many small branches, oriented horizontally and vertically;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map centrally located.", + "size": "The crack is about 10 inches long.", + "trend_shape": "Large area of connected cracks with thick main branches and many small branches, oriented horizontally and vertically." + }, + { + "image": "training/annotations/209.png", + "caption": "Crack500 dataset semantic map (GT) for a pavement crack image; Crack500 dataset; Crack500 dataset semantic map is centered; The crack is about 3 inches long; Crack500 dataset: Single large vertical crack with branching offshoots;", + "overview": "Crack500 dataset semantic map (GT) for a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Crack500 dataset semantic map is centered.", + "size": "The crack is about 3 inches long.", + "trend_shape": "Crack500 dataset: Single large vertical crack with branching offshoots." + }, + { + "image": "training/annotations/210.png", + "caption": "Semantic map (GT) of a pavement crack; Crack500 dataset; Semantic map: center of image; The crack is approximately 1.5 inches long; White curve on black background, closed loop from upper left to bottom right, 10 pixels wide;", + "overview": "Semantic map (GT) of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "Semantic map: center of image.", + "size": "The crack is approximately 1.5 inches long.", + "trend_shape": "White curve on black background, closed loop from upper left to bottom right, 10 pixels wide." + }, + { + "image": "training/annotations/211.png", + "caption": "Pavement crack GT semantic map; Crack500 dataset; Map center image; The crack is about 10 cm long; Diagonal crack in semantic map from top left to bottom right, surrounded by smaller, variably oriented cracks;", + "overview": "Pavement crack GT semantic map.", + "dataset": "Crack500 dataset", + "location": "Map center image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Diagonal crack in semantic map from top left to bottom right, surrounded by smaller, variably oriented cracks." + }, + { + "image": "training/annotations/212.png", + "caption": "Semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map centered; The crack is about 10 cm long; Pavement cracks are abundant, mainly thin and vertical with some thicker and horizontal ones; concentration in image center;", + "overview": "Semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Pavement cracks are abundant, mainly thin and vertical with some thicker and horizontal ones; concentration in image center." + }, + { + "image": "training/annotations/213.png", + "caption": "Semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map in image center; Crack: ~1.5\" long x 0.25\" wide; The large diagonal crack has jagged edges, is 10 pixels wide, and has two smaller branching cracks;", + "overview": "Semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "Crack: ~1.5\" long x 0.25\" wide", + "trend_shape": "The large diagonal crack has jagged edges, is 10 pixels wide, and has two smaller branching cracks." + }, + { + "image": "training/annotations/214.png", + "caption": "GT semantic map of a pavement crack image; Crack500 dataset; Semantic map at image center; The crack is about 10 inches long; Diagonal crack, 10-pixel width, top-left to bottom-right;", + "overview": "GT semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 10 inches long.", + "trend_shape": "Diagonal crack, 10-pixel width, top-left to bottom-right." + }, + { + "image": "training/annotations/216.png", + "caption": "Semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map in image center; The crack is approximately 1.5 inches wide; Horizontal crack: thick middle, thin ends, slight upward curve;", + "overview": "Semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "Horizontal crack: thick middle, thin ends, slight upward curve." + }, + { + "image": "training/annotations/217.png", + "caption": "This is a black and white semantic map (groundtrue (GT)) of a pavement crack image; Crack500 dataset; The semantic map is located in the center of the image; The size of the semantic map is 256x256 pixels; The semantic map is a long and thin vertical line with a few small branches;", + "overview": "This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.", + "dataset": "Crack500 dataset.", + "location": "The semantic map is located in the center of the image.", + "size": "The size of the semantic map is 256x256 pixels.", + "trend_shape": "The semantic map is a long and thin vertical line with a few small branches." + }, + { + "image": "training/annotations/219.png", + "caption": "BW semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map in image center; The crack is about 10 cm long; 3 connected branches in semantic map: 2 straight on left, 1 curved on right;", + "overview": "BW semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "The crack is about 10 cm long.", + "trend_shape": "3 connected branches in semantic map: 2 straight on left, 1 curved on right." + }, + { + "image": "training/annotations/22.png", + "caption": "This is a semantic map (groundtrue (GT)) of pavement crack image; Crack500 dataset; The semantic map is located at the center of the image; The crack is about 10 inches long and 1/4 inch wide; The semantic map has a long and winding shape, with multiple branches and intersections;", + "overview": "This is a semantic map (groundtrue (GT)) of pavement crack image.", + "dataset": "Crack500 dataset.", + "location": "The semantic map is located at the center of the image.", + "size": "The crack is about 10 inches long and 1/4 inch wide.", + "trend_shape": "The semantic map has a long and winding shape, with multiple branches and intersections." + }, + { + "image": "training/annotations/220.png", + "caption": "Semantic map of a black and white pavement crack image from Crack500 dataset; Crack500 dataset; Semantic map in image center; Crack: 30 cm x 1 cm; Winding, thin crack (5px wide) on long, sharp-turning semantic map;", + "overview": "Semantic map of a black and white pavement crack image from Crack500 dataset.", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "Crack: 30 cm x 1 cm", + "trend_shape": "Winding, thin crack (5px wide) on long, sharp-turning semantic map." + }, + { + "image": "training/annotations/221.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map at image center; The crack is approximately 1.5 inches wide; White, thick, branched curve on a black background, oriented horizontally;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "White, thick, branched curve on a black background, oriented horizontally." + }, + { + "image": "training/annotations/222.png", + "caption": "This is a pavement crack image's GT semantic map; Crack500 dataset; Semantic map at image center; 1.5\" wide x 10\" long crack; Horizontal crack thickens from ends to middle;", + "overview": "This is a pavement crack image's GT semantic map.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "1.5\" wide x 10\" long crack.", + "trend_shape": "Horizontal crack thickens from ends to middle." + }, + { + "image": "training/annotations/223.png", + "caption": "Crack500 dataset GT semantic map of pavement crack image; Crack500 dataset; Semantic map at image center; Semantic map: 10\" long, 0.25\" wide; Horizontal crack with uniform width and minor jaggedness;", + "overview": "Crack500 dataset GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "Semantic map: 10\" long, 0.25\" wide", + "trend_shape": "Horizontal crack with uniform width and minor jaggedness." + }, + { + "image": "training/annotations/224.png", + "caption": "GT semantic map of a pavement crack image from Crack500 dataset; Crack500 dataset; Semantic map at image center; The crack is about 10 cm long; Oriented horizontally across the image, the thin, long semantic map resembles a snake with many sharp bends;", + "overview": "GT semantic map of a pavement crack image from Crack500 dataset.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Oriented horizontally across the image, the thin, long semantic map resembles a snake with many sharp bends." + }, + { + "image": "training/annotations/226.png", + "caption": "GT pavement crack image semantic map; Crack500 dataset; Semantic map is centered in the image; The crack is about 10 cm long; Pavement cracks vary in size and direction, mostly thin and short with some wide and long;", + "overview": "GT pavement crack image semantic map.", + "dataset": "Crack500 dataset", + "location": "Semantic map is centered in the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Pavement cracks vary in size and direction, mostly thin and short with some wide and long." + }, + { + "image": "training/annotations/227.png", + "caption": "This is a GT semantic map of a pavement crack image; Crack500 dataset; Semantic map centered in image; The crack is approximately 10 inches long; Winding semantic map with thick middle-thin end crack and few branches;", + "overview": "This is a GT semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered in image.", + "size": "The crack is approximately 10 inches long.", + "trend_shape": "Winding semantic map with thick middle-thin end crack and few branches." + }, + { + "image": "training/annotations/229.png", + "caption": "BW semantic map of pavement cracks; Crack500 dataset; Semantic map at image center; The crack is about 10 cm long and 1 cm wide; Map has two large parallel \"C\" cracks and scattered smaller cracks;", + "overview": "BW semantic map of pavement cracks.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 10 cm long and 1 cm wide.", + "trend_shape": "Map has two large parallel \"C\" cracks and scattered smaller cracks." + }, + { + "image": "training/annotations/230.png", + "caption": "GT semantic map of a pavement crack image from Crack500 dataset; Crack500 dataset; Semantic map at image center; 10\" crack, 1/4\" wide; Diagonal crack from top left to bottom right on semantic map, mostly straight with slight bends;", + "overview": "GT semantic map of a pavement crack image from Crack500 dataset.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "10\" crack, 1/4\" wide", + "trend_shape": "Diagonal crack from top left to bottom right on semantic map, mostly straight with slight bends." + }, + { + "image": "training/annotations/231.png", + "caption": "Semantic map (GT) of pavement crack image; Crack500 dataset; Map centers image; The crack is about 1.5 inches wide; Curved white line with 5px width and branches;", + "overview": "Semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map centers image.", + "size": "The crack is about 1.5 inches wide.", + "trend_shape": "Curved white line with 5px width and branches" + }, + { + "image": "training/annotations/232.png", + "caption": "BW semantic map (GT) of pavement crack; Crack500 dataset; Semantic map in image center; The crack is approximately 1.5 inches wide; The semantic map of the ant trail extends from the top left corner to the bottom right corner of the image;", + "overview": "BW semantic map (GT) of pavement crack.", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "The crack is approximately 1.5 inches wide;", + "trend_shape": "The semantic map of the ant trail extends from the top left corner to the bottom right corner of the image." + }, + { + "image": "training/annotations/233.png", + "caption": "GT semantic map of a pavement crack image; Crack500 dataset; Semantic map centered in image; The crack is approximately 1.5 inches long; White 5-pixel curved line with branches;", + "overview": "GT semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered in image.", + "size": "The crack is approximately 1.5 inches long.", + "trend_shape": "White 5-pixel curved line with branches." + }, + { + "image": "training/annotations/234.png", + "caption": "GT semantic map of a pavement crack image; Crack500 dataset; Semantic map in image center; 10 cm long, 1 mm wide crack; Complex, branched semantic map with a long, winding main crack;", + "overview": "GT semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "10 cm long, 1 mm wide crack.", + "trend_shape": "Complex, branched semantic map with a long, winding main crack." + }, + { + "image": "training/annotations/236.png", + "caption": "Crack500 dataset semantic map of pavement crack image (white: cracks, black: background); Crack500 dataset; Crack500 dataset map at image center; The crack is about 10 inches long and 1/4 inch wide; Single large crack curves from upper left to lower right in Crack500 dataset map;", + "overview": "Crack500 dataset semantic map of pavement crack image (white: cracks, black: background).", + "dataset": "Crack500 dataset", + "location": "Crack500 dataset map at image center.", + "size": "The crack is about 10 inches long and 1/4 inch wide.", + "trend_shape": "Single large crack curves from upper left to lower right in Crack500 dataset map." + }, + { + "image": "training/annotations/237.png", + "caption": "Semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map centers the image; The crack is approximately 1.5 inches long and 0.25 inches wide; 5-pixel-wide white semantic map line, curved with branches;", + "overview": "Semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map centers the image.", + "size": "The crack is approximately 1.5 inches long and 0.25 inches wide.", + "trend_shape": "5-pixel-wide white semantic map line, curved with branches." + }, + { + "image": "training/annotations/24.png", + "caption": "Semantic map (GT) of pavement cracks; Crack500 dataset; Semantic map in image center; The crack is about 10 cm long and 1 cm wide; Diagonal crack from top left to bottom right, widest in middle, with smaller branching cracks;", + "overview": "Semantic map (GT) of pavement cracks.", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "The crack is about 10 cm long and 1 cm wide.", + "trend_shape": "Diagonal crack from top left to bottom right, widest in middle, with smaller branching cracks." + }, + { + "image": "training/annotations/241.png", + "caption": "This is a black and white semantic map (groundtrue (GT)) of a pavement crack image; Crack500 dataset; The semantic map is located in the center of the image; Crack: 1.5\" long, 0.25\" wide; The semantic map is a long and thin vertical line, with a few small branches;", + "overview": "This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "The semantic map is located in the center of the image.", + "size": "Crack: 1.5\" long, 0.25\" wide", + "trend_shape": "The semantic map is a long and thin vertical line, with a few small branches." + }, + { + "image": "training/annotations/243.png", + "caption": "GT black-and-white semantic map of pavement crack from the Crack500 dataset; Crack500 dataset; Semantic map centered in image; The crack is about 1.5 inches wide; Winding semantic map with sharp turns; thick central crack tapers toward ends;", + "overview": "GT black-and-white semantic map of pavement crack from the Crack500 dataset.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered in image.", + "size": "The crack is about 1.5 inches wide;", + "trend_shape": "Winding semantic map with sharp turns; thick central crack tapers toward ends." + }, + { + "image": "training/annotations/244.png", + "caption": "Pavement crack image groundtruth; Crack500 dataset; Semantic map at image center; Crack: 10 cm long, 1 cm wide; Diagonal crack, 10 pixels wide, top left to bottom right;", + "overview": "Pavement crack image groundtruth.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "Crack: 10 cm long, 1 cm wide", + "trend_shape": "Diagonal crack, 10 pixels wide, top left to bottom right." + }, + { + "image": "training/annotations/245.png", + "caption": "Semantic map of pavement crack; Crack500 dataset; Semantic map at image center; The crack is about 10 cm long; Map has two branches: one from top left to bottom right, the other from middle left to bottom right;", + "overview": "Semantic map of pavement crack.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Map has two branches: one from top left to bottom right, the other from middle left to bottom right." + }, + { + "image": "training/annotations/246.png", + "caption": "GT semantic map of a pavement crack image; Crack500 dataset; Semantic map: center of image; The crack is about 1.5 inches wide; Diagonally oriented, long and winding semantic map from top left to bottom right;", + "overview": "GT semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map: center of image.", + "size": "The crack is about 1.5 inches wide.", + "trend_shape": "Diagonally oriented, long and winding semantic map from top left to bottom right." + }, + { + "image": "training/annotations/247.png", + "caption": "BW semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map at image center; Crack: ~1.5\" long, 0.25\" wide; Vertical crack on map, with small diagonal cracks in lower left corner;", + "overview": "BW semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "Crack: ~1.5\" long, 0.25\" wide", + "trend_shape": "Vertical crack on map, with small diagonal cracks in lower left corner." + }, + { + "image": "training/annotations/248.png", + "caption": "Semantic pavement crack map; Crack500 dataset; Semantic map centers image; The crack is about 10 cm long; Complex semantic map with vertical, horizontal, and diagonal cracks of varying widths;", + "overview": "Semantic pavement crack map.", + "dataset": "Crack500 dataset", + "location": "Semantic map centers image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Complex semantic map with vertical, horizontal, and diagonal cracks of varying widths." + }, + { + "image": "training/annotations/25.png", + "caption": "BW semantic map (GT) of pavement crack; Crack500 dataset; Semantic map is centered; 10\" long, 1/4\" wide crack; Thin, jagged, horizontal crack with branches visible on the semantic map;", + "overview": "BW semantic map (GT) of pavement crack.", + "dataset": "Crack500 dataset", + "location": "Semantic map is centered.", + "size": "10\" long, 1/4\" wide crack", + "trend_shape": "Thin, jagged, horizontal crack with branches visible on the semantic map." + }, + { + "image": "training/annotations/250.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map centered in image; The crack is about 10 inches long; Diagonal crack, width 10 pixels, jagged edge, with smaller branching cracks;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered in image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "Diagonal crack, width 10 pixels, jagged edge, with smaller branching cracks." + }, + { + "image": "training/annotations/251.png", + "caption": "BW semantic map (GT) of pavement crack from Crack500 dataset; Crack500 dataset; Semantic map centered; The crack is about 10 inches long; Large crack from bottom left, curving right, 10 pixels wide;", + "overview": "BW semantic map (GT) of pavement crack from Crack500 dataset.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered.", + "size": "The crack is about 10 inches long.", + "trend_shape": "Large crack from bottom left, curving right, 10 pixels wide." + }, + { + "image": "training/annotations/252.png", + "caption": "GT semantic map of a pavement crack; Crack500 dataset; Semantic map at image center; Crack: 10\" long, 1/4\" wide; Curved white line, 10-pixel width, starts top left, ends bottom right;", + "overview": "GT semantic map of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "Crack: 10\" long, 1/4\" wide", + "trend_shape": "Curved white line, 10-pixel width, starts top left, ends bottom right." + }, + { + "image": "training/annotations/253.png", + "caption": "Pavement crack image semantic map (GT); Crack500 dataset; Map at image center; Semantic map is about 3 inches long; Diagonal crack, 10px wide, from bottom left to top right of image;", + "overview": "Pavement crack image semantic map (GT).", + "dataset": "Crack500 dataset", + "location": "Map at image center.", + "size": "Semantic map is about 3 inches long", + "trend_shape": "Diagonal crack, 10px wide, from bottom left to top right of image." + }, + { + "image": "training/annotations/254.png", + "caption": "Pavement crack GT semantic map; Crack500 dataset; Semantic map at image center; The crack is approximately 15 centimeters long; Binary semantic map shows white pavement cracks on a black background; cracks are thin, long, and directional;", + "overview": "Pavement crack GT semantic map.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is approximately 15 centimeters long.", + "trend_shape": "Binary semantic map shows white pavement cracks on a black background; cracks are thin, long, and directional." + }, + { + "image": "training/annotations/255.png", + "caption": "Semantic map (GT) of a pavement crack; Crack500 dataset; Map at image center; The crack is about 10 cm long and 2 mm wide; Complex semantic map with multiple branches and intersections. Main branch runs top left to bottom right, with varying crack width;", + "overview": "Semantic map (GT) of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "Map at image center.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "Complex semantic map with multiple branches and intersections. Main branch runs top left to bottom right, with varying crack width." + }, + { + "image": "training/annotations/256.png", + "caption": "Semantic map (GT) of pavement crack image; Crack500 dataset; Map central to image; The crack is about 10 cm long; Vertical main crack with branches: from top center to bottom center, upward branch to top-left, downward branches to bottom-left and bottom-right;", + "overview": "Semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map central to image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Vertical main crack with branches: from top center to bottom center, upward branch to top-left, downward branches to bottom-left and bottom-right." + }, + { + "image": "training/annotations/257.png", + "caption": "BW semantic map of pavement crack from the Crack500 dataset; Crack500 dataset; Semantic map centers image; The crack is about 10 cm long; Large, nearly vertical crack with a slight rightward curve;", + "overview": "BW semantic map of pavement crack from the Crack500 dataset.", + "dataset": "Crack500 dataset", + "location": "Semantic map centers image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Large, nearly vertical crack with a slight rightward curve." + }, + { + "image": "training/annotations/258.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map at image center; The crack is about 1.5 inches long and 0.5 inches wide; Long, winding semantic map with multiple branches, generally top-left to bottom-right;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 1.5 inches long and 0.5 inches wide.", + "trend_shape": "Long, winding semantic map with multiple branches, generally top-left to bottom-right." + }, + { + "image": "training/annotations/259.png", + "caption": "Pavement crack image semantic map; Crack500 dataset; Semantic map centered in image; The crack is about 10 cm long and 1 mm wide; Diagonal curvilinear line from top left to bottom right of image;", + "overview": "Pavement crack image semantic map.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered in image.", + "size": "The crack is about 10 cm long and 1 mm wide.", + "trend_shape": "Diagonal curvilinear line from top left to bottom right of image." + }, + { + "image": "training/annotations/26.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map centered in image; The crack is approximately 10 cm long and 1 mm wide; Thick, middle-heavy, horizontal crack with slight upward curve;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered in image.", + "size": "The crack is approximately 10 cm long and 1 mm wide.", + "trend_shape": "Thick, middle-heavy, horizontal crack with slight upward curve." + }, + { + "image": "training/annotations/262.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Map in image center; The crack is approximately 10 inches long and 1/4 inch wide; Semantic map shows long, winding, horizontal crack with average width of 10 pixels;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map in image center.", + "size": "The crack is approximately 10 inches long and 1/4 inch wide.", + "trend_shape": "Semantic map shows long, winding, horizontal crack with average width of 10 pixels." + }, + { + "image": "training/annotations/263.png", + "caption": "This is a semantic map (groundtrue (GT)) of a pavement crack image; Crack500 dataset; The semantic map is located at the center of the image; Crack: 10\" long, 1/4\" wide; The semantic map has a long and winding shape, with a few sharp turns;", + "overview": "This is a semantic map (groundtrue (GT)) of a pavement crack image.", + "dataset": "Crack500 dataset.", + "location": "The semantic map is located at the center of the image.", + "size": "Crack: 10\" long, 1/4\" wide", + "trend_shape": "The semantic map has a long and winding shape, with a few sharp turns." + }, + { + "image": "training/annotations/265.png", + "caption": "BW semantic map (GT) of pavement crack from Crack500 dataset; Crack500 dataset; Semantic map on right; The crack is about 10 cm long and 2 mm wide; Long, diagonal semantic map from top right to bottom left;", + "overview": "BW semantic map (GT) of pavement crack from Crack500 dataset.", + "dataset": "Crack500 dataset", + "location": "Semantic map on right.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "Long, diagonal semantic map from top right to bottom left." + }, + { + "image": "training/annotations/266.png", + "caption": "BW semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map centered in image; 3\" long, 1/4\" wide crack; Large, curved, tapered diagonal crack bisects image;", + "overview": "BW semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered in image.", + "size": "3\" long, 1/4\" wide crack.", + "trend_shape": "Large, curved, tapered diagonal crack bisects image." + }, + { + "image": "training/annotations/267.png", + "caption": "Semantic map (GT) of a pavement crack image; Crack500 dataset; Semantic map is in image center; Semantic map: 256x256 pixels; White, 3px-wide curve from image left to right, ascending then descending;", + "overview": "Semantic map (GT) of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map is in image center.", + "size": "Semantic map: 256x256 pixels.", + "trend_shape": "White, 3px-wide curve from image left to right, ascending then descending." + }, + { + "image": "training/annotations/268.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Map centered in image; Cracks range from hairline to several inches in length; Semantic map depicts numerous small, interconnected cracks, primarily oriented horizontally or vertically;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map centered in image.", + "size": "Cracks range from hairline to several inches in length.", + "trend_shape": "Semantic map depicts numerous small, interconnected cracks, primarily oriented horizontally or vertically." + }, + { + "image": "training/annotations/269.png", + "caption": "Semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map at image center; The crack is about 10 cm long and 2 mm wide; Curved white line semantic map (5px width, branches);", + "overview": "Semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "Curved white line semantic map (5px width, branches)" + }, + { + "image": "training/annotations/27.png", + "caption": "B/W semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map is in image center; The crack is about 10 cm long and 1 mm wide; Long and narrow semantic map, with a vertical main crack and two small branches near its ends;", + "overview": "B/W semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map is in image center.", + "size": "The crack is about 10 cm long and 1 mm wide.", + "trend_shape": "Long and narrow semantic map, with a vertical main crack and two small branches near its ends." + }, + { + "image": "training/annotations/270.png", + "caption": "Semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map is centered; The crack is about 3 inches long; \"Y\"-shaped map with three branches: two smaller at top, one larger at bottom, all connected at center;", + "overview": "Semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map is centered.", + "size": "The crack is about 3 inches long.", + "trend_shape": "\"Y\"-shaped map with three branches: two smaller at top, one larger at bottom, all connected at center." + }, + { + "image": "training/annotations/271.png", + "caption": "BW semantic map (GT) of pavement crack image from Crack500 dataset; Crack500 dataset; Semantic map is centrally imaged; The crack is approximately 1.5 inches wide; Diagonal crack, 100px wide, top left to bottom right;", + "overview": "BW semantic map (GT) of pavement crack image from Crack500 dataset.", + "dataset": "Crack500 dataset", + "location": "Semantic map is centrally imaged.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "Diagonal crack, 100px wide, top left to bottom right." + }, + { + "image": "training/annotations/272.png", + "caption": "Semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map centered in image; The crack is about 10 inches long; Semantic map shows diagonal crack from top left to bottom right, ~10 px wide;", + "overview": "Semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered in image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "Semantic map shows diagonal crack from top left to bottom right, ~10 px wide." + }, + { + "image": "training/annotations/273.png", + "caption": "Pavement crack image semantic map (GT); Crack500 dataset; Central image: Semantic map; The crack is about 10 cm long and 1 cm wide; White, 5px wide, curved line with branches from top left to bottom right;", + "overview": "Pavement crack image semantic map (GT).", + "dataset": "Crack500 dataset", + "location": "Central image: Semantic map.", + "size": "The crack is about 10 cm long and 1 cm wide.", + "trend_shape": "White, 5px wide, curved line with branches from top left to bottom right." + }, + { + "image": "training/annotations/274.png", + "caption": "Black-white semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map at image center; The crack is approximately 10 inches long; Diagonal crack from top left to bottom right, mostly straight with minor bends;", + "overview": "Black-white semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is approximately 10 inches long.", + "trend_shape": "Diagonal crack from top left to bottom right, mostly straight with minor bends." + }, + { + "image": "training/annotations/276.png", + "caption": "B/W semantic map (GT) of pavement crack image; Crack500 dataset; Map in image center; The crack is approximately 1.5 inches wide; White, curved, 5-pixel wide semantic line, bottom left to top right;", + "overview": "B/W semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map in image center.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "White, curved, 5-pixel wide semantic line, bottom left to top right." + }, + { + "image": "training/annotations/277.png", + "caption": "This is a pavement crack GT semantic map; Crack500 dataset; Semantic map centered in image; Semantic map is approximately 1.5 inches wide; White curve on black background, closed shape with sharp turns;", + "overview": "This is a pavement crack GT semantic map.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered in image.", + "size": "Semantic map is approximately 1.5 inches wide.", + "trend_shape": "White curve on black background, closed shape with sharp turns." + }, + { + "image": "training/annotations/278.png", + "caption": "BW semantic GT map of a pavement crack image; Crack500 dataset; Map centers image; The crack is about 1.5 inches wide and 10 inches long; Long, winding semantic map with branches oriented from left to right;", + "overview": "BW semantic GT map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map centers image.", + "size": "The crack is about 1.5 inches wide and 10 inches long;", + "trend_shape": "Long, winding semantic map with branches oriented from left to right." + }, + { + "image": "training/annotations/279.png", + "caption": "GT semantic map of a pavement crack image; Crack500 dataset; Semantic map at image center; The crack is about 10 inches long and 1/4 inch wide; 10-pixel white curvilinear line crosses image from left to right;", + "overview": "GT semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 10 inches long and 1/4 inch wide.", + "trend_shape": "10-pixel white curvilinear line crosses image from left to right." + }, + { + "image": "training/annotations/28.png", + "caption": "Pavement crack image semantic map (GT); Crack500 dataset; Semantic map center image; The crack is approximately 10 inches long and 0.25 inches wide; White, 5-pixel wide, curved semantic map line with branches;", + "overview": "Pavement crack image semantic map (GT).", + "dataset": "Crack500 dataset", + "location": "Semantic map center image.", + "size": "The crack is approximately 10 inches long and 0.25 inches wide.", + "trend_shape": "White, 5-pixel wide, curved semantic map line with branches." + }, + { + "image": "training/annotations/280.png", + "caption": "GT semantic map of a pavement crack image; Crack500 dataset; Map at image center; 10\" long, 1/4\" wide crack; Top-left crack curves right, 10 pixels wide;", + "overview": "GT semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map at image center.", + "size": "10\" long, 1/4\" wide crack", + "trend_shape": "Top-left crack curves right, 10 pixels wide." + }, + { + "image": "training/annotations/281.png", + "caption": "GT pavement crack semantic map; Crack500 dataset; Semantic map at image center; The crack is approximately 1.5 inches wide; Curvilinear, white semantic map with black pavement cracks, oriented horizontally;", + "overview": "GT pavement crack semantic map.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "Curvilinear, white semantic map with black pavement cracks, oriented horizontally." + }, + { + "image": "training/annotations/282.png", + "caption": "Semantic GT map of pavement crack image; Crack500 dataset; Semantic map: center of image; The crack is about 1.5 inches wide; Horizontal crack with thin, downward-trending sinuosity;", + "overview": "Semantic GT map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map: center of image.", + "size": "The crack is about 1.5 inches wide.", + "trend_shape": "Horizontal crack with thin, downward-trending sinuosity." + }, + { + "image": "training/annotations/283.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Map centered in image; The crack is about 10 cm long; Tree-like semantic map with three branches: vertical main branch and two diagonal branches extending from top;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map centered in image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Tree-like semantic map with three branches: vertical main branch and two diagonal branches extending from top." + }, + { + "image": "training/annotations/285.png", + "caption": "Semantic GT map of pavement crack image; Crack500 dataset; Semantic map in image center; The crack is about 10 cm long and 2 mm wide; Semantic map has two cracks: vertical from top to middle and horizontal from middle to right;", + "overview": "Semantic GT map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "Semantic map has two cracks: vertical from top to middle and horizontal from middle to right." + }, + { + "image": "training/annotations/286.png", + "caption": "GT pavement crack image semantic map; Crack500 dataset; Semantic map on right; The crack is about 10 cm long; Diagonal crack shown in semantic map, approximately 10 pixels wide;", + "overview": "GT pavement crack image semantic map", + "dataset": "Crack500 dataset", + "location": "Semantic map on right.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Diagonal crack shown in semantic map, approximately 10 pixels wide." + }, + { + "image": "training/annotations/287.png", + "caption": "BW semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map at image center; The crack is about 1.5 inches long; Long, winding semantic map (10 px wide at widest, 2 px at narrowest);", + "overview": "BW semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 1.5 inches long.", + "trend_shape": "Long, winding semantic map (10 px wide at widest, 2 px at narrowest)." + }, + { + "image": "training/annotations/288.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map centers image; The crack is about 1.5 inches wide; White curve on black background, closed loop from upper left to lower right, made of angled lines;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map centers image.", + "size": "The crack is about 1.5 inches wide.", + "trend_shape": "White curve on black background, closed loop from upper left to lower right, made of angled lines." + }, + { + "image": "training/annotations/289.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Map center of image; The crack is approximately 1.5 inches long; White, 5-pixel wide, curved semantic map line with branches;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map center of image.", + "size": "The crack is approximately 1.5 inches long.", + "trend_shape": "White, 5-pixel wide, curved semantic map line with branches." + }, + { + "image": "training/annotations/290.png", + "caption": "Black-white semantic map (GT) of pavement crack; Crack500 dataset; Map centered in image; The crack is about 10 inches long and 1/4 inch wide; Parallel, curved cracks of varying widths run diagonally top left to bottom right;", + "overview": "Black-white semantic map (GT) of pavement crack.", + "dataset": "Crack500 dataset", + "location": "Map centered in image.", + "size": "The crack is about 10 inches long and 1/4 inch wide.", + "trend_shape": "Parallel, curved cracks of varying widths run diagonally top left to bottom right." + }, + { + "image": "training/annotations/291.png", + "caption": "BW GT semantic map of pavement crack; Crack500 dataset; Semantic map centrally located; Crack is ~1.5 inches long; Vertical crack with slight rightward curve, wider above, ending in a \"T\" shape below;", + "overview": "BW GT semantic map of pavement crack.", + "dataset": "Crack500 dataset", + "location": "Semantic map centrally located.", + "size": "Crack is ~1.5 inches long", + "trend_shape": "Vertical crack with slight rightward curve, wider above, ending in a \"T\" shape below." + }, + { + "image": "training/annotations/293.png", + "caption": "BW semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map at image center; Semantic map: 256x256 pixels; Winding semantic map with sharp turns; thick crack narrows at ends;", + "overview": "BW semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "Semantic map: 256x256 pixels", + "trend_shape": "Winding semantic map with sharp turns; thick crack narrows at ends." + }, + { + "image": "training/annotations/294.png", + "caption": "Crack500 dataset semantic map of pavement crack image (binary: white=crack, black=background); Crack500 dataset; Semantic map at image center; Semantic map: 128x128 pixels; Winding crack, approx. 10 pixels wide;", + "overview": "Crack500 dataset semantic map of pavement crack image (binary: white=crack, black=background).", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "Semantic map: 128x128 pixels", + "trend_shape": "Winding crack, approx. 10 pixels wide." + }, + { + "image": "training/annotations/295.png", + "caption": "Crack500 dataset semantic map of pavement cracks (binary image: white = cracks, black = background); Crack500 dataset; Semantic map is centered in image; The crack is approximately 1.5 inches long; Image shows a 10-pixel wide, curved crack extending from bottom left to bottom right;", + "overview": "Crack500 dataset semantic map of pavement cracks (binary image: white = cracks, black = background).", + "dataset": "Crack500 dataset", + "location": "Semantic map is centered in image.", + "size": "The crack is approximately 1.5 inches long.", + "trend_shape": "Image shows a 10-pixel wide, curved crack extending from bottom left to bottom right." + }, + { + "image": "training/annotations/296.png", + "caption": "GT semantic map of a pavement crack image; Crack500 dataset; Map centered; The crack is about 10 inches long and 1/4 inch wide; Diagonal crack, top left to bottom right, approximate 10 pixels wide;", + "overview": "GT semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map centered.", + "size": "The crack is about 10 inches long and 1/4 inch wide.", + "trend_shape": "Diagonal crack, top left to bottom right, approximate 10 pixels wide." + }, + { + "image": "training/annotations/3.png", + "caption": "BW semantic map (GT) of pavement crack; Crack500 dataset; Semantic map at image center; 1.5' long, 0.5\" wide crack; Diagonal crack from top-left to bottom-right, mostly straight with slight bends;", + "overview": "BW semantic map (GT) of pavement crack.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "1.5' long, 0.5\" wide crack", + "trend_shape": "Diagonal crack from top-left to bottom-right, mostly straight with slight bends." + }, + { + "image": "training/annotations/30.png", + "caption": "Semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map: image center; The crack is about 1.5 inches long and 0.25 inches wide; Semantic map shows a large diagonal crack from top-left to bottom-right, 10 pixels wide with rough, jagged edges;", + "overview": "Semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map: image center.", + "size": "The crack is about 1.5 inches long and 0.25 inches wide.", + "trend_shape": "Semantic map shows a large diagonal crack from top-left to bottom-right, 10 pixels wide with rough, jagged edges." + }, + { + "image": "training/annotations/301.png", + "caption": "This is a semantic map (groundtrue (GT)) of a pavement crack image; Crack500 dataset; The semantic map is located at the center of the image; The size of the semantic map is 256x256 pixels; The semantic map is a long and thin vertical line, with a few small branches;", + "overview": "This is a semantic map (groundtrue (GT)) of a pavement crack image.", + "dataset": "Crack500 dataset.", + "location": "The semantic map is located at the center of the image.", + "size": "The size of the semantic map is 256x256 pixels.", + "trend_shape": "The semantic map is a long and thin vertical line, with a few small branches." + }, + { + "image": "training/annotations/302.png", + "caption": "GT semantic map of pavement cracks; Crack500 dataset; Semantic map: center of image; The crack is about 10 cm long and 1 cm wide; Large diagonal crack, 10 pixels wide, jagged, from top left to bottom right of image;", + "overview": "GT semantic map of pavement cracks.", + "dataset": "Crack500 dataset", + "location": "Semantic map: center of image.", + "size": "The crack is about 10 cm long and 1 cm wide.", + "trend_shape": "Large diagonal crack, 10 pixels wide, jagged, from top left to bottom right of image." + }, + { + "image": "training/annotations/303.png", + "caption": "GT semantic map of a pavement crack image; Crack500 dataset; Semantic map at image center; The crack is about 10 cm long; Winding semantic map with a thick middle and tapering ends;", + "overview": "GT semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Winding semantic map with a thick middle and tapering ends." + }, + { + "image": "training/annotations/304.png", + "caption": "GT black-and-white semantic map of pavement cracks; Crack500 dataset; Semantic map centers the image; The crack is approximately 10 inches long and 0.5 inches wide; Diagonal crack top left to bottom right, mostly straight with slight curve near top;", + "overview": "GT black-and-white semantic map of pavement cracks.", + "dataset": "Crack500 dataset", + "location": "Semantic map centers the image.", + "size": "The crack is approximately 10 inches long and 0.5 inches wide.", + "trend_shape": "Diagonal crack top left to bottom right, mostly straight with slight curve near top." + }, + { + "image": "training/annotations/306.png", + "caption": "GT black and white semantic map of Crack500 dataset pavement crack image; Crack500 dataset; Semantic map: image center; The crack is approximately 10 cm long and 2 mm wide; Long, winding semantic map with sharp turns and a 40-pixel wide diagonal crack from top left to bottom right;", + "overview": "GT black and white semantic map of Crack500 dataset pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map: image center", + "size": "The crack is approximately 10 cm long and 2 mm wide.", + "trend_shape": "Long, winding semantic map with sharp turns and a 40-pixel wide diagonal crack from top left to bottom right." + }, + { + "image": "training/annotations/308.png", + "caption": "BW semantic map (GT) of pavement crack image; Crack500 dataset; Map in image center; Crack: 1/4\" wide, 12\" long; Vertical, jagged crack bisects image;", + "overview": "BW semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map in image center.", + "size": "Crack: 1/4\" wide, 12\" long.", + "trend_shape": "Vertical, jagged crack bisects image." + }, + { + "image": "training/annotations/309.png", + "caption": "Semantic map of black and white Crack500 dataset pavement crack image; Crack500 dataset; Semantic map at image center; Crack: 1.5\"L x 0.25\"W; Horizontal, meandering crack visible on semantic map;", + "overview": "Semantic map of black and white Crack500 dataset pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "Crack: 1.5\"L x 0.25\"W", + "trend_shape": "Horizontal, meandering crack visible on semantic map." + }, + { + "image": "training/annotations/31.png", + "caption": "GT semantic map image of a pavement crack in black and white; Crack500 dataset; Semantic map at image center; 1.5\" x 10\" crack; Curved, white line of varying thickness forms a semicircle;", + "overview": "GT semantic map image of a pavement crack in black and white.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "1.5\" x 10\" crack.", + "trend_shape": "Curved, white line of varying thickness forms a semicircle." + }, + { + "image": "training/annotations/310.png", + "caption": "Black-white semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map centered in image; The crack is about 10 cm long and 2 mm wide; Diagonal crack, widest in the middle with branches, spans image from top left to bottom right;", + "overview": "Black-white semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered in image.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "Diagonal crack, widest in the middle with branches, spans image from top left to bottom right." + }, + { + "image": "training/annotations/311.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Map center of image; The crack is approximately 1.5 inches long; Semantic map reveals large near-vertical crack with branching diagonal cracks;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map center of image.", + "size": "The crack is approximately 1.5 inches long;", + "trend_shape": "Semantic map reveals large near-vertical crack with branching diagonal cracks." + }, + { + "image": "training/annotations/312.png", + "caption": "GT semantic map of a pavement crack image; Crack500 dataset; Semantic map in image center; The crack is approximately 20 cm long and 1 cm wide; Long, vertical crack thickens in middle, thins at ends;", + "overview": "GT semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "The crack is approximately 20 cm long and 1 cm wide.", + "trend_shape": "Long, vertical crack thickens in middle, thins at ends." + }, + { + "image": "training/annotations/313.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Map at image center; The crack is about 10 cm long; Diagonal crack, top left to bottom right, ~10 pixels wide;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map at image center.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Diagonal crack, top left to bottom right, ~10 pixels wide." + }, + { + "image": "training/annotations/314.png", + "caption": "GT black/white pavement crack image map; Crack500 dataset; Semantic map centered; The crack is about 1/4 inch wide and 2 feet long; Winding semantic map with branches and turns;", + "overview": "GT black/white pavement crack image map.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered.", + "size": "The crack is about 1/4 inch wide and 2 feet long;", + "trend_shape": "Winding semantic map with branches and turns." + }, + { + "image": "training/annotations/316.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map center image; Crack approx. 1.5 inches wide; Diagonal crack from top left to bottom right, 100px wide;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map center image.", + "size": "Crack approx. 1.5 inches wide.", + "trend_shape": "Diagonal crack from top left to bottom right, 100px wide." + }, + { + "image": "training/annotations/317.png", + "caption": "GT semantic map of a pavement crack image; Crack500 dataset; Semantic map at image center; The crack is about 1.5 inches long; Nearly horizontal, centrally thickened crack with slight upward curve at ends;", + "overview": "GT semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 1.5 inches long.", + "trend_shape": "Nearly horizontal, centrally thickened crack with slight upward curve at ends." + }, + { + "image": "training/annotations/318.png", + "caption": "GT semantic map of pavement crack from Crack500 dataset; Crack500 dataset; Semantic map at image center; The crack is about 10 cm long and 1 mm wide; Thick, mid-centric crack tapers at ends;", + "overview": "GT semantic map of pavement crack from Crack500 dataset.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 10 cm long and 1 mm wide.", + "trend_shape": "Thick, mid-centric crack tapers at ends." + }, + { + "image": "training/annotations/32.png", + "caption": "B&W semantic map (GT) of pavement cracks; Crack500 dataset; Center-located semantic map; The crack is about 10 cm long and 2 mm wide; Semantic map depicts two near-vertical parallel cracks with interconnecting branches at their base;", + "overview": "B&W semantic map (GT) of pavement cracks.", + "dataset": "Crack500 dataset", + "location": "Center-located semantic map.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "Semantic map depicts two near-vertical parallel cracks with interconnecting branches at their base." + }, + { + "image": "training/annotations/320.png", + "caption": "Semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map in image center; 1/4\" wide x 10\" long crack; White, horizontal, S-shaped curve bisects image center;", + "overview": "Semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "1/4\" wide x 10\" long crack", + "trend_shape": "White, horizontal, S-shaped curve bisects image center." + }, + { + "image": "training/annotations/321.png", + "caption": "BW semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map: center of image; The crack is about 1/4 inch wide and 12 inches long; Diagonal crack spans image from bottom left to top right, reaching 10 pixels in width;", + "overview": "BW semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map: center of image", + "size": "The crack is about 1/4 inch wide and 12 inches long.", + "trend_shape": "Diagonal crack spans image from bottom left to top right, reaching 10 pixels in width." + }, + { + "image": "training/annotations/322.png", + "caption": "B/W semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map centered; The crack is about 10 inches long and 1/4 inch wide; Long, winding semantic map with sharp turns; thick crack, thinning towards ends;", + "overview": "B/W semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered.", + "size": "The crack is about 10 inches long and 1/4 inch wide.", + "trend_shape": "Long, winding semantic map with sharp turns; thick crack, thinning towards ends." + }, + { + "image": "training/annotations/324.png", + "caption": "Semantic map of a pavement crack image; Crack500 dataset; Semantic map is centered in image; Crack length: 3 inches; Vertical jagged crack bisects image center;", + "overview": "Semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map is centered in image.", + "size": "Crack length: 3 inches", + "trend_shape": "Vertical jagged crack bisects image center." + }, + { + "image": "training/annotations/326.png", + "caption": "This is a semantic map (groundtrue (GT)) of a pavement crack image; Crack500 dataset; The semantic map is located at the center of the image; The size of the semantic map is 256x256 pixels; The semantic map has a winding trend and a \"V\" shape;", + "overview": "This is a semantic map (groundtrue (GT)) of a pavement crack image.", + "dataset": "Crack500 dataset.", + "location": "The semantic map is located at the center of the image.", + "size": "The size of the semantic map is 256x256 pixels.", + "trend_shape": "The semantic map has a winding trend and a \"V\" shape." + }, + { + "image": "training/annotations/327.png", + "caption": "BW semantic map (GT) of a pavement crack; Crack500 dataset; Map centered in image; The crack is approximately 1.5 inches wide; Curvilinear white line oriented horizontally across image;", + "overview": "BW semantic map (GT) of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "Map centered in image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "Curvilinear white line oriented horizontally across image." + }, + { + "image": "training/annotations/328.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map at image center; Semantic map: 256x256 pixels; White 8-pixel wide curved semantic line from top left to bottom right;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "Semantic map: 256x256 pixels", + "trend_shape": "White 8-pixel wide curved semantic line from top left to bottom right." + }, + { + "image": "training/annotations/329.png", + "caption": "GT semantic map of a Crack500 dataset pavement crack image; Crack500 dataset; Semantic map at image center; Crack: 10 cm long, 1 mm wide; Vertical crack, ~10px wide, curves slightly right, 15px widest at center;", + "overview": "GT semantic map of a Crack500 dataset pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "Crack: 10 cm long, 1 mm wide.", + "trend_shape": "Vertical crack, ~10px wide, curves slightly right, 15px widest at center" + }, + { + "image": "training/annotations/33.png", + "caption": "This is a black and white semantic map (groundtrue (GT)) of a pavement crack image; Crack500 dataset; The semantic map is located at the center of the image; The crack is about 10 cm long and 1 mm wide; The semantic map has a long and winding shape, with a few sharp turns;", + "overview": "This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.", + "dataset": "Crack500 dataset.", + "location": "The semantic map is located at the center of the image.", + "size": "The crack is about 10 cm long and 1 mm wide.", + "trend_shape": "The semantic map has a long and winding shape, with a few sharp turns." + }, + { + "image": "training/annotations/330.png", + "caption": "BW semantic map (GT) of pavement crack; Crack500 dataset; Semantic map at image center; The crack is about 10 cm long and 2 mm wide; The river-shaped map forks in the middle;", + "overview": "BW semantic map (GT) of pavement crack.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "The river-shaped map forks in the middle." + }, + { + "image": "training/annotations/333.png", + "caption": "B/W semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map in image center; The crack is about 10 inches long; Complex semantic map with diagonal trend from bottom left to top right;", + "overview": "B/W semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "The crack is about 10 inches long.", + "trend_shape": "Complex semantic map with diagonal trend from bottom left to top right." + }, + { + "image": "training/annotations/334.png", + "caption": "Crack500 dataset's black-white semantic map of pavement crack image; Crack500 dataset; Semantic map is centered; The crack is about 10 inches long; Cracks in pavement parallel, varying widths;", + "overview": "Crack500 dataset's black-white semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map is centered.", + "size": "The crack is about 10 inches long.", + "trend_shape": "Cracks in pavement parallel, varying widths." + }, + { + "image": "training/annotations/337.png", + "caption": "Semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map is centered in image; The crack is about 10 cm long; Diagonal zigzag crack spans top-left to bottom-right of image;", + "overview": "Semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map is centered in image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Diagonal zigzag crack spans top-left to bottom-right of image." + }, + { + "image": "training/annotations/338.png", + "caption": "GT pavement crack image semantic map; Crack500 dataset; Map at image center; The crack is about 1 inch wide and 10 inches long; Crack from top left splits into two at bottom, left curves left, right curves right;", + "overview": "GT pavement crack image semantic map.", + "dataset": "Crack500 dataset", + "location": "Map at image center.", + "size": "The crack is about 1 inch wide and 10 inches long.", + "trend_shape": "Crack from top left splits into two at bottom, left curves left, right curves right." + }, + { + "image": "training/annotations/339.png", + "caption": "Pavement crack image semantic map (GT); Crack500 dataset; Map centered in image; The crack is about 10 cm long and 1 cm wide; Diagonal crack (10px width) with two smaller branching cracks (5px width);", + "overview": "Pavement crack image semantic map (GT).", + "dataset": "Crack500 dataset", + "location": "Map centered in image.", + "size": "The crack is about 10 cm long and 1 cm wide.", + "trend_shape": "Diagonal crack (10px width) with two smaller branching cracks (5px width)." + }, + { + "image": "training/annotations/34.png", + "caption": "This is a semantic map (groundtrue (GT)) of a pavement crack image; Crack500 dataset; The semantic map is located at the center of the image; The crack is about 10 cm long and 2 mm wide; The semantic map has a complex trend and shape, with multiple branches and intersections;", + "overview": "This is a semantic map (groundtrue (GT)) of a pavement crack image.", + "dataset": "Crack500 dataset.", + "location": "The semantic map is located at the center of the image.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "The semantic map has a complex trend and shape, with multiple branches and intersections." + }, + { + "image": "training/annotations/340.png", + "caption": "Semantic map (GT) of a pavement crack image; Crack500 dataset; Semantic map is centered; The crack is about 10 cm long; Complex semantic map has many small and large vertical, horizontal, and diagonal cracks of varying widths;", + "overview": "Semantic map (GT) of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map is centered.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Complex semantic map has many small and large vertical, horizontal, and diagonal cracks of varying widths." + }, + { + "image": "training/annotations/341.png", + "caption": "B&W GT semantic map of pavement crack; Crack500 dataset; Semantic map at image center; The crack is about 1/4 inch wide and 12 inches long; Thin, curved horizontal line forms semantic map;", + "overview": "B&W GT semantic map of pavement crack.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 1/4 inch wide and 12 inches long.", + "trend_shape": "Thin, curved horizontal line forms semantic map." + }, + { + "image": "training/annotations/342.png", + "caption": "GT semantic map of a pavement crack image; Crack500 dataset; Semantic map centered in image; The crack is about 1.5 inches long; Semantic map has vertical main branch with two secondary branches: one horizontal at top, one diagonal at bottom;", + "overview": "GT semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered in image.", + "size": "The crack is about 1.5 inches long.", + "trend_shape": "Semantic map has vertical main branch with two secondary branches: one horizontal at top, one diagonal at bottom." + }, + { + "image": "training/annotations/343.png", + "caption": "Crack500 dataset GT semantic map: binary image (white=cracks, black=background); Crack500 dataset; Map is centered; The crack is about 10 inches long; Diagonal crack from top left to bottom right, with smaller crack branching from top right to middle;", + "overview": "Crack500 dataset GT semantic map: binary image (white=cracks, black=background).", + "dataset": "Crack500 dataset", + "location": "Map is centered.", + "size": "The crack is about 10 inches long.", + "trend_shape": "Diagonal crack from top left to bottom right, with smaller crack branching from top right to middle." + }, + { + "image": "training/annotations/344.png", + "caption": "BW semantic map (GT) of pavement crack image; Crack500 dataset; Map center of image; The crack is about 1.5 inches wide and 12 inches long; Long, winding semantic map with thick middle and thin ends;", + "overview": "BW semantic map (GT) of pavement crack image", + "dataset": "Crack500 dataset", + "location": "Map center of image.", + "size": "The crack is about 1.5 inches wide and 12 inches long.", + "trend_shape": "Long, winding semantic map with thick middle and thin ends." + }, + { + "image": "training/annotations/346.png", + "caption": "Semantic map (GT) of pavement crack; Crack500 dataset; Map center holds semantics; The crack is approximately 1.5 inches wide and 12 inches long; Elongated, curvilinear semantic map spans image horizontally;", + "overview": "Semantic map (GT) of pavement crack.", + "dataset": "Crack500 dataset", + "location": "Map center holds semantics.", + "size": "The crack is approximately 1.5 inches wide and 12 inches long;", + "trend_shape": "Elongated, curvilinear semantic map spans image horizontally." + }, + { + "image": "training/annotations/348.png", + "caption": "GT semantic map of pavement cracks; Crack500 dataset; Semantic map: image center; Semantic map: 256 x 256 pixels; Triangular semantic map with three diagonal branches; two meet at bottom, one splits left;", + "overview": "GT semantic map of pavement cracks.", + "dataset": "Crack500 dataset", + "location": "Semantic map: image center.", + "size": "Semantic map: 256 x 256 pixels", + "trend_shape": "Triangular semantic map with three diagonal branches; two meet at bottom, one splits left." + }, + { + "image": "training/annotations/349.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Map is in image center; The crack is about 10 cm long and 2 mm wide; Semantic map has two branches, upper straight, lower curved, connected by a curve;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map is in image center.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "Semantic map has two branches, upper straight, lower curved, connected by a curve." + }, + { + "image": "training/annotations/35.png", + "caption": "Semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map is image-centered; The crack is about 10 cm long; Semantic map has two branches: left straight, right with turns;", + "overview": "Semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map is image-centered.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Semantic map has two branches: left straight, right with turns." + }, + { + "image": "training/annotations/350.png", + "caption": "Semantic GT map of a pavement crack image; Crack500 dataset; Semantic map center of image; The crack is about 10 cm long; Tree-like semantic map with three main branches connected at the center, varying lengths (200-100px) and widths (10px);", + "overview": "Semantic GT map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map center of image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Tree-like semantic map with three main branches connected at the center, varying lengths (200-100px) and widths (10px)." + }, + { + "image": "training/annotations/351.png", + "caption": "BW semantic map (GT) of pavement crack with large crack and small branches; Crack500 dataset; Semantic map centers image; 10 cm long, 1 cm wide crack; V-shaped vertical crack;", + "overview": "BW semantic map (GT) of pavement crack with large crack and small branches.", + "dataset": "Crack500 dataset", + "location": "Semantic map centers image.", + "size": "10 cm long, 1 cm wide crack.", + "trend_shape": "V-shaped vertical crack." + }, + { + "image": "training/annotations/353.png", + "caption": "Black and white semantic map (GT) of a Crack500 dataset pavement crack image; Crack500 dataset; Semantic map: image center; 1.5\" wide, 10\" long crack; Single ~400 px long, ~20 px wide crack, oriented 45 degree from horizontal;", + "overview": "Black and white semantic map (GT) of a Crack500 dataset pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map: image center.", + "size": "1.5\" wide, 10\" long crack", + "trend_shape": "Single ~400 px long, ~20 px wide crack, oriented 45 degree from horizontal." + }, + { + "image": "training/annotations/355.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map at image center; Crack: 10\" long, 0.5\" wide; Diagonal white curve from top left to bottom right, with minor irregularities;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "Crack: 10\" long, 0.5\" wide.", + "trend_shape": "Diagonal white curve from top left to bottom right, with minor irregularities." + }, + { + "image": "training/annotations/356.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map is image-centered; Crack: ~1/4\" wide x 12\" long; Diagonal crack from top left to bottom right, ~100 pixels wide;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map is image-centered.", + "size": "Crack: ~1/4\" wide x 12\" long", + "trend_shape": "Diagonal crack from top left to bottom right, ~100 pixels wide." + }, + { + "image": "training/annotations/357.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Map centers image; The crack is about 1.5 inches long; Image shows large, thick, jagged horizontal crack;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map centers image.", + "size": "The crack is about 1.5 inches long.", + "trend_shape": "Image shows large, thick, jagged horizontal crack." + }, + { + "image": "training/annotations/358.png", + "caption": "GT semantic map of pavement crack; Crack500 dataset; Semantic map in image center; The crack is about 10 cm long and 2 mm wide; Four-way pavement crack with vertical main crack and diagonal branches;", + "overview": "GT semantic map of pavement crack.", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "Four-way pavement crack with vertical main crack and diagonal branches." + }, + { + "image": "training/annotations/36.png", + "caption": "GT semantic map of a pavement crack image; Crack500 dataset; Semantic map at image center; Crack: 1.5\" wide, 12\" long; Semantic map has straight upper branch, curved lower branch connected by a curve;", + "overview": "GT semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "Crack: 1.5\" wide, 12\" long.", + "trend_shape": "Semantic map has straight upper branch, curved lower branch connected by a curve." + }, + { + "image": "training/annotations/360.png", + "caption": "GT semantic pavement crack map; Crack500 dataset; Semantic map is center-image; The crack is about 3 inches long; White tree-like structure against black background, main trunk vertical with two branches at top center, left branch slightly up and left, right branch horizontal;", + "overview": "GT semantic pavement crack map.", + "dataset": "Crack500 dataset", + "location": "Semantic map is center-image.", + "size": "The crack is about 3 inches long.", + "trend_shape": "White tree-like structure against black background, main trunk vertical with two branches at top center, left branch slightly up and left, right branch horizontal." + }, + { + "image": "training/annotations/361.png", + "caption": "Crack500 dataset binary map: white pixels = crack, black pixels = no crack; Crack500 dataset; Semantic map at image center; The crack is about 10 cm long; Semantic map depicts parallel, near-vertical cracks;", + "overview": "Crack500 dataset binary map: white pixels = crack, black pixels = no crack.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Semantic map depicts parallel, near-vertical cracks." + }, + { + "image": "training/annotations/362.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map: image center; The crack is about 10 cm long; Pavement exhibits numerous cracks, primarily thin and short with some wide and long, oriented in various directions;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map: image center.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Pavement exhibits numerous cracks, primarily thin and short with some wide and long, oriented in various directions." + }, + { + "image": "training/annotations/363.png", + "caption": "Semantic map of pavement crack image from Crack500 dataset; Crack500 dataset; Semantic map: center of image; The crack is about 10 inches long and 1/4 inch wide; Diagonal crack from bottom left to top right, wider at bottom, with smaller branches;", + "overview": "Semantic map of pavement crack image from Crack500 dataset.", + "dataset": "Crack500 dataset", + "location": "Semantic map: center of image.", + "size": "The crack is about 10 inches long and 1/4 inch wide.", + "trend_shape": "Diagonal crack from bottom left to top right, wider at bottom, with smaller branches." + }, + { + "image": "training/annotations/364.png", + "caption": "BW semantic map (GT) of pavement crack from Crack500 dataset; Crack500 dataset; Map at image center; 10-inch long, 0.25-inch wide crack; Horizontal crack, thick in middle, thinner at ends, slightly curved upwards;", + "overview": "BW semantic map (GT) of pavement crack from Crack500 dataset.", + "dataset": "Crack500 dataset", + "location": "Map at image center.", + "size": "10-inch long, 0.25-inch wide crack", + "trend_shape": "Horizontal crack, thick in middle, thinner at ends, slightly curved upwards." + }, + { + "image": "training/annotations/366.png", + "caption": "BW semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map in image center; The crack is approximately 1.5 inches wide; Thinning, branching semantic map with thick midsection;", + "overview": "BW semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "Thinning, branching semantic map with thick midsection." + }, + { + "image": "training/annotations/368.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map is centered in image; The crack is about 10 cm long; Semantic map displays nearly vertical, parallel cracks with numerous branching cracks;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map is centered in image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Semantic map displays nearly vertical, parallel cracks with numerous branching cracks." + }, + { + "image": "training/annotations/369.png", + "caption": "GT pavement crack image semantic map; Crack500 dataset; Semantic map at image center; The crack is approximately 1.5 inches long; White, 5px curved line from bottom left to top right, with branches;", + "overview": "GT pavement crack image semantic map.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is approximately 1.5 inches long.", + "trend_shape": "White, 5px curved line from bottom left to top right, with branches." + }, + { + "image": "training/annotations/37.png", + "caption": "This is a semantic map (groundtrue (GT)) of a pavement crack image; Crack500 dataset; The semantic map is located in the center of the image; The crack is about 3.5 inches long; The semantic map is a long, thin, vertical line that is slightly curved toward the left;", + "overview": "This is a semantic map (groundtrue (GT)) of a pavement crack image.", + "dataset": "Crack500 dataset.", + "location": "The semantic map is located in the center of the image.", + "size": "The crack is about 3.5 inches long;", + "trend_shape": "The semantic map is a long, thin, vertical line that is slightly curved toward the left." + }, + { + "image": "training/annotations/372.png", + "caption": "Semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map is centered in image; The crack is about 10 cm long; White Y-shaped line (10 px);", + "overview": "Semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map is centered in image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "White Y-shaped line (10 px)" + }, + { + "image": "training/annotations/373.png", + "caption": "GT pavement crack image semantic map; Crack500 dataset; Map centers image; Crack: ~10 cm long, 2 mm wide; Semantic map has two primary branches: straight upper, curved lower, connected by middle branch;", + "overview": "GT pavement crack image semantic map", + "dataset": "Crack500 dataset", + "location": "Map centers image.", + "size": "Crack: ~10 cm long, 2 mm wide", + "trend_shape": "Semantic map has two primary branches: straight upper, curved lower, connected by middle branch." + }, + { + "image": "training/annotations/374.png", + "caption": "BW semantic map (GT) of pavement crack; Crack500 dataset; Map in image center; The crack is about 10 inches long; Horizontal crack diagonally curves from left to right image edge, 15 pixels wide;", + "overview": "BW semantic map (GT) of pavement crack.", + "dataset": "Crack500 dataset", + "location": "Map in image center.", + "size": "The crack is about 10 inches long.", + "trend_shape": "Horizontal crack diagonally curves from left to right image edge, 15 pixels wide." + }, + { + "image": "training/annotations/375.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map at image center; The crack is about 10 cm long; Diagonal crack runs from top left to bottom right, widest in middle, with branches;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Diagonal crack runs from top left to bottom right, widest in middle, with branches." + }, + { + "image": "training/annotations/376.png", + "caption": "Semantic GT map of pavement cracks; Crack500 dataset; Map centered in image; The crack is about 3 inches long; Tree-like semantic map with 3 main branches, varying in length and width;", + "overview": "Semantic GT map of pavement cracks.", + "dataset": "Crack500 dataset", + "location": "Map centered in image.", + "size": "The crack is about 3 inches long.", + "trend_shape": "Tree-like semantic map with 3 main branches, varying in length and width." + }, + { + "image": "training/annotations/377.png", + "caption": "This is a Crack500 dataset semantic map (groundtrue (GT)) of a pavement crack image; Crack500 dataset; The semantic map is located at the center of the image; The crack is 1.5 inches wide; The semantic map has a linear trend and a rectangular shape;", + "overview": "This is a Crack500 dataset semantic map (groundtrue (GT)) of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "The semantic map is located at the center of the image.", + "size": "The crack is 1.5 inches wide.", + "trend_shape": "The semantic map has a linear trend and a rectangular shape." + }, + { + "image": "training/annotations/378.png", + "caption": "GT semantic map of a pavement crack image; Crack500 dataset; Map is centered in image; The crack is about 10 cm long and 2 mm wide; Tree-like semantic map with three branches of varying-sized cracks;", + "overview": "GT semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map is centered in image.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "Tree-like semantic map with three branches of varying-sized cracks." + }, + { + "image": "training/annotations/379.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map centered in image; The crack is about 10 inches long; Diagonal crack, ~10 pixels wide, from top left to bottom right;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered in image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "Diagonal crack, ~10 pixels wide, from top left to bottom right." + }, + { + "image": "training/annotations/38.png", + "caption": "B&W semantic (GT) map of a pavement crack image; Crack500 dataset; Center of image holds semantic map; The crack is about 20 cm long and 1 cm wide; Diagonal crack, 10px wide, top left to bottom right of image;", + "overview": "B&W semantic (GT) map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Center of image holds semantic map.", + "size": "The crack is about 20 cm long and 1 cm wide;", + "trend_shape": "Diagonal crack, 10px wide, top left to bottom right of image." + }, + { + "image": "training/annotations/380.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map is image-centered; Semantic map: 256x256 pixels; Y-shaped semantic map with intersecting cracks;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map is image-centered.", + "size": "Semantic map: 256x256 pixels.", + "trend_shape": "Y-shaped semantic map with intersecting cracks." + }, + { + "image": "training/annotations/381.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map at image center; The crack is about 1.5 inches long; White, curved line (1-3px) from top left to bottom right, with branches;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 1.5 inches long.", + "trend_shape": "White, curved line (1-3px) from top left to bottom right, with branches." + }, + { + "image": "training/annotations/382.png", + "caption": "BW semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map at image center; The crack is approximately 1.5 inches long; Long, diagonally oriented semantic map spans image from top left to bottom right;", + "overview": "BW semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is approximately 1.5 inches long.", + "trend_shape": "Long, diagonally oriented semantic map spans image from top left to bottom right." + }, + { + "image": "training/annotations/383.png", + "caption": "Pavement crack image semantic map (GT); Crack500 dataset; Semantic map at image center; Crack is 1.5 inches wide; Diagonal crack, bottom left to top right, ~10px wide;", + "overview": "Pavement crack image semantic map (GT).", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "Crack is 1.5 inches wide.", + "trend_shape": "Diagonal crack, bottom left to top right, ~10px wide." + }, + { + "image": "training/annotations/384.png", + "caption": "BW semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map center image; Semantic map is about 10 inches long; Diagonal crack, 10 pixels wide, top left to bottom right;", + "overview": "BW semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map center image.", + "size": "Semantic map is about 10 inches long", + "trend_shape": "Diagonal crack, 10 pixels wide, top left to bottom right." + }, + { + "image": "training/annotations/385.png", + "caption": "BW semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map at image center; Crack: ~1.5\" long, ~0.25\" wide; Thick-middled, horizontal crack with thin ends and branches;", + "overview": "BW semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "Crack: ~1.5\" long, ~0.25\" wide", + "trend_shape": "Thick-middled, horizontal crack with thin ends and branches." + }, + { + "image": "training/annotations/386.png", + "caption": "Semantic map (GT) of a pavement crack image; Crack500 dataset; Semantic map at image center; The crack is about 10 inches long; Complex semantic map with multiple branches and intersections; main body has three large curved shapes connected by curved lines, with many smaller curved lines branching off;", + "overview": "Semantic map (GT) of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 10 inches long.", + "trend_shape": "Complex semantic map with multiple branches and intersections; main body has three large curved shapes connected by curved lines, with many smaller curved lines branching off." + }, + { + "image": "training/annotations/388.png", + "caption": "Semantic map (GT) of pavement cracks; Crack500 dataset; Semantic map in image center; The crack is about 10 inches long; Diagonal crack from top left to bottom right, mostly straight with slight bends, surrounded by white pixels;", + "overview": "Semantic map (GT) of pavement cracks.", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "The crack is about 10 inches long.", + "trend_shape": "Diagonal crack from top left to bottom right, mostly straight with slight bends, surrounded by white pixels." + }, + { + "image": "training/annotations/389.png", + "caption": "Crack500 dataset binary (GT) pavement crack map with white (crack) and black (background) pixels; Crack500 dataset; Semantic map is centered; Semantic map: 128x128 pixels; Upward-trending, straight crack;", + "overview": "Crack500 dataset binary (GT) pavement crack map with white (crack) and black (background) pixels.", + "dataset": "Crack500 dataset", + "location": "Semantic map is centered.", + "size": "Semantic map: 128x128 pixels", + "trend_shape": "Upward-trending, straight crack." + }, + { + "image": "training/annotations/39.png", + "caption": "BW semantic map (GT) of pavement cracks; Crack500 dataset; Semantic map corner aligns with image corner; The crack is about 10 inches long; 2 white parallel curved shapes: upper straight, lower bends;", + "overview": "BW semantic map (GT) of pavement cracks.", + "dataset": "Crack500 dataset", + "location": "Semantic map corner aligns with image corner.", + "size": "The crack is about 10 inches long.", + "trend_shape": "2 white parallel curved shapes: upper straight, lower bends." + }, + { + "image": "training/annotations/391.png", + "caption": "Crack500 dataset semantic pavement crack map: binary image (white=cracks, black=background); Crack500 dataset; Map at image center; The crack is about 20 cm long and 1 cm wide; Winding semantic map with multiple branches and intersections;", + "overview": "Crack500 dataset semantic pavement crack map: binary image (white=cracks, black=background).", + "dataset": "Crack500 dataset", + "location": "Map at image center.", + "size": "The crack is about 20 cm long and 1 cm wide.", + "trend_shape": "Winding semantic map with multiple branches and intersections." + }, + { + "image": "training/annotations/392.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; The semantic map is centered in the image; The crack is about 30 cm long and 1 cm wide; Pavement map reveals numerous vertical, horizontal, and diagonal cracks of varying widths and lengths;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "The semantic map is centered in the image.", + "size": "The crack is about 30 cm long and 1 cm wide.", + "trend_shape": "Pavement map reveals numerous vertical, horizontal, and diagonal cracks of varying widths and lengths." + }, + { + "image": "training/annotations/393.png", + "caption": "BW semantic map (GT) of pavement crack image; Crack500 dataset; Map centered in image; The crack is about 10 cm long and 1 cm wide; Complex semantic map with numerous diverse cracks, primarily narrow but some wider, mostly straight but some curved;", + "overview": "BW semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map centered in image.", + "size": "The crack is about 10 cm long and 1 cm wide.", + "trend_shape": "Complex semantic map with numerous diverse cracks, primarily narrow but some wider, mostly straight but some curved." + }, + { + "image": "training/annotations/395.png", + "caption": "BW semantic map (GT) of pavement crack from Crack500 dataset; Crack500 dataset; Center image: semantic map; The crack is about 10 cm long; Diagonal crack from bottom left to top right, 10 pixels wide;", + "overview": "BW semantic map (GT) of pavement crack from Crack500 dataset", + "dataset": "Crack500 dataset", + "location": "Center image: semantic map.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Diagonal crack from bottom left to top right, 10 pixels wide." + }, + { + "image": "training/annotations/396.png", + "caption": "BW semantic map (GT) of pavement crack image; Crack500 dataset; Map centers the image; The crack is about 10 cm long; Long, winding semantic map with thick central crack tapering towards ends;", + "overview": "BW semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map centers the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Long, winding semantic map with thick central crack tapering towards ends." + }, + { + "image": "training/annotations/397.png", + "caption": "GT semantic map of a pavement crack image from Crack500 dataset; Crack500 dataset; Map at image center; The crack is about 1/4 inch wide and 2 feet long; The semantic map has two cracks: horizontal left to right, and vertical top to bottom;", + "overview": "GT semantic map of a pavement crack image from Crack500 dataset.", + "dataset": "Crack500 dataset", + "location": "Map at image center.", + "size": "The crack is about 1/4 inch wide and 2 feet long.", + "trend_shape": "The semantic map has two cracks: horizontal left to right, and vertical top to bottom." + }, + { + "image": "training/annotations/398.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Map at image center; The crack is approximately 1.5 inches wide; 1-3px wide white curve meandering horizontally;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map at image center.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "1-3px wide white curve meandering horizontally." + }, + { + "image": "training/annotations/4.png", + "caption": "Pavement crack image GT semantic map; Crack500 dataset; Semantic map central to image; 10\" long, 0.5\" wide crack; Diagonal crack in top left to bottom right, approximate 10 pixels wide;", + "overview": "Pavement crack image GT semantic map.", + "dataset": "Crack500 dataset", + "location": "Semantic map central to image.", + "size": "10\" long, 0.5\" wide crack.", + "trend_shape": "Diagonal crack in top left to bottom right, approximate 10 pixels wide." + }, + { + "image": "training/annotations/40.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Map centers the image; The crack is about 1.5 inches long; Diagonal crack widens at center, tapers at ends;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map centers the image.", + "size": "The crack is about 1.5 inches long.", + "trend_shape": "Diagonal crack widens at center, tapers at ends." + }, + { + "image": "training/annotations/41.png", + "caption": "B&W image of GT pavement crack map; Crack500 dataset; Map at image center; The crack is about 10 cm long; Long, winding semantic map with thick middle and bottom crack, thin top;", + "overview": "B&W image of GT pavement crack map.", + "dataset": "Crack500 dataset", + "location": "Map at image center.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Long, winding semantic map with thick middle and bottom crack, thin top." + }, + { + "image": "training/annotations/43.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map centered in image; Crack: 1.5\" wide x 12\" long; Pavement crack with thin, rough, 4-way orientation: horizontal, vertical, diagonal;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered in image.", + "size": "Crack: 1.5\" wide x 12\" long", + "trend_shape": "Pavement crack with thin, rough, 4-way orientation: horizontal, vertical, diagonal." + }, + { + "image": "training/annotations/44.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map in image center; The crack is about 10 inches long; Pavement exhibits abundant mostly thin and short cracks, with some wide and long, oriented in all directions;", + "overview": "GT semantic map of pavement crack image", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "The crack is about 10 inches long.", + "trend_shape": "Pavement exhibits abundant mostly thin and short cracks, with some wide and long, oriented in all directions." + }, + { + "image": "training/annotations/45.png", + "caption": "BW semantic map (GT) of pavement crack from Crack500 dataset; Crack500 dataset; Semantic map centered in image; The crack is about 1.5 inches wide; Nearly horizontal thick-middle crack tapers to ends with slight upward curve;", + "overview": "BW semantic map (GT) of pavement crack from Crack500 dataset.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered in image.", + "size": "The crack is about 1.5 inches wide.", + "trend_shape": "Nearly horizontal thick-middle crack tapers to ends with slight upward curve." + }, + { + "image": "training/annotations/47.png", + "caption": "Semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map in image center; The crack is approximately 1.5 inches wide; White, 10-pixel-wide, curved semantic map line with branches;", + "overview": "Semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "White, 10-pixel-wide, curved semantic map line with branches." + }, + { + "image": "training/annotations/48.png", + "caption": "Crack500 dataset GT semantic map of a pavement crack image; Crack500 dataset; Semantic map in image center; Semantic map: 128x128 pixels; 3-pixel wide, curved semantic map line with small branches;", + "overview": "Crack500 dataset GT semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "Semantic map: 128x128 pixels.", + "trend_shape": "3-pixel wide, curved semantic map line with small branches." + }, + { + "image": "training/annotations/49.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map in image center; The crack is about 10 inches long; Large, mostly straight crack from top left to bottom right, with small branches;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "The crack is about 10 inches long.", + "trend_shape": "Large, mostly straight crack from top left to bottom right, with small branches." + }, + { + "image": "training/annotations/5.png", + "caption": "GT semantic map of pavement crack from Crack500 dataset; Crack500 dataset; Semantic map: center of image; 1.5\" wide x 12\" long crack; Thin, curved crack, 10px wide, runs top-left to bottom-right;", + "overview": "GT semantic map of pavement crack from Crack500 dataset.", + "dataset": "Crack500 dataset", + "location": "Semantic map: center of image.", + "size": "1.5\" wide x 12\" long crack.", + "trend_shape": "Thin, curved crack, 10px wide, runs top-left to bottom-right." + }, + { + "image": "training/annotations/50.png", + "caption": "Pavement crack image GT semantic map; Crack500 dataset; Semantic map centers image; The crack is approximately 10 cm long and 1 mm wide; Horizontal, mostly straight line with slight bends;", + "overview": "Pavement crack image GT semantic map.", + "dataset": "Crack500 dataset", + "location": "Semantic map centers image.", + "size": "The crack is approximately 10 cm long and 1 mm wide.", + "trend_shape": "Horizontal, mostly straight line with slight bends." + }, + { + "image": "training/annotations/51.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Map at image center; The crack is approximately 10 inches long and 0.5 inches wide; White, 5-pixel wide curved line starting from top left to bottom right;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map at image center.", + "size": "The crack is approximately 10 inches long and 0.5 inches wide.", + "trend_shape": "White, 5-pixel wide curved line starting from top left to bottom right." + }, + { + "image": "training/annotations/52.png", + "caption": "Semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map: center of image; The crack is about 10 inches long; Large crack from top left, down, then right, up slightly, 10 pixels wide;", + "overview": "Semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map: center of image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "Large crack from top left, down, then right, up slightly, 10 pixels wide." + }, + { + "image": "training/annotations/55.png", + "caption": "GT map of a pavement crack; Crack500 dataset; Semantic map at image center; The crack is about 10 cm long and 1 mm wide; Long, winding semantic map with thin branches and a few thicker areas, trending from top left to bottom right;", + "overview": "GT map of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 10 cm long and 1 mm wide.", + "trend_shape": "Long, winding semantic map with thin branches and a few thicker areas, trending from top left to bottom right." + }, + { + "image": "training/annotations/59.png", + "caption": "GT pavement crack map; Crack500 dataset; Semantic map in image center; The crack is about 30 cm long and 1 cm wide; White, curvilinear semantic map oriented horizontally across image, 384px length, 16px average width;", + "overview": "GT pavement crack map.", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "The crack is about 30 cm long and 1 cm wide.", + "trend_shape": "White, curvilinear semantic map oriented horizontally across image, 384px length, 16px average width." + }, + { + "image": "training/annotations/6.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map is image center; 1.5\" wide, 10\" long crack; White 10-pixel curve maps top left to bottom right, with small branches;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map is image center.", + "size": "1.5\" wide, 10\" long crack", + "trend_shape": "White 10-pixel curve maps top left to bottom right, with small branches." + }, + { + "image": "training/annotations/60.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map at image center; Crack: 10\" long, 1/4\" wide; Complex semantic map with many branches and intersections, horizontal and vertical cracks, some diagonal;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "Crack: 10\" long, 1/4\" wide.", + "trend_shape": "Complex semantic map with many branches and intersections, horizontal and vertical cracks, some diagonal." + }, + { + "image": "training/annotations/61.png", + "caption": "This is a Crack500 dataset semantic map (groundtrue (GT)) of a pavement crack image; Crack500 dataset; Center of the image; The semantic map is a white curve against a black background; The curve is a thin line that is not connected at both ends;", + "overview": "This is a Crack500 dataset semantic map (groundtrue (GT)) of a pavement crack image;", + "dataset": "Crack500 dataset;", + "location": "Center of the image;", + "size": "The semantic map is a white curve against a black background.", + "trend_shape":"The curve is a thin line that is not connected at both ends." + }, + { + "image": "training/annotations/62.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map centered in image; The crack is about 10 cm long; Left-starting large crack turns right; 10px wide;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered in image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Left-starting large crack turns right; 10px wide" + }, + { + "image": "training/annotations/63.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map centered in image; The crack is about 10 cm long; Complex semantic map with varying width cracks (mostly vertical and horizontal);", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered in image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Complex semantic map with varying width cracks (mostly vertical and horizontal)." + }, + { + "image": "training/annotations/64.png", + "caption": "GT semantic map of pavement crack; Crack500 dataset; Map at image center; The crack is approximately 1.5 inches wide.; Curvilinear crack with high curvature runs horizontally across image;", + "overview": "GT semantic map of pavement crack.", + "dataset": "Crack500 dataset", + "location": "Map at image center.", + "size": "The crack is approximately 1.5 inches wide.;", + "trend_shape": "Curvilinear crack with high curvature runs horizontally across image." + }, + { + "image": "training/annotations/65.png", + "caption": "This is a GT pavement crack map; Crack500 dataset; Semantic map at image center; The crack is about 10 cm long and 1 cm wide; Curved white line (width: 10 pixels) serves as semantic map;", + "overview": "This is a GT pavement crack map.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 10 cm long and 1 cm wide.", + "trend_shape": "Curved white line (width: 10 pixels) serves as semantic map." + }, + { + "image": "training/annotations/66.png", + "caption": "GT black and white semantic map of a pavement crack with a single crack; Crack500 dataset; Semantic map is centered in image; Crack: 10 cm x 0.5 cm; 10-pixel wide, near-vertical crack;", + "overview": "GT black and white semantic map of a pavement crack with a single crack.", + "dataset": "Crack500 dataset", + "location": "Semantic map is centered in image.", + "size": "Crack: 10 cm x 0.5 cm", + "trend_shape": "10-pixel wide, near-vertical crack." + }, + { + "image": "training/annotations/67.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Map at image center; The crack is approximately 1.5 inches long; Black-background white curve: closed loop, 10px wide, starts lower left, goes up and right, returns lower right;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map at image center.", + "size": "The crack is approximately 1.5 inches long.", + "trend_shape": "Black-background white curve: closed loop, 10px wide, starts lower left, goes up and right, returns lower right." + }, + { + "image": "training/annotations/68.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map is centered in image; The crack is about 10 cm long; Complex semantic map with vertical, horizontal, and diagonal cracks of varying widths;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map is centered in image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Complex semantic map with vertical, horizontal, and diagonal cracks of varying widths." + }, + { + "image": "training/annotations/69.png", + "caption": "This is a semantic map (groundtrue (GT)) of a pavement crack image; Crack500 dataset; The semantic map is located at the center of the image; The crack is approximately 1.5 inches wide and 10 inches long; The semantic map is a long and thin vertical line, with a few small branches;", + "overview": "This is a semantic map (groundtrue (GT)) of a pavement crack image.", + "dataset": "Crack500 dataset.", + "location": "The semantic map is located at the center of the image.", + "size": "The crack is approximately 1.5 inches wide and 10 inches long.", + "trend_shape": "The semantic map is a long and thin vertical line, with a few small branches." + }, + { + "image": "training/annotations/70.png", + "caption": "GT semantic map of pavement crack (Crack500 dataset); Crack500 dataset; Top-left corner; Two large connected curved cracks plus two smaller unconnected curved cracks; Wide, half-moon crack", + "overview": "GT semantic map of pavement crack (Crack500 dataset).", + "dataset": "Crack500 dataset", + "location": "Top-left corner", + "size": "Two large connected curved cracks plus two smaller unconnected curved cracks.", + "trend_shape":"Wide, half-moon crack" + }, + { + "image": "training/annotations/72.png", + "caption": "Semantic map of pavement crack image; Crack500 dataset; Semantic map: center of image; The crack is about 30 cm long and 1 cm wide; Curved 'U'-shaped crack on semantic map;", + "overview": "Semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map: center of image", + "size": "The crack is about 30 cm long and 1 cm wide.", + "trend_shape": "Curved 'U'-shaped crack on semantic map." + }, + { + "image": "training/annotations/73.png", + "caption": "This is a black and white GT semantic map of a Crack500 dataset pavement crack image; Crack500 dataset; Semantic map is centered in image; Crack: 10 cm long; Semantic map displays two diagonal cracks joined by a horizontal crack;", + "overview": "This is a black and white GT semantic map of a Crack500 dataset pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map is centered in image.", + "size": "Crack: 10 cm long.", + "trend_shape": "Semantic map displays two diagonal cracks joined by a horizontal crack." + }, + { + "image": "training/annotations/75.png", + "caption": "GT semantic map of a pavement crack image; Crack500 dataset; Semantic map is central to image; The crack is approximately 1.5 inches wide; Diagonal crack, 10 pixels wide, top left to bottom right;", + "overview": "GT semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map is central to image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "Diagonal crack, 10 pixels wide, top left to bottom right." + }, + { + "image": "training/annotations/76.png", + "caption": "Semantic map (GT) of pavement crack image; Crack500 dataset; Map center image; Crack: 1.5\" wide, 10\" long; Diagonal crack, top left to bottom right, ~100px wide;", + "overview": "Semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map center image.", + "size": "Crack: 1.5\" wide, 10\" long", + "trend_shape": "Diagonal crack, top left to bottom right, ~100px wide." + }, + { + "image": "training/annotations/77.png", + "caption": "GT semantic map of the Crack500 dataset pavement crack image; Crack500 dataset; Semantic map in image center; The crack is approximately 1.5 inches wide; Horizontal crack with slight bends and variations, straighter in the middle, more bends near both ends, with a larger bend on the right end;", + "overview": "GT semantic map of the Crack500 dataset pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "Horizontal crack with slight bends and variations, straighter in the middle, more bends near both ends, with a larger bend on the right end." + }, + { + "image": "training/annotations/78.png", + "caption": "This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, and the white part is the crack; Crack500 dataset; Center of the image; The crack is a thin and long strip; The crack is slightly curved and runs horizontally across the image;", + "overview": "This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, and the white part is the crack;", + "dataset": "Crack500 dataset;", + "location": "Center of the image;", + "size": "The crack is a thin and long strip;", + "trend_shape":"The crack is slightly curved and runs horizontally across the image." + }, + { + "image": "training/annotations/79.png", + "caption": "Pavement crack GT semantic map; Crack500 dataset; Semantic map: image center; The crack is about 10 cm long and 2 mm wide; Large crack with main branch (200x10 pixels) and smaller branches (50-100x5 pixels) at 45-degree angle;", + "overview": "Pavement crack GT semantic map.", + "dataset": "Crack500 dataset", + "location": "Semantic map: image center.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "Large crack with main branch (200x10 pixels) and smaller branches (50-100x5 pixels) at 45-degree angle." + }, + { + "image": "training/annotations/8.png", + "caption": "BW semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map at image center; The crack is about 20 cm long and 1 cm wide; Semantic map displays large diagonal crack, 10 pixels wide at maximum;", + "overview": "BW semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 20 cm long and 1 cm wide.", + "trend_shape": "Semantic map displays large diagonal crack, 10 pixels wide at maximum." + }, + { + "image": "training/annotations/80.png", + "caption": "Semantic map (GT) of a pavement crack image; Crack500 dataset; Semantic map centered; Semantic map is about 30 cm long and 1 cm wide; White line on black background, thick and curved, from top left to bottom right;", + "overview": "Semantic map (GT) of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered.", + "size": "Semantic map is about 30 cm long and 1 cm wide", + "trend_shape": "White line on black background, thick and curved, from top left to bottom right." + }, + { + "image": "training/annotations/84.png", + "caption": "GT black and white semantic map of pavement crack; Crack500 dataset; Semantic map: center of image; The crack is about 10 inches long and 1/4 inch wide; Long, winding semantic map with thick middle crack thinning towards ends;", + "overview": "GT black and white semantic map of pavement crack.", + "dataset": "Crack500 dataset", + "location": "Semantic map: center of image.", + "size": "The crack is about 10 inches long and 1/4 inch wide.", + "trend_shape": "Long, winding semantic map with thick middle crack thinning towards ends." + }, + { + "image": "training/annotations/86.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Map at image center; The crack is about 10 cm long and 1 mm wide; Image shows a 10-pixel wide crack starting at bottom left, going up-right-down;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map at image center.", + "size": "The crack is about 10 cm long and 1 mm wide.", + "trend_shape": "Image shows a 10-pixel wide crack starting at bottom left, going up-right-down." + }, + { + "image": "training/annotations/88.png", + "caption": "Crack500 dataset binary image map of pavement cracks (white pixels = cracks, black pixels = background); Crack500 dataset; Semantic map at image center; Semantic map: 128x128 pixels; Semantic map depicts a horizontal, slightly curved crack;", + "overview": "Crack500 dataset binary image map of pavement cracks (white pixels = cracks, black pixels = background).", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "Semantic map: 128x128 pixels.", + "trend_shape": "Semantic map depicts a horizontal, slightly curved crack." + }, + { + "image": "training/annotations/89.png", + "caption": "B/W semantic map of a pavement crack (GT); Crack500 dataset; Semantic map at image center; The crack is about 1/4 inch wide and 12 inches long; Long, mostly horizontal semantic map with sharp turns;", + "overview": "B/W semantic map of a pavement crack (GT).", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 1/4 inch wide and 12 inches long.", + "trend_shape": "Long, mostly horizontal semantic map with sharp turns." + }, + { + "image": "training/annotations/9.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Map centered in the image; Crack: ~10\" long, 0.25\" wide; Semantic map shows a ~140 px long, 1-2 px wide, non-straight, \"S\" shaped crack;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map centered in the image.", + "size": "Crack: ~10\" long, 0.25\" wide", + "trend_shape": "Semantic map shows a ~140 px long, 1-2 px wide, non-straight, \"S\" shaped crack." + }, + { + "image": "training/annotations/90.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map in image center; The crack is about 10 cm long and 1 mm wide; Large diagonal crack, widens to 10 pixels, runs northwest to southeast;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "The crack is about 10 cm long and 1 mm wide.", + "trend_shape": "Large diagonal crack, widens to 10 pixels, runs northwest to southeast." + }, + { + "image": "training/annotations/91.png", + "caption": "GT semantic map of pavement crack; Crack500 dataset; Semantic map in image center; The crack is approximately 10 inches long; 5-pixel wide white line traces pavement crack from top left to bottom right;", + "overview": "GT semantic map of pavement crack.", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "The crack is approximately 10 inches long.", + "trend_shape": "5-pixel wide white line traces pavement crack from top left to bottom right." + }, + { + "image": "training/annotations/93.png", + "caption": "Crack500 dataset binary pavement crack image (white: crack, black: no crack); Crack500 dataset; Semantic map in image center; The crack is about 1.5 inches long; Semantic map depicts two meandering, parallel cracks;", + "overview": "Crack500 dataset binary pavement crack image (white: crack, black: no crack).", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "The crack is about 1.5 inches long.", + "trend_shape": "Semantic map depicts two meandering, parallel cracks." + }, + { + "image": "training/annotations/96.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map at image center; The crack is about 3 inches long; Complex semantic map with multiple cracks, main crack from bottom left to top right with smaller branching cracks of varying widths;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 3 inches long.", + "trend_shape": "Complex semantic map with multiple cracks, main crack from bottom left to top right with smaller branching cracks of varying widths." + }, + { + "image": "training/annotations/97.png", + "caption": "B&W semantic map (GT) of pavement crack image; Crack500 dataset; Center; White tree structure on black semantic map; Two main branches curve outward from central top in tree structure.", + "overview": "B&W semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Center", + "size": "White tree structure on black semantic map.", + "trend_shape":"Two main branches curve outward from central top in tree structure." + }, + { + "image": "training/annotations/98.png", + "caption": "Pavement crack map (GT) image; Crack500 dataset; Semantic map image center; Crack: 10\" long, 0.25\" wide; White curve on black background against lower left to upper right with small bumps;", + "overview": "Pavement crack map (GT) image.", + "dataset": "Crack500 dataset", + "location": "Semantic map image center.", + "size": "Crack: 10\" long, 0.25\" wide", + "trend_shape": "White curve on black background against lower left to upper right with small bumps." + }, + { + "image": "training/annotations/99.png", + "caption": "Semantic map (GT) of pavement crack image; Crack500 dataset; Map centered in image; The crack is approximately 1.5 inches wide; Diagonal crack, 10 pixels wide, top left to bottom right;", + "overview": "Semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map centered in image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "Diagonal crack, 10 pixels wide, top left to bottom right." + }, + { + "image": "test/images/102.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, curved line that runs diagonally across the image; The background of the image is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background of the image is a grey asphalt pavement." + }, + { + "image": "test/images/105.jpg", + "caption": "Asphalt road crack close-up; Crack500 dataset; Mid-image crack runs diagonally, top left to bottom right; Crack: 10\" long, 1/4\" wide; Straight crack with slight top curve; Asphalt road with pebbles close-up;", + "overview": "Asphalt road crack close-up.", + "dataset": "Crack500 dataset", + "location": "Mid-image crack runs diagonally, top left to bottom right.", + "size": "Crack: 10\" long, 1/4\" wide", + "trend_shape": "Straight crack with slight top curve.", + "background": "Asphalt road with pebbles close-up." + }, + { + "image": "test/images/111.jpg", + "caption": "This is an image of a crack in asphalt; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long and 1/4 inch wide; The crack is linear and has a slight curve to the right; The background is grey asphalt with small pebbles;", + "overview": "This is an image of a crack in asphalt.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long and 1/4 inch wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background is grey asphalt with small pebbles." + }, + { + "image": "test/images/113.jpg", + "caption": "Asphalt pavement crack closeup; Crack500 dataset; Center crack diagonals top left to bottom right; 1.5-inch wide, 10-inch long crack; Straight crack with minor jagged edges; Asphalt pavement with small pebbles in close-up;", + "overview": "Asphalt pavement crack closeup.", + "dataset": "Crack500 dataset", + "location": "Center crack diagonals top left to bottom right.", + "size": "1.5-inch wide, 10-inch long crack", + "trend_shape": "Straight crack with minor jagged edges.", + "background": "Asphalt pavement with small pebbles in close-up." + }, + { + "image": "test/images/116.jpg", + "caption": "A close-up image of a crack in an asphalt pavement; Crack500 dataset; The crack is located in the center of the image; The crack is approximately 1.5 inches wide and 10 inches long; The crack is linear and has a slight curve to the right; The background of the image is a close-up of an asphalt pavement with small pebbles;", + "overview": "A close-up image of a crack in an asphalt pavement.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the center of the image.", + "size": "The crack is approximately 1.5 inches wide and 10 inches long.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background of the image is a close-up of an asphalt pavement with small pebbles." + }, + { + "image": "test/images/120.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches wide; The crack is linear and has a slight curve to the right; The background is a close-up of asphalt pavement with small pebbles;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1.5 inches wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background is a close-up of asphalt pavement with small pebbles." + }, + { + "image": "test/images/123.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, curved line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "test/images/128.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches wide; The crack is linear and runs diagonally from the top left corner of the image to the bottom right corner; The background of the image is grey asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "The crack is linear and runs diagonally from the top left corner of the image to the bottom right corner.", + "background": "The background of the image is grey asphalt pavement." + }, + { + "image": "test/images/144.jpg", + "caption": "This is an image of a crack in asphalt pavement.; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches wide; The crack is linear and runs horizontally across the image; The background is grey asphalt pavement with small pebbles;", + "overview": "This is an image of a crack in asphalt pavement.;", + "dataset": "Crack500 dataset;", + "location": "The crack is located in the middle of the image;", + "size": "The crack is about 1.5 inches wide;", + "trend_shape": "The crack is linear and runs horizontally across the image;", + "background": "The background is grey asphalt pavement with small pebbles." + }, + { + "image": "test/images/149.jpg", + "caption": "Asphalt pavement crack; Crack500 dataset; Diagnonal crack at center of image; Crack: ~10\" long, ~0.25\" wide; Single, continuous crack with smooth surface, widest at center and tapering at ends; Asphalt pavement closeup with pebbles and grass;", + "overview": "Asphalt pavement crack.", + "dataset": "Crack500 dataset", + "location": "Diagnonal crack at center of image.", + "size": "Crack: ~10\" long, ~0.25\" wide", + "trend_shape": "Single, continuous crack with smooth surface, widest at center and tapering at ends.", + "background": "Asphalt pavement closeup with pebbles and grass." + }, + { + "image": "test/images/154.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long and 1/4 inch wide; The crack is linear and has a slight curve to the right; The background of the image is grey asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long and 1/4 inch wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background of the image is grey asphalt pavement." + }, + { + "image": "test/images/168.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long and 0.25 inches wide; The crack is linear and has a slight curve to the right; The background is grey asphalt pavement with small pebbles;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long and 0.25 inches wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background is grey asphalt pavement with small pebbles." + }, + { + "image": "test/images/17.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches wide; The crack is linear and runs horizontally across the image; The background of the image is asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "The crack is linear and runs horizontally across the image.", + "background": "The background of the image is asphalt pavement." + }, + { + "image": "test/images/180.jpg", + "caption": "This is an image of a crack in an asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 30 cm long and 1 cm wide; The crack is linear and has a slight curve to the right; The background is a close-up of an asphalt pavement with small pebbles;", + "overview": "This is an image of a crack in an asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 30 cm long and 1 cm wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background is a close-up of an asphalt pavement with small pebbles." + }, + { + "image": "test/images/193.jpg", + "caption": "Crack in grey concrete slab closeup; Crack500 dataset; Crack at image center; Crack: 20 cm long, 1 mm wide; Straight crack with slight rightward curve, open throughout; Concrete background with pebbles;", + "overview": "Crack in grey concrete slab closeup.", + "dataset": "Crack500 dataset", + "location": "Crack at image center.", + "size": "Crack: 20 cm long, 1 mm wide", + "trend_shape": "Straight crack with slight rightward curve, open throughout.", + "background": "Concrete background with pebbles." + }, + { + "image": "test/images/197.jpg", + "caption": "Asphalt road crack closeup; Crack500 dataset; Horizontal crack midpoint; Crack: 10\" long, 1/4\" wide; Relatively straight crack with minor jagged edges; Close-up of asphalt surface with pebbles and cracks;", + "overview": "Asphalt road crack closeup.", + "dataset": "Crack500 dataset", + "location": "Horizontal crack midpoint.", + "size": "Crack: 10\" long, 1/4\" wide.", + "trend_shape": "Relatively straight crack with minor jagged edges.", + "background": "Close-up of asphalt surface with pebbles and cracks." + }, + { + "image": "test/images/204.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 1 cm wide; The crack is a straight line with a slight curve at the end; The background of the image is asphalt;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 1 cm wide.", + "trend_shape": "The crack is a straight line with a slight curve at the end.", + "background": "The background of the image is asphalt." + }, + { + "image": "test/images/21.jpg", + "caption": "Asphalt road crack image; Crack500 dataset; Crack at image center; Crack: 10 cm long, 1 cm wide; Horizontal, meandering crack crosses image; Asphalt road surface closeup;", + "overview": "Asphalt road crack image.", + "dataset": "Crack500 dataset", + "location": "Crack at image center.", + "size": "Crack: 10 cm long, 1 cm wide", + "trend_shape": "Horizontal, meandering crack crosses image.", + "background": "Asphalt road surface closeup." + }, + { + "image": "test/images/239.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, curved line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "test/images/242.jpg", + "caption": "This is an image of a crack in asphalt pavement.; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches wide; The crack is linear and runs horizontally across the image; The background is a close-up of asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.;", + "dataset": "Crack500 dataset;", + "location": "The crack is located in the middle of the image;", + "size": "The crack is about 1.5 inches wide;", + "trend_shape": "The crack is linear and runs horizontally across the image;", + "background": "The background is a close-up of asphalt pavement." + }, + { + "image": "test/images/249.jpg", + "caption": "This is an image of a crack in an asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long and 1/4 inch wide; The crack is linear and has a slight curve to the right; The background is a close-up of an asphalt pavement with small pebbles;", + "overview": "This is an image of a crack in an asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long and 1/4 inch wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background is a close-up of an asphalt pavement with small pebbles." + }, + { + "image": "test/images/260.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches long; The crack is a thin, vertical line that is slightly curved; The background is a grey, pebbled asphalt road surface;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1.5 inches long.", + "trend_shape": "The crack is a thin, vertical line that is slightly curved.", + "background": "The background is a grey, pebbled asphalt road surface." + }, + { + "image": "test/images/261.jpg", + "caption": "This is an image of a crack on an asphalt road surface; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches wide; The crack is a thin, nearly straight line that runs horizontally across the image; The background is a close-up of an asphalt road surface;", + "overview": "This is an image of a crack on an asphalt road surface.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1.5 inches wide.", + "trend_shape": "The crack is a thin, nearly straight line that runs horizontally across the image.", + "background": "The background is a close-up of an asphalt road surface." + }, + { + "image": "test/images/264.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches wide; The crack is a single, continuous crack that runs horizontally across the image. The crack has a slight curve to the right; The background of the image is asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "The crack is a single, continuous crack that runs horizontally across the image. The crack has a slight curve to the right.", + "background": "The background of the image is asphalt pavement." + }, + { + "image": "test/images/284.jpg", + "caption": "This is an image of a crack in asphalt; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1/4 inch wide and 12 inches long; The crack is linear and runs horizontally across the image; The background is a close-up of a grey asphalt road;", + "overview": "This is an image of a crack in asphalt;", + "dataset": "Crack500 dataset;", + "location": "The crack is located in the middle of the image;", + "size": "The crack is about 1/4 inch wide and 12 inches long;", + "trend_shape": "The crack is linear and runs horizontally across the image;", + "background": "The background is a close-up of a grey asphalt road." + }, + { + "image": "test/images/292.jpg", + "caption": "This is an image of a crack on an asphalt pavement surface; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches long; The crack is a thin, linear feature with a slightly meandering trend; The background of the image is a close-up of an asphalt pavement surface;", + "overview": "This is an image of a crack on an asphalt pavement surface.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches long.", + "trend_shape": "The crack is a thin, linear feature with a slightly meandering trend.", + "background": "The background of the image is a close-up of an asphalt pavement surface." + }, + { + "image": "test/images/298.jpg", + "caption": "Image of an asphalt crack; Crack500 dataset; Diagonal crack bisects image; 1/4\" wide times 12\" long crack; Linear crack, slight rightward curve; Asphalt pavement closeup with pebbles and rocks;", + "overview": "Image of an asphalt crack.", + "dataset": "Crack500 dataset", + "location": "Diagonal crack bisects image.", + "size": "1/4\" wide times 12\" long crack", + "trend_shape": "Linear crack, slight rightward curve.", + "background": "Asphalt pavement closeup with pebbles and rocks." + }, + { + "image": "test/images/300.jpg", + "caption": "Asphalt crack closeup; Crack500 dataset; Crack at image center; 1/4\" crack, 2\" long; Diagonal linear crack from top left to bottom right; Asphalt closeup;", + "overview": "Asphalt crack closeup", + "dataset": "Crack500 dataset", + "location": "Crack at image center.", + "size": "1/4\" crack, 2\" long.", + "trend_shape": "Diagonal linear crack from top left to bottom right.", + "background": "Asphalt closeup" + }, + { + "image": "test/images/307.jpg", + "caption": "Asphalt crack close-up; Crack500 dataset; Diagonal crack bisects image; Crack: 1/4\" wide, 12\" long; Jagged, linear crack; Grey asphalt ground with small pebbles;", + "overview": "Asphalt crack close-up.", + "dataset": "Crack500 dataset", + "location": "Diagonal crack bisects image.", + "size": "Crack: 1/4\" wide, 12\" long", + "trend_shape": "Jagged, linear crack.", + "background": "Grey asphalt ground with small pebbles." + }, + { + "image": "test/images/315.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches wide; The crack is linear and runs diagonally across the image; The background of the image is gray asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1.5 inches wide.", + "trend_shape": "The crack is linear and runs diagonally across the image.", + "background": "The background of the image is gray asphalt pavement." + }, + { + "image": "test/images/319.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches wide and 8 inches long; The crack is jagged and has a Y shape; The background is grey asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement;", + "dataset": "Crack500 dataset;", + "location": "The crack is located in the middle of the image;", + "size": "The crack is about 1.5 inches wide and 8 inches long;", + "trend_shape": "The crack is jagged and has a Y shape;", + "background": "The background is grey asphalt pavement." + }, + { + "image": "test/images/325.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches long; The crack is a thin, straight line that runs horizontally across the image; The background is a close-up of a grey asphalt pavement with small pebbles;", + "overview": "This is an image of a crack in asphalt pavement;", + "dataset": "Crack500 dataset;", + "location": "The crack is located in the middle of the image;", + "size": "The crack is approximately 1.5 inches long;", + "trend_shape": "The crack is a thin, straight line that runs horizontally across the image;", + "background": "The background is a close-up of a grey asphalt pavement with small pebbles." + }, + { + "image": "test/images/331.jpg", + "caption": "A close-up image of a single crack on an asphalt road surface; Crack500 dataset; The crack is located in the center of the image; The crack is approximately 30 cm long and 1 cm wide; The crack is linear and has a slight curve to the right; The background of the image is a close-up of an asphalt road surface;", + "overview": "A close-up image of a single crack on an asphalt road surface.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the center of the image.", + "size": "The crack is approximately 30 cm long and 1 cm wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "test/images/332.jpg", + "caption": "This is an image of a crack in an asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches wide; The crack is linear and runs horizontally across the image; The background is a close-up of an asphalt pavement with small pebbles;", + "overview": "This is an image of a crack in an asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "The crack is linear and runs horizontally across the image.", + "background": "The background is a close-up of an asphalt pavement with small pebbles." + }, + { + "image": "test/images/335.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches wide; The crack is linear and has a slight curve to the right; The background is a close-up of asphalt pavement with small pebbles;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1.5 inches wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background is a close-up of asphalt pavement with small pebbles." + }, + { + "image": "test/images/336.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 2 mm wide; The crack is a straight line with a slight curve to the right. The crack is a surface crack; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "The crack is a straight line with a slight curve to the right. The crack is a surface crack.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "test/images/345.jpg", + "caption": "This is an image of a crack in asphalt pavement.; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches wide; The crack is linear and runs horizontally across the image; The background is a close-up of asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.;", + "dataset": "Crack500 dataset;", + "location": "The crack is located in the middle of the image;", + "size": "The crack is approximately 1.5 inches wide;", + "trend_shape": "The crack is linear and runs horizontally across the image;", + "background": "The background is a close-up of asphalt pavement." + }, + { + "image": "test/images/352.jpg", + "caption": "This is an image of a concrete pavement with multiple alligator cracks.; Crack500 dataset; The cracks are located at the center of the image.; The cracks are about 1.5 inches wide.; The cracks are interconnected and have a random pattern.; The background of the image is grey concrete;", + "overview": "This is an image of a concrete pavement with multiple alligator cracks.;", + "dataset": "Crack500 dataset;", + "location": "The cracks are located at the center of the image.;", + "size": "The cracks are about 1.5 inches wide.;", + "trend_shape": "The cracks are interconnected and have a random pattern.;", + "background": "The background of the image is grey concrete." + }, + { + "image": "test/images/354.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long; The crack is a thin, curved line that runs diagonally across the image; The background of the image is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background of the image is a grey asphalt pavement." + }, + { + "image": "test/images/365.jpg", + "caption": "Asphalt pavement crack closeup; Crack500 dataset; Image's center has a crack; 10\"L x 0.25\"W crack; Linear crack vertically bisects image; Asphalt pavement background in focus, with visible pebbles;", + "overview": "Asphalt pavement crack closeup.", + "dataset": "Crack500 dataset", + "location": "Image's center has a crack.", + "size": "10\"L x 0.25\"W crack", + "trend_shape": "Linear crack vertically bisects image.", + "background": "Asphalt pavement background in focus, with visible pebbles." + }, + { + "image": "test/images/367.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 2 mm wide; The crack is linear and has a zigzag shape; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "The crack is linear and has a zigzag shape.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "test/images/370.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long; The crack is a thin, winding and twisting, with a slight zigzag pattern; The background of the image is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "The crack is a thin, winding and twisting, with a slight zigzag pattern.", + "background": "The background of the image is a grey asphalt pavement." + }, + { + "image": "test/images/390.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long; The crack is a thin, curved line that runs vertically down the image; The background is a grey asphalt road;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The crack is a thin, curved line that runs vertically down the image.", + "background": "The background is a grey asphalt road." + }, + { + "image": "test/images/394.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1/4 inch wide and 12 inches long; The crack is linear and runs horizontally across the image; The background of the image is grey asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1/4 inch wide and 12 inches long.", + "trend_shape": "The crack is linear and runs horizontally across the image.", + "background": "The background of the image is grey asphalt pavement." + }, + { + "image": "test/images/54.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 inches long and 1 inch wide; The crack is linear and has a slight curve to the right; The background of the image is gray asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 inches long and 1 inch wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background of the image is gray asphalt pavement." + }, + { + "image": "test/images/56.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches long and 0.25 inches wide; The crack is linear and has a slight curve to the right; The background of the image is gray asphalt pavement;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1.5 inches long and 0.25 inches wide.", + "trend_shape": "The crack is linear and has a slight curve to the right.", + "background": "The background of the image is gray asphalt pavement." + }, + { + "image": "test/images/82.jpg", + "caption": "Concrete surface with diagonal crack, top left to bottom right; Crack500 dataset; Diagonal crack from top left to bottom right; Crack: 1.5\" wide, 10\" long; Crack straight, some jagged edges; Grey concrete background with embedded pebbles;", + "overview": "Concrete surface with diagonal crack, top left to bottom right.", + "dataset": "Crack500 dataset", + "location": "Diagonal crack from top left to bottom right.", + "size": "Crack: 1.5\" wide, 10\" long", + "trend_shape": "Crack straight, some jagged edges.", + "background": "Grey concrete background with embedded pebbles." + }, + { + "image": "test/images/83.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 10 cm long and 1 mm wide; The crack is a thin, curved line that runs horizontally across the image; The background is a grey, pebbled asphalt road surface;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 10 cm long and 1 mm wide.", + "trend_shape": "The crack is a thin, curved line that runs horizontally across the image.", + "background": "The background is a grey, pebbled asphalt road surface." + }, + { + "image": "test/images/92.jpg", + "caption": "This is an image of a crack in asphalt pavement; Crack500 dataset; The crack is located in the middle of the image; The crack is approximately 1.5 inches long; The crack is a thin, winding and twisting, with a slight curve to the right; The background is a grey asphalt pavement with small pebbles;", + "overview": "This is an image of a crack in asphalt pavement.", + "dataset": "Crack500 dataset", + "location": "The crack is located in the middle of the image.", + "size": "The crack is approximately 1.5 inches long.", + "trend_shape": "The crack is a thin, winding and twisting, with a slight curve to the right.", + "background": "The background is a grey asphalt pavement with small pebbles." + }, + { + "image": "test/images/95.jpg", + "caption": "This is an image of a pavement crack; Crack500 dataset; The crack is located in the middle of the image; The crack is about 1.5 inches long; The crack is a thin, curved line that runs diagonally across the image; The background is a grey asphalt pavement;", + "overview": "This is an image of a pavement crack.", + "dataset": "Crack500 dataset.", + "location": "The crack is located in the middle of the image.", + "size": "The crack is about 1.5 inches long.", + "trend_shape": "The crack is a thin, curved line that runs diagonally across the image.", + "background": "The background is a grey asphalt pavement." + }, + { + "image": "test/annotations/102.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Map centers the image; The crack is about 10 cm long; Pavement has many thin/short cracks and some wide/long cracks oriented in all directions;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map centers the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Pavement has many thin/short cracks and some wide/long cracks oriented in all directions." + }, + { + "image": "test/annotations/105.png", + "caption": "Black-and-white GT semantic map of Crack500 dataset pavement crack image; Crack500 dataset; Semantic map centered in image; Crack: 10\" long, 1/4\" wide; Diagonal crack from top left to bottom right, 10-2 pixels wide, rough texture;", + "overview": "Black-and-white GT semantic map of Crack500 dataset pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered in image.", + "size": "Crack: 10\" long, 1/4\" wide", + "trend_shape": "Diagonal crack from top left to bottom right, 10-2 pixels wide, rough texture." + }, + { + "image": "test/annotations/111.png", + "caption": "Black and white semantic map (GT) of a pavement crack from Crack500 dataset; Crack500 dataset; Map at image center; The crack is about 10 inches long and 1/4 inch wide; Long, winding, 10-pixel wide crack diagonally traverses image from top left to bottom right;", + "overview": "Black and white semantic map (GT) of a pavement crack from Crack500 dataset.", + "dataset": "Crack500 dataset", + "location": "Map at image center.", + "size": "The crack is about 10 inches long and 1/4 inch wide.", + "trend_shape": "Long, winding, 10-pixel wide crack diagonally traverses image from top left to bottom right." + }, + { + "image": "test/annotations/113.png", + "caption": "GT semantic map of a pavement crack image; Crack500 dataset; Semantic map: center of image; 1.5-inch wide, 10-inch long crack; Vertical crack forks into two horizontal cracks; left longer than right;", + "overview": "GT semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map: center of image.", + "size": "1.5-inch wide, 10-inch long crack", + "trend_shape": "Vertical crack forks into two horizontal cracks; left longer than right." + }, + { + "image": "test/annotations/116.png", + "caption": "This is a semantic map (groundtrue (GT)) of a pavement crack image; Crack500 dataset; The semantic map is located in the center of the image; The crack is approximately 1.5 inches wide and 10 inches long; The semantic map shows a long and thin crack that is oriented vertically;", + "overview": "This is a semantic map (groundtrue (GT)) of a pavement crack image.", + "dataset": "Crack500 dataset.", + "location": "The semantic map is located in the center of the image.", + "size": "The crack is approximately 1.5 inches wide and 10 inches long.", + "trend_shape": "The semantic map shows a long and thin crack that is oriented vertically." + }, + { + "image": "test/annotations/120.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Image center contains semantic map; The crack is about 1.5 inches wide; White curve on black background forms a closed loop with sharp turns and a smooth shape;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Image center contains semantic map.", + "size": "The crack is about 1.5 inches wide.", + "trend_shape": "White curve on black background forms a closed loop with sharp turns and a smooth shape." + }, + { + "image": "test/annotations/123.png", + "caption": "This is a semantic map (groundtrue (GT)) of a pavement crack image; Crack500 dataset; The semantic map is located at the center of the image; The crack is about 10 cm long; The semantic map shows a large crack that is oriented vertically and has a jagged shape;", + "overview": "This is a semantic map (groundtrue (GT)) of a pavement crack image.", + "dataset": "Crack500 dataset.", + "location": "The semantic map is located at the center of the image.", + "size": "The crack is about 10 cm long.", + "trend_shape": "The semantic map shows a large crack that is oriented vertically and has a jagged shape." + }, + { + "image": "test/annotations/128.png", + "caption": "Semantic GT map of pavement crack image; Crack500 dataset; Semantic map at image center; The crack is approximately 1.5 inches wide; Long winding diagonal crack runs top left to bottom right of image, with minor bends;", + "overview": "Semantic GT map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "Long winding diagonal crack runs top left to bottom right of image, with minor bends." + }, + { + "image": "test/annotations/144.png", + "caption": "BW semantic map (GT) of pavement crack; Crack500 dataset; Map centers the image; The crack is about 1.5 inches wide; Diagonal crack, 10px wide, bottom left to top right;", + "overview": "BW semantic map (GT) of pavement crack.", + "dataset": "Crack500 dataset", + "location": "Map centers the image.", + "size": "The crack is about 1.5 inches wide;", + "trend_shape": "Diagonal crack, 10px wide, bottom left to top right." + }, + { + "image": "test/annotations/149.png", + "caption": "BW semantic map of pavement crack (GT); Crack500 dataset; Semantic map at image center; Crack: ~10\" long, ~0.25\" wide; A large, diagonally-running crack (10-pixel width) is visible from top right to bottom left of the semantic map image;", + "overview": "BW semantic map of pavement crack (GT).", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "Crack: ~10\" long, ~0.25\" wide", + "trend_shape": "A large, diagonally-running crack (10-pixel width) is visible from top right to bottom left of the semantic map image." + }, + { + "image": "test/annotations/154.png", + "caption": "GT semantic map of a pavement crack image; Crack500 dataset; Semantic map located in image center; The crack is about 10 inches long and 1/4 inch wide; Long, winding semantic map with multiple branches; trends from top left to bottom right;", + "overview": "GT semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map located in image center.", + "size": "The crack is about 10 inches long and 1/4 inch wide.", + "trend_shape": "Long, winding semantic map with multiple branches; trends from top left to bottom right." + }, + { + "image": "test/annotations/168.png", + "caption": "BW semantic map (GT) of pavement crack image; Crack500 dataset; Map in image center; The crack is about 10 inches long and 0.25 inches wide; Single large diagonal crack, approximately 10 pixels wide, runs bottom left to top right with a smooth yet irregular shape;", + "overview": "BW semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map in image center.", + "size": "The crack is about 10 inches long and 0.25 inches wide.", + "trend_shape": "Single large diagonal crack, approximately 10 pixels wide, runs bottom left to top right with a smooth yet irregular shape." + }, + { + "image": "test/annotations/17.png", + "caption": "Semantic map (GT) of a pavement crack image; Crack500 dataset; Semantic map central to image; The crack is approximately 1.5 inches wide; Curved white line with branches;", + "overview": "Semantic map (GT) of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map central to image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "Curved white line with branches." + }, + { + "image": "test/annotations/180.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map is center of image; The crack is about 30 cm long and 1 cm wide; Vertical, center crack in image, widest at top, narrows downward with two small offshoots;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map is center of image.", + "size": "The crack is about 30 cm long and 1 cm wide.", + "trend_shape": "Vertical, center crack in image, widest at top, narrows downward with two small offshoots." + }, + { + "image": "test/annotations/193.png", + "caption": "Semantic GT map of pavement crack image; Crack500 dataset; Semantic map centered in image; Crack: 20 cm long, 1 mm wide; White, vertical, curved line on a black background;", + "overview": "Semantic GT map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered in image.", + "size": "Crack: 20 cm long, 1 mm wide", + "trend_shape": "White, vertical, curved line on a black background." + }, + { + "image": "test/annotations/197.png", + "caption": "Crack500 dataset semantic map of a pavement crack image, with white indicating crack and black indicating background; Crack500 dataset; Image center contains semantic map; Crack: 10\" long, 1/4\" wide; Long, winding semantic map with multiple branches and intersections;", + "overview": "Crack500 dataset semantic map of a pavement crack image, with white indicating crack and black indicating background.", + "dataset": "Crack500 dataset", + "location": "Image center contains semantic map.", + "size": "Crack: 10\" long, 1/4\" wide.", + "trend_shape": "Long, winding semantic map with multiple branches and intersections." + }, + { + "image": "test/annotations/204.png", + "caption": "Semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map at image center; The crack is about 10 cm long and 1 cm wide; Semantic map has three cracks: horizontal across center, vertical down left side, diagonal top right to bottom left;", + "overview": "Semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 10 cm long and 1 cm wide.", + "trend_shape": "Semantic map has three cracks: horizontal across center, vertical down left side, diagonal top right to bottom left." + }, + { + "image": "test/annotations/21.png", + "caption": "Pavement crack image semantic map (GT); Crack500 dataset; Semantic map center image; Crack: 10 cm long, 1 cm wide; Zigzagging white line with declining then rising mean trend;", + "overview": "Pavement crack image semantic map (GT).", + "dataset": "Crack500 dataset", + "location": "Semantic map center image.", + "size": "Crack: 10 cm long, 1 cm wide", + "trend_shape": "Zigzagging white line with declining then rising mean trend." + }, + { + "image": "test/annotations/239.png", + "caption": "GT semantic map of a pavement crack image; Crack500 dataset; Semantic map at image center; The crack is about 10 cm long; Complex semantic map with varying crack widths and orientations (vertical, horizontal, diagonal);", + "overview": "GT semantic map of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 10 cm long.", + "trend_shape": "Complex semantic map with varying crack widths and orientations (vertical, horizontal, diagonal)." + }, + { + "image": "test/annotations/242.png", + "caption": "B&W semantic map of a pavement crack image, white indicates the crack location; Crack500 dataset; Semantic map centered in image; The crack is about 1.5 inches wide; Diagonal crack runs from top left to bottom right of image;", + "overview": "B&W semantic map of a pavement crack image, white indicates the crack location.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered in image.", + "size": "The crack is about 1.5 inches wide;", + "trend_shape": "Diagonal crack runs from top left to bottom right of image." + }, + { + "image": "test/annotations/249.png", + "caption": "BW semantic (GT) pavement crack image map; Crack500 dataset; Semantic map centered; The crack is about 10 inches long and 1/4 inch wide; Horizontal, twisting crack varies in width;", + "overview": "BW semantic (GT) pavement crack image map.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered.", + "size": "The crack is about 10 inches long and 1/4 inch wide.", + "trend_shape": "Horizontal, twisting crack varies in width." + }, + { + "image": "test/annotations/260.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map at image center; The crack is about 1.5 inches long; Semantic map has two branches: longer, straighter upper one goes up then right; shorter lower one goes down then left;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 1.5 inches long.", + "trend_shape": "Semantic map has two branches: longer, straighter upper one goes up then right; shorter lower one goes down then left." + }, + { + "image": "test/annotations/261.png", + "caption": "Semantic map (GT) of a pavement crack; Crack500 dataset; Semantic map is central to image; The crack is about 1.5 inches wide; White, 3px curved line traversing image left to right with branches;", + "overview": "Semantic map (GT) of a pavement crack.", + "dataset": "Crack500 dataset", + "location": "Semantic map is central to image.", + "size": "The crack is about 1.5 inches wide.", + "trend_shape": "White, 3px curved line traversing image left to right with branches." + }, + { + "image": "test/annotations/264.png", + "caption": "This is a semantic map (groundtrue (GT)) of a pavement crack image; Crack500 dataset; The semantic map is located at the center of the image; The crack is approximately 1.5 inches wide; The semantic map shows a nearly horizontal crack that is fairly uniform in width;", + "overview": "This is a semantic map (groundtrue (GT)) of a pavement crack image.", + "dataset": "Crack500 dataset.", + "location": "The semantic map is located at the center of the image.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "The semantic map shows a nearly horizontal crack that is fairly uniform in width." + }, + { + "image": "test/annotations/284.png", + "caption": "Grayscale image of pavement crack semantic map (GT); Crack500 dataset; Semantic map is center-image; The crack is about 1/4 inch wide and 12 inches long; Long, winding semantic map with numerous branches and cracks. Main crack runs horizontally, branching out in various directions;", + "overview": "Grayscale image of pavement crack semantic map (GT).", + "dataset": "Crack500 dataset", + "location": "Semantic map is center-image.", + "size": "The crack is about 1/4 inch wide and 12 inches long;", + "trend_shape": "Long, winding semantic map with numerous branches and cracks. Main crack runs horizontally, branching out in various directions." + }, + { + "image": "test/annotations/292.png", + "caption": "Pavement crack image semantic map (GT); Crack500 dataset; Semantic map in image center; The crack is approximately 1.5 inches long; Diagonal crack (10 px wide) from top left to bottom right of image;", + "overview": "Pavement crack image semantic map (GT).", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "The crack is approximately 1.5 inches long.", + "trend_shape": "Diagonal crack (10 px wide) from top left to bottom right of image." + }, + { + "image": "test/annotations/298.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Map centered; 1/4\" wide times 12\" long crack; Diagonal crack from top left to bottom right of image, mostly straight with minor bends;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map centered.", + "size": "1/4\" wide times 12\" long crack", + "trend_shape": "Diagonal crack from top left to bottom right of image, mostly straight with minor bends." + }, + { + "image": "test/annotations/300.png", + "caption": "Semantic GT map of pavement crack image; Crack500 dataset; Semantic map is in the image center; 1/4\" crack, 2\" long; Tree-like semantic map with two branches, connected top and bottom by curved lines;", + "overview": "Semantic GT map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map is in the image center.", + "size": "1/4\" crack, 2\" long.", + "trend_shape": "Tree-like semantic map with two branches, connected top and bottom by curved lines." + }, + { + "image": "test/annotations/307.png", + "caption": "Semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map at image center; Crack: 1/4\" wide, 12\" long; 1-3 pixel wide white curved line branches diagonally top-left to bottom-right;", + "overview": "Semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "Crack: 1/4\" wide, 12\" long", + "trend_shape": "1-3 pixel wide white curved line branches diagonally top-left to bottom-right." + }, + { + "image": "test/annotations/315.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map in image center; The crack is about 1.5 inches wide; Diagonal crack, starting from top-left to top-right, ~10px wide;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "The crack is about 1.5 inches wide.", + "trend_shape": "Diagonal crack, starting from top-left to top-right, ~10px wide." + }, + { + "image": "test/annotations/319.png", + "caption": "BW semantic map (GT) of a pavement crack image; Crack500 dataset; Center map semantic; The crack is about 1.5 inches wide and 8 inches long; Large crack starts from bottom left, curves to right, 10px wide;", + "overview": "BW semantic map (GT) of a pavement crack image", + "dataset": "Crack500 dataset", + "location": "Center map semantic.", + "size": "The crack is about 1.5 inches wide and 8 inches long;", + "trend_shape": "Large crack starts from bottom left, curves to right, 10px wide." + }, + { + "image": "test/annotations/325.png", + "caption": "Semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map is centered; The crack is approximately 1.5 inches long; Diagonal crack from top-left to bottom-right, 10 pixels wide;", + "overview": "Semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map is centered.", + "size": "The crack is approximately 1.5 inches long;", + "trend_shape": "Diagonal crack from top-left to bottom-right, 10 pixels wide." + }, + { + "image": "test/annotations/331.png", + "caption": "Black-white semantic (GT) map of pavement crack from Crack500 dataset; Crack500 dataset; Semantic map at image center; The crack is approximately 30 cm long and 1 cm wide; Semantic map depicts single, slightly bent crack with width variations;", + "overview": "Black-white semantic (GT) map of pavement crack from Crack500 dataset.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is approximately 30 cm long and 1 cm wide.", + "trend_shape": "Semantic map depicts single, slightly bent crack with width variations." + }, + { + "image": "test/annotations/332.png", + "caption": "BW semantic GT pavement crack map; Crack500 dataset; Semantic map at image center; The crack is approximately 1.5 inches wide; Semantic map displays two parallel cracks, slightly bent, running horizontally, each several pixels wide;", + "overview": "BW semantic GT pavement crack map", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is approximately 1.5 inches wide.", + "trend_shape": "Semantic map displays two parallel cracks, slightly bent, running horizontally, each several pixels wide." + }, + { + "image": "test/annotations/335.png", + "caption": "GT pavement fracture semantic map; Crack500 dataset; Semantic map at image center; The crack is about 1.5 inches wide; Diagonal crack, trending top left to bottom right, 10 pixels wide;", + "overview": "GT pavement fracture semantic map.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "The crack is about 1.5 inches wide.", + "trend_shape": "Diagonal crack, trending top left to bottom right, 10 pixels wide." + }, + { + "image": "test/annotations/336.png", + "caption": "This is a black and white semantic map of two parallel cracks on asphalt pavement; Crack500 dataset; Center of the image; Two parallel and near-vertical linear features with an average width of 4 pixels; Straight crack with slight rightward curve.", + "overview": "This is a black and white semantic map of two parallel cracks on asphalt pavement;", + "dataset": "Crack500 dataset;", + "location": "Center of the image;", + "size": "Two parallel and near-vertical linear features with an average width of 4 pixels.", + "trend_shape":"Straight crack with slight rightward curve." + }, + { + "image": "test/annotations/345.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Semantic map is center of image; The crack is approximately 1.5 inches wide; Horizontal crack, thickest midsection, tapering ends, slightly curved upward;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map is center of image.", + "size": "The crack is approximately 1.5 inches wide;", + "trend_shape": "Horizontal crack, thickest midsection, tapering ends, slightly curved upward." + }, + { + "image": "test/annotations/352.png", + "caption": "GT semantic map of pavement crack image; Crack500 dataset; Map in center of image; The cracks are about 1.5 inches wide.; Semantic map exhibits complex patterns, cracks vary in size, direction, and width;", + "overview": "GT semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map in center of image.", + "size": "The cracks are about 1.5 inches wide.;", + "trend_shape": "Semantic map exhibits complex patterns, cracks vary in size, direction, and width." + }, + { + "image": "test/annotations/354.png", + "caption": "Pavement crack image semantic map (GT); Crack500 dataset; Semantic map in image center; The crack is about 10 inches long; White curve on black, closed loop with branches, thick and rough;", + "overview": "Pavement crack image semantic map (GT).", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "The crack is about 10 inches long.", + "trend_shape": "White curve on black, closed loop with branches, thick and rough." + }, + { + "image": "test/annotations/365.png", + "caption": "Black-and-white semantic map of pavement crack image; Crack500 dataset; Semantic map at image center; Semantic map is 10\"L x 0.25\"W crack; Narrow, vertical semantic map with small branching cracks;", + "overview": "Black-and-white semantic map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "10\"L x 0.25\"W crack", + "trend_shape": "Narrow, vertical semantic map with small branching cracks." + }, + { + "image": "test/annotations/367.png", + "caption": "GT semantic map for pavement crack image; Crack500 dataset; Map located at image center; The crack is about 10 cm long and 2 mm wide; Semantic map shows large crack from top-left, splitting into two branches ending at bottom;", + "overview": "GT semantic map for pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Map located at image center.", + "size": "The crack is about 10 cm long and 2 mm wide.", + "trend_shape": "Semantic map shows large crack from top-left, splitting into two branches ending at bottom." + }, + { + "image": "test/annotations/370.png", + "caption": "B/W semantic GT map of pavement crack image; Crack500 dataset; Semantic map centered in image; The crack is about 10 inches long; Diagonal crack, ~10px wide, top left to bottom right;", + "overview": "B/W semantic GT map of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map centered in image.", + "size": "The crack is about 10 inches long.", + "trend_shape": "Diagonal crack, ~10px wide, top left to bottom right." + }, + { + "image": "test/annotations/390.png", + "caption": "Crack500 dataset pavement crack GT map; Crack500 dataset; Semantic map at image center; Semantic map: 256x256 pixels; Tree-like semantic map with two branches connected by a curved line;", + "overview": "Crack500 dataset pavement crack GT map.", + "dataset": "Crack500 dataset", + "location": "Semantic map at image center.", + "size": "Semantic map: 256x256 pixels", + "trend_shape": "Tree-like semantic map with two branches connected by a curved line." + }, + { + "image": "test/annotations/394.png", + "caption": "This is a semantic map (groundtrue (GT)) of a pavement crack image; Crack500 dataset; The semantic map is located in the center of the image; The crack is approximately 1/4 inch wide and 12 inches long; The semantic map shows a single crack that is nearly horizontal and meandering;", + "overview": "This is a semantic map (groundtrue (GT)) of a pavement crack image.", + "dataset": "Crack500 dataset.", + "location": "The semantic map is located in the center of the image.", + "size": "The crack is approximately 1/4 inch wide and 12 inches long.", + "trend_shape": "The semantic map shows a single crack that is nearly horizontal and meandering." + }, + { + "image": "test/annotations/54.png", + "caption": "B/W semantic map of pavement crack, white pixels = crack location; Crack500 dataset; Semantic map in image center; The crack is about 10 inches long and 1 inch wide; V-shaped crack with main section ~150x10 pixels and two branches ~50x5 pixels;", + "overview": "B/W semantic map of pavement crack, white pixels = crack location.", + "dataset": "Crack500 dataset", + "location": "Semantic map in image center.", + "size": "The crack is about 10 inches long and 1 inch wide.", + "trend_shape": "V-shaped crack with main section ~150x10 pixels and two branches ~50x5 pixels." + }, + { + "image": "test/annotations/56.png", + "caption": "Semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map centers the image; The crack is about 1.5 inches long and 0.25 inches wide; Complex semantic map with many branches and intersections, featuring a diagonal main crack and branching smaller cracks;", + "overview": "Semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map centers the image.", + "size": "The crack is about 1.5 inches long and 0.25 inches wide.", + "trend_shape": "Complex semantic map with many branches and intersections, featuring a diagonal main crack and branching smaller cracks." + }, + { + "image": "test/annotations/82.png", + "caption": "BW semantic map (GT) of a pavement crack image; Crack500 dataset; Semantic map: image center; Crack: 1.5\" wide, 10\" long; Vertical crack splits image with smaller branches left and right;", + "overview": "BW semantic map (GT) of a pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map: image center.", + "size": "Crack: 1.5\" wide, 10\" long", + "trend_shape": "Vertical crack splits image with smaller branches left and right." + }, + { + "image": "test/annotations/83.png", + "caption": "This is a semantic map (groundtrue (GT)) of a pavement crack image; The dataset is Crack500 dataset; The semantic map is located at the center of the image; The crack is about 10 cm long and 1 mm wide; The semantic map has a horizontal trend and a curvilinear shape;", + "overview": "This is a semantic map (groundtrue (GT)) of a pavement crack image.", + "dataset": "The dataset is Crack500 dataset.", + "location": "The semantic map is located at the center of the image.", + "size": "The crack is about 10 cm long and 1 mm wide.", + "trend_shape": "The semantic map has a horizontal trend and a curvilinear shape." + }, + { + "image": "test/annotations/92.png", + "caption": "Semantic map (GT) of pavement crack image; Crack500 dataset; Semantic map: image center; The crack is approximately 1.5 inches long; Curved white line (1-3px wide) from top left to bottom right, with branches;", + "overview": "Semantic map (GT) of pavement crack image.", + "dataset": "Crack500 dataset", + "location": "Semantic map: image center.", + "size": "The crack is approximately 1.5 inches long.", + "trend_shape": "Curved white line (1-3px wide) from top left to bottom right, with branches." + }, + { + "image": "test/annotations/95.png", + "caption": "Pavement crack GT semantic map; Crack500 dataset; Map at image center; The crack is about 1.5 inches long; Diagonal crack from top left to bottom right, 10px wide;", + "overview": "Pavement crack GT semantic map.", + "dataset": "Crack500 dataset", + "location": "Map at image center.", + "size": "The crack is about 1.5 inches long.", + "trend_shape": "Diagonal crack from top left to bottom right, 10px wide." + } +] \ No newline at end of file diff --git a/dataset_curvilinear/crack/test/annotations/102.png b/dataset_curvilinear/crack/test/annotations/102.png new file mode 100644 index 0000000000000000000000000000000000000000..05fcdefe49d46726cb552ae0ac44169a6e49dc66 Binary files /dev/null and b/dataset_curvilinear/crack/test/annotations/102.png differ diff --git a/dataset_curvilinear/crack/test/annotations/105.png b/dataset_curvilinear/crack/test/annotations/105.png new file mode 100644 index 0000000000000000000000000000000000000000..3c331057eff29066cc23bdc6003c6959a637768e Binary files /dev/null and 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0000000000000000000000000000000000000000..c0203f5e6836419e1aba702a471b4251cfaa3452 --- /dev/null +++ b/dataset_curvilinear/retina/retina.json @@ -0,0 +1,1294 @@ +[ + { + "overview": "Retinal fundus photo showing central and peripheral vasculature.", + "dataset": "CHASEDB1 dataset", + "location": "Curvilinear vessels radiate outwards from the optic disc, decreasing in caliber peripherally.", + "size": "Vessel diameter ranges from 100-300 micrometers, larger near optic disc, finer towards edges.", + "trend_shape": "Vessels follow an arched, branching pattern; main vessels bifurcate into smaller branches.", + "background": "Orange-red gradient background, characteristic of the retinal pigment epithelium and choroid.", + "image": "CHASEDB1/training/images/0img.png", + "caption": "Retinal fundus photo showing central and peripheral vasculature; CHASEDB1 dataset; Curvilinear vessels radiate outwards from the optic disc, decreasing in caliber peripherally; Vessel diameter ranges from 100-300 micrometers, larger near optic disc, finer towards edges; Vessels follow an arched, branching pattern; main vessels bifurcate into smaller branches;" + }, + { + "overview": "Retinal image with radiating blood vessels from optic disc", + "dataset": "CHASEDB1 dataset", + "location": "Blood vessels radiate from the optic disc across the retina.", + "size": "Vessels vary in size, thickening centrally into narrower arterioles/venules peripherally.", + "trend_shape": "Branching, tree-like blood vessels: arterioles (narrower, brighter red) vs. venules (wider, darker).", + "background": "Retinal tissue exhibits orange to red hue variations in pigmentation and brightness.", + "image": "CHASEDB1/training/images/10img.png", + "caption": "Retinal image with radiating blood vessels from optic disc; CHASEDB1 dataset; Blood vessels radiate from the optic disc across the retina; Vessels vary in size, thickening centrally into narrower arterioles/venules peripherally; Branching, tree-like blood vessels: arterioles (narrower, brighter red) vs. venules (wider, darker);" + }, + { + "overview": "Fundus image of branching retinal vessels from optic disc", + "dataset": "CHASEDB1 dataset", + "location": "Blood vessels radiate from the optic disc, with arteries appearing brighter and thinner than darker, wider veins.", + "size": "Vessel caliber ranges from <100 micrometer for arterioles to ~150-250 micrometer for major vessels near optic disc.", + "trend_shape": "Vasculature bifurcates centrally to peripherally with diminishing size; arteriole-venule crossings noted.", + "background": "Orange-red gradient with uniform retinal pigmentation and absence of lesions.", + "image": "CHASEDB1/training/images/11img.png", + "caption": "Fundus image of branching retinal vessels from optic disc; CHASEDB1 dataset; Blood vessels radiate from the optic disc, with arteries appearing brighter and thinner than darker, wider veins; Vessel caliber ranges from <100 micrometer for arterioles to ~150-250 micrometer for major vessels near optic disc; Vasculature bifurcates centrally to peripherally with diminishing size; arteriole-venule crossings noted;" + }, + { + "overview": "Fundus photo of eye interior (retina, vessels, optic disc, macula)", + "dataset": "CHASEDB1 dataset", + "location": "Curvilinear vessels radiate from the central optic disc across the retina.", + "size": "Vessels range from large, wide to fine, narrow, extending from the optic disc to the retina's periphery.", + "trend_shape": "Vessels branch tree-like; arteries brighter, veins wider and darker; both taper with distance from optic disc.", + "background": "Retinal layers in orange-red, darker choroidal vessels, lighter orange macula.", + "image": "CHASEDB1/training/images/12img.png", + "caption": "Fundus photo of eye interior (retina, vessels, optic disc, macula); CHASEDB1 dataset; Curvilinear vessels radiate from the central optic disc across the retina; Vessels range from large, wide to fine, narrow, extending from the optic disc to the retina's periphery; Vessels branch tree-like; arteries brighter, veins wider and darker; both taper with distance from optic disc;" + }, + { + "overview": "Fundus photograph of retinal structure with optic disc and vessels.", + "dataset": "CHASEDB1 dataset", + "location": "Curvilinear vessels emanate radially from the optic disc.", + "size": "Vessel sizes range from capillaries (0 microns) to >100 microns, tapering as they branch peripherally.", + "trend_shape": "Vessels exhibit branching tree-like pattern with arterioles brighter and narrower, venules darker and wider; curvatures, bifurcations, and crossovers evident.", + "background": "Reddish-orange background with retinal and choroid variations.", + "image": "CHASEDB1/training/images/13img.png", + "caption": "Fundus photograph of retinal structure with optic disc and vessels; CHASEDB1 dataset; Curvilinear vessels emanate radially from the optic disc; Vessel sizes range from capillaries (0 microns) to >100 microns, tapering as they branch peripherally; Vessels exhibit branching tree-like pattern with arterioles brighter and narrower, venules darker and wider; curvatures, bifurcations, and crossovers evident;" + }, + { + "overview": "High-resolution image of the human retina highlighting its vascular network;", + "dataset": "CHASEDB1 dataset;", + "location": "Vessels are centrally located, branching radially from the optic disc;", + "size": "Vessels vary in size from thick primary branches to fine capillary networks;", + "trend_shape": "Vessels display a bifurcating pattern with smoothly curving trajectories;", + "background": "Homogenous reddish-brown background with darker peripheral areas.", + "image": "CHASEDB1/training/images/14img.png", + "caption": "High-resolution image of the human retina highlighting its vascular network; CHASEDB1 dataset; Vessels are centrally located, branching radially from the optic disc; Vessels vary in size from thick primary branches to fine capillary networks; Vessels display a bifurcating pattern with smoothly curving trajectories; Homogenous reddish-brown background with darker peripheral areas;" + }, + { + "overview": "Fundus image shows human retina with optic disc and retinal vessels.", + "dataset": "CHASEDB1 dataset", + "location": "Radiating vessels centered around optic disc.", + "size": "Variable vessel size, thicker mains, tapering to finer branches.", + "trend_shape": "Tubular, curvilinear vessels form a branching fractal tree-like structure.", + "background": "Orange retinal background with pigment epithelium and optic disc reflection.", + "image": "CHASEDB1/training/images/15img.png", + "caption": "Fundus image shows human retina with optic disc and retinal vessels; CHASEDB1 dataset; Radiating vessels centered around optic disc; Variable vessel size, thicker mains, tapering to finer branches; Tubular, curvilinear vessels form a branching fractal tree-like structure;" + }, + { + "overview": "Fundus photograph of the eye's interior.", + "dataset": "CHASEDB1 dataset", + "location": "Retinal blood vessels emerge from the central optic disc, branching over the retina.", + "size": "Vessel size varies widely", + "trend_shape": "Retinal vessels: broad centrally, finer peripherally; hierarchical arborescent pattern with radial arteries and veins; tortuous with gentle curves and acute bifurcations.", + "background": "Uniform reddish-orange background with retinal pigment epithelium and choroid variations.", + "image": "CHASEDB1/training/images/16img.png", + "caption": "Fundus photograph of the eye's interior; CHASEDB1 dataset; Retinal blood vessels emerge from the central optic disc, branching over the retina; Vessel size varies widely; Retinal vessels: broad centrally, finer peripherally; hierarchical arborescent pattern with radial arteries and veins; tortuous with gentle curves and acute bifurcations;" + }, + { + "overview": "Retinal image with complex vasculature.", + "dataset": "CHASEDB1 dataset", + "location": "Optic disc vessels radiate outward across the retina, branching and arborizing.", + "size": "Retinal vessels vary in diameter, with central vessels largest and branches progressively smaller.", + "trend_shape": "Vessels exhibit diverse curvilinear patterns, following hierarchical branching.", + "background": "Uniform reddish-orange background with retinal vessels.", + "image": "CHASEDB1/training/images/17img.png", + "caption": "Retinal image with complex vasculature; CHASEDB1 dataset; Optic disc vessels radiate outward across the retina, branching and arborizing; Retinal vessels vary in diameter, with central vessels largest and branches progressively smaller; Vessels exhibit diverse curvilinear patterns, following hierarchical branching;" + }, + { + "overview": "Color fundus photograph of human retina, showing optic disc, macula, vessels, and background (CHASEDB1). Curvilinear vessels distributed throughout.", + "dataset": "CHASEDB1 dataset", + "location": "Main vessels thicken near optic disc, then taper with branching.", + "size": "Finer vessels branch and curve away from the optic disc.", + "trend_shape": "Arterioles: light, narrow; Venules: dark, wide.", + "background": "Tortuous arterioles contrast venules in a reddish background with choroidal mottling.", + "image": "CHASEDB1/training/images/18img.png", + "caption": "Color fundus photograph of human retina, showing optic disc, macula, vessels, and background (CHASEDB1). Curvilinear vessels distributed throughout; CHASEDB1 dataset; Main vessels thicken near optic disc, then taper with branching; Finer vessels branch and curve away from the optic disc; Arterioles: light, narrow; Venules: dark, wide;" + }, + { + "overview": "Retinal image shows branching lines and optic disc.", + "dataset": "CHASEDB1 dataset", + "location": "Retinal vessels branch outward from the optic disc in a tree-like pattern.", + "size": "Vessel caliber varies: central vessels prominent, peripheral vessels finer and sparser.", + "trend_shape": "Tortuous vessel paths, with larger vessels straighter and smaller vessels gently curving, form a fractal network.", + "background": "Orange background with retinal and light variations.", + "image": "CHASEDB1/training/images/19img.png", + "caption": "Retinal image shows branching lines and optic disc; CHASEDB1 dataset; Retinal vessels branch outward from the optic disc in a tree-like pattern; Vessel caliber varies: central vessels prominent, peripheral vessels finer and sparser; Tortuous vessel paths, with larger vessels straighter and smaller vessels gently curving, form a fractal network;" + }, + { + "overview": "Retinal fundus image.", + "dataset": "CHASEDB1 dataset", + "location": "Vessels radiate from the central optic disc.", + "size": "Retinal vessels range in size from larger central artery/vein to smaller arterioles/venules.", + "trend_shape": "Branching pattern central to peripheral; vessels taper, arterioles bright, venules darker and wider; tortuous curvilinear shape.", + "background": "Retinal pigment epithelium: orange-pink hue; darker areas reflect less light.", + "image": "CHASEDB1/training/images/1img.png", + "caption": "Retinal fundus image; CHASEDB1 dataset; Vessels radiate from the central optic disc; Retinal vessels range in size from larger central artery/vein to smaller arterioles/venules; Branching pattern central to peripheral; vessels taper, arterioles bright, venules darker and wider; tortuous curvilinear shape;" + }, + { + "overview": "Retinal fundus photo with optic disc and vessels.", + "dataset": "CHASEDB1 dataset", + "location": "Retinal vessels originate at the optic disc and spread radially across the retina.", + "size": "Retinal vessels vary in size, with central ones thicker and tapering to thinness at the periphery.", + "trend_shape": "Vessels branch and narrow distally; larger vessels are straighter, smaller ones tortuous.", + "background": "Image background exhibits orange to brown tones representing retinal pigment epithelium and choroid.", + "image": "CHASEDB1/training/images/2img.png", + "caption": "Retinal fundus photo with optic disc and vessels; CHASEDB1 dataset; Retinal vessels originate at the optic disc and spread radially across the retina; Retinal vessels vary in size, with central ones thicker and tapering to thinness at the periphery; Vessels branch and narrow distally; larger vessels are straighter, smaller ones tortuous;" + }, + { + "overview": "Retinal fundus image.", + "dataset": "CHASEDB1 dataset", + "location": "Curvilinear vessels radiate from the optic disc, branching throughout the retina.", + "size": "Vessel diameters vary: wide at optic disc, tapering peripherally; fine capillaries narrowest.", + "trend_shape": "Vessels exhibit curvilinear trends and tortuous pathways with straight segments and curves.", + "background": "Retinal surface texture comprises orange-pink coloration with varying pigmentation and brightness.", + "image": "CHASEDB1/training/images/3img.png", + "caption": "Retinal fundus image; CHASEDB1 dataset; Curvilinear vessels radiate from the optic disc, branching throughout the retina; Vessel diameters vary: wide at optic disc, tapering peripherally; fine capillaries narrowest; Vessels exhibit curvilinear trends and tortuous pathways with straight segments and curves;" + }, + { + "overview": "Fundus photo reveals intricate blood vessel network in the human eye.", + "dataset": "CHASEDB1 dataset", + "location": "Retinal vessels radiating from the optic disc", + "size": "Vessel size: subpixel for capillaries to pixels for arterioles/venules.", + "trend_shape": "Branching vessels narrow from optic disc with peripheral tortuosity.", + "background": "Orange retinal background.", + "image": "CHASEDB1/training/images/4img.png", + "caption": "Fundus photo reveals intricate blood vessel network in the human eye; CHASEDB1 dataset; Retinal vessels radiating from the optic disc; Vessel size: subpixel for capillaries to pixels for arterioles/venules; Branching vessels narrow from optic disc with peripheral tortuosity;" + }, + { + "overview": "Retinal image with optic disc, blood vessels, and texture.", + "dataset": "CHASEDB1 dataset", + "location": "Branching vessels from optic disc spread across retina.", + "size": "Retinal vessels vary in size, thickening centrally and tapering peripherally, with variable arterioles and venules.", + "trend_shape": "Tortuous vessels (linear and sinuous) form a complex network with arterioles (narrow, bright red) and venules (wider, darker).", + "background": "Retinal texture with pigmentation and brightness variations around vessels and optic disc.", + "image": "CHASEDB1/training/images/5img.png", + "caption": "Retinal image with optic disc, blood vessels, and texture; CHASEDB1 dataset; Branching vessels from optic disc spread across retina; Retinal vessels vary in size, thickening centrally and tapering peripherally, with variable arterioles and venules; Tortuous vessels (linear and sinuous) form a complex network with arterioles (narrow, bright red) and venules (wider, darker);" + }, + { + "overview": "HR color fundus photo of human retina", + "dataset": "CHASEDB1 dataset", + "location": "Retinal vessels: dense at center, highest near optic disc and macula.", + "size": "Vessels range from capillaries (<100 micrometer) to ~100-200 micrometer; central retinal vessel trunk: wider", + "trend_shape": "Vessel arcades from the optic disc form a fractal tree-like structure, tapering peripherally.", + "background": "Homogenous orange-to-red retinal pigment epithelium background", + "image": "CHASEDB1/training/images/6img.png", + "caption": "HR color fundus photo of human retina; CHASEDB1 dataset; Retinal vessels: dense at center, highest near optic disc and macula; Vessels range from capillaries (<100 micrometer) to ~100-200 micrometer; central retinal vessel trunk: wider; Vessel arcades from the optic disc form a fractal tree-like structure, tapering peripherally;" + }, + { + "overview": "High-res color fundus photo of central retina and optic disc vessels.", + "dataset": "CHASEDB1 dataset", + "location": "Vessels radiate outward from the central optic disc.", + "size": "Vessel sizes vary.", + "trend_shape": "Retinal vasculature exhibits a branching pattern with straight and tortuous segments, progressively tapering vessels, and arcades.", + "background": "Retinal fundus exhibits orange to red hues with darker pigmentation areas.", + "image": "CHASEDB1/training/images/7img.png", + "caption": "High-res color fundus photo of central retina and optic disc vessels; CHASEDB1 dataset; Vessels radiate outward from the central optic disc; Vessel sizes vary; Retinal vasculature exhibits a branching pattern with straight and tortuous segments, progressively tapering vessels, and arcades;" + }, + { + "overview": "Retinal imaging of central and peripheral structures.", + "dataset": "CHASEDB1 dataset", + "location": "Optic disc-originating blood vessels branch across retina, covering the entire image.", + "size": "Vessel diameters range from <100 to ~200 micrometers, with the central retinal artery and vein being largest.", + "trend_shape": "Blood vessels exhibit complex arborization, following a fractal distribution with tapering, bifurcation, and convergence.", + "background": "Orange background with pigmentation variations.", + "image": "CHASEDB1/training/images/8img.png", + "caption": "Retinal imaging of central and peripheral structures; CHASEDB1 dataset; Optic disc-originating blood vessels branch across retina, covering the entire image; Vessel diameters range from <100 to ~200 micrometers, with the central retinal artery and vein being largest; Blood vessels exhibit complex arborization, following a fractal distribution with tapering, bifurcation, and convergence;" + }, + { + "overview": "Retinal fundus image of vascular network.", + "dataset": "CHASEDB1 dataset", + "location": "Vessels emerge from optic disc, covering retina.", + "size": "Vessel caliber varies, widest at central retina, tapering to narrower arterioles and venules.", + "trend_shape": "Arteries are narrower, lighter, and pulsate; veins are wider, darker, and sinuous.", + "background": "Homogeneous reddish-orange retinal background.", + "image": "CHASEDB1/training/images/9img.png", + "caption": "Retinal fundus image of vascular network; CHASEDB1 dataset; Vessels emerge from optic disc, covering retina; Vessel caliber varies, widest at central retina, tapering to narrower arterioles and venules; Arteries are narrower, lighter, and pulsate; veins are wider, darker, and sinuous;" + }, + { + "overview": "Semantic map of retinal vessels from ophthalmologic dataset.", + "dataset": "CHASEDB1 dataset", + "location": "Semantic map fills dark image.", + "size": "Semantic map covers whole image.", + "trend_shape": "Branching, curved vascular network with bifurcations forms from central vessels.", + "image": "CHASEDB1/training/annotations/0gt.png", + "caption": "Semantic map of retinal vessels from ophthalmologic dataset; CHASEDB1 dataset; Semantic map fills dark image; Semantic map covers whole image; Branching, curved vascular network with bifurcations forms from central vessels;" + }, + { + "overview": "BW semantic retinal vessel map (GT for given image)", + "dataset": "CHASEDB1 dataset", + "location": "Radial vessel distribution, centered at optic disc, spans image.", + "size": "Vessels vary from fine to thick.", + "trend_shape": "Vessels extend curvilinearly from a central point, branching and tapering with a smooth gradient, mimicking human retinal vasculature.", + "image": "CHASEDB1/training/annotations/10gt.png", + "caption": "BW semantic retinal vessel map (GT for given image); CHASEDB1 dataset; Radial vessel distribution, centered at optic disc, spans image; Vessels vary from fine to thick; Vessels extend curvilinearly from a central point, branching and tapering with a smooth gradient, mimicking human retinal vasculature;" + }, + { + "overview": "High-contrast semantic map of retinal vasculature for vessel segmentation (GT).", + "dataset": "CHASEDB1 dataset", + "location": "Semantic map centered, spans full visual field", + "size": "Semantic map spans the image.", + "trend_shape": "Branching tree-like vascular network with central artery bifurcating into finer arterioles and venules, curvature increasing with decreasing vessel size.", + "image": "CHASEDB1/training/annotations/11gt.png", + "caption": "High-contrast semantic map of retinal vasculature for vessel segmentation (GT); CHASEDB1 dataset; Semantic map centered, spans full visual field; Semantic map spans the image; Branching tree-like vascular network with central artery bifurcating into finer arterioles and venules, curvature increasing with decreasing vessel size;" + }, + { + "image": "CHASEDB1/training/annotations/12gt.png", + "caption": "GT retinal vessel map; CHASEDB1 dataset; Map covers full image; Blood vessel sizes vary, but they are typically thin and elongated; Blood vessel branching exhibits varying curvature;", + "overview": "GT retinal vessel map.", + "dataset": "CHASEDB1 dataset", + "location": "Map covers full image.", + "size": "Blood vessel sizes vary, but they are typically thin and elongated.", + "trend_shape": "Blood vessel branching exhibits varying curvature." + }, + { + "overview": "Retina vascular map (GT)", + "dataset": "CHASEDB1 dataset", + "location": "Central semantic map with vessels branching from the optic disc.", + "size": "Semantic map partially covers image, leaving border around structure", + "trend_shape": "Vessels branch outwards with varying curved shapes.", + "image": "CHASEDB1/training/annotations/13gt.png", + "caption": "Retina vascular map (GT); CHASEDB1 dataset; Central semantic map with vessels branching from the optic disc; Semantic map partially covers image, leaving border around structure; Vessels branch outwards with varying curved shapes;" + }, + { + "overview": "A black and white semantic map depicting the detailed structure of retinal vessels;", + "dataset": "CHASEDB1 dataset;", + "location": "The semantic map centrally located, covering the entire image field;", + "size": "The semantic map covers the entire image;", + "trend_shape": "The vessels exhibit branching, curvilinear patterns extending radially from a central focal point, with varying thickness and multiple bifurcation points.", + "image": "CHASEDB1/training/annotations/14gt.png", + "caption": "A black and white semantic map depicting the detailed structure of retinal vessels; CHASEDB1 dataset; The semantic map centrally located, covering the entire image field; The semantic map covers the entire image; The vessels exhibit branching, curvilinear patterns extending radially from a central focal point, with varying thickness and multiple bifurcation points;" + }, + { + "overview": "Black background with white curvilinear GT retinal vessel map", + "dataset": "CHASEDB1 dataset", + "location": "Central semantic map with central main vascular structure.", + "size": "Contrasting vessels fill the semantic map image space.", + "trend_shape": "Curvilinear structures branch from a central point, resembling a tree-like vascular network.", + "image": "CHASEDB1/training/annotations/15gt.png", + "caption": "Black background with white curvilinear GT retinal vessel map; CHASEDB1 dataset; Central semantic map with central main vascular structure; Contrasting vessels fill the semantic map image space; Curvilinear structures branch from a central point, resembling a tree-like vascular network;" + }, + { + "overview": "Image shows GT vessel segmentation as curvilinear structures on dark background.", + "dataset": "CHASEDB1 dataset", + "location": "Central semantic map, main vessel structure branching from center to periphery.", + "size": "Semantic map covers most of the image, with thinner vessels at edges and thicker vessels in center.", + "trend_shape": "Semantic map resembles retinal blood vessels: central vessel branching into thinner, elongated, curvy branches with occasional sharp angles at bifurcations.", + "image": "CHASEDB1/training/annotations/16gt.png", + "caption": "Image shows GT vessel segmentation as curvilinear structures on dark background; CHASEDB1 dataset; Central semantic map, main vessel structure branching from center to periphery; Semantic map covers most of the image, with thinner vessels at edges and thicker vessels in center; Semantic map resembles retinal blood vessels: central vessel branching into thinner, elongated, curvy branches with occasional sharp angles at bifurcations;" + }, + { + "overview": "BW image of retinal blood vessels semantic map/ground truth.", + "dataset": "CHASEDB1 dataset", + "location": "Central semantic map with radial curvilinear objects extending outwards.", + "size": "Semantic map size covers entire image.", + "trend_shape": "Semantic map depicts dense network of curvilinear blood vessels, branching from center with bifurcations and crossovers.", + "image": "CHASEDB1/training/annotations/17gt.png", + "caption": "BW image of retinal blood vessels semantic map/ground truth; CHASEDB1 dataset; Central semantic map with radial curvilinear objects extending outwards; Semantic map size covers entire image; Semantic map depicts dense network of curvilinear blood vessels, branching from center with bifurcations and crossovers;" + }, + { + "overview": "Semantic map of retinal vascular ground truth.", + "dataset": "CHASEDB1 dataset", + "location": "Centered semantic map fills most of image, with main vascular branches extending outwards.", + "size": "Semantic map covers entire image.", + "trend_shape": "Semantic map exhibits complex branching with varying vessel widths, resembling retinal blood vessels.", + "image": "CHASEDB1/training/annotations/18gt.png", + "caption": "Semantic map of retinal vascular ground truth; CHASEDB1 dataset; Centered semantic map fills most of image, with main vascular branches extending outwards; Semantic map covers entire image; Semantic map exhibits complex branching with varying vessel widths, resembling retinal blood vessels;" + }, + { + "overview": "BW semantic map of retinal vessel ground truth", + "dataset": "CHASEDB1 dataset", + "location": "Vessel map dominates image space.", + "size": "Semantic map size matches image resolution, showing detailed structure throughout.", + "trend_shape": "Tree-like semantic map branches from a center with varying vessel thickness and curvature.", + "image": "CHASEDB1/training/annotations/19gt.png", + "caption": "BW semantic map of retinal vessel ground truth; CHASEDB1 dataset; Vessel map dominates image space; Semantic map size matches image resolution, showing detailed structure throughout; Tree-like semantic map branches from a center with varying vessel thickness and curvature;" + }, + { + "overview": "Semantic map (GT) of retinal vessels", + "dataset": "CHASEDB1 dataset", + "location": "Centered, occupying the majority of the image area", + "size": "High-resolution with clear delineation of vessel paths", + "trend_shape": "Complex network with both thick and thin curvilinear structures, branching patterns, and bifurcation features.", + "image": "CHASEDB1/training/annotations/1gt.png", + "caption": "Semantic map (GT) of retinal vessels; CHASEDB1 dataset; Centered, occupying the majority of the image area; High-resolution with clear delineation of vessel paths; Complex network with both thick and thin curvilinear structures, branching patterns, and bifurcation features;" + }, + { + "overview": "Image of GT retinal vessel network.", + "dataset": "CHASEDB1 dataset", + "location": "Semantic map centered in image, with vessels radiating from center.", + "size": "Large, dense vessel cluster in image center tapers off to finer branches at edges.", + "trend_shape": "Arborescent branching pattern of vessels diverging from the optic disc.", + "image": "CHASEDB1/training/annotations/2gt.png", + "caption": "Image of GT retinal vessel network; CHASEDB1 dataset; Semantic map centered in image, with vessels radiating from center; Large, dense vessel cluster in image center tapers off to finer branches at edges; Arborescent branching pattern of vessels diverging from the optic disc;" + }, + { + "image": "CHASEDB1/training/annotations/3gt.png", + "caption": "A semantic map (GT) outlines the curvilinear structures of vessels; CHASEDB1 dataset; Dense vessels centered in semantic map, radiating outward; Semantic map dominates image; vessel outlines vary in length and thickness; Semantic map's branching pattern resembles retinal blood vessels, depicting realistic tree-like structures;", + "overview": "A semantic map (GT) outlines the curvilinear structures of vessels.", + "dataset": "CHASEDB1 dataset", + "location": "Dense vessels centered in semantic map, radiating outward.", + "size": "Semantic map dominates image; vessel outlines vary in length and thickness.", + "trend_shape": "Semantic map's branching pattern resembles retinal blood vessels, depicting realistic tree-like structures." + }, + { + "overview": "Black-white semantic map of retinal vessel network in CHASEDB1", + "dataset": "CHASEDB1 dataset", + "location": "Semantic map centered in image, with main vessel structure branching from center.", + "size": "Semantic map dominates image, with vessel lines covering 95% area.", + "trend_shape": "Semantic map vessels radiate from the optic disc, branching into arterioles and venules with curvilinear forms.", + "image": "CHASEDB1/training/annotations/4gt.png", + "caption": "Black-white semantic map of retinal vessel network in CHASEDB1; CHASEDB1 dataset; Semantic map centered in image, with main vessel structure branching from center; Semantic map dominates image, with vessel lines covering 95% area; Semantic map vessels radiate from the optic disc, branching into arterioles and venules with curvilinear forms;" + }, + { + "overview": "GT vascular retina map", + "dataset": "CHASEDB1 dataset", + "location": "Semantic map fills entire image frame", + "size": "Semantic map spans the entire image.", + "trend_shape": "Radial vessels with varying curvature, length, and angles branch from a central trunk.", + "image": "CHASEDB1/training/annotations/5gt.png", + "caption": "GT vascular retina map; CHASEDB1 dataset; Semantic map fills entire image frame; Semantic map spans the entire image; Radial vessels with varying curvature, length, and angles branch from a central trunk;" + }, + { + "overview": "Binary semantic map of retinal vascular structure (GT for training)", + "dataset": "CHASEDB1 dataset", + "location": "Retinal vessels branch from optic disc at image center.", + "size": "512x512 pixel uniform semantic map fills image canvas.", + "trend_shape": "Fractal-like branching of retinal vessels, tapering outward with curvilinear segments of varying angles.", + "image": "CHASEDB1/training/annotations/6gt.png", + "caption": "Binary semantic map of retinal vascular structure (GT for training); CHASEDB1 dataset; Retinal vessels branch from optic disc at image center; 512x512 pixel uniform semantic map fills image canvas; Fractal-like branching of retinal vessels, tapering outward with curvilinear segments of varying angles;" + }, + { + "overview": "B&W semantic map (GT) of retinal vascular structure", + "dataset": "CHASEDB1 dataset", + "location": "Central semantic map covers most image, centered.", + "size": "Semantic map fills nearly the image with a small border.", + "trend_shape": "Curvilinear vessels with tree-like structure branch from a thick central vessel at varying angles and distances.", + "image": "CHASEDB1/training/annotations/7gt.png", + "caption": "B&W semantic map (GT) of retinal vascular structure; CHASEDB1 dataset; Central semantic map covers most image, centered; Semantic map fills nearly the image with a small border; Curvilinear vessels with tree-like structure branch from a thick central vessel at varying angles and distances;" + }, + { + "overview": "Retinal vascular image segmentation (GT) in semantic map format", + "dataset": "CHASEDB1 dataset", + "location": "Semantic map within image boundaries.", + "size": "Map spans image dimensions", + "trend_shape": "Fractal-like branching vessels taper from the optic disc to the retinal periphery.", + "image": "CHASEDB1/training/annotations/8gt.png", + "caption": "Retinal vascular image segmentation (GT) in semantic map format; CHASEDB1 dataset; Semantic map within image boundaries; Map spans image dimensions; Fractal-like branching vessels taper from the optic disc to the retinal periphery;" + }, + { + "overview": "Black-white semantic map of GT retinal vessels", + "dataset": "CHASEDB1 dataset", + "location": "Central semantic map covers entire field of view", + "size": "High-contrast semantic map with fine details at 512x512 resolution.", + "trend_shape": "Semantic map: Tree-like vessel branches mimic retinal vasculature pattern.", + "image": "CHASEDB1/training/annotations/9gt.png", + "caption": "Black-white semantic map of GT retinal vessels; CHASEDB1 dataset; Central semantic map covers entire field of view; High-contrast semantic map with fine details at 512x512 resolution; Semantic map: Tree-like vessel branches mimic retinal vasculature pattern;" + }, + { + "overview": "Fundus photograph shows eye's internal structures in orange hue.", + "dataset": "CHASEDB1 dataset", + "location": "Curvilinear blood vessels radiate from the optic disc across the retina.", + "size": "Vessel size varies, larger near optic disc, smaller towards periphery", + "trend_shape": "Branching vessels (thick trunks to thin tortuous ones); arteries/veins differ in size and color.", + "background": "Uniform, gradient background: lighter orange near optic disc, darker at edges.", + "image": "CHASEDB1/test/images/20img.png", + "caption": "Fundus photograph shows eye's internal structures in orange hue; CHASEDB1 dataset; Curvilinear blood vessels radiate from the optic disc across the retina; Vessel size varies, larger near optic disc, smaller towards periphery; Branching vessels (thick trunks to thin tortuous ones); arteries/veins differ in size and color;" + }, + { + "overview": "Retinal fundus imaging of vascular network.", + "dataset": "CHASEDB1 dataset", + "location": "Radiating blood vessels from the optic disc vary in diameter and appearance (arterial: brighter, venous: darker).", + "size": "Vessel width ranges from <0.1 mm for arterioles/venules to 1-2 mm for vessels near optic disc.", + "trend_shape": "Branching tree vessels exhibit arborizing and curving patterns, with smooth and angular bifurcations.", + "background": "Orange background with bright disc at center.", + "image": "CHASEDB1/test/images/21img.png", + "caption": "Retinal fundus imaging of vascular network; CHASEDB1 dataset; Radiating blood vessels from the optic disc vary in diameter and appearance (arterial: brighter, venous: darker); Vessel width ranges from <0.1 mm for arterioles/venules to 1-2 mm for vessels near optic disc; Branching tree vessels exhibit arborizing and curving patterns, with smooth and angular bifurcations;" + }, + { + "overview": "Retinal fundus photography", + "dataset": "CHASEDB1 dataset", + "location": "Curvilinear blood vessels originate centrally from the optic disc, radiating across the retina.", + "size": "Vessel sizes vary, thickest at central retinal artery/vein, tapering to finer arterioles/venules peripherally.", + "trend_shape": "Tortuous vessels exhibit branching and bifurcation patterns, with varying curvatures.", + "background": "Reddish-orange retinal image shows retinal layer variations.", + "image": "CHASEDB1/test/images/22img.png", + "caption": "Retinal fundus photography; CHASEDB1 dataset; Curvilinear blood vessels originate centrally from the optic disc, radiating across the retina; Vessel sizes vary, thickest at central retinal artery/vein, tapering to finer arterioles/venules peripherally; Tortuous vessels exhibit branching and bifurcation patterns, with varying curvatures;" + }, + { + "overview": "Fundus image of human retina with optic disc and blood vessels.", + "dataset": "CHASEDB1 dataset", + "location": "Blood vessels radiate outward from the optic disc, with higher density near the center.", + "size": "Vessel diameters vary: central retinal vessels (100-150 micrometer) > arterioles/venules (10-100 micrometer).", + "trend_shape": "Curvilinear vessels bifurcate from optic disc with varying curvature.", + "background": "Reddish-orange background with variations and darker retinal/choroid areas.", + "image": "CHASEDB1/test/images/23img.png", + "caption": "Fundus image of human retina with optic disc and blood vessels; CHASEDB1 dataset; Blood vessels radiate outward from the optic disc, with higher density near the center; Vessel diameters vary: central retinal vessels (100-150 micrometer) > arterioles/venules (10-100 micrometer); Curvilinear vessels bifurcate from optic disc with varying curvature;" + }, + { + "overview": "Retinal image detailing vascular structure and optic disc.", + "dataset": "CHASEDB1 dataset", + "location": "Vessels radiate from the optic disc, arteries narrower and brighter than veins.", + "size": "Artery caliber ~1/3 of accompanying veins.", + "trend_shape": "Arteries and veins branch, with arterioles straighter, venules tortuous, and bifurcation points visible.", + "background": "Consistent retinal pigment background with shade variation and central optic disc reflex.", + "image": "CHASEDB1/test/images/24img.png", + "caption": "Retinal image detailing vascular structure and optic disc; CHASEDB1 dataset; Vessels radiate from the optic disc, arteries narrower and brighter than veins; Artery caliber ~1/3 of accompanying veins; Arteries and veins branch, with arterioles straighter, venules tortuous, and bifurcation points visible;" + }, + { + "overview": "Ocular fundus image of optic disc and retinal vasculature.", + "dataset": "CHASEDB1 dataset", + "location": "Curvilinear retinal vessels emerge from the optic disc.", + "size": "Vessel diameters vary, larger at center, tapering towards periphery.", + "trend_shape": "Vessel branching: center (straight, wide) vs periphery (curved, narrow); arterioles (light, narrow) vs venules (dark, wide).", + "background": "Retinal tissue exhibits consistent red-orange hue.", + "image": "CHASEDB1/test/images/25img.png", + "caption": "Ocular fundus image of optic disc and retinal vasculature; CHASEDB1 dataset; Curvilinear retinal vessels emerge from the optic disc; Vessel diameters vary, larger at center, tapering towards periphery; Vessel branching: center (straight, wide) vs periphery (curved, narrow); arterioles (light, narrow) vs venules (dark, wide);" + }, + { + "overview": "Fundus photo: vessels and optic disc", + "dataset": "CHASEDB1 dataset", + "location": "Radial blood vessels expand from the optic disc across the retina.", + "size": "Retinal vessels taper from central artery/vein to arterioles/venules.", + "trend_shape": "Vessels branch in a tree-like pattern with lighter, narrower arterioles and darker, wider venules.", + "background": "Orange-red background with brightness and texture variations.", + "image": "CHASEDB1/test/images/26img.png", + "caption": "Fundus photo: vessels and optic disc; CHASEDB1 dataset; Radial blood vessels expand from the optic disc across the retina; Retinal vessels taper from central artery/vein to arterioles/venules; Vessels branch in a tree-like pattern with lighter, narrower arterioles and darker, wider venules;" + }, + { + "overview": "Fundus photo of retinal vasculature.", + "dataset": "CHASEDB1 dataset", + "location": "Curvilinear vessels radiate from the optic disc to the peripheral retina.", + "size": "Vessel calibers vary: thicker central arteries/veins, finer peripheral arterioles/venules.", + "trend_shape": "Bifurcating vessels show distinct artery and vein widths, with a tortuous course of smooth transitions.", + "background": "Uniform reddish-orange retinal background with subtle pigmentation and brightness variations.", + "image": "CHASEDB1/test/images/27img.png", + "caption": "Fundus photo of retinal vasculature; CHASEDB1 dataset; Curvilinear vessels radiate from the optic disc to the peripheral retina; Vessel calibers vary: thicker central arteries/veins, finer peripheral arterioles/venules; Bifurcating vessels show distinct artery and vein widths, with a tortuous course of smooth transitions;" + }, + { + "overview": "BW image of semantic GT highlights curvilinear retinal vasculature.", + "dataset": "CHASEDB1 dataset", + "location": "Central map in image, vessels radiating from center.", + "size": "Curvilinear structures of varying thickness fill nearly the entire image frame.", + "trend_shape": "Semantic map resembles a tree-like vascular structure, with curvilinear lines branching outward from a central point, tapering in thickness.", + "image": "CHASEDB1/test/annotations/20gt.png", + "caption": "BW image of semantic GT highlights curvilinear retinal vasculature; CHASEDB1 dataset; Central map in image, vessels radiating from center; Curvilinear structures of varying thickness fill nearly the entire image frame; Semantic map resembles a tree-like vascular structure, with curvilinear lines branching outward from a central point, tapering in thickness;" + }, + { + "overview": "High-contrast semantic map (GT) depicts retinal vessels as white curves on a black background.", + "dataset": "CHASEDB1 dataset", + "location": "Central semantic map radiates outward.", + "size": "Semantic map resolution matches image resolution, with precise vessel tracking and annotation.", + "trend_shape": "Semantic map: branching pattern with main vessel bifurcating into smaller vessels, capturing retinal vasculature complexity.", + "image": "CHASEDB1/test/annotations/21gt.png", + "caption": "High-contrast semantic map (GT) depicts retinal vessels as white curves on a black background; CHASEDB1 dataset; Central semantic map radiates outward; Semantic map resolution matches image resolution, with precise vessel tracking and annotation; Semantic map: branching pattern with main vessel bifurcating into smaller vessels, capturing retinal vasculature complexity;" + }, + { + "overview": "B&W image of retinal vessel GT", + "dataset": "CHASEDB1 dataset", + "location": "Dense semantic map centralizes image space, vessels radiate from central cluster.", + "size": "Semantic map fills almost entire image, implying high resolution.", + "trend_shape": "Semantic map shows branching tree pattern with larger vessels from central cluster tapering to finer vessels at periphery, mimicking retinal vasculature.", + "image": "CHASEDB1/test/annotations/22gt.png", + "caption": "B&W image of retinal vessel GT; CHASEDB1 dataset; Dense semantic map centralizes image space, vessels radiate from central cluster; Semantic map fills almost entire image, implying high resolution; Semantic map shows branching tree pattern with larger vessels from central cluster tapering to finer vessels at periphery, mimicking retinal vasculature;" + }, + { + "overview": "GT map visualizes retinal vessels as white lines on black.", + "dataset": "CHASEDB1 dataset", + "location": "Semantic map in central region, occupying middle two-thirds.", + "size": "Semantic map dimensions correspond to image dimensions, providing a close-up vessel view.", + "trend_shape": "Semantic map: central hub with branching, curvilinear vessels like retinal vasculature.", + "image": "CHASEDB1/test/annotations/23gt.png", + "caption": "GT map visualizes retinal vessels as white lines on black; CHASEDB1 dataset; Semantic map in central region, occupying middle two-thirds; Semantic map dimensions correspond to image dimensions, providing a close-up vessel view; Semantic map: central hub with branching, curvilinear vessels like retinal vasculature;" + }, + { + "overview": "High-contrast GT semantic map of retinal vascular structures.", + "dataset": "CHASEDB1 dataset", + "location": "Central semantic map shows a branching pattern from an offset upper convergence point.", + "size": "Extensive semantic map covers most of image area, featuring various branching vessels.", + "trend_shape": "Radial semantic map with fractal curvilinear vessels resembles a retinal vasculature system.", + "image": "CHASEDB1/test/annotations/24gt.png", + "caption": "High-contrast GT semantic map of retinal vascular structures; CHASEDB1 dataset; Central semantic map shows a branching pattern from an offset upper convergence point; Extensive semantic map covers most of image area, featuring various branching vessels; Radial semantic map with fractal curvilinear vessels resembles a retinal vasculature system;" + }, + { + "overview": "B&W semantic map highlights curvilinear retinal vessel structures", + "dataset": "CHASEDB1 dataset", + "location": "Semantic map in image center with vessels extending outward.", + "size": "Semantic map covers entire image, vessels centrally concentrated and taper at edges.", + "trend_shape": "Arborescent semantic map shows a branching central vessel with linear/curved segments.", + "image": "CHASEDB1/test/annotations/25gt.png", + "caption": "B&W semantic map highlights curvilinear retinal vessel structures; CHASEDB1 dataset; Semantic map in image center with vessels extending outward; Semantic map covers entire image, vessels centrally concentrated and taper at edges; Arborescent semantic map shows a branching central vessel with linear/curved segments;" + }, + { + "overview": "Semantic map (GT) depicts retinal vessel structure in high-contrast black and white.", + "dataset": "CHASEDB1 dataset", + "location": "Central semantic map branches from a central point to the image periphery", + "size": "Semantic map fills image canvas, vascular structures visible against black background.", + "trend_shape": "Fractal branching pattern with curvilinear vessels forms tree-like network.", + "image": "CHASEDB1/test/annotations/26gt.png", + "caption": "Semantic map (GT) depicts retinal vessel structure in high-contrast black and white; CHASEDB1 dataset; Central semantic map branches from a central point to the image periphery; Semantic map fills image canvas, vascular structures visible against black background; Fractal branching pattern with curvilinear vessels forms tree-like network;" + }, + { + "overview": "B&W semantic map (GT) of retinal vessel structure (white curves on black)", + "dataset": "CHASEDB1 dataset", + "location": "Central semantic map with radiating vessel structures.", + "size": "Semantic map uniform across image, white line thickness varies representing vessel calibers.", + "trend_shape": "Semantic map shows branched tree-like vascular pattern of retinal vessels.", + "image": "CHASEDB1/test/annotations/27gt.png", + "caption": "B&W semantic map (GT) of retinal vessel structure (white curves on black); CHASEDB1 dataset; Central semantic map with radiating vessel structures; Semantic map uniform across image, white line thickness varies representing vessel calibers; Semantic map shows branched tree-like vascular pattern of retinal vessels;" + }, + { + "overview": "Retinal fundus color photograph.", + "dataset": "DRIVE dataset", + "location": "Retinal blood vessels originate from the optic disc and radiate outward.", + "size": "Vessel diameters vary from subpixel to multiple pixels, with central vessels wider than peripheral.", + "trend_shape": "Branched, tapered curvilinear vessels extending from the optic disc with occasional tortuosity.", + "background": "Orange to pink background with dark retinal pigment epithelium and light choroidal reflection.", + "image": "DRIVE/training/images/0img.png", + "caption": "Retinal fundus color photograph; DRIVE dataset; Retinal blood vessels originate from the optic disc and radiate outward; Vessel diameters vary from subpixel to multiple pixels, with central vessels wider than peripheral; Branched, tapered curvilinear vessels extending from the optic disc with occasional tortuosity;" + }, + { + "overview": "Fundus photo of eye interior (retina, optic disc, macula, blood vessels).", + "dataset": "DRIVE dataset", + "location": "Curvilinear vessels radiate from the optic disc, concentrating at the center and fanning outward.", + "size": "Vessel size varies, larger at optic disc, finer towards periphery.", + "trend_shape": "Branched, curvilinear vessels diminish with bifurcation, mostly linear with retinal contour curvatures.", + "background": "Orange to red gradient background, fading darker at edges.", + "image": "DRIVE/training/images/10img.png", + "caption": "Fundus photo of eye interior (retina, optic disc, macula, blood vessels); DRIVE dataset; Curvilinear vessels radiate from the optic disc, concentrating at the center and fanning outward; Vessel size varies, larger at optic disc, finer towards periphery; Branched, curvilinear vessels diminish with bifurcation, mostly linear with retinal contour curvatures;" + }, + { + "overview": "High-res color fundus image of human retina", + "dataset": "DRIVE dataset", + "location": "Optic disk arteries branch into retinal vessels.", + "size": "Retinal blood vessels taper from large vessels at the optic disk to capillaries in the periphery.", + "trend_shape": "Vessels branch like trees, curving gently with varying tortuosity in smaller branches.", + "background": "Typical retinal texture with pigmentation and brightness variations.", + "image": "DRIVE/training/images/11img.png", + "caption": "High-res color fundus image of human retina; DRIVE dataset; Optic disk arteries branch into retinal vessels; Retinal blood vessels taper from large vessels at the optic disk to capillaries in the periphery; Vessels branch like trees, curving gently with varying tortuosity in smaller branches;" + }, + { + "overview": "High-resolution retinal image shows vascular structures and surrounding tissue.", + "dataset": "DRIVE dataset", + "location": "Blood vessels radiate outward from the optic disc, covering the retina.", + "size": "Center: denser, larger vessels; Periphery: finer, sparser vessels", + "trend_shape": "Retinal vessels range in size from large, optic disc-originating vessels to fine capillaries on the retinal periphery, branching outward in a tree-like pattern following retinal topography.", + "background": "Retinal surface with pigment variation, especially near macula.", + "image": "DRIVE/training/images/12img.png", + "caption": "High-resolution retinal image shows vascular structures and surrounding tissue; DRIVE dataset; Blood vessels radiate outward from the optic disc, covering the retina; Center: denser, larger vessels; Periphery: finer, sparser vessels; Retinal vessels range in size from large, optic disc-originating vessels to fine capillaries on the retinal periphery, branching outward in a tree-like pattern following retinal topography;" + }, + { + "overview": "Retinal fundus image with optic disc, macula, and vasculature", + "dataset": "DRIVE dataset", + "location": "Curvilinear vessels originate at the optic disc, branching across the retina.", + "size": "Curvilinear object (vessel) size varies", + "trend_shape": "Diverging tree-like vascular network with tortuous arteries and veins tapers from disc to periphery.", + "background": "Retinal surface appears orange to red, with optic disc as lighter patches and fovea/macula as darker regions.", + "image": "DRIVE/training/images/13img.png", + "caption": "Retinal fundus image with optic disc, macula, and vasculature; DRIVE dataset; Curvilinear vessels originate at the optic disc, branching across the retina; Curvilinear object (vessel) size varies; Diverging tree-like vascular network with tortuous arteries and veins tapers from disc to periphery;" + }, + { + "overview": "High-resolution fundus photo of eye's internal surface.", + "dataset": "DRIVE dataset", + "location": "Curvilinear vessels radiate from optic disc to retinal periphery.", + "size": "Vessel size varies, thickest near optic disc, thinning with branching.", + "trend_shape": "Complex, curvilinear vessels: larger straight, smaller curved; arteries bright and narrow, veins dark and wide; arteriovenous crossing present; tapering from optic nerve head.", + "background": "Retinal tissue with reddish-orange background, variations due to pigmentation, light, and shadows; lighter optic cup.", + "image": "DRIVE/training/images/14img.png", + "caption": "High-resolution fundus photo of eye's internal surface; DRIVE dataset; Curvilinear vessels radiate from optic disc to retinal periphery; Vessel size varies, thickest near optic disc, thinning with branching; Complex, curvilinear vessels: larger straight, smaller curved; arteries bright and narrow, veins dark and wide; arteriovenous crossing present; tapering from optic nerve head;" + }, + { + "overview": "Fundus photo of human retina with blood vessels, disc, and macula.", + "dataset": "DRIVE dataset", + "location": "Optic disc-originating blood vessels spread radially across the retina, branching peripherally.", + "size": "Vessel diameter decreases from central ~200 micrometer to peripheral <10 micrometer.", + "trend_shape": "Branching vessels: arteries light, narrow, defined; veins dark, wide; taper smoothly from optic disc.", + "background": "Orange-red background varies with pigmentation and blood flow", + "image": "DRIVE/training/images/15img.png", + "caption": "Fundus photo of human retina with blood vessels, disc, and macula; DRIVE dataset; Optic disc-originating blood vessels spread radially across the retina, branching peripherally; Vessel diameter decreases from central ~200 micrometer to peripheral <10 micrometer; Branching vessels: arteries light, narrow, defined; veins dark, wide; taper smoothly from optic disc;" + }, + { + "overview": "Fundus photo of eye's interior.", + "dataset": "DRIVE dataset", + "location": "Optic disc-originating retinal vessels branch peripherally.", + "size": "Central vessels taper into arterioles and venules ranging from micrometers to hundreds of micrometers.", + "trend_shape": "Tortuous, branching vessels radiate from the optic disc.", + "background": "Orange-pink background with darker retinal pigment epithelium and choroid.", + "image": "DRIVE/training/images/16img.png", + "caption": "Fundus photo of eye's interior; DRIVE dataset; Optic disc-originating retinal vessels branch peripherally; Central vessels taper into arterioles and venules ranging from micrometers to hundreds of micrometers; Tortuous, branching vessels radiate from the optic disc;" + }, + { + "overview": "Color fundus photo of human retina showing optic disc, macula, and blood vessels.", + "dataset": "DRIVE dataset", + "location": "Curvilinear vessels centered around optic disc, concentrated centrally and fanning peripherally.", + "size": "Vessel size tapers from large at optic disc to finer branches radially.", + "trend_shape": "Branching vessels with bifurcations follow retinal surface topography.", + "background": "Reddish-orange background with retinal pigmentation variations.", + "image": "DRIVE/training/images/17img.png", + "caption": "Color fundus photo of human retina showing optic disc, macula, and blood vessels; DRIVE dataset; Curvilinear vessels centered around optic disc, concentrated centrally and fanning peripherally; Vessel size tapers from large at optic disc to finer branches radially; Branching vessels with bifurcations follow retinal surface topography;" + }, + { + "overview": "Fundoscopic image of the eye interior.", + "dataset": "DRIVE dataset", + "location": "Retinal vessels radiate from the optic disc and branch throughout the retina.", + "size": "Central retinal vessels thicken near optic disc, tapering into finer branches peripherally.", + "trend_shape": "Tree-like vessels branch curvilinearly, bifurcating and intersecting to fit the retina's sphere.", + "background": "Reddish-orange retinal background.", + "image": "DRIVE/training/images/18img.png", + "caption": "Fundoscopic image of the eye interior; DRIVE dataset; Retinal vessels radiate from the optic disc and branch throughout the retina; Central retinal vessels thicken near optic disc, tapering into finer branches peripherally; Tree-like vessels branch curvilinearly, bifurcating and intersecting to fit the retina's sphere;" + }, + { + "overview": "Color fundus photo revealing retinal vessel network.", + "dataset": "DRIVE dataset", + "location": "Centralized vessels radiate outward from the optic disc, located center-right.", + "size": "Vessel calibers range from <100 micrometer to 100-180 micrometer (arterioles, venules).", + "trend_shape": "Branched vessels exhibit varying tortuosity with multiple bifurcations and curvilinear paths.", + "background": "Uniform orange-red background with variations, darker near macula.", + "image": "DRIVE/training/images/19img.png", + "caption": "Color fundus photo revealing retinal vessel network; DRIVE dataset; Centralized vessels radiate outward from the optic disc, located center-right; Vessel calibers range from <100 micrometer to 100-180 micrometer (arterioles, venules); Branched vessels exhibit varying tortuosity with multiple bifurcations and curvilinear paths;" + }, + { + "overview": "Retinal fundus photo shows vessels, optic disc, and macula.", + "dataset": "DRIVE dataset", + "location": "Curvilinear vessels branch from the optic disc, becoming sparser towards the periphery and denser around the macula.", + "size": "Retinal vessels range from central to peripheral, decreasing in size with each branch.", + "trend_shape": "Tortuous arterioles (light, narrow, linear) and venules (dark, wide, winding) exhibit complex crossing/bifurcation patterns.", + "background": "Retinal tissue displays smooth texture, orange to dark red hue gradient, with darker macula and lighter periphery.", + "image": "DRIVE/training/images/1img.png", + "caption": "Retinal fundus photo shows vessels, optic disc, and macula; DRIVE dataset; Curvilinear vessels branch from the optic disc, becoming sparser towards the periphery and denser around the macula; Retinal vessels range from central to peripheral, decreasing in size with each branch; Tortuous arterioles (light, narrow, linear) and venules (dark, wide, winding) exhibit complex crossing/bifurcation patterns;" + }, + { + "overview": "Fundus photo: Retina with optic disc and blood vessels.", + "dataset": "DRIVE dataset", + "location": "Optic disc blood vessels radiate outward.", + "size": "Vessel diameters range from central 100-200 micrometer to peripheral <10 micrometer capillaries.", + "trend_shape": "Blood vessels have a curved, branched structure with some looping vessels.", + "background": "Orange retinal background.", + "image": "DRIVE/training/images/2img.png", + "caption": "Fundus photo: Retina with optic disc and blood vessels; DRIVE dataset; Optic disc blood vessels radiate outward; Vessel diameters range from central 100-200 micrometer to peripheral <10 micrometer capillaries; Blood vessels have a curved, branched structure with some looping vessels;" + }, + { + "overview": "Retinal fundus photograph with detailed vessels and structures.", + "dataset": "DRIVE dataset", + "location": "Retinal vessels branch from the optic disc across the retina.", + "size": "Vessel diameter varies from larger near the optic disc to finer capillaries at periphery.", + "trend_shape": "Retinal vessels form an interconnected, branching network with curved and straight segments.", + "background": "Orange-pink retinal surface with pigmentation variations and central macula.", + "image": "DRIVE/training/images/3img.png", + "caption": "Retinal fundus photograph with detailed vessels and structures; DRIVE dataset; Retinal vessels branch from the optic disc across the retina; Vessel diameter varies from larger near the optic disc to finer capillaries at periphery; Retinal vessels form an interconnected, branching network with curved and straight segments;" + }, + { + "overview": "Color fundus image of human retina showing blood vessels and optic nerve.", + "dataset": "DRIVE dataset", + "location": "Radial vessels extend across all retinal quadrants, denser in the posterior pole.", + "size": "Vessels range from optic disc emergence to peripheral attenuation.", + "trend_shape": "Branching vessels: central retinal artery, vein to arterioles, venules form tree-like network", + "background": "Reddish-yellow retina with varying pigmentation.", + "image": "DRIVE/training/images/4img.png", + "caption": "Color fundus image of human retina showing blood vessels and optic nerve; DRIVE dataset; Radial vessels extend across all retinal quadrants, denser in the posterior pole; Vessels range from optic disc emergence to peripheral attenuation; Branching vessels: central retinal artery, vein to arterioles, venules form tree-like network;" + }, + { + "overview": "High-res retina image displaying blood vessel network, optic disc, and retinal tissue.", + "dataset": "DRIVE dataset", + "location": "Retinal vessels arborize from the optic disc towards the periphery.", + "size": "Curvilinear objects (vessels) range from large, thick optic disc vessels to fine, delicate retinal periphery branches.", + "trend_shape": "Curvilinear vessels form tree-like branches from the optic disc, creating a complex vascular network.", + "background": "Retinal tissue with pigmentation and light reflections appears orange-pinkish.", + "image": "DRIVE/training/images/5img.png", + "caption": "High-res retina image displaying blood vessel network, optic disc, and retinal tissue; DRIVE dataset; Retinal vessels arborize from the optic disc towards the periphery; Curvilinear objects (vessels) range from large, thick optic disc vessels to fine, delicate retinal periphery branches; Curvilinear vessels form tree-like branches from the optic disc, creating a complex vascular network;" + }, + { + "overview": "Fundus photo reveals retina's vascular network.", + "dataset": "DRIVE dataset", + "location": "Vessels distribute throughout retina, higher concentration near optic disc, branching outwards in arborescent pattern.", + "size": "Vessel diameters span from <0.2mm to 1.5mm.", + "trend_shape": "Vessels display linear/curving trajectories, varying thickness/brightness for blood flow/depth.", + "background": "Retinal tissue forms the background, with hues ranging from orange to red-brown, contrasting the vasculature.", + "image": "DRIVE/training/images/6img.png", + "caption": "Fundus photo reveals retina's vascular network; DRIVE dataset; Vessels distribute throughout retina, higher concentration near optic disc, branching outwards in arborescent pattern; Vessel diameters span from <0.2mm to 1.5mm; Vessels display linear/curving trajectories, varying thickness/brightness for blood flow/depth;" + }, + { + "overview": "Fundus image with complex vascular network.", + "dataset": "DRIVE dataset", + "location": "Vessels radiate from the optic disc across the retina.", + "size": "Vessel diameters vary, with retinal artery and vein largest, decreasing with branching.", + "trend_shape": "Tortuous vessels follow an arborized structure with varying curvatures and bifurcations.", + "background": "Retinal tissue with varying orange-pink hues and an optic disc.", + "image": "DRIVE/training/images/7img.png", + "caption": "Fundus image with complex vascular network; DRIVE dataset; Vessels radiate from the optic disc across the retina; Vessel diameters vary, with retinal artery and vein largest, decreasing with branching; Tortuous vessels follow an arborized structure with varying curvatures and bifurcations;" + }, + { + "overview": "Retinal fundus image displaying intricate blood vessel network.", + "dataset": "DRIVE dataset", + "location": "Central retinal vessels radiate from the optic disc.", + "size": "Vessels' size varies, with central retinal artery and vein the largest, narrowing to capillaries in periphery.", + "trend_shape": "Central reflex with arteriovenous crossing patterns; sinuous, arching vessels.", + "background": "Retinal tissue shows orange-red hues due to pigments and choroidal blood vessels.", + "image": "DRIVE/training/images/8img.png", + "caption": "Retinal fundus image displaying intricate blood vessel network; DRIVE dataset; Central retinal vessels radiate from the optic disc; Vessels' size varies, with central retinal artery and vein the largest, narrowing to capillaries in periphery; Central reflex with arteriovenous crossing patterns; sinuous, arching vessels;" + }, + { + "overview": "Retinal fundus photo reveals detailed vasculature and anatomy.", + "dataset": "DRIVE dataset", + "location": "Optic disc-centered blood vessels radiating across the retina, tapering toward the periphery.", + "size": "Retinal vessels vary in size, with central vessels largest and branching into smaller ones.", + "trend_shape": "Tortuous, branching, and crossing vessels; arterial vessels are brighter, narrower, and more reflective than venous vessels.", + "background": "Orange to dark gradient background with textured retinal tissue.", + "image": "DRIVE/training/images/9img.png", + "caption": "Retinal fundus photo reveals detailed vasculature and anatomy; DRIVE dataset; Optic disc-centered blood vessels radiating across the retina, tapering toward the periphery; Retinal vessels vary in size, with central vessels largest and branching into smaller ones; Tortuous, branching, and crossing vessels; arterial vessels are brighter, narrower, and more reflective than venous vessels;" + }, + { + "overview": "B/W semantic map of retinal vasculature (GT for identifying vessel structures)", + "dataset": "DRIVE dataset", + "location": "Central semantic map encompasses most image, focusing on central retina where vessels diverge.", + "size": "Semantic map resolution matches image, depicting detailed vasculature with varied widths and branching patterns.", + "trend_shape": "Branching tree-like vascular structure from optic disc bifurcates into finer branches, adapting to retinal surface constraints.", + "image": "DRIVE/training/annotations/0gt.png", + "caption": "B/W semantic map of retinal vasculature (GT for identifying vessel structures); DRIVE dataset; Central semantic map encompasses most image, focusing on central retina where vessels diverge; Semantic map resolution matches image, depicting detailed vasculature with varied widths and branching patterns; Branching tree-like vascular structure from optic disc bifurcates into finer branches, adapting to retinal surface constraints;" + }, + { + "overview": "High-contrast B/W semantic map of retinal vascular structure for feature extraction GT.", + "dataset": "DRIVE dataset", + "location": "Central semantic map with main vessel radiating outward.", + "size": "Semantic map spans entire field of view with thin, elongated lines representing variable-sized vessels.", + "trend_shape": "Semantic map mimics retinal blood vessels: thick central vessel branches radially, curving slightly, resembling a tree.", + "image": "DRIVE/training/annotations/10gt.png", + "caption": "High-contrast B/W semantic map of retinal vascular structure for feature extraction GT; DRIVE dataset; Central semantic map with main vessel radiating outward; Semantic map spans entire field of view with thin, elongated lines representing variable-sized vessels; Semantic map mimics retinal blood vessels: thick central vessel branches radially, curving slightly, resembling a tree;" + }, + { + "overview": "B&W image of retinal vessels as white curves on black background.", + "dataset": "DRIVE dataset", + "location": "Central semantic map covers almost entire image.", + "size": "Large semantic map (584x565) covering entire image", + "trend_shape": "Branching vessels radiate from the optic disc, varying in thickness and forming networks.", + "image": "DRIVE/training/annotations/11gt.png", + "caption": "B&W image of retinal vessels as white curves on black background; DRIVE dataset; Central semantic map covers almost entire image; Large semantic map (584x565) covering entire image; Branching vessels radiate from the optic disc, varying in thickness and forming networks;" + }, + { + "overview": "Semantic map (GT) of retinal blood vessels.", + "dataset": "DRIVE dataset", + "location": "Centered semantic map shows optic disc and vessels radiating outward.", + "size": "Semantic map resolution: 512x512 pixels", + "trend_shape": "Fractal arborization of vessels originates and bifurcates from the optic disc, forming a complex vascular network.", + "image": "DRIVE/training/annotations/12gt.png", + "caption": "Semantic map (GT) of retinal blood vessels; DRIVE dataset; Centered semantic map shows optic disc and vessels radiating outward; Semantic map resolution: 512x512 pixels; Fractal arborization of vessels originates and bifurcates from the optic disc, forming a complex vascular network;" + }, + { + "overview": "BW semantic map of retinal blood network (GT image)", + "dataset": "DRIVE dataset", + "location": "Semantic map fills black background.", + "size": "Vessel diameters range from arteries/veins near optic disc to capillaries peripherally", + "trend_shape": "Branching blood vessels with varying widths radiate outward from a central point.", + "image": "DRIVE/training/annotations/13gt.png", + "caption": "BW semantic map of retinal blood network (GT image); DRIVE dataset; Semantic map fills black background; Vessel diameters range from arteries/veins near optic disc to capillaries peripherally; Branching blood vessels with varying widths radiate outward from a central point;" + }, + { + "overview": "Black-white semantic map: vascular network ground truth for retinal image", + "dataset": "DRIVE dataset", + "location": "Semantic map central, covering most of image.", + "size": "Semantic map matches image size, indicating high-res ground truth covering entire canvas.", + "trend_shape": "Semantic map exhibits fractal branching of retinal vessels, radiating from optic disc like natural vasculature.", + "image": "DRIVE/training/annotations/14gt.png", + "caption": "Black-white semantic map: vascular network ground truth for retinal image; DRIVE dataset; Semantic map central, covering most of image; Semantic map matches image size, indicating high-res ground truth covering entire canvas; Semantic map exhibits fractal branching of retinal vessels, radiating from optic disc like natural vasculature;" + }, + { + "overview": "Semantic GT retinal vessel network map", + "dataset": "DRIVE dataset", + "location": "Central semantic map with vessels diverging from a central optic disc-like point.", + "size": "Semantic map encompasses image field, showcasing detailed retinal vessel layout", + "trend_shape": "Semantic map branches of vessels, from arterioles to venules, curvilinear, thicker near center, tapering at periphery.", + "image": "DRIVE/training/annotations/15gt.png", + "caption": "Semantic GT retinal vessel network map; DRIVE dataset; Central semantic map with vessels diverging from a central optic disc-like point; Semantic map encompasses image field, showcasing detailed retinal vessel layout; Semantic map branches of vessels, from arterioles to venules, curvilinear, thicker near center, tapering at periphery;" + }, + { + "overview": "High-contrast BW semantic map highlights retinal vessel structure (GT for image analysis)", + "dataset": "DRIVE dataset", + "location": "Central vessels occupy two-thirds of image with main arches originating right of central axis.", + "size": "Vessel size varies from thick to thin in a map likely preserving DRIVE's 584x565 pixel resolution.", + "trend_shape": "Vascular structure branches outward from a central point, with varying angles and a tree-like shape.", + "image": "DRIVE/training/annotations/16gt.png", + "caption": "High-contrast BW semantic map highlights retinal vessel structure (GT for image analysis); DRIVE dataset; Central vessels occupy two-thirds of image with main arches originating right of central axis; Vessel size varies from thick to thin in a map likely preserving DRIVE's 584x565 pixel resolution; Vascular structure branches outward from a central point, with varying angles and a tree-like shape;" + }, + { + "overview": "GT black and white semantic map of retinal vessels.", + "dataset": "DRIVE dataset", + "location": "Central vessels occupy most of the image, focusing on the central retina to the periphery.", + "size": "Full DRIVE dataset size: 584x565 pixels", + "trend_shape": "Retinal map shows a complex, tortuous network of branching vessels radiating from a central point.", + "image": "DRIVE/training/annotations/17gt.png", + "caption": "GT black and white semantic map of retinal vessels; DRIVE dataset; Central vessels occupy most of the image, focusing on the central retina to the periphery; Full DRIVE dataset size: 584x565 pixels; Retinal map shows a complex, tortuous network of branching vessels radiating from a central point;" + }, + { + "overview": "B&W semantic map representing ground truth for curvilinear vessel objects.", + "dataset": "DRIVE dataset", + "location": "Central map dominates image space.", + "size": "Map size scales proportionally to image, with curvilinear structures varying in width.", + "trend_shape": "Curvilinear structures radiate from central area with bifurcations, forming a vascular-like network of varying vessel widths.", + "image": "DRIVE/training/annotations/18gt.png", + "caption": "B&W semantic map representing ground truth for curvilinear vessel objects; DRIVE dataset; Central map dominates image space; Map size scales proportionally to image, with curvilinear structures varying in width; Curvilinear structures radiate from central area with bifurcations, forming a vascular-like network of varying vessel widths;" + }, + { + "overview": "Semantic map (GT) of retinal blood vessels.", + "dataset": "DRIVE dataset", + "location": "Semantic map densely occupies the entire image, becoming sparser towards the periphery.", + "size": "Semantic map size aligns with DRIVE dataset's standard resolution (584x565 pixels).", + "trend_shape": "Semantic map resembles branching tree-like vasculature with varying vessel diameters, curvature, and angles, mimicking retinal topography.", + "image": "DRIVE/training/annotations/19gt.png", + "caption": "Semantic map (GT) of retinal blood vessels; DRIVE dataset; Semantic map densely occupies the entire image, becoming sparser towards the periphery; Semantic map size aligns with DRIVE dataset's standard resolution (584x565 pixels); Semantic map resembles branching tree-like vasculature with varying vessel diameters, curvature, and angles, mimicking retinal topography;" + }, + { + "overview": "GT map: thin, curvilinear retinal blood vessels on black", + "dataset": "DRIVE dataset", + "location": "Central semantic map with vessels spanning image.", + "size": "Semantic map size matches image dimensions (584x565 pixels in DRIVE).", + "trend_shape": "Complex branching vessels with varying thickness taper from optic disc towards periphery, depicting detailed retinal vasculature including bifurcations and crossovers.", + "image": "DRIVE/training/annotations/1gt.png", + "caption": "GT map: thin, curvilinear retinal blood vessels on black; DRIVE dataset; Central semantic map with vessels spanning image; Semantic map size matches image dimensions (584x565 pixels in DRIVE); Complex branching vessels with varying thickness taper from optic disc towards periphery, depicting detailed retinal vasculature including bifurcations and crossovers;" + }, + { + "overview": "GT retinal vessel map", + "dataset": "DRIVE dataset", + "location": "Central GT dominates canvas with ample margins.", + "size": "High-contrast GT with white curvilinear structures on black background.", + "trend_shape": "Tree-like branched vessels extend from central disc.", + "image": "DRIVE/training/annotations/2gt.png", + "caption": "GT retinal vessel map; DRIVE dataset; Central GT dominates canvas with ample margins; High-contrast GT with white curvilinear structures on black background; Tree-like branched vessels extend from central disc;" + }, + { + "overview": "Semantic map (GT) illustrates vascular structure as curvilinear objects.", + "dataset": "DRIVE dataset", + "location": "Centralized semantic map shows vascular network concentrated centrally, spreading peripherally.", + "size": "Semantic map size conforms to DRIVE dataset standard, filling the entire frame.", + "trend_shape": "Semantic map includes thicker primary vessels and finer secondary/tertiary branches; vessel shape varies from straight to tortuous.", + "image": "DRIVE/training/annotations/3gt.png", + "caption": "Semantic map (GT) illustrates vascular structure as curvilinear objects; DRIVE dataset; Centralized semantic map shows vascular network concentrated centrally, spreading peripherally; Semantic map size conforms to DRIVE dataset standard, filling the entire frame; Semantic map includes thicker primary vessels and finer secondary/tertiary branches; vessel shape varies from straight to tortuous;" + }, + { + "overview": "High-contrast GT semantic map of retinal vessel network", + "dataset": "DRIVE dataset", + "location": "Retinal vessel map: central, radiates outward from optic disc with tree-like branching.", + "size": "Semantic map size aligns with DRIVE dataset images (central/mid-peripheral retina).", + "trend_shape": "Curvilinear vascular network resembles tree branches with varying vessel thickness.", + "image": "DRIVE/training/annotations/4gt.png", + "caption": "High-contrast GT semantic map of retinal vessel network; DRIVE dataset; Retinal vessel map: central, radiates outward from optic disc with tree-like branching; Semantic map size aligns with DRIVE dataset images (central/mid-peripheral retina); Curvilinear vascular network resembles tree branches with varying vessel thickness;" + }, + { + "overview": "High-contrast BW semantic map represents vessel structure in retinal image (GT for vessel segmentation)", + "dataset": "DRIVE dataset", + "location": "Semantic map occupies the whole image field.", + "size": "Semantic map matches image dimensions, detailing vessel paths with varying thicknesses.", + "trend_shape": "Semantic map mirrors retinal blood vessel arborization with branching vessels radiating from optic disc.", + "image": "DRIVE/training/annotations/5gt.png", + "caption": "High-contrast BW semantic map represents vessel structure in retinal image (GT for vessel segmentation); DRIVE dataset; Semantic map occupies the whole image field; Semantic map matches image dimensions, detailing vessel paths with varying thicknesses; Semantic map mirrors retinal blood vessel arborization with branching vessels radiating from optic disc;" + }, + { + "overview": "BW semantic map for retinal vasculature (GT for vessel segmentation)", + "dataset": "DRIVE dataset", + "location": "Semantic map exhibits curvilinear vessels across image, originating from central optic disc.", + "size": "Semantic map size matches DRIVE dataset image resolution (584x565 pixels).", + "trend_shape": "Semantic map branching pattern shows varying calibers: thick, gently curving major vessels and tapered, acutely branching finer branches.", + "image": "DRIVE/training/annotations/6gt.png", + "caption": "BW semantic map for retinal vasculature (GT for vessel segmentation); DRIVE dataset; Semantic map exhibits curvilinear vessels across image, originating from central optic disc; Semantic map size matches DRIVE dataset image resolution (584x565 pixels); Semantic map branching pattern shows varying calibers: thick, gently curving major vessels and tapered, acutely branching finer branches;" + }, + { + "overview": "Retinal vessel map (GT): contrasting white lines on black background.", + "dataset": "DRIVE dataset", + "location": "Semantic map centered, main vascular structure in central region, smaller branches peripherally.", + "size": "Semantic map fills image space with varying vascular thicknesses", + "trend_shape": "Central branching from an optical disk root, forming a curvilinear network with progressively finer vessels outward, mimicking a biological vasculature hierarchy.", + "image": "DRIVE/training/annotations/7gt.png", + "caption": "Retinal vessel map (GT): contrasting white lines on black background; DRIVE dataset; Semantic map centered, main vascular structure in central region, smaller branches peripherally; Semantic map fills image space with varying vascular thicknesses; Central branching from an optical disk root, forming a curvilinear network with progressively finer vessels outward, mimicking a biological vasculature hierarchy;" + }, + { + "overview": "Semantic map of retinal vascular network.", + "dataset": "DRIVE dataset", + "location": "Central semantic map occupies most image space with dense central vessels and sparse periphery.", + "size": "Semantic map matches image resolution, covering the full image.", + "trend_shape": "Branched tree-like vessels with a thick central optic disc dividing into thinner vessels extending outward.", + "image": "DRIVE/training/annotations/8gt.png", + "caption": "Semantic map of retinal vascular network; DRIVE dataset; Central semantic map occupies most image space with dense central vessels and sparse periphery; Semantic map matches image resolution, covering the full image; Branched tree-like vessels with a thick central optic disc dividing into thinner vessels extending outward;" + }, + { + "overview": "Retinal blood vessel semantic map (GT image)", + "dataset": "DRIVE dataset", + "location": "Centralized semantic map covers most of image, lines converge center-right.", + "size": "Semantic map occupies most of the canvas with minimal margins.", + "trend_shape": "Curvilinear semantic map objects radiate from a center resembling a branched river network, with varying thicknesses indicating vessel size.", + "image": "DRIVE/training/annotations/9gt.png", + "caption": "Retinal blood vessel semantic map (GT image); DRIVE dataset; Centralized semantic map covers most of image, lines converge center-right; Semantic map occupies most of the canvas with minimal margins; Curvilinear semantic map objects radiate from a center resembling a branched river network, with varying thicknesses indicating vessel size;" + }, + { + "overview": "High-res fundus photo of human retina", + "dataset": "DRIVE dataset", + "location": "Optic disc vessels branch radially, densest near the disc.", + "size": "Retinal vessels range from thick central arteries/veins to fine peripheral capillaries.", + "trend_shape": "Arboreal vessels transition from straight to tortuous, forming a fractal network.", + "background": "Red-orange background with retinal and choroidal variations.", + "image": "DRIVE/test/images/0img.png", + "caption": "High-res fundus photo of human retina; DRIVE dataset; Optic disc vessels branch radially, densest near the disc; Retinal vessels range from thick central arteries/veins to fine peripheral capillaries; Arboreal vessels transition from straight to tortuous, forming a fractal network;" + }, + { + "overview": "Fundus photograph of eye's interior surface.", + "dataset": "DRIVE dataset", + "location": "Prominent curvilinear blood vessels radiate from the nasal optic disc to the retinal periphery.", + "size": "Retinal vessels range from thick vessels at the optic disc to thin branches spanning the retina, measuring 100-150 microns and 10-20 microns respectively.", + "trend_shape": "Arborized vessels branch hierarchically from the optic disc, tapering along tortuous pathways to the retinal periphery.", + "background": "Retina shows orange-pink hue with darker fovea and lighter optic disc.", + "image": "DRIVE/test/images/10img.png", + "caption": "Fundus photograph of eye's interior surface; DRIVE dataset; Prominent curvilinear blood vessels radiate from the nasal optic disc to the retinal periphery; Retinal vessels range from thick vessels at the optic disc to thin branches spanning the retina, measuring 100-150 microns and 10-20 microns respectively; Arborized vessels branch hierarchically from the optic disc, tapering along tortuous pathways to the retinal periphery;" + }, + { + "overview": "Detailed human retinal fundus photograph", + "dataset": "DRIVE dataset", + "location": "Retinal vessels branch from optic disc to periphery.", + "size": "Vessel diameters range from broad near disc to fine, near-invisible capillaries.", + "trend_shape": "Vessel hierarchy displays smooth branching, bifurcating, and tapering with color variations (arterioles: bright red, venules: dark red/purple).", + "background": "Retinal pigment epithelium exhibits orange-red hue with pigmentation variations near vessels.", + "image": "DRIVE/test/images/11img.png", + "caption": "Detailed human retinal fundus photograph; DRIVE dataset; Retinal vessels branch from optic disc to periphery; Vessel diameters range from broad near disc to fine, near-invisible capillaries; Vessel hierarchy displays smooth branching, bifurcating, and tapering with color variations (arterioles: bright red, venules: dark red/purple);" + }, + { + "overview": "Fundus photo with blood vessel network", + "dataset": "DRIVE dataset", + "location": "Retinal vessels concentrate around optic disc, branching tree-like outwards.", + "size": "Vessel diameters range from large near optic disc to fine capillaries peripherally.", + "trend_shape": "Vessels' curvy, interconnected path branches, crosses, forms arcades, and tapers towards retina's edge.", + "background": "Reddish-orange background with texture variations.", + "image": "DRIVE/test/images/12img.png", + "caption": "Fundus photo with blood vessel network; DRIVE dataset; Retinal vessels concentrate around optic disc, branching tree-like outwards; Vessel diameters range from large near optic disc to fine capillaries peripherally; Vessels' curvy, interconnected path branches, crosses, forms arcades, and tapers towards retina's edge;" + }, + { + "overview": "Fundus photo reveals human eye's vascular network.", + "dataset": "DRIVE dataset", + "location": "Retinal vessels radiate from optic disc.", + "size": "Vessel diameters range from arteries/veins near optic disc to capillaries peripherally.", + "trend_shape": "Arteries are lighter and narrower, while veins are darker and wider.", + "background": "Orange-pink background with retinal and choroid pigmentation variations.", + "image": "DRIVE/test/images/13img.png", + "caption": "Fundus photo reveals human eye's vascular network; DRIVE dataset; Retinal vessels radiate from optic disc; Vessel diameters range from arteries/veins near optic disc to capillaries peripherally; Arteries are lighter and narrower, while veins are darker and wider;" + }, + { + "overview": "Retinal image showing central and peripheral retina.", + "dataset": "DRIVE dataset", + "location": "Vessels originate from the optic disc, branching radially and bifurcating in the retina.", + "size": "Retinal vessels range from 100-150 micrometer central to 10-20 micrometer arterioles.", + "trend_shape": "Vessels exhibit a tree-like branching pattern with varying tortuosity.", + "background": "Red-orange retina with dark choroid layer around pale optic disc.", + "image": "DRIVE/test/images/14img.png", + "caption": "Retinal image showing central and peripheral retina; DRIVE dataset; Vessels originate from the optic disc, branching radially and bifurcating in the retina; Retinal vessels range from 100-150 micrometer central to 10-20 micrometer arterioles; Vessels exhibit a tree-like branching pattern with varying tortuosity;" + }, + { + "overview": "Retinal fundus image with central and peripheral vasculature", + "dataset": "DRIVE dataset", + "location": "Radiating retinal vessels bifurcate and narrow peripherally.", + "size": "Blood vessels vary in size from larger near disc to finer capillaries peripherally.", + "trend_shape": "Branched vessels form a reticulated network with arteriovenous crossings, tapering outwards.", + "background": "Reddish-orange background with retinal pigmentation variations.", + "image": "DRIVE/test/images/15img.png", + "caption": "Retinal fundus image with central and peripheral vasculature; DRIVE dataset; Radiating retinal vessels bifurcate and narrow peripherally; Blood vessels vary in size from larger near disc to finer capillaries peripherally; Branched vessels form a reticulated network with arteriovenous crossings, tapering outwards;" + }, + { + "overview": "Retina image with blood vessels and anatomy.", + "dataset": "DRIVE dataset", + "location": "Vessels originate from optic disc, spreading across retina.", + "size": "Retinal vessels branch from largest (artery, vein) to finest (capillaries).", + "trend_shape": "Retinal vessels form an arborized network with brighter arterioles and darker venules.", + "background": "Reddish-orange retinal background.", + "image": "DRIVE/test/images/16img.png", + "caption": "Retina image with blood vessels and anatomy; DRIVE dataset; Vessels originate from optic disc, spreading across retina; Retinal vessels branch from largest (artery, vein) to finest (capillaries); Retinal vessels form an arborized network with brighter arterioles and darker venules;" + }, + { + "overview": "High-res fundus photo of retina with visible vascular branching.", + "dataset": "DRIVE dataset", + "location": "Vessels radiate from optic disc with distributed branching.", + "size": "Vessel diameters vary with central artery retinas & vein widest near optic disc, tapering towards periphery.", + "trend_shape": "Branching blood vessels crisscross the retina, arterioles brighter and narrower, venules darker and wider.", + "background": "Orange-pink background with variations representing retinal pigment epithelium and choroid.", + "image": "DRIVE/test/images/17img.png", + "caption": "High-res fundus photo of retina with visible vascular branching; DRIVE dataset; Vessels radiate from optic disc with distributed branching; Vessel diameters vary with central artery retinas & vein widest near optic disc, tapering towards periphery; Branching blood vessels crisscross the retina, arterioles brighter and narrower, venules darker and wider;" + }, + { + "overview": "Retinal fundus imaging", + "dataset": "DRIVE dataset", + "location": "Optic disc-centric blood vessels radiate outward.", + "size": "Vessel diameters range from under 100 microns to 200 microns.", + "trend_shape": "Vessels branch, with arterioles brighter and narrower, venules darker and wider.", + "background": "Uniform reddish-orange background with darker macula and light-reflective optic disc.", + "image": "DRIVE/test/images/18img.png", + "caption": "Retinal fundus imaging; DRIVE dataset; Optic disc-centric blood vessels radiate outward; Vessel diameters range from under 100 microns to 200 microns; Vessels branch, with arterioles brighter and narrower, venules darker and wider;" + }, + { + "overview": "Fundus photograph of the retina, vessels, optic disc, and macula.", + "dataset": "DRIVE dataset", + "location": "Retinal vessels are concentrated around the optic disc, branching towards the periphery.", + "size": "Vessel size varies, with central retinal artery and vein largest, tapering radially.", + "trend_shape": "Branching vessels (arterioles narrower/lighter, venules wider/darker).", + "background": "Reddish-orange choroidal background", + "image": "DRIVE/test/images/19img.png", + "caption": "Fundus photograph of the retina, vessels, optic disc, and macula; DRIVE dataset; Retinal vessels are concentrated around the optic disc, branching towards the periphery; Vessel size varies, with central retinal artery and vein largest, tapering radially; Branching vessels (arterioles narrower/lighter, venules wider/darker);" + }, + { + "overview": "Fundus photo of the eye's interior.", + "dataset": "DRIVE dataset", + "location": "Curvilinear vessels emanate from the optic disc to arborize the retina.", + "size": "Retinal vessels decrease in caliber from center to periphery.", + "trend_shape": "Arching vessels with bifurcations and smooth bends, straighter near the optic disc, more tortuous peripherally.", + "background": "Retina: light orange to red, paler optic disc, darker reddish macula.", + "image": "DRIVE/test/images/1img.png", + "caption": "Fundus photo of the eye's interior; DRIVE dataset; Curvilinear vessels emanate from the optic disc to arborize the retina; Retinal vessels decrease in caliber from center to periphery; Arching vessels with bifurcations and smooth bends, straighter near the optic disc, more tortuous peripherally;" + }, + { + "overview": "Retinal fundus image with optic disc and vasculature.", + "dataset": "DRIVE dataset", + "location": "Retinal vessels radiate from optic disc, denser centrally.", + "size": "Retinal vessels decrease in size as they extend peripherally, with largest at optic disc.", + "trend_shape": "Branching, curving vessels with bifurcations and trifurcations.", + "background": "Retinal pigment varies in hue, with a central macula and darker periphery.", + "image": "DRIVE/test/images/2img.png", + "caption": "Retinal fundus image with optic disc and vasculature; DRIVE dataset; Retinal vessels radiate from optic disc, denser centrally; Retinal vessels decrease in size as they extend peripherally, with largest at optic disc; Branching, curving vessels with bifurcations and trifurcations;" + }, + { + "overview": "Retinal photograph of optic disc and vasculature.", + "dataset": "DRIVE dataset", + "location": "Curvilinear vessels radiate from the optic disc, thinning with distance.", + "size": "Vessel calibers span large to fine, with varying visibility.", + "trend_shape": "Major vessels near the optic disc, around 100-200 microns wide, taper radially and form a branching tree-like structure with bifurcations, mirroring arterial and venous systems.", + "background": "Orange-pink retina with RPE variations.", + "image": "DRIVE/test/images/3img.png", + "caption": "Retinal photograph of optic disc and vasculature; DRIVE dataset; Curvilinear vessels radiate from the optic disc, thinning with distance; Vessel calibers span large to fine, with varying visibility; Major vessels near the optic disc, around 100-200 microns wide, taper radially and form a branching tree-like structure with bifurcations, mirroring arterial and venous systems;" + }, + { + "overview": "Retina image with blood vessels and optic disc.", + "dataset": "DRIVE dataset", + "location": "Curvilinear vessels radiate from nasal optic disc throughout retina.", + "size": "Vessel caliber varies progressively from large at optic disc to fine at periphery.", + "trend_shape": "Curvilinear vessels branch from the optic disc, resembling a tree with varying angles.", + "background": "Orange to dark retinal fundus gradient contrasts vasculature.", + "image": "DRIVE/test/images/4img.png", + "caption": "Retina image with blood vessels and optic disc; DRIVE dataset; Curvilinear vessels radiate from nasal optic disc throughout retina; Vessel caliber varies progressively from large at optic disc to fine at periphery; Curvilinear vessels branch from the optic disc, resembling a tree with varying angles;" + }, + { + "overview": "Fundus photography of the retina reveals vascular structures.", + "dataset": "DRIVE dataset", + "location": "Optic disc vessels radiate peripherally, branching and crossing.", + "size": "Retinal vessels range from 100-300 micrometers for larger to <100 micrometers for finer.", + "trend_shape": "Tortuous vessels with lighter, narrower arterioles and darker, wider venules taper from optic disc; venous pulsation may be present.", + "background": "Retinal pigmented epithelium and choroid background with consistent texture and orange-pink hue, featuring darker macula near center.", + "image": "DRIVE/test/images/5img.png", + "caption": "Fundus photography of the retina reveals vascular structures; DRIVE dataset; Optic disc vessels radiate peripherally, branching and crossing; Retinal vessels range from 100-300 micrometers for larger to <100 micrometers for finer; Tortuous vessels with lighter, narrower arterioles and darker, wider venules taper from optic disc; venous pulsation may be present;" + }, + { + "overview": "High-res retinal image of eye vasculature and anatomy", + "dataset": "DRIVE dataset", + "location": "Curvilinear vessels radiate from the optic disc, denser superiorly and inferiorly.", + "size": "Vessel diameter varies from <50 micrometer to ~150 micrometer with size.", + "trend_shape": "Optic disc-originating vessels show branching; arterioles (lighter, narrower) vs. venules (darker, wider), tortuous with peripheral tapering.", + "background": "Reddish-orange background with hue and lightness variations reflecting underlying layers.", + "image": "DRIVE/test/images/6img.png", + "caption": "High-res retinal image of eye vasculature and anatomy; DRIVE dataset; Curvilinear vessels radiate from the optic disc, denser superiorly and inferiorly; Vessel diameter varies from <50 micrometer to ~150 micrometer with size; Optic disc-originating vessels show branching; arterioles (lighter, narrower) vs. venules (darker, wider), tortuous with peripheral tapering;" + }, + { + "overview": "Eye fundus photo displaying retinal structure, disc, vessels", + "dataset": "DRIVE dataset", + "location": "Retinal blood vessels branch from the optic disc towards the periphery.", + "size": "Retinal vessels taper from central to peripheral.", + "trend_shape": "Curvilinear vessels intertwine; arterial vessels are lighter and narrower than venous vessels, and both bifurcate and cross along the retina.", + "background": "Red-orange background with retinal and choroidal variations.", + "image": "DRIVE/test/images/7img.png", + "caption": "Eye fundus photo displaying retinal structure, disc, vessels; DRIVE dataset; Retinal blood vessels branch from the optic disc towards the periphery; Retinal vessels taper from central to peripheral; Curvilinear vessels intertwine; arterial vessels are lighter and narrower than venous vessels, and both bifurcate and cross along the retina;" + }, + { + "overview": "Retinal structure photograph with optic disc and blood vessels.", + "dataset": "DRIVE dataset", + "location": "Central optic disc gives rise to radial vessels covering the image.", + "size": "Vessels vary in width: central retinal artery and vein thickest, tapering to finer arterioles and venules peripherally", + "trend_shape": "Arteries: lighter red, narrower; Veins: wider, darker red; Both: tortuous, branching, some crossings.", + "background": "Reddish-orange background with retinal pigment epithelium variations", + "image": "DRIVE/test/images/8img.png", + "caption": "Retinal structure photograph with optic disc and blood vessels; DRIVE dataset; Central optic disc gives rise to radial vessels covering the image; Vessels vary in width: central retinal artery and vein thickest, tapering to finer arterioles and venules peripherally; Arteries: lighter red, narrower; Veins: wider, darker red; Both: tortuous, branching, some crossings;" + }, + { + "overview": "Retinal fundus image showcasing vasculature and tissue.", + "dataset": "DRIVE dataset", + "location": "Vessels radiate from the optic disc to the periphery, with varying branching complexity.", + "size": "Vessels size from large retinal arteries/veins to finer arterioles/venules, decreasing with distance from optic disc.", + "trend_shape": "Branching vessels tapering in caliber with smooth, varying curvature and bifurcations.", + "background": "Pink-to-orange retinal background with central optic disc and foveal shadow.", + "image": "DRIVE/test/images/9img.png", + "caption": "Retinal fundus image showcasing vasculature and tissue; DRIVE dataset; Vessels radiate from the optic disc to the periphery, with varying branching complexity; Vessels size from large retinal arteries/veins to finer arterioles/venules, decreasing with distance from optic disc; Branching vessels tapering in caliber with smooth, varying curvature and bifurcations;" + }, + { + "overview": "B&W semantic map of retinal vasculature annotation", + "dataset": "DRIVE dataset", + "location": "Central semantic map depicts detailed retinal vessels.", + "size": "Semantic map matches full image, depicting retinal vessel distribution.", + "trend_shape": "Fractal network of branching vessels from central optic disc, mimicking natural retinal anatomy.", + "image": "DRIVE/test/annotations/0gt.png", + "caption": "B&W semantic map of retinal vasculature annotation; DRIVE dataset; Central semantic map depicts detailed retinal vessels; Semantic map matches full image, depicting retinal vessel distribution; Fractal network of branching vessels from central optic disc, mimicking natural retinal anatomy;" + }, + { + "overview": "Binary semantic map (GT) of retinal vessel curvatures", + "dataset": "DRIVE dataset", + "location": "Central map focuses on central retinal area, periphery less dense.", + "size": "Symmetric square image, consistent with DRIVE dataset sizes (584x565 pixels)", + "trend_shape": "Retinal vasculature's branching, arborescent semantic map originates at the optic disc, radiating outward in a dendritic pattern.", + "image": "DRIVE/test/annotations/10gt.png", + "caption": "Binary semantic map (GT) of retinal vessel curvatures; DRIVE dataset; Central map focuses on central retinal area, periphery less dense; Symmetric square image, consistent with DRIVE dataset sizes (584x565 pixels); Retinal vasculature's branching, arborescent semantic map originates at the optic disc, radiating outward in a dendritic pattern;" + }, + { + "overview": "B&W semantic map: GT image for curvilinear retinal vessel segmentation", + "dataset": "DRIVE dataset", + "location": "Centralized semantic map with dense vessel network originating from optic disc-like structure at upper left.", + "size": "Full-frame semantic map with no cropping or border artifacts.", + "trend_shape": "The semantic map radiates from top left with primary and secondary vessels, imitating retinal blood vessels.", + "image": "DRIVE/test/annotations/11gt.png", + "caption": "B&W semantic map: GT image for curvilinear retinal vessel segmentation; DRIVE dataset; Centralized semantic map with dense vessel network originating from optic disc-like structure at upper left; Full-frame semantic map with no cropping or border artifacts; The semantic map radiates from top left with primary and secondary vessels, imitating retinal blood vessels;" + }, + { + "overview": "B&W semantic map (GT) of a retinal vascular network", + "dataset": "DRIVE dataset", + "location": "Semantic map overlays entire image.", + "size": "Semantic map size matches image resolution (512x512 pixels).", + "trend_shape": "Curvilinear structures resembling retinal vasculature radiate from a central area.", + "image": "DRIVE/test/annotations/12gt.png", + "caption": "B&W semantic map (GT) of a retinal vascular network; DRIVE dataset; Semantic map overlays entire image; Semantic map size matches image resolution (512x512 pixels); Curvilinear structures resembling retinal vasculature radiate from a central area;" + }, + { + "overview": "Binary semantic map of retinal vessels (GT), with white lines on black.", + "dataset": "DRIVE dataset", + "location": "Centrally located semantic map extends to all image edges, with most curvilinear structures in the center and fewer towards the periphery.", + "size": "Semantic map size aligns with DRIVE dataset.", + "trend_shape": "Semantic map reveals retinal vascular tree with central optic disc, vessels bifurcating to form dense network, thicker vessels near optic disc, finer branches toward periphery, arborized pattern typical of retinal vasculature.", + "image": "DRIVE/test/annotations/13gt.png", + "caption": "Binary semantic map of retinal vessels (GT), with white lines on black; DRIVE dataset; Centrally located semantic map extends to all image edges, with most curvilinear structures in the center and fewer towards the periphery; Semantic map size aligns with DRIVE dataset; Semantic map reveals retinal vascular tree with central optic disc, vessels bifurcating to form dense network, thicker vessels near optic disc, finer branches toward periphery, arborized pattern typical of retinal vasculature;" + }, + { + "overview": "Image shows a high-contrast semantic map (ground truth) of curvilinear vascular structures in a retina.", + "dataset": "DRIVE dataset", + "location": "Central optic disc vessels radiate outward.", + "size": "Semantic map matches image size, covering the full arborized vascular network.", + "trend_shape": "Vessel branches from central to peripheral, resembling a dendritic retinal pattern.", + "image": "DRIVE/test/annotations/14gt.png", + "caption": "Image shows a high-contrast semantic map (ground truth) of curvilinear vascular structures in a retina; DRIVE dataset; Central optic disc vessels radiate outward; Semantic map matches image size, covering the full arborized vascular network; Vessel branches from central to peripheral, resembling a dendritic retinal pattern;" + }, + { + "overview": "Retinal vessel map (GT) captures curvilinear vessel network.", + "dataset": "DRIVE dataset", + "location": "Centralized semantic map covers most of image with dense network area off-center top right.", + "size": "High-contrast binary vessel map with white vessels on black background.", + "trend_shape": "Vessel thickness decreases and density diminishes radially from central disc to periphery.", + "image": "DRIVE/test/annotations/15gt.png", + "caption": "Retinal vessel map (GT) captures curvilinear vessel network; DRIVE dataset; Centralized semantic map covers most of image with dense network area off-center top right; High-contrast binary vessel map with white vessels on black background; Vessel thickness decreases and density diminishes radially from central disc to periphery;" + }, + { + "overview": "Black and white semantic map depicting retinal vessel structures;", + "dataset": "DRIVE dataset;", + "location": "Vessels are centrally concentrated while extending towards the periphery;", + "size": "The map is square, occupying the entire image area;", + "trend_shape": "The vessels display a branching tree-like pattern with curvilinear shapes of varying thickness and length.", + "image": "DRIVE/test/annotations/16gt.png", + "caption": "Black and white semantic map depicting retinal vessel structures; DRIVE dataset; Vessels are centrally concentrated while extending towards the periphery; The map is square, occupying the entire image area; The vessels display a branching tree-like pattern with curvilinear shapes of varying thickness and length;" + }, + { + "overview": "BW semantic map of curvilinear vessel-like structures as GT.", + "dataset": "DRIVE dataset", + "location": "Centered semantic map occupies square image; denser veins near center, thinning outwards.", + "size": "Semantic map size equals image resolution, indicating one-to-one correspondence between map details and image pixels.", + "trend_shape": "Branching vessel pattern from central vessel; smaller vessels bifurcate at varying angles, tapering as they extend.", + "image": "DRIVE/test/annotations/17gt.png", + "caption": "BW semantic map of curvilinear vessel-like structures as GT; DRIVE dataset; Centered semantic map occupies square image; denser veins near center, thinning outwards; Semantic map size equals image resolution, indicating one-to-one correspondence between map details and image pixels; Branching vessel pattern from central vessel; smaller vessels bifurcate at varying angles, tapering as they extend;" + }, + { + "overview": "BW semantic map of retinal vasculature (GT) for image analysis", + "dataset": "DRIVE dataset", + "location": "Semantic map in square image, vessels reach edges", + "size": "Semantic map fills entire image field, resolution 512x512 pixels.", + "trend_shape": "Branching vessels with varying thickness radiate from an off-center origin.", + "image": "DRIVE/test/annotations/18gt.png", + "caption": "BW semantic map of retinal vasculature (GT) for image analysis; DRIVE dataset; Semantic map in square image, vessels reach edges; Semantic map fills entire image field, resolution 512x512 pixels; Branching vessels with varying thickness radiate from an off-center origin;" + }, + { + "overview": "High-contrast GT retinal vessel map", + "dataset": "DRIVE dataset", + "location": "Central semantic map with radial vessels extending peripherally.", + "size": "Large circular map covers nearly entire retinal image area.", + "trend_shape": "Branched, tree-like vessels with a central trunk bifurcate into varying thickness branches with linear and sinuous segments.", + "image": "DRIVE/test/annotations/19gt.png", + "caption": "High-contrast GT retinal vessel map; DRIVE dataset; Central semantic map with radial vessels extending peripherally; Large circular map covers nearly entire retinal image area; Branched, tree-like vessels with a central trunk bifurcate into varying thickness branches with linear and sinuous segments;" + }, + { + "overview": "Semantic map (GT) depicting retinal vessels", + "dataset": "DRIVE dataset", + "location": "Vessels are centrally located, extending outwards to all edges of the image", + "size": "Image size is 512x512 pixels", + "trend_shape": "The vessels display a branching tree-like structure with a central thicker vessel bifurcating into progressively thinner vessels, exhibiting both linear and curved segments.", + "image": "DRIVE/test/annotations/1gt.png", + "caption": "Semantic map (GT) depicting retinal vessels; DRIVE dataset; Vessels are centrally located, extending outwards to all edges of the image; Image size is 512x512 pixels; The vessels display a branching tree-like structure with a central thicker vessel bifurcating into progressively thinner vessels, exhibiting both linear and curved segments;" + }, + { + "overview": "Retinal vessel semantic map.", + "dataset": "DRIVE dataset", + "location": "Centralized semantic map covers most of the image, focusing on dense vessels in the middle.", + "size": "High-contrast map: white vessels on black background.", + "trend_shape": "Curvilinear, branching vessels radiate thinner vessels from a thicker central vessel.", + "image": "DRIVE/test/annotations/2gt.png", + "caption": "Retinal vessel semantic map; DRIVE dataset; Centralized semantic map covers most of the image, focusing on dense vessels in the middle; High-contrast map: white vessels on black background; Curvilinear, branching vessels radiate thinner vessels from a thicker central vessel;" + }, + { + "overview": "High-contrast GT map of retinal blood vessels on black background.", + "dataset": "DRIVE dataset", + "location": "Central curvilinear structures cover most of the image.", + "size": "Semantic map is square (584x565 pixels), matching DRIVE dataset image format.", + "trend_shape": "Central, thick vessel branches into thinner ones at periphery; vessel shapes curved, intertwined, resembling human retina's vasculature.", + "image": "DRIVE/test/annotations/3gt.png", + "caption": "High-contrast GT map of retinal blood vessels on black background; DRIVE dataset; Central curvilinear structures cover most of the image; Semantic map is square (584x565 pixels), matching DRIVE dataset image format; Central, thick vessel branches into thinner ones at periphery; vessel shapes curved, intertwined, resembling human retina's vasculature;" + }, + { + "overview": "Semantic map with vascular network as curves on black background for GT image analysis", + "dataset": "DRIVE dataset", + "location": "Semantic map near image center, vascular structure from optic disc leftward.", + "size": "Semantic map covers square image with 1:1 size ratio.", + "trend_shape": "Semantic map exhibits branching pattern of retinal vessels, with caliber decreasing from primary to tertiary branches.", + "image": "DRIVE/test/annotations/4gt.png", + "caption": "Semantic map with vascular network as curves on black background for GT image analysis; DRIVE dataset; Semantic map near image center, vascular structure from optic disc leftward; Semantic map covers square image with 1:1 size ratio; Semantic map exhibits branching pattern of retinal vessels, with caliber decreasing from primary to tertiary branches;" + }, + { + "overview": "High-contrast semantic map (GT) shows curvilinear vessels on black background.", + "dataset": "DRIVE dataset", + "location": "Central map with dense line cluster radiating outward.", + "size": "Semantic map spans entire image, utilizing all dimensions.", + "trend_shape": "Curvilinear structures exhibit a branching pattern, originating from a central vessel and mimicking retinal blood vessels.", + "image": "DRIVE/test/annotations/5gt.png", + "caption": "High-contrast semantic map (GT) shows curvilinear vessels on black background; DRIVE dataset; Central map with dense line cluster radiating outward; Semantic map spans entire image, utilizing all dimensions; Curvilinear structures exhibit a branching pattern, originating from a central vessel and mimicking retinal blood vessels;" + }, + { + "overview": "High-contrast semantic GT map displays retina vascular structure", + "dataset": "DRIVE dataset", + "location": "Semantic map covers full image, with slight rightward focal point where vessels originate.", + "size": "Semantic map size matches image size, which is square.", + "trend_shape": "Semantic map displays complex branching pattern from central retinal artery, with curvilinear vessels of varying curvature and tortuosity.", + "image": "DRIVE/test/annotations/6gt.png", + "caption": "High-contrast semantic GT map displays retina vascular structure; DRIVE dataset; Semantic map covers full image, with slight rightward focal point where vessels originate; Semantic map size matches image size, which is square; Semantic map displays complex branching pattern from central retinal artery, with curvilinear vessels of varying curvature and tortuosity;" + }, + { + "overview": "Semantic map of retinal blood vessels depicting GT for curvilinear object detection.", + "dataset": "DRIVE dataset", + "location": "Semantic map covers most of image, focusing on center and extending outward.", + "size": "Semantic map occupies full square image resolution, possibly 512x512 pixels.", + "trend_shape": "Semantic map reveals a branching pattern of retinal vessels from optic disc, exhibiting curves and angles.", + "image": "DRIVE/test/annotations/7gt.png", + "caption": "Semantic map of retinal blood vessels depicting GT for curvilinear object detection; DRIVE dataset; Semantic map covers most of image, focusing on center and extending outward; Semantic map occupies full square image resolution, possibly 512x512 pixels; Semantic map reveals a branching pattern of retinal vessels from optic disc, exhibiting curves and angles;" + }, + { + "overview": "Curvilinear structures resembling blood vessels on semantic map", + "dataset": "DRIVE dataset", + "location": "Semantic map fills entire image, central structures extend to borders.", + "size": "Image dimensions: 512x512 pixels; vessel widths in semantic map vary from 1 to 10 pixels.", + "trend_shape": "Curvilinear structures branch from a central vessel, tapering and curving like a tree or river delta.", + "image": "DRIVE/test/annotations/8gt.png", + "caption": "Curvilinear structures resembling blood vessels on semantic map; DRIVE dataset; Semantic map fills entire image, central structures extend to borders; Image dimensions: 512x512 pixels; vessel widths in semantic map vary from 1 to 10 pixels; Curvilinear structures branch from a central vessel, tapering and curving like a tree or river delta;" + }, + { + "overview": "High-contrast GT retinal vessel map in white on black.", + "dataset": "DRIVE dataset", + "location": "Central semantic map with main vessels radiating from optic disc to periphery.", + "size": "High-resolution fundus map covers entire field with varying vessel thicknesses.", + "trend_shape": "Semantic map: branching vascular structure resembling a tree, originating from optic disc.", + "image": "DRIVE/test/annotations/9gt.png", + "caption": "High-contrast GT retinal vessel map in white on black; DRIVE dataset; Central semantic map with main vessels radiating from optic disc to periphery; High-resolution fundus map covers entire field with varying vessel thicknesses; Semantic map: branching vascular structure resembling a tree, originating from optic disc;" + } +] \ No newline at end of file diff --git a/dataset_curvilinear/unprocessed_json/angiography.json b/dataset_curvilinear/unprocessed_json/angiography.json new file mode 100644 index 0000000000000000000000000000000000000000..58bcfcc0e458835085e9d048b972bc2ff3800b74 --- /dev/null +++ b/dataset_curvilinear/unprocessed_json/angiography.json @@ -0,0 +1,5146 @@ +[ + { + "image": "CHUAC\\training\\images\\0img.png", + "caption": "Medical grayscale X-ray image displaying the cardiovascular system of a patient's chest area;CHUAC dataset;Coronary angiography is centrally located, predominantly in the upper half of the image;Variable-size vessels with the main coronary arteries being prominent and branching vessels diminishing in size;Arteries are elongated with curvilinear and branching shapes, showing a spreading pattern indicative of normal vascular distribution, without overt signs of stenosis or occlusion;Homogeneous dark background with low contrast, common in X-ray imaging.", + "overview": "Medical grayscale X-ray image displaying the cardiovascular system of a patient's chest area;", + "dataset": "CHUAC dataset;", + "location": "Coronary angiography is centrally located, predominantly in the upper half of the image;", + "size": "Variable-size vessels with the main coronary arteries being prominent and branching vessels diminishing in size;", + "trend_shape": "Arteries are elongated with curvilinear and branching shapes, showing a spreading pattern indicative of normal vascular distribution, without overt signs of stenosis or occlusion;", + "background": "Homogeneous dark background with low contrast, common in X-ray imaging." + }, + { + "image": "CHUAC\\training\\images\\10img.png", + "caption": "Monochromatic X-ray image displaying contrast-enhanced coronary arteries;CHUAC dataset;The coronary angiography is centrally located, highlighting the artery structure against a less dense background;The coronary angiography exhibits varying vessel sizes, with some segments appearing narrower suggesting possible vessel tapering or stenosis;The coronary vessels demonstrate a meandering trend with complex, branching patterns and varying curvature radii, indicative of the coronary arterial tree;The background is homogeneous and diffuse, providing a contrast to the vascular structures.", + "overview": "Monochromatic X-ray image displaying contrast-enhanced coronary arteries;", + "dataset": "CHUAC dataset;", + "location": "The coronary angiography is centrally located, highlighting the artery structure against a less dense background;", + "size": "The coronary angiography exhibits varying vessel sizes, with some segments appearing narrower suggesting possible vessel tapering or stenosis;", + "trend_shape": "The coronary vessels demonstrate a meandering trend with complex, branching patterns and varying curvature radii, indicative of the coronary arterial tree;", + "background": "The background is homogeneous and diffuse, providing a contrast to the vascular structures." + }, + { + "image": "CHUAC\\training\\images\\11img.png", + "caption": "Black-and-white X-ray image showing vascular structures with high contrast;CHUAC dataset;Upper central region of the image;Variable size with main arteries being more prominent than branching vessels;The main coronary artery appears tortuous with curvilinear and branching patterns, showing arterial bifurcations and smaller vessels stemming off;Uniform dark gray background with soft tissue shadows.", + "overview": "Black-and-white X-ray image showing vascular structures with high contrast;", + "dataset": "CHUAC dataset;", + "location": "Upper central region of the image;", + "size": "Variable size with main arteries being more prominent than branching vessels;", + "trend_shape": "The main coronary artery appears tortuous with curvilinear and branching patterns, showing arterial bifurcations and smaller vessels stemming off;", + "background": "Uniform dark gray background with soft tissue shadows." + }, + { + "image": "CHUAC\\training\\images\\12img.png", + "caption": "A grayscale X-ray coronary angiography image;CHUAC dataset;The coronary angiography is centrally located;The angiography demonstrates medium to large-sized coronary vessels;The vessels show a tortuous trend and curvilinear shape;Homogeneous grayscale background.", + "overview": "A grayscale X-ray coronary angiography image;", + "dataset": "CHUAC dataset;", + "location": "The coronary angiography is centrally located;", + "size": "The angiography demonstrates medium to large-sized coronary vessels;", + "trend_shape": "The vessels show a tortuous trend and curvilinear shape;", + "background": "Homogeneous grayscale background." + }, + { + "image": "CHUAC\\training\\images\\1img.png", + "caption": "X-ray image displaying contrast-filled coronary arteries;CHUAC dataset;Coronary angiography centrally positioned, showing the left coronary artery system;Large coronary arteries with proximal branches ranging from 2-4 mm in diameter, tapering distally;Smooth, curvilinear arteries with uniform calibre, no significant stenosis or obstruction visible, indicating normal flow pattern;Unremarkable homogeneous background with minimal artifacts.", + "overview": "X-ray image displaying contrast-filled coronary arteries;", + "dataset": "CHUAC dataset;", + "location": "Coronary angiography centrally positioned, showing the left coronary artery system;", + "size": "Large coronary arteries with proximal branches ranging from 2-4 mm in diameter, tapering distally;", + "trend_shape": "Smooth, curvilinear arteries with uniform calibre, no significant stenosis or obstruction visible, indicating normal flow pattern;", + "background": "Unremarkable homogeneous background with minimal artifacts." + }, + { + "image": "CHUAC\\training\\images\\22img.png", + "caption": "X-ray image displaying a coronary angiography;CHUAC dataset;Coronary angiography located centrally in the image, predominantly occupying the middle third;Varying vessel sizes with the main artery visible as the largest structure, and branching vessels tapering off to smaller sizes;Arteries present with a sinuous trend, with a mix of curved and linear segments, forming a branching tree-like structure;A uniform, faintly mottled background with no distinct features.", + "overview": "X-ray image displaying a coronary angiography;", + "dataset": "CHUAC dataset;", + "location": "Coronary angiography located centrally in the image, predominantly occupying the middle third;", + "size": "Varying vessel sizes with the main artery visible as the largest structure, and branching vessels tapering off to smaller sizes;", + "trend_shape": "Arteries present with a sinuous trend, with a mix of curved and linear segments, forming a branching tree-like structure;", + "background": "A uniform, faintly mottled background with no distinct features." + }, + { + "image": "CHUAC\\training\\images\\24img.png", + "caption": "X-ray image displaying coronary arteries with contrast;CHUAC dataset;Coronary angiography centralized in the image, predominantly in the upper half;Variable vessel diameter ranging from very thin to moderately thick;Arteries showing multiple branching patterns, curved and linear segments with tortuosity;Uniform grayscale background with minimal artifacts.", + "overview": "X-ray image displaying coronary arteries with contrast;", + "dataset": "CHUAC dataset;", + "location": "Coronary angiography centralized in the image, predominantly in the upper half;", + "size": "Variable vessel diameter ranging from very thin to moderately thick;", + "trend_shape": "Arteries showing multiple branching patterns, curved and linear segments with tortuosity;", + "background": "Uniform grayscale background with minimal artifacts." + }, + { + "image": "CHUAC\\training\\images\\25img.png", + "caption": "Medical grayscale X-ray angiography image depicting the coronary arteries of the heart;CHUAC dataset;The coronary angiography is prominently visible in the central portion of the image, with multiple branching vessels seen originating from the base ascending towards the upper right;The angiography shows vessels varying in size, with major arteries being more prominent and minor branches tapering to finer structures;The coronary vessels exhibit a sinuous trend with a mix of linear and curvilinear segments, forming a complex vascular network with both bulbous and tapering shapes;Homogeneous, translucent background with minimal structural detail.", + "overview": "Medical grayscale X-ray angiography image depicting the coronary arteries of the heart;", + "dataset": "CHUAC dataset;", + "location": "The coronary angiography is prominently visible in the central portion of the image, with multiple branching vessels seen originating from the base ascending towards the upper right;", + "size": "The angiography shows vessels varying in size, with major arteries being more prominent and minor branches tapering to finer structures;", + "trend_shape": "The coronary vessels exhibit a sinuous trend with a mix of linear and curvilinear segments, forming a complex vascular network with both bulbous and tapering shapes;", + "background": "Homogeneous, translucent background with minimal structural detail." + }, + { + "image": "CHUAC\\training\\images\\26img.png", + "caption": "Monochrome X-ray image featuring a cardiac angiogram with catheter and vasculature;CHUAC dataset;Central to the image, extending from top left corner branching towards the center and right;Variable vessel size with main coronary arteries being prominent and secondary branches diminishing in caliber;Overall tortuous and complex vasculature pattern with both smooth and irregular contours, the main arteries display a curvilinear course with several bifurcations and smaller vessels branching off;Homogeneous grey backdrop with low contrast, catheter and cardiac silhouette visible.", + "overview": "Monochrome X-ray image featuring a cardiac angiogram with catheter and vasculature;", + "dataset": "CHUAC dataset;", + "location": "Central to the image, extending from top left corner branching towards the center and right;", + "size": "Variable vessel size with main coronary arteries being prominent and secondary branches diminishing in caliber;", + "trend_shape": "Overall tortuous and complex vasculature pattern with both smooth and irregular contours, the main arteries display a curvilinear course with several bifurcations and smaller vessels branching off;", + "background": "Homogeneous grey backdrop with low contrast, catheter and cardiac silhouette visible." + }, + { + "image": "CHUAC\\training\\images\\27img.png", + "caption": "Monochromatic X-ray image showing coronary vasculature and surrounding tissues;CHUAC dataset;The coronary angiography is located centrally within the image, with contrast medium delineating the arterial structure;Arterial branches vary in size, with main coronary arteries being larger and tapering into smaller peripheral branches;The coronary arteries exhibit a tortuous and branching trend, with some segments showing smooth contours while others demonstrate irregularities or narrowing;The background consists of faint, less contrasted structures representing thoracic anatomy, including bones and soft tissue.", + "overview": "Monochromatic X-ray image showing coronary vasculature and surrounding tissues;", + "dataset": "CHUAC dataset;", + "location": "The coronary angiography is located centrally within the image, with contrast medium delineating the arterial structure;", + "size": "Arterial branches vary in size, with main coronary arteries being larger and tapering into smaller peripheral branches;", + "trend_shape": "The coronary arteries exhibit a tortuous and branching trend, with some segments showing smooth contours while others demonstrate irregularities or narrowing;", + "background": "The background consists of faint, less contrasted structures representing thoracic anatomy, including bones and soft tissue." + }, + { + "image": "CHUAC\\training\\images\\28img.png", + "caption": "Monochrome radiographic image displaying high-contrast features indicative of vascular structures and surrounding tissues;CHUAC dataset;The coronary angiography is centrally located, with the main vessel bifurcating from the bottom left corner and extending towards the upper right region of the image;The angiography depicts vessels of varying sizes, with the primary vessel being of larger diameter and secondary branches tapering to smaller vessels;The coronary vessels exhibit a tortuous trend, with smooth curvatures and branching patterns typical of coronary arterial anatomy;The background shows homogeneous greyscale soft tissue densities with no distinct features.", + "overview": "Monochrome radiographic image displaying high-contrast features indicative of vascular structures and surrounding tissues;", + "dataset": "CHUAC dataset;", + "location": "The coronary angiography is centrally located, with the main vessel bifurcating from the bottom left corner and extending towards the upper right region of the image;", + "size": "The angiography depicts vessels of varying sizes, with the primary vessel being of larger diameter and secondary branches tapering to smaller vessels;", + "trend_shape": "The coronary vessels exhibit a tortuous trend, with smooth curvatures and branching patterns typical of coronary arterial anatomy;", + "background": "The background shows homogeneous greyscale soft tissue densities with no distinct features." + }, + { + "image": "CHUAC\\training\\images\\29img.png", + "caption": "An X-ray image showcasing the vascular structure of the heart via contrast medium;CHUAC dataset;The coronary angiography is predominantly visible in the center and upper left region of the image;The coronary angiography branches vary in size, with the main arterial structure being several millimeters in diameter;The coronary angiography presents with a sinuous trend and a branching shape, with some vessels demonstrating a corkscrew pattern while others appear more linear and tapered;The background is uniform and featureless, enhancing the contrast of the angiography.", + "overview": "An X-ray image showcasing the vascular structure of the heart via contrast medium;", + "dataset": "CHUAC dataset;", + "location": "The coronary angiography is predominantly visible in the center and upper left region of the image;", + "size": "The coronary angiography branches vary in size, with the main arterial structure being several millimeters in diameter;", + "trend_shape": "The coronary angiography presents with a sinuous trend and a branching shape, with some vessels demonstrating a corkscrew pattern while others appear more linear and tapered;", + "background": "The background is uniform and featureless, enhancing the contrast of the angiography." + }, + { + "image": "CHUAC\\training\\images\\2img.png", + "caption": "Monochromatic X-ray image displaying contrast-enhanced coronary arteries;CHUAC dataset;Coronary angiography predominantly centered and oriented diagonally from upper-left to lower-right;Varying sizes of arterial branches, main vessels approximately 2-5 mm in diameter;Arteries display a tortuous course with smooth contours, branching in a complex tree-like pattern;Homogeneous greyscale backdrop with soft-tissue shadows.", + "overview": "Monochromatic X-ray image displaying contrast-enhanced coronary arteries;", + "dataset": "CHUAC dataset;", + "location": "Coronary angiography predominantly centered and oriented diagonally from upper-left to lower-right;", + "size": "Varying sizes of arterial branches, main vessels approximately 2-5 mm in diameter;", + "trend_shape": "Arteries display a tortuous course with smooth contours, branching in a complex tree-like pattern;", + "background": "Homogeneous greyscale backdrop with soft-tissue shadows." + }, + { + "image": "CHUAC\\training\\images\\3img.png", + "caption": "The image is a grayscale X-ray coronary angiography showing the outline of a heart with visible coronary arteries; The dataset is CHUAC; The coronary angiography is centrally located in the image, overlaying the heart silhouette; The coronary angiography branches out in a tree-like structure, with varying sizes ranging from larger proximal branches to finer distal branches; The trend of the coronary angiography is a tortuous course running across the heart surface, with the shape of the arteries being predominantly curved with smooth contours; The background is uniform and dark, providing contrast to the white angiographic lines.", + "overview": "The image is a grayscale X-ray coronary angiography showing the outline of a heart with visible coronary arteries;", + "dataset": "The dataset is CHUAC;", + "location": "The coronary angiography is centrally located in the image, overlaying the heart silhouette;", + "size": "The coronary angiography branches out in a tree-like structure, with varying sizes ranging from larger proximal branches to finer distal branches;", + "trend_shape": "The trend of the coronary angiography is a tortuous course running across the heart surface, with the shape of the arteries being predominantly curved with smooth contours;", + "background": "The background is uniform and dark, providing contrast to the white angiographic lines." + }, + { + "image": "CHUAC\\training\\images\\4img.png", + "caption": "Monochromatic X-ray image depicting the cardiovascular system focused on coronary arteries;CHUAC dataset;The coronary angiography is centrally located in the image, displaying the left side of the heart;The coronary angiography shows arteries of varying calibers, with the main artery visibly thicker, tapering into thinner branches;The main coronary artery has a smooth, curved trajectory with branching vessels extending in a more linear fashion with delicate bifurcations and subtle curvature;Homogeneous grayscale background with soft tissue shadows.", + "overview": "Monochromatic X-ray image depicting the cardiovascular system focused on coronary arteries;", + "dataset": "CHUAC dataset;", + "location": "The coronary angiography is centrally located in the image, displaying the left side of the heart;", + "size": "The coronary angiography shows arteries of varying calibers, with the main artery visibly thicker, tapering into thinner branches;", + "trend_shape": "The main coronary artery has a smooth, curved trajectory with branching vessels extending in a more linear fashion with delicate bifurcations and subtle curvature;", + "background": "Homogeneous grayscale background with soft tissue shadows." + }, + { + "image": "CHUAC\\training\\images\\5img.png", + "caption": "X-ray image showing a coronary angiography;CHUAC dataset;Coronary angiography is visible in the upper half, slightly left of center;The angiography displays major vessels with varying sizes, some branches are fine and thread-like while others are broad and thicker;Vessels appear tortuous with a mix of curved and straight segments, and there is a notable contrast-filled structure indicating a coronary artery;Homogeneous, hazy background with no distinct features.", + "overview": "X-ray image showing a coronary angiography;", + "dataset": "CHUAC dataset;", + "location": "Coronary angiography is visible in the upper half, slightly left of center;", + "size": "The angiography displays major vessels with varying sizes, some branches are fine and thread-like while others are broad and thicker;", + "trend_shape": "Vessels appear tortuous with a mix of curved and straight segments, and there is a notable contrast-filled structure indicating a coronary artery;", + "background": "Homogeneous, hazy background with no distinct features." + }, + { + "image": "CHUAC\\training\\images\\6img.png", + "caption": "X-ray image showing contrast-enhanced coronary arteries;CHUAC dataset;The coronary angiography is centrally located in the image, depicting the heart's vasculature;Varying sizes, with main arteries having a prominent and thicker appearance, tapering off into smaller branches;The coronary angiography displays a branching structure with smooth curvature and a mix of linear and curved segments;Homogeneous, slightly textured gray background.", + "overview": "X-ray image showing contrast-enhanced coronary arteries;", + "dataset": "CHUAC dataset;", + "location": "The coronary angiography is centrally located in the image, depicting the heart's vasculature;", + "size": "Varying sizes, with main arteries having a prominent and thicker appearance, tapering off into smaller branches;", + "trend_shape": "The coronary angiography displays a branching structure with smooth curvature and a mix of linear and curved segments;", + "background": "Homogeneous, slightly textured gray background." + }, + { + "image": "CHUAC\\training\\images\\7img.png", + "caption": "Medical grayscale image showing an X-ray coronary angiography with contrast;CHUAC dataset;The coronary angiography occupies the central to upper-left portion of the image;Medium to large vessel caliber size evident;The coronary arteries appear with a serpentine, tubular structure, with some branches exhibiting slight tapering and curvature without abrupt interruptions;The contrasting background is uniform and featureless, providing clear visibility of the angiographic details.", + "overview": "Medical grayscale image showing an X-ray coronary angiography with contrast;", + "dataset": "CHUAC dataset;", + "location": "The coronary angiography occupies the central to upper-left portion of the image;", + "size": "Medium to large vessel caliber size evident;", + "trend_shape": "The coronary arteries appear with a serpentine, tubular structure, with some branches exhibiting slight tapering and curvature without abrupt interruptions;", + "background": "The contrasting background is uniform and featureless, providing clear visibility of the angiographic details." + }, + { + "image": "CHUAC\\training\\images\\8img.png", + "caption": "Medical grayscale image depicting contrast-enhanced coronary arteries;CHUAC dataset;Central to right portion of the image, branching towards the top and right directions;Variable vessel diameter, ranging from narrow to wider sections, with main branches being several millimeters in width;Tortuous and curvilinear vessel paths with smooth contours and some bifurcations;Homogenous and featureless background with soft tissue shadowing.", + "overview": "Medical grayscale image depicting contrast-enhanced coronary arteries;", + "dataset": "CHUAC dataset;", + "location": "Central to right portion of the image, branching towards the top and right directions;", + "size": "Variable vessel diameter, ranging from narrow to wider sections, with main branches being several millimeters in width;", + "trend_shape": "Tortuous and curvilinear vessel paths with smooth contours and some bifurcations;", + "background": "Homogenous and featureless background with soft tissue shadowing." + }, + { + "image": "CHUAC\\training\\images\\9img.png", + "caption": "X-ray image showing coronary arteries filled with contrast medium;CHUAC dataset;Coronary angiography visible in the center of the image, slightly towards the left;Coronary arteries ranging from 2 to 4 mm in visible diameter;Coronary arteries exhibit a serpentine and branching pattern with smooth contours;Homogenous greyscale background with soft tissue shadows.", + "overview": "X-ray image showing coronary arteries filled with contrast medium;", + "dataset": "CHUAC dataset;", + "location": "Coronary angiography visible in the center of the image, slightly towards the left;", + "size": "Coronary arteries ranging from 2 to 4 mm in visible diameter;", + "trend_shape": "Coronary arteries exhibit a serpentine and branching pattern with smooth contours;", + "background": "Homogenous greyscale background with soft tissue shadows." + }, + { + "image": "CHUAC\\training\\annotations\\0gt.png", + "caption": "Semantic map (GT) of a coronary arterial tree extracted from an X-ray coronary angiography image;From the CHUAC dataset;The semantic map is centrally located in the image, extending from the top-center towards the bottom with branching structures;The semantic map covers nearly the entire height of the image with varying widths due to the branching nature of the arteries it depicts;The arterial branches are depicted as thin, curvilinear lines that bifurcate and taper, resembling a tree with complex branching patterns.", + "overview": "Semantic map (GT) of a coronary arterial tree extracted from an X-ray coronary angiography image;", + "dataset": "From the CHUAC dataset;", + "location": "The semantic map is centrally located in the image, extending from the top-center towards the bottom with branching structures;", + "size": "The semantic map covers nearly the entire height of the image with varying widths due to the branching nature of the arteries it depicts;", + "trend_shape": "The arterial branches are depicted as thin, curvilinear lines that bifurcate and taper, resembling a tree with complex branching patterns." + }, + { + "image": "CHUAC\\training\\annotations\\11gt.png", + "caption": "Groundtruth semantic map of an X-ray coronary angiography image;CHUAC dataset;The semantic map appears as white linear elements against a black background, occupying the central and upper portions of the image;The map extends over nearly the entire width of the image but is concentrated more towards the central and upper area within a roughly oval shape indicative of a heart silhouette;The lines depict the branching pattern of coronary arteries, with several long, curving lines representing major vessels and numerous smaller branches indicating finer arterial structures; the trend is a central convergence pattern emanating from the bottom center, indicating the coronary tree's origin.", + "overview": "Groundtruth semantic map of an X-ray coronary angiography image;", + "dataset": "CHUAC dataset;", + "location": "The semantic map appears as white linear elements against a black background, occupying the central and upper portions of the image;", + "size": "The map extends over nearly the entire width of the image but is concentrated more towards the central and upper area within a roughly oval shape indicative of a heart silhouette;", + "trend_shape": "The lines depict the branching pattern of coronary arteries, with several long, curving lines representing major vessels and numerous smaller branches indicating finer arterial structures; the trend is a central convergence pattern emanating from the bottom center, indicating the coronary tree's origin." + }, + { + "image": "CHUAC\\training\\annotations\\12gt.png", + "caption": "This is a black and white semantic map or ground truth (GT) of an X-ray coronary angiography image, clearly delineating the arterial structure from the background;The dataset is named CHUAC;The semantic map is centrally located, occupying the central and upper third sections of the image, slightly leaning to the left side of the frame;The size of the semantic map is large, with the main arterial structure extending from the top center towards the lower regions, with branching vessels of varying lengths and widths;The trend of the semantic map is a complex, tree-like vascular structure with a prominent central vessel from which multiple smaller branches extend outwards in various directions, some curving gently and others with more acute angles, representing the arterial network.", + "overview": "This is a black and white semantic map or ground truth (GT) of an X-ray coronary angiography image, clearly delineating the arterial structure from the background;", + "dataset": "The dataset is named CHUAC;", + "location": "The semantic map is centrally located, occupying the central and upper third sections of the image, slightly leaning to the left side of the frame;", + "size": "The size of the semantic map is large, with the main arterial structure extending from the top center towards the lower regions, with branching vessels of varying lengths and widths;", + "trend_shape": "The trend of the semantic map is a complex, tree-like vascular structure with a prominent central vessel from which multiple smaller branches extend outwards in various directions, some curving gently and others with more acute angles, representing the arterial network." + }, + { + "image": "CHUAC\\training\\annotations\\1gt.png", + "caption": "A semantic map or ground truth (GT) representation of an X-ray coronary angiography image;CHUAC dataset;The semantic map is centrally located in the image, occupying the majority of the image area;The semantic map is of medium size, with precise and clean outlines;The trend of the semantic map is of a branching structure, while the shape mimics the coronary arteries with linear extensions and bifurcations indicative of arterial flow paths.", + "overview": "A semantic map or ground truth (GT) representation of an X-ray coronary angiography image;", + "dataset": "CHUAC dataset;", + "location": "The semantic map is centrally located in the image, occupying the majority of the image area;", + "size": "The semantic map is of medium size, with precise and clean outlines;", + "trend_shape": "The trend of the semantic map is of a branching structure, while the shape mimics the coronary arteries with linear extensions and bifurcations indicative of arterial flow paths." + }, + { + "image": "CHUAC\\training\\annotations\\22gt.png", + "caption": "This image is a high-contrast semantic map or ground truth (GT) representing the vascular structures in an X-ray coronary angiography;The dataset is named CHUAC;The semantic map is centrally located within the image against a black background;The size of the semantic map covers the majority of the image space, yet the exact dimensions cannot be determined from the image alone;The trend and shape of the semantic map show a complex branching pattern typical of coronary arteries, with multiple bifurcations and varying vessel widths extending from a central, larger artery shape.", + "overview": "This image is a high-contrast semantic map or ground truth (GT) representing the vascular structures in an X-ray coronary angiography;", + "dataset": "The dataset is named CHUAC;", + "location": "The semantic map is centrally located within the image against a black background;", + "size": "The size of the semantic map covers the majority of the image space, yet the exact dimensions cannot be determined from the image alone;", + "trend_shape": "The trend and shape of the semantic map show a complex branching pattern typical of coronary arteries, with multiple bifurcations and varying vessel widths extending from a central, larger artery shape." + }, + { + "image": "CHUAC\\training\\annotations\\24gt.png", + "caption": "Ground truth semantic map of X-ray coronary angiography, highlighting vascular structures;CHUAC dataset;The semantic map is centralized within the image, occupying the majority of the field of view;The size of the semantic map is large, extending to the boundaries of the image frame;The trend of the semantic map is intricate, with a dendritic pattern showing multiple branching vessels; the shape includes curving and linear segments, resembling a tree-like vascular system.", + "overview": "Ground truth semantic map of X-ray coronary angiography, highlighting vascular structures;", + "dataset": "CHUAC dataset;", + "location": "The semantic map is centralized within the image, occupying the majority of the field of view;", + "size": "The size of the semantic map is large, extending to the boundaries of the image frame;", + "trend_shape": "The trend of the semantic map is intricate, with a dendritic pattern showing multiple branching vessels; the shape includes curving and linear segments, resembling a tree-like vascular system." + }, + { + "image": "CHUAC\\training\\annotations\\25gt.png", + "caption": "A semantic map or ground truth (GT) representation of a coronary artery system as visualized in an X-ray coronary angiography;from the CHUAC dataset;the semantic map is centrally located, occupying the majority of the image space with clear white lines on a black background, predominantly in the upper half of the image;the size of the semantic map is large relative to the image, with the primary artery depicted as thicker lines extending from the top center to the bottom center, and branching arteries varying in length and thickness;trend and shape show a complex vascular structure with both linear and curvilinear patterns, featuring a main trunk with multiple bifurcations and smaller branching vessels indicative of the coronary artery tree, noting variations in the curvature and angulation of the vessels.", + "overview": "A semantic map or ground truth (GT) representation of a coronary artery system as visualized in an X-ray coronary angiography;", + "dataset": "from the CHUAC dataset;", + "location": "the semantic map is centrally located, occupying the majority of the image space with clear white lines on a black background, predominantly in the upper half of the image;", + "size": "the size of the semantic map is large relative to the image, with the primary artery depicted as thicker lines extending from the top center to the bottom center, and branching arteries varying in length and thickness;", + "trend_shape": "trend and shape show a complex vascular structure with both linear and curvilinear patterns, featuring a main trunk with multiple bifurcations and smaller branching vessels indicative of the coronary artery tree, noting variations in the curvature and angulation of the vessels." + }, + { + "image": "CHUAC\\training\\annotations\\26gt.png", + "caption": "This is a simplified semantic map representation of an X-ray coronary angiography image, designated as ground truth (GT) for reference.The dataset is called CHUAC.The semantic map is centrally located within the image, occupying a majority of the image area but not extending to the edges.The size is substantial, with the semantic map lines varying in thickness and interconnectedness, forming a complex network encompassing the central portion of the image.The trend is multi-directional, with the shape showing intricate branching patterns and curvature, indicative of coronary arteries and their anatomic variability.", + "overview": "This is a simplified semantic map representation of an X-ray coronary angiography image, designated as ground truth (GT) for reference.", + "dataset": "The dataset is called CHUAC.", + "location": "The semantic map is centrally located within the image, occupying a majority of the image area but not extending to the edges.", + "size": "The size is substantial, with the semantic map lines varying in thickness and interconnectedness, forming a complex network encompassing the central portion of the image.", + "trend_shape": "The trend is multi-directional, with the shape showing intricate branching patterns and curvature, indicative of coronary arteries and their anatomic variability." + }, + { + "image": "CHUAC\\training\\annotations\\27gt.png", + "caption": "A detailed semantic map representing a groundtruth (GT) illustration of the vascular structures in an X-ray coronary angiography image;CHUAC dataset;The semantic map is located in the center of the image, prominently displayed against a black background;The size of the semantic map is substantial relative to the image, occupying a majority of the image space;The trend of the semantic map is complex and branching, with a main vascular structure extended from the top to the bottom, bifurcating into multiple thinner vessels of varying lengths, resembling a tree-like vascular system with a distinct circular feature near the lower end suggesting a focal point or an area of interest within the structure.", + "overview": "A detailed semantic map representing a groundtruth (GT) illustration of the vascular structures in an X-ray coronary angiography image;", + "dataset": "CHUAC dataset;", + "location": "The semantic map is located in the center of the image, prominently displayed against a black background;", + "size": "The size of the semantic map is substantial relative to the image, occupying a majority of the image space;", + "trend_shape": "The trend of the semantic map is complex and branching, with a main vascular structure extended from the top to the bottom, bifurcating into multiple thinner vessels of varying lengths, resembling a tree-like vascular system with a distinct circular feature near the lower end suggesting a focal point or an area of interest within the structure." + }, + { + "image": "CHUAC\\training\\annotations\\28gt.png", + "caption": "A monochrome semantic map (GT) depicting the arterial structure from an X-ray coronary angiography;CHUAC dataset;The semantic map is centrally located within the image, occupying the majority of the space with clear boundaries and high contrast against the black background;The size of the semantic map appears to be medium relative to the image frame, with the main arterial structure extending vertically and branching out;The primary trend of the semantic map is a linear, curving vertical path with bifurcating branches that exhibit a realistic and complex vascular pattern, including fine and tapering shapes.", + "overview": "A monochrome semantic map (GT) depicting the arterial structure from an X-ray coronary angiography;", + "dataset": "CHUAC dataset;", + "location": "The semantic map is centrally located within the image, occupying the majority of the space with clear boundaries and high contrast against the black background;", + "size": "The size of the semantic map appears to be medium relative to the image frame, with the main arterial structure extending vertically and branching out;", + "trend_shape": "The primary trend of the semantic map is a linear, curving vertical path with bifurcating branches that exhibit a realistic and complex vascular pattern, including fine and tapering shapes." + }, + { + "image": "CHUAC\\training\\annotations\\29gt.png", + "caption": "Semantic map (ground truth) of an X-ray coronary angiography image;CHUAC dataset;The semantic map is centrally oriented, taking up a majority of the image space;The semantic map is relatively large, covering approximately 60-70% of the image canvas;The map displays a complex network of coronary arteries with varying thickness, with the trend appearing as a main artery bifurcating into smaller arteries, exhibiting both linear and curved segments.", + "overview": "Semantic map (ground truth) of an X-ray coronary angiography image;", + "dataset": "CHUAC dataset;", + "location": "The semantic map is centrally oriented, taking up a majority of the image space;", + "size": "The semantic map is relatively large, covering approximately 60-70% of the image canvas;", + "trend_shape": "The map displays a complex network of coronary arteries with varying thickness, with the trend appearing as a main artery bifurcating into smaller arteries, exhibiting both linear and curved segments." + }, + { + "image": "CHUAC\\training\\annotations\\2gt.png", + "caption": "This image is a high-contrast, monochromatic semantic map or ground truth (GT) representation of X-ray coronary angiography;the data originates from the CHUAC dataset;the semantic map is centrally located within the image, positioned against a uniform black background;the map spans approximately three-quarters of the image height and half of the image width, with variable line thickness representing the coronary arteries;the trend and shape of the semantic map depict the complex and curvilinear structure of coronary vasculature, with branching patterns and varying vessel calibers mimicking the typical anatomy observed in angiographic imaging.", + "overview": "This image is a high-contrast, monochromatic semantic map or ground truth (GT) representation of X-ray coronary angiography;", + "dataset": "the data originates from the CHUAC dataset;", + "location": "the semantic map is centrally located within the image, positioned against a uniform black background;", + "size": "the map spans approximately three-quarters of the image height and half of the image width, with variable line thickness representing the coronary arteries;", + "trend_shape": "the trend and shape of the semantic map depict the complex and curvilinear structure of coronary vasculature, with branching patterns and varying vessel calibers mimicking the typical anatomy observed in angiographic imaging." + }, + { + "image": "CHUAC\\training\\annotations\\3gt.png", + "caption": "Semantic map (GT) of an X-ray coronary angiography image with distinct linear features;CHUAC dataset;The semantic map is centralized in the image, occupying the majority of the space;The map is irregular in size with varying line thickness, without scale it's not possible to determine the absolute size, but the lines range from thin to slightly thicker contours;The lines depict a complex, branching vascular structure with a primary vertical vessel and multiple bifurcating vessels extending upwards and laterally, resembling coronary arteries.", + "overview": "Semantic map (GT) of an X-ray coronary angiography image with distinct linear features;", + "dataset": "CHUAC dataset;", + "location": "The semantic map is centralized in the image, occupying the majority of the space;", + "size": "The map is irregular in size with varying line thickness, without scale it's not possible to determine the absolute size, but the lines range from thin to slightly thicker contours;", + "trend_shape": "The lines depict a complex, branching vascular structure with a primary vertical vessel and multiple bifurcating vessels extending upwards and laterally, resembling coronary arteries." + }, + { + "image": "CHUAC\\training\\annotations\\4gt.png", + "caption": "Unfortunately, I am not able to access the content of the image you provided. If you have any questions or need information that doesn't involve image analysis, feel free to ask!", + "overview": "Unfortunately, I am not able to access the content of the image you provided. If you have any questions or need information that doesn't involve image analysis, feel free to ask!" + }, + { + "image": "CHUAC\\training\\annotations\\5gt.png", + "caption": "Semantic map or groundtruth (GT) of vascular structures extracted from an X-ray coronary angiography image;CHUAC dataset;The semantic map is centered on the image, occupying the majority of the image area;The semantic map is medium in size, with the major branches spanning the full height of the image and minor branches covering lesser widths;The trend of the semantic map is a complex branching pattern with a main vertical trunk from which multiple primary and secondary branches extend; the branches display a mixture of curvilinear and bifurcating shapes, simulating the natural arterial tree.", + "overview": "Semantic map or groundtruth (GT) of vascular structures extracted from an X-ray coronary angiography image;", + "dataset": "CHUAC dataset;", + "location": "The semantic map is centered on the image, occupying the majority of the image area;", + "size": "The semantic map is medium in size, with the major branches spanning the full height of the image and minor branches covering lesser widths;", + "trend_shape": "The trend of the semantic map is a complex branching pattern with a main vertical trunk from which multiple primary and secondary branches extend; the branches display a mixture of curvilinear and bifurcating shapes, simulating the natural arterial tree." + }, + { + "image": "CHUAC\\training\\annotations\\6gt.png", + "caption": "Semantic map (GT) of an X-ray coronary angiography image;CHUAC dataset;The semantic map is centrally located within the entire image frame;The semantic map occupies the majority of the image space, with sufficient margin around the periphery;The map displays a complex branching pattern with varying thickness, depicting the coronary arterial tree with a main trunk and multiple bifurcations extending outward in a naturally irregular fashion.", + "overview": "Semantic map (GT) of an X-ray coronary angiography image;", + "dataset": "CHUAC dataset;", + "location": "The semantic map is centrally located within the entire image frame;", + "size": "The semantic map occupies the majority of the image space, with sufficient margin around the periphery;", + "trend_shape": "The map displays a complex branching pattern with varying thickness, depicting the coronary arterial tree with a main trunk and multiple bifurcations extending outward in a naturally irregular fashion." + }, + { + "image": "CHUAC\\training\\annotations\\7gt.png", + "caption": "Semantic map (GT) of X-ray coronary angiography;CHUAC dataset;The semantic map is centrally located on a dark background, occupying the middle portion of the image while avoiding the extreme edges;The map extends longitudinally, with varying thickness throughout its length, suggesting the representation of vessel paths and bifurcations;The lines illustrate sinuous trajectories with smooth curves and occasional sharper turns, mimicking natural coronary artery patterns.", + "overview": "Semantic map (GT) of X-ray coronary angiography;", + "dataset": "CHUAC dataset;", + "location": "The semantic map is centrally located on a dark background, occupying the middle portion of the image while avoiding the extreme edges;", + "size": "The map extends longitudinally, with varying thickness throughout its length, suggesting the representation of vessel paths and bifurcations;", + "trend_shape": "The lines illustrate sinuous trajectories with smooth curves and occasional sharper turns, mimicking natural coronary artery patterns." + }, + { + "image": "CHUAC\\training\\annotations\\8gt.png", + "caption": "Semantic map of X-ray coronary angiography;CHUAC dataset;The semantic map is centrally located within the image, extending towards the edges;The size of the semantic map is variable, with some arteries represented by thicker lines and others by thinner lines, indicating differing vessel calibers;The trend of the semantic map shows a branching pattern characteristic of coronary arteries, with a mixture of smooth curves and bifurcations illustrating the anatomical structure of the vasculature.", + "overview": "Semantic map of X-ray coronary angiography;", + "dataset": "CHUAC dataset;", + "location": "The semantic map is centrally located within the image, extending towards the edges;", + "size": "The size of the semantic map is variable, with some arteries represented by thicker lines and others by thinner lines, indicating differing vessel calibers;", + "trend_shape": "The trend of the semantic map shows a branching pattern characteristic of coronary arteries, with a mixture of smooth curves and bifurcations illustrating the anatomical structure of the vasculature." + }, + { + "image": "CHUAC\\test\\images\\13img.png", + "caption": "X-ray coronary angiography image showing contrast-filled coronary arteries;CHUAC dataset;The coronary angiography is centralized within the image, prominently displaying the left coronary artery system;The angiography displays fine to medium-sized vasculature with varying degrees of luminal diameter reflective of the arterial hierarchy;The vessels demonstrate a sinuous trend and tapering shape, with a visible branching pattern consistent with typical coronary arterial anatomy;Uniform, low-contrast background with soft tissue and skeletal structures faintly visible.", + "overview": "X-ray coronary angiography image showing contrast-filled coronary arteries;", + "dataset": "CHUAC dataset;", + "location": "The coronary angiography is centralized within the image, prominently displaying the left coronary artery system;", + "size": "The angiography displays fine to medium-sized vasculature with varying degrees of luminal diameter reflective of the arterial hierarchy;", + "trend_shape": "The vessels demonstrate a sinuous trend and tapering shape, with a visible branching pattern consistent with typical coronary arterial anatomy;", + "background": "Uniform, low-contrast background with soft tissue and skeletal structures faintly visible." + }, + { + "image": "CHUAC\\test\\images\\14img.png", + "caption": "X-ray image of a coronary angiography procedure with contrast material visualizing the coronary arteries;CHUAC dataset;Coronary angiography is centrally located, with the main arteries and branches radiating from the aorta;Tree-like coronary arterial system with varying vessel calibers, principal branches approximately 2-4 mm in diameter, tapering as they extend;Dominant left coronary artery with a prominent left anterior descending (LAD) and left circumflex (LCX) branch, slight irregularities suggesting possible atherosclerotic changes, overall patent lumens with smooth flow of contrast;Low contrast background containing faint outlines of cardiac silhouette and mediastinal structures.", + "overview": "X-ray image of a coronary angiography procedure with contrast material visualizing the coronary arteries;", + "dataset": "CHUAC dataset;", + "location": "Coronary angiography is centrally located, with the main arteries and branches radiating from the aorta;", + "size": "Tree-like coronary arterial system with varying vessel calibers, principal branches approximately 2-4 mm in diameter, tapering as they extend;", + "trend_shape": "Dominant left coronary artery with a prominent left anterior descending (LAD) and left circumflex (LCX) branch, slight irregularities suggesting possible atherosclerotic changes, overall patent lumens with smooth flow of contrast;", + "background": "Low contrast background containing faint outlines of cardiac silhouette and mediastinal structures." + }, + { + "image": "CHUAC\\test\\images\\15img.png", + "caption": "X-ray image showing the contrast-filled coronary arteries of the heart;CHUAC dataset;Coronary angiography prominently displayed in the center of the image;Average apparent diameter of the major vessels is approximately 2-4mm;The coronary angiography reveals complex branching with a tortuous pathway and bifurcations, with the left coronary artery (LCA) and its major branches, the left anterior descending (LAD) and the left circumflex (LCx) arteries, being visible;Homogeneous greyscale background with cardiac silhouette and thoracic structures.", + "overview": "X-ray image showing the contrast-filled coronary arteries of the heart;", + "dataset": "CHUAC dataset;", + "location": "Coronary angiography prominently displayed in the center of the image;", + "size": "Average apparent diameter of the major vessels is approximately 2-4mm;", + "trend_shape": "The coronary angiography reveals complex branching with a tortuous pathway and bifurcations, with the left coronary artery (LCA) and its major branches, the left anterior descending (LAD) and the left circumflex (LCx) arteries, being visible;", + "background": "Homogeneous greyscale background with cardiac silhouette and thoracic structures." + }, + { + "image": "CHUAC\\test\\images\\16img.png", + "caption": "Monochromatic X-ray image displaying the cardiovascular system during a coronary angiography procedure;CHUAC dataset;The coronary angiography is centrally located in the image, showcasing the arteries branching from the base of the aorta;The coronary arteries vary in size, with the main vessels being thicker and clearly visible while the distal branches become finer and less distinct;The arteries exhibit a curvilinear shape, with smooth contours and a dynamic trend progressing from broader origins to tapering ends, following typical arterial pathways;Homogeneous, dark background with varying shades of gray outlining anatomical structures.", + "overview": "Monochromatic X-ray image displaying the cardiovascular system during a coronary angiography procedure;", + "dataset": "CHUAC dataset;", + "location": "The coronary angiography is centrally located in the image, showcasing the arteries branching from the base of the aorta;", + "size": "The coronary arteries vary in size, with the main vessels being thicker and clearly visible while the distal branches become finer and less distinct;", + "trend_shape": "The arteries exhibit a curvilinear shape, with smooth contours and a dynamic trend progressing from broader origins to tapering ends, following typical arterial pathways;", + "background": "Homogeneous, dark background with varying shades of gray outlining anatomical structures." + }, + { + "image": "CHUAC\\test\\images\\17img.png", + "caption": "X-ray image showing the contrast-enhanced coronary arteries of the heart;CHUAC dataset;Coronary angiography is prominently visible in the center, branching upwards and leftward;The coronary arteries vary in size, from large proximal segments to finer distal branches;Angiography reveals a branching pattern that resembles a tree, with a tortuous course and smooth contours without visible interruptions or significant irregularities;The background is homogenous and radiolucent with faint outlines of anatomical structures.", + "overview": "X-ray image showing the contrast-enhanced coronary arteries of the heart;", + "dataset": "CHUAC dataset;", + "location": "Coronary angiography is prominently visible in the center, branching upwards and leftward;", + "size": "The coronary arteries vary in size, from large proximal segments to finer distal branches;", + "trend_shape": "Angiography reveals a branching pattern that resembles a tree, with a tortuous course and smooth contours without visible interruptions or significant irregularities;", + "background": "The background is homogenous and radiolucent with faint outlines of anatomical structures." + }, + { + "image": "CHUAC\\test\\images\\18img.png", + "caption": "Monochrome X-ray image of coronary arteries with contrast;CHUAC dataset;Coronary angiography is centrally located, displaying the heart's arterial network;Vessel diameters ranging from very narrow to moderate, not uniform throughout;Arteries exhibit a tortuous pattern with curving and branching, some areas show potential narrowing or blockages, indicating possible atherosclerotic changes;Homogeneous, dark background with minimal noise.", + "overview": "Monochrome X-ray image of coronary arteries with contrast;", + "dataset": "CHUAC dataset;", + "location": "Coronary angiography is centrally located, displaying the heart's arterial network;", + "size": "Vessel diameters ranging from very narrow to moderate, not uniform throughout;", + "trend_shape": "Arteries exhibit a tortuous pattern with curving and branching, some areas show potential narrowing or blockages, indicating possible atherosclerotic changes;", + "background": "Homogeneous, dark background with minimal noise." + }, + { + "image": "CHUAC\\test\\images\\21img.png", + "caption": "Monochrome X-ray image displaying the arterial structure of the human heart;CHUAC dataset;Coronary angiography is centered slightly to the left, occupying the upper half of the image;The coronary angiography appears to have vessels of varying sizes, with the main arteries being prominent and tapering into finer branches;Arteries exhibit a branching pattern, starting wide near the catheter insertion point and narrowing as they extend across the heart with a smooth curvature;The background shows the silhouette of the thoracic cavity.", + "overview": "Monochrome X-ray image displaying the arterial structure of the human heart;", + "dataset": "CHUAC dataset;", + "location": "Coronary angiography is centered slightly to the left, occupying the upper half of the image;", + "size": "The coronary angiography appears to have vessels of varying sizes, with the main arteries being prominent and tapering into finer branches;", + "trend_shape": "Arteries exhibit a branching pattern, starting wide near the catheter insertion point and narrowing as they extend across the heart with a smooth curvature;", + "background": "The background shows the silhouette of the thoracic cavity." + }, + { + "image": "CHUAC\\test\\images\\23img.png", + "caption": "X-ray image showing coronary arteries filled with contrast medium;CHUAC dataset;Coronary angiography prominently visible in the central to upper region of the image;Size varies from large proximal coronary arteries to finer distal branches;Arteries exhibit a predominantly curvilinear trajectory with branching patterns; tapering from larger to smaller calibers towards the periphery;Homogeneous grayscale background with soft tissue shadows.", + "overview": "X-ray image showing coronary arteries filled with contrast medium;", + "dataset": "CHUAC dataset;", + "location": "Coronary angiography prominently visible in the central to upper region of the image;", + "size": "Size varies from large proximal coronary arteries to finer distal branches;", + "trend_shape": "Arteries exhibit a predominantly curvilinear trajectory with branching patterns; tapering from larger to smaller calibers towards the periphery;", + "background": "Homogeneous grayscale background with soft tissue shadows." + }, + { + "image": "CHUAC\\test\\annotations\\13gt.png", + "caption": "Black and white image representing a semantic map or ground truth (GT) of an X-ray coronary angiography;CHUAC dataset;The semantic map is centered in the image, occupying the majority of the space;The semantic map is medium-sized relative to the image frame, with varying line thicknesses;The map showcases a complex branching structure with multiple curves and bifurcations, resembling the network of coronary arteries.", + "overview": "Black and white image representing a semantic map or ground truth (GT) of an X-ray coronary angiography;", + "dataset": "CHUAC dataset;", + "location": "The semantic map is centered in the image, occupying the majority of the space;", + "size": "The semantic map is medium-sized relative to the image frame, with varying line thicknesses;", + "trend_shape": "The map showcases a complex branching structure with multiple curves and bifurcations, resembling the network of coronary arteries." + }, + { + "image": "CHUAC\\test\\annotations\\14gt.png", + "caption": "Semantic map of an X-ray coronary angiography image, representing the ground truth (GT) of vascular structures.The CHUAC dataset.The semantic map is centrally located within the image, filling most of the black background.The size of the semantic map is not specified, but it occupies a significant portion of the given image, extending almost to the edges.The trend of the semantic map is branching and bifurcating, resembling tree-like vascular structures with varying widths, with a mixture of both sharp and smooth curves.", + "overview": "Semantic map of an X-ray coronary angiography image, representing the ground truth (GT) of vascular structures.", + "dataset": "The CHUAC dataset.", + "location": "The semantic map is centrally located within the image, filling most of the black background.", + "size": "The size of the semantic map is not specified, but it occupies a significant portion of the given image, extending almost to the edges.", + "trend_shape": "The trend of the semantic map is branching and bifurcating, resembling tree-like vascular structures with varying widths, with a mixture of both sharp and smooth curves." + }, + { + "image": "CHUAC\\test\\annotations\\15gt.png", + "caption": "This image is a semantic map or ground truth (GT) representation of X-ray coronary angiography;from the CHUAC dataset;the map is centrally located, occupying a majority of the image field with a focus on the upper central quadrant;the semantic map's size is relatively large compared to the image canvas, with its longest vessel extending close to the image boundaries, and having various branching vessels that decrease in size;there is a complex network of smoothly curving lines that represent the coronary arteries, with a main trunk from which multiple thinner branches extend outward, involving both acute and obtuse bifurcations and featuring varying lengths and curvatures.", + "overview": "This image is a semantic map or ground truth (GT) representation of X-ray coronary angiography;", + "dataset": "from the CHUAC dataset;", + "location": "the map is centrally located, occupying a majority of the image field with a focus on the upper central quadrant;", + "size": "the semantic map's size is relatively large compared to the image canvas, with its longest vessel extending close to the image boundaries, and having various branching vessels that decrease in size;", + "trend_shape": "there is a complex network of smoothly curving lines that represent the coronary arteries, with a main trunk from which multiple thinner branches extend outward, involving both acute and obtuse bifurcations and featuring varying lengths and curvatures." + }, + { + "image": "CHUAC\\test\\annotations\\16gt.png", + "caption": "Semantic map (GT) of a coronary artery structure from an X-ray angiography;CHUAC dataset;The semantic map is centrally located, covering the middle sections of the image with minor extensions towards the periphery;The semantic map occupies a moderate portion of the image, leaving a significant amount of black, negative space around the structure;The vessels are depicted as linear, branching, and curvilinear structures ranging from thicker primary vessels to thinner secondary and tertiary branches, exhibiting a natural, complex vascular pattern.", + "overview": "Semantic map (GT) of a coronary artery structure from an X-ray angiography;", + "dataset": "CHUAC dataset;", + "location": "The semantic map is centrally located, covering the middle sections of the image with minor extensions towards the periphery;", + "size": "The semantic map occupies a moderate portion of the image, leaving a significant amount of black, negative space around the structure;", + "trend_shape": "The vessels are depicted as linear, branching, and curvilinear structures ranging from thicker primary vessels to thinner secondary and tertiary branches, exhibiting a natural, complex vascular pattern." + }, + { + "image": "CHUAC\\test\\annotations\\17gt.png", + "caption": "Semantic map of an X-ray coronary angiography showing delineated coronary arteries; this is ground truth (GT) used for model training.The dataset is known as CHUAC.The semantic map is centrally located in the image, occupying a majority of the view without touching the edges, providing a clear representation of coronary arteries in a two-dimensional view.The size of the semantic map is large, with exact dimensions and resolution relative to the image not specified, but the coronary arteries' representation extends vertically from near the top to the bottom and horizontally across the central part of the image.The trend of the semantic map shows branching patterns typical of coronary arteries, with tapering vessel calibers and bifurcations; the shape follows the anatomical layout of cardiac vasculature, with smooth curves and linear segments, indicative of major coronary arteries and their smaller branches.", + "overview": "Semantic map of an X-ray coronary angiography showing delineated coronary arteries; this is ground truth (GT) used for model training.", + "dataset": "The dataset is known as CHUAC.", + "location": "The semantic map is centrally located in the image, occupying a majority of the view without touching the edges, providing a clear representation of coronary arteries in a two-dimensional view.", + "size": "The size of the semantic map is large, with exact dimensions and resolution relative to the image not specified, but the coronary arteries' representation extends vertically from near the top to the bottom and horizontally across the central part of the image.", + "trend_shape": "The trend of the semantic map shows branching patterns typical of coronary arteries, with tapering vessel calibers and bifurcations; the shape follows the anatomical layout of cardiac vasculature, with smooth curves and linear segments, indicative of major coronary arteries and their smaller branches." + }, + { + "image": "CHUAC\\test\\annotations\\18gt.png", + "caption": "A simplified, high-contrast semantic map of a coronary angiography, representing the ground truth (GT) for vessel segmentation.CHUAC dataset.The semantic map is centralized in the image, taking up a majority of the central visual field.The size of the semantic map is extensive, reaching nearly the full extent of the image borders in both the vertical and horizontal dimensions.The trend of the semantic map is complex, with multiple branching patterns indicative of coronary vasculature; the shape is elongated with several bifurcations and variations in vessel diameter, mimicking the natural arterial tree found in the heart.", + "overview": "A simplified, high-contrast semantic map of a coronary angiography, representing the ground truth (GT) for vessel segmentation.", + "dataset": "CHUAC dataset.", + "location": "The semantic map is centralized in the image, taking up a majority of the central visual field.", + "size": "The size of the semantic map is extensive, reaching nearly the full extent of the image borders in both the vertical and horizontal dimensions.", + "trend_shape": "The trend of the semantic map is complex, with multiple branching patterns indicative of coronary vasculature; the shape is elongated with several bifurcations and variations in vessel diameter, mimicking the natural arterial tree found in the heart." + }, + { + "image": "CHUAC\\test\\annotations\\19gt.png", + "caption": "Groundtruth (GT) semantic map of a coronary angiography image;CHUAC dataset;The semantic map is centrally located within the image, predominantly occupying the upper two-thirds of the space;The semantic map takes up most of the image area, with the coronary vessels displayed in a thin white outline on a black background;The map shows a complex vascular structure with a main vessel bifurcating into smaller branches; vessels extend linearly with curves and bifurcations indicative of coronary arteries.", + "overview": "Groundtruth (GT) semantic map of a coronary angiography image;", + "dataset": "CHUAC dataset;", + "location": "The semantic map is centrally located within the image, predominantly occupying the upper two-thirds of the space;", + "size": "The semantic map takes up most of the image area, with the coronary vessels displayed in a thin white outline on a black background;", + "trend_shape": "The map shows a complex vascular structure with a main vessel bifurcating into smaller branches; vessels extend linearly with curves and bifurcations indicative of coronary arteries." + }, + { + "image": "CHUAC\\test\\annotations\\21gt.png", + "caption": "Semantic map of an X-ray coronary angiography image, representing ground truth data (GT);CHUAC dataset;The semantic map covers the central and upper portions of the image, outlining the coronary artery system with a majority of the lines concentrated in the center;The width of the coronary representation varies, with some lines as thin as 1 pixel and others up to approximately 4-5 pixels in width, while the height of the map spans nearly the entire height of the image;Arterial structures are depicted with curvilinear and branching patterns, with several bifurcations and a mixture of longer uninterrupted lines representing main vessels and shorter segments indicating smaller branches.", + "overview": "Semantic map of an X-ray coronary angiography image, representing ground truth data (GT);", + "dataset": "CHUAC dataset;", + "location": "The semantic map covers the central and upper portions of the image, outlining the coronary artery system with a majority of the lines concentrated in the center;", + "size": "The width of the coronary representation varies, with some lines as thin as 1 pixel and others up to approximately 4-5 pixels in width, while the height of the map spans nearly the entire height of the image;", + "trend_shape": "Arterial structures are depicted with curvilinear and branching patterns, with several bifurcations and a mixture of longer uninterrupted lines representing main vessels and shorter segments indicating smaller branches." + }, + { + "image": "CHUAC\\test\\annotations\\23gt.png", + "caption": "Semantic map of X-ray coronary angiography, representing vascular structures as ground truth (GT);CHUAC dataset;Central and upper parts of the image, sparse distribution in the lower part;Map exhibits varying vessel thickness, with some lines almost spanning the image diagonally;Linear and curvilinear structures, with branching patterns typical for coronary arteries, exhibiting both smooth curves and sharper angles.", + "overview": "Semantic map of X-ray coronary angiography, representing vascular structures as ground truth (GT);", + "dataset": "CHUAC dataset;", + "location": "Central and upper parts of the image, sparse distribution in the lower part;", + "size": "Map exhibits varying vessel thickness, with some lines almost spanning the image diagonally;", + "trend_shape": "Linear and curvilinear structures, with branching patterns typical for coronary arteries, exhibiting both smooth curves and sharper angles." + }, + { + "image": "DCA1\\training\\images\\0img.png", + "caption": "Monochrome X-ray image depicting coronary arteries;DCA1 dataset;Coronary angiography visible in the central region extending towards the upper right quadrant;The coronary angiography displays vessels of varying diameter, from 1 to 5 millimeters;Arteries exhibit a branching structure with curvilinear and tortuous segments, indicating the presence of typical coronary arterial branching with proximal to distal tapering;Homogeneous gray backdrop with soft tissue contrast.", + "overview": "Monochrome X-ray image depicting coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography visible in the central region extending towards the upper right quadrant;", + "size": "The coronary angiography displays vessels of varying diameter, from 1 to 5 millimeters;", + "trend_shape": "Arteries exhibit a branching structure with curvilinear and tortuous segments, indicating the presence of typical coronary arterial branching with proximal to distal tapering;", + "background": "Homogeneous gray backdrop with soft tissue contrast." + }, + { + "image": "DCA1\\training\\images\\101img.png", + "caption": "X-ray coronary angiography image showing contrast-filled coronary arteries;DCA1 dataset;The coronary angiography is centrally located, displaying the left and right coronary arteries;The coronary angiography shows arteries of varying size, with luminal diameters ranging from small to medium as visible in the image;The angiography exhibits a tortuous course with smooth curves and bifurcations, indicative of normal coronary artery anatomy;The background is homogeneous and slightly grainy, characteristic of X-ray imaging without extraneous structures.", + "overview": "X-ray coronary angiography image showing contrast-filled coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is centrally located, displaying the left and right coronary arteries;", + "size": "The coronary angiography shows arteries of varying size, with luminal diameters ranging from small to medium as visible in the image;", + "trend_shape": "The angiography exhibits a tortuous course with smooth curves and bifurcations, indicative of normal coronary artery anatomy;", + "background": "The background is homogeneous and slightly grainy, characteristic of X-ray imaging without extraneous structures." + }, + { + "image": "DCA1\\training\\images\\103img.png", + "caption": "Monochrome X-ray image showing contrast-enhanced coronary arteries;DCA1 dataset;The angiography is centrally located;The coronary angiography displays major vessels of varying diameters, from approximately 2-4mm;Vessels demonstrate tortuous paths with both smooth curves and sharper angles indicative of normal coronary artery anatomical variations;The background is a uniform and diffuse grayscale field.", + "overview": "Monochrome X-ray image showing contrast-enhanced coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "The angiography is centrally located;", + "size": "The coronary angiography displays major vessels of varying diameters, from approximately 2-4mm;", + "trend_shape": "Vessels demonstrate tortuous paths with both smooth curves and sharper angles indicative of normal coronary artery anatomical variations;", + "background": "The background is a uniform and diffuse grayscale field." + }, + { + "image": "DCA1\\training\\images\\105img.png", + "caption": "Medical grayscale image depicting details of coronary circulation;DCA1 dataset;Coronary angiography is centrally located, displaying the left coronary artery system;The angiographic view shows vessels of varying calibers, with the main trunk being around 3-4 mm, tapering into smaller branches;The arteries exhibit a tortuous trend with smooth, curvilinear shapes, indicative of normal arterial branching and no apparent occlusions;Homogeneous gray background with low contrast, minor artifacts present.", + "overview": "Medical grayscale image depicting details of coronary circulation;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located, displaying the left coronary artery system;", + "size": "The angiographic view shows vessels of varying calibers, with the main trunk being around 3-4 mm, tapering into smaller branches;", + "trend_shape": "The arteries exhibit a tortuous trend with smooth, curvilinear shapes, indicative of normal arterial branching and no apparent occlusions;", + "background": "Homogeneous gray background with low contrast, minor artifacts present." + }, + { + "image": "DCA1\\training\\images\\107img.png", + "caption": "This is an X-ray image of a coronary angiography showcasing the coronary arteries of the heart;The image is from the DCA1 dataset;The coronary angiography is located centrally in the image, with the main coronary arteries visible and branching out;The size of the coronary angiography appears to cover a substantial area of the image, with main coronary vessels being prominent and secondary branches tapering off;The trend shows a normal coronary artery distribution with smooth, curvilinear arteries branching from the main coronary artery, indicating a lack of significant stenosis;The background is consistent with soft tissue density with no other anatomical structures in clear view.", + "overview": "This is an X-ray image of a coronary angiography showcasing the coronary arteries of the heart;", + "dataset": "The image is from the DCA1 dataset;", + "location": "The coronary angiography is located centrally in the image, with the main coronary arteries visible and branching out;", + "size": "The size of the coronary angiography appears to cover a substantial area of the image, with main coronary vessels being prominent and secondary branches tapering off;", + "trend_shape": "The trend shows a normal coronary artery distribution with smooth, curvilinear arteries branching from the main coronary artery, indicating a lack of significant stenosis;", + "background": "The background is consistent with soft tissue density with no other anatomical structures in clear view." + }, + { + "image": "DCA1\\training\\images\\109img.png", + "caption": "Monochrome X-ray image displaying the cardiac silhouette and coronary artery structures post-contrast injection;DCA1 dataset;Coronary angiography predominantly visualized in the central region, traversing vertically near the midline before curving superiorly;Variable vessel size with proximal segments appearing broader and tapering distally;Trend exhibits a smooth progression with natural curvatures and branching indicative of arterial vasculature, and shape demonstrates typical coronary artery anatomy with main branches and possible side branches visible;Homogenous grey background with low-detail anatomical structures.", + "overview": "Monochrome X-ray image displaying the cardiac silhouette and coronary artery structures post-contrast injection;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography predominantly visualized in the central region, traversing vertically near the midline before curving superiorly;", + "size": "Variable vessel size with proximal segments appearing broader and tapering distally;", + "trend_shape": "Trend exhibits a smooth progression with natural curvatures and branching indicative of arterial vasculature, and shape demonstrates typical coronary artery anatomy with main branches and possible side branches visible;", + "background": "Homogenous grey background with low-detail anatomical structures." + }, + { + "image": "DCA1\\training\\images\\111img.png", + "caption": "X-ray image showing contrast-filled coronary arteries;DCA1 dataset;Coronary angiography visible centrally in the image, predominating in the lower half;Variable size, with main branches being more prominent and tapering towards the periphery;Multiple branching vessels with smooth-walled, tortuous, and curvilinear shapes;Homogenous, low-contrast background without distinct features.", + "overview": "X-ray image showing contrast-filled coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography visible centrally in the image, predominating in the lower half;", + "size": "Variable size, with main branches being more prominent and tapering towards the periphery;", + "trend_shape": "Multiple branching vessels with smooth-walled, tortuous, and curvilinear shapes;", + "background": "Homogenous, low-contrast background without distinct features." + }, + { + "image": "DCA1\\training\\images\\114img.png", + "caption": "Monochrome X-ray image showing the cardiovascular system;DCA1 dataset;Coronary angiography is located centrally within the image, depicting the heart's left coronary artery system;The size of the coronary angiography is moderate, displaying the main coronary arteries and their branches;The angiography shows a normal trend with smooth, curvilinear vessels that taper gradually. The left anterior descending (LAD) artery can be seen prominently with a diagonal branch, while the circumflex artery branches laterally;The background is uniform and nondescript, predominantly dark with subtle variations in grayscale consistent with soft tissue and other anatomical structures not in focus.", + "overview": "Monochrome X-ray image showing the cardiovascular system;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is located centrally within the image, depicting the heart's left coronary artery system;", + "size": "The size of the coronary angiography is moderate, displaying the main coronary arteries and their branches;", + "trend_shape": "The angiography shows a normal trend with smooth, curvilinear vessels that taper gradually. The left anterior descending (LAD) artery can be seen prominently with a diagonal branch, while the circumflex artery branches laterally;", + "background": "The background is uniform and nondescript, predominantly dark with subtle variations in grayscale consistent with soft tissue and other anatomical structures not in focus." + }, + { + "image": "DCA1\\training\\images\\115img.png", + "caption": "High-contrast image of a coronary artery structure with surrounding cardiac tissue;DCA1 dataset;The coronary angiography is displayed centrally, predominantly on the upper half of the image;The coronary angiography reveals vessels of varying calibers, with main branches approximately 2-4 mm in width;The vessels display a branching pattern with tortuosity, and there are both smooth and irregular contour trends;The background is uniformly dark, providing contrast to the highlighted coronary structures.", + "overview": "High-contrast image of a coronary artery structure with surrounding cardiac tissue;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is displayed centrally, predominantly on the upper half of the image;", + "size": "The coronary angiography reveals vessels of varying calibers, with main branches approximately 2-4 mm in width;", + "trend_shape": "The vessels display a branching pattern with tortuosity, and there are both smooth and irregular contour trends;", + "background": "The background is uniformly dark, providing contrast to the highlighted coronary structures." + }, + { + "image": "DCA1\\training\\images\\117img.png", + "caption": "Monochrome X-ray image of a coronary angiography displaying the arteries of the heart;DCA1 dataset;The coronary angiography is predominantly located in the central portion of the image, with the main structures visible as a network of contrast-filled vessels;The vessels range from fine to medium in caliber, with some segments appearing as fine as 1-2 mm and others around 3-4 mm;The angiography shows a sinuous trend with both smooth curves and sharper bends, indicative of the natural curvature of the coronary arteries as well as the branching pattern;The background is uniform and indistinct, providing contrast to the highlighted coronary angiography.", + "overview": "Monochrome X-ray image of a coronary angiography displaying the arteries of the heart;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is predominantly located in the central portion of the image, with the main structures visible as a network of contrast-filled vessels;", + "size": "The vessels range from fine to medium in caliber, with some segments appearing as fine as 1-2 mm and others around 3-4 mm;", + "trend_shape": "The angiography shows a sinuous trend with both smooth curves and sharper bends, indicative of the natural curvature of the coronary arteries as well as the branching pattern;", + "background": "The background is uniform and indistinct, providing contrast to the highlighted coronary angiography." + }, + { + "image": "DCA1\\training\\images\\119img.png", + "caption": "Monochromatic X-ray image displaying contrast-enhanced coronary arteries;DCA1 dataset;The coronary angiography is centrally located within the image, displaying a branching vascular structure overlying the cardiac silhouette;The angiography shows arteries of varying sizes, with major vessels having a more prominent and wider diameter compared to smaller, more distal branches;The coronary angiography reveals vessels with a sinuous trend and a predominantly curvilinear shape, with some minor irregularities possibly indicative of vascular pathology;Uniform gray tones with low contrast and subtle anatomical shadows constitute the background.", + "overview": "Monochromatic X-ray image displaying contrast-enhanced coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is centrally located within the image, displaying a branching vascular structure overlying the cardiac silhouette;", + "size": "The angiography shows arteries of varying sizes, with major vessels having a more prominent and wider diameter compared to smaller, more distal branches;", + "trend_shape": "The coronary angiography reveals vessels with a sinuous trend and a predominantly curvilinear shape, with some minor irregularities possibly indicative of vascular pathology;", + "background": "Uniform gray tones with low contrast and subtle anatomical shadows constitute the background." + }, + { + "image": "DCA1\\training\\images\\121img.png", + "caption": "X-ray coronary angiography showing contrast-filled coronary arteries;DCA1 dataset;The coronary angiography image prominently displays the left coronary artery system in the center, with the left anterior descending artery and circumflex artery branches evident;The coronary arteries vary in size with the left anterior descending artery being prominent and approximately 2-4 mm in diameter;The coronary arteries display a sinuous and branching trend, with the left anterior descending artery exhibiting a curved pattern and the smaller branches tapering in caliber;The background is a uniform, translucent grey indicating soft tissues and cardiac silhouette.", + "overview": "X-ray coronary angiography showing contrast-filled coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography image prominently displays the left coronary artery system in the center, with the left anterior descending artery and circumflex artery branches evident;", + "size": "The coronary arteries vary in size with the left anterior descending artery being prominent and approximately 2-4 mm in diameter;", + "trend_shape": "The coronary arteries display a sinuous and branching trend, with the left anterior descending artery exhibiting a curved pattern and the smaller branches tapering in caliber;", + "background": "The background is a uniform, translucent grey indicating soft tissues and cardiac silhouette." + }, + { + "image": "DCA1\\training\\images\\123img.png", + "caption": "Monochrome X-ray image depicting a detailed coronary angiogram;DCA1 dataset;The coronary angiography is centrally located, with the main arterial structures visible in the mid to upper region of the image;The coronary arteries vary in size, with some segments appearing narrow and others wider, indicating possible variations in vessel diameter or branching;The coronary angiography reveals a convoluted and branching vascular structure, with a mix of smooth curves and some abrupt turns indicative of the natural arterial pathway;Uniform, greyish background with low contrast, emphasizing the angiography details.", + "overview": "Monochrome X-ray image depicting a detailed coronary angiogram;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is centrally located, with the main arterial structures visible in the mid to upper region of the image;", + "size": "The coronary arteries vary in size, with some segments appearing narrow and others wider, indicating possible variations in vessel diameter or branching;", + "trend_shape": "The coronary angiography reveals a convoluted and branching vascular structure, with a mix of smooth curves and some abrupt turns indicative of the natural arterial pathway;", + "background": "Uniform, greyish background with low contrast, emphasizing the angiography details." + }, + { + "image": "DCA1\\training\\images\\125img.png", + "caption": "X-ray image showing contrast-filled coronary arteries;DCA1 dataset;Coronary angiography is centrally located, with primary vessels originating from the top center and branching downward;The main vessels vary in size, with proximal segments appearing wider than distal segments;Arteries display a sinuous trend with smooth contours and tapering shape towards the periphery;The background is homogeneously dark with minimal artifacts.", + "overview": "X-ray image showing contrast-filled coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located, with primary vessels originating from the top center and branching downward;", + "size": "The main vessels vary in size, with proximal segments appearing wider than distal segments;", + "trend_shape": "Arteries display a sinuous trend with smooth contours and tapering shape towards the periphery;", + "background": "The background is homogeneously dark with minimal artifacts." + }, + { + "image": "DCA1\\training\\images\\127img.png", + "caption": "Monochromatic X-ray image of coronary arteries;DCA1 dataset;Coronary angiography is centrally located, displaying major coronary vessels;Variable vessel size with main arteries being prominently visible and tapering into smaller branches;Complex branching pattern with smooth curves and bifurcations, indicative of the coronary artery structure;Homogeneous gray background with soft tissue shadows.", + "overview": "Monochromatic X-ray image of coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located, displaying major coronary vessels;", + "size": "Variable vessel size with main arteries being prominently visible and tapering into smaller branches;", + "trend_shape": "Complex branching pattern with smooth curves and bifurcations, indicative of the coronary artery structure;", + "background": "Homogeneous gray background with soft tissue shadows." + }, + { + "image": "DCA1\\training\\images\\129img.png", + "caption": "Monochrome X-ray image of a coronary angiography with high contrast between blood vessels and background;DCA1 dataset;The coronary angiography is predominantly located in the upper portion of the image, displaying the intricate arterial network;The coronary angiography shows arteries of varying sizes, with the main coronary artery being prominent and several smaller branches visible;The angiography reveals a smooth trend with curves and bifurcations typical of coronary vasculature; the shape of the vessels appears tortuous with both large curvilinear and smaller, complex branching patterns;The background is uniform and dark, providing a clear contrast to the vascular structures.", + "overview": "Monochrome X-ray image of a coronary angiography with high contrast between blood vessels and background;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is predominantly located in the upper portion of the image, displaying the intricate arterial network;", + "size": "The coronary angiography shows arteries of varying sizes, with the main coronary artery being prominent and several smaller branches visible;", + "trend_shape": "The angiography reveals a smooth trend with curves and bifurcations typical of coronary vasculature; the shape of the vessels appears tortuous with both large curvilinear and smaller, complex branching patterns;", + "background": "The background is uniform and dark, providing a clear contrast to the vascular structures." + }, + { + "image": "DCA1\\training\\images\\131img.png", + "caption": "Monochromatic X-ray image featuring a coronary angiography with high contrast between the blood vessels and the surrounding tissues.DCA1 dataset.The coronary angiography is centrally located, dominating the middle portion of the image with branching vessels extending towards the periphery.The vessels vary in size from the main trunk vessel, which is more prominent, to smaller branching vessels which taper towards the edges of the image.The angiography shows a relatively smooth trend with a few mild curves in the larger vessels; the smaller branches appear more delicate and have a more tortuous shape.The background is uniform and dark, providing a stark contrast to the highlighted vasculature.", + "overview": "Monochromatic X-ray image featuring a coronary angiography with high contrast between the blood vessels and the surrounding tissues.", + "dataset": "DCA1 dataset.", + "location": "The coronary angiography is centrally located, dominating the middle portion of the image with branching vessels extending towards the periphery.", + "size": "The vessels vary in size from the main trunk vessel, which is more prominent, to smaller branching vessels which taper towards the edges of the image.", + "trend_shape": "The angiography shows a relatively smooth trend with a few mild curves in the larger vessels; the smaller branches appear more delicate and have a more tortuous shape.", + "background": "The background is uniform and dark, providing a stark contrast to the highlighted vasculature." + }, + { + "image": "DCA1\\training\\images\\133img.png", + "caption": "A grayscale X-ray image showcasing the arterial system of the heart via contrast medium;DCA1 dataset;Coronary angiography is centrally located, depicting the left and right coronary arteries and their branches;The coronary angiography display varies from slender to moderately sized vessels, approximately 1-4 mm in width;The arteries exhibit a curvilinear and tortuous trend; the left coronary artery branches into the left anterior descending and circumflex arteries showing a natural, smooth curvature, while the right coronary artery extends with a gentle, serpentine shape;Background is uniformly dark, enhancing the contrast of the angiography.", + "overview": "A grayscale X-ray image showcasing the arterial system of the heart via contrast medium;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located, depicting the left and right coronary arteries and their branches;", + "size": "The coronary angiography display varies from slender to moderately sized vessels, approximately 1-4 mm in width;", + "trend_shape": "The arteries exhibit a curvilinear and tortuous trend; the left coronary artery branches into the left anterior descending and circumflex arteries showing a natural, smooth curvature, while the right coronary artery extends with a gentle, serpentine shape;", + "background": "Background is uniformly dark, enhancing the contrast of the angiography." + }, + { + "image": "DCA1\\training\\images\\136img.png", + "caption": "Monochromatic X-ray image showing the contrast-filled coronary arteries of a human heart.DCA1 dataset.The angiography prominently visualizes the left side of the heart, including the left coronary artery system.The size of the coronary vessels displayed varies, with the proximal segments appearing wider than the distal segments.The coronary arteries exhibit a curved and branching pattern; the left anterior descending artery extends downwards towards the apex of the heart, while the circumflex artery branches off to the side.The background is uniformly dark with gradients of gray, typical for X-ray images, emphasizing the contrast-filled vessels.", + "overview": "Monochromatic X-ray image showing the contrast-filled coronary arteries of a human heart.", + "dataset": "DCA1 dataset.", + "location": "The angiography prominently visualizes the left side of the heart, including the left coronary artery system.", + "size": "The size of the coronary vessels displayed varies, with the proximal segments appearing wider than the distal segments.", + "trend_shape": "The coronary arteries exhibit a curved and branching pattern; the left anterior descending artery extends downwards towards the apex of the heart, while the circumflex artery branches off to the side.", + "background": "The background is uniformly dark with gradients of gray, typical for X-ray images, emphasizing the contrast-filled vessels." + }, + { + "image": "DCA1\\training\\images\\137img.png", + "caption": "Monochromatic X-ray image of a human chest showing the coronary arteries after contrast injection;DCA1 dataset;Coronary angiography prominently displayed in the center extending to the left side of the image;Major arteries varying from 2 to 4 mm in diameter, with smaller branching vessels;Main coronary artery with a smooth, curved trajectory, tapering into finer arborized branches indicative of normal vascular distribution without obvious stenosis;Homogeneous grey background with no distinct features.", + "overview": "Monochromatic X-ray image of a human chest showing the coronary arteries after contrast injection;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography prominently displayed in the center extending to the left side of the image;", + "size": "Major arteries varying from 2 to 4 mm in diameter, with smaller branching vessels;", + "trend_shape": "Main coronary artery with a smooth, curved trajectory, tapering into finer arborized branches indicative of normal vascular distribution without obvious stenosis;", + "background": "Homogeneous grey background with no distinct features." + }, + { + "image": "DCA1\\training\\images\\139img.png", + "caption": "Monochromatic grayscale image displaying contrast-enhanced arterial structures;DCA1 dataset;Coronary angiography is centrally located in the image, showing a branching vascular pattern;Varies in caliber, with some segments appearing narrower suggesting possible stenosis;The vessels demonstrate a tortuous and bifurcating trend, with some areas showing abrupt changes in diameter indicating irregularities;Homogenous gray background with subtle texture variations.", + "overview": "Monochromatic grayscale image displaying contrast-enhanced arterial structures;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located in the image, showing a branching vascular pattern;", + "size": "Varies in caliber, with some segments appearing narrower suggesting possible stenosis;", + "trend_shape": "The vessels demonstrate a tortuous and bifurcating trend, with some areas showing abrupt changes in diameter indicating irregularities;", + "background": "Homogenous gray background with subtle texture variations." + }, + { + "image": "DCA1\\training\\images\\141img.png", + "caption": "An X-ray image displaying the contrast-filled coronary arteries of the heart.DCA1 dataset.The coronary angiography is centered and slightly offset to the right within the image, predominantly occupying the middle third of the visual field.The size of the coronary angiography representation is large, with vessels extending across the majority of the image width and length.The coronary arteries exhibit complex branching with multiple bifurcations; the main artery appears thick with tapering in the peripheral branches; the trend of arteries is curvilinear, with a mix of both smooth and undulating contours.The background is a uniform grayscale field with soft tissue and bony chest structure shadows.", + "overview": "An X-ray image displaying the contrast-filled coronary arteries of the heart.", + "dataset": "DCA1 dataset.", + "location": "The coronary angiography is centered and slightly offset to the right within the image, predominantly occupying the middle third of the visual field.", + "size": "The size of the coronary angiography representation is large, with vessels extending across the majority of the image width and length.", + "trend_shape": "The coronary arteries exhibit complex branching with multiple bifurcations; the main artery appears thick with tapering in the peripheral branches; the trend of arteries is curvilinear, with a mix of both smooth and undulating contours.", + "background": "The background is a uniform grayscale field with soft tissue and bony chest structure shadows." + }, + { + "image": "DCA1\\training\\images\\143img.png", + "caption": "Monochromatic X-ray image displaying the coronary arteries of the heart with a high contrast between the vascular structures and the surrounding tissues;DCA1 dataset;The image shows the coronary angiography displayed centrally with multiple branching vessels;The coronary angiography size is not quantifiable from the image but appears proportional to expected coronary artery dimensions;Arterial trajectories are tortuous and branching, with varying vessel calibers and a predominance of curvilinear shapes;Homogeneous gray background with soft tissue densities.", + "overview": "Monochromatic X-ray image displaying the coronary arteries of the heart with a high contrast between the vascular structures and the surrounding tissues;", + "dataset": "DCA1 dataset;", + "location": "The image shows the coronary angiography displayed centrally with multiple branching vessels;", + "size": "The coronary angiography size is not quantifiable from the image but appears proportional to expected coronary artery dimensions;", + "trend_shape": "Arterial trajectories are tortuous and branching, with varying vessel calibers and a predominance of curvilinear shapes;", + "background": "Homogeneous gray background with soft tissue densities." + }, + { + "image": "DCA1\\training\\images\\145img.png", + "caption": "X-ray image showing the contrast-enhanced arteries of the heart;DCA1 dataset;The coronary angiography is located centrally in the image, depicting the left coronary artery system.;The coronary angiography reveals vessels of varying sizes, with the main artery appearing to be approximately 2-3 mm in diameter, tapering into smaller branches;The angiography illustrates a tortuous vessel pattern with smooth contours and no apparent interruptions, suggesting normal flow;The background is uniformly dark, enhancing the contrast of the angiographic image.", + "overview": "X-ray image showing the contrast-enhanced arteries of the heart;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is located centrally in the image, depicting the left coronary artery system.;", + "size": "The coronary angiography reveals vessels of varying sizes, with the main artery appearing to be approximately 2-3 mm in diameter, tapering into smaller branches;", + "trend_shape": "The angiography illustrates a tortuous vessel pattern with smooth contours and no apparent interruptions, suggesting normal flow;", + "background": "The background is uniformly dark, enhancing the contrast of the angiographic image." + }, + { + "image": "DCA1\\training\\images\\147img.png", + "caption": "Monochromatic X-ray image displaying a network of coronary arteries;DCA1 dataset;Coronary angiography is centrally located, predominantly occupying the upper half of the image;Varies from slender to medium width, with no uniform size across different branches;Arterial structure diverges from a main trunk with several branching vessels, exhibiting a tortuous and bifurcating pattern;Homogenous grayscale background with soft tissue densities.", + "overview": "Monochromatic X-ray image displaying a network of coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located, predominantly occupying the upper half of the image;", + "size": "Varies from slender to medium width, with no uniform size across different branches;", + "trend_shape": "Arterial structure diverges from a main trunk with several branching vessels, exhibiting a tortuous and bifurcating pattern;", + "background": "Homogenous grayscale background with soft tissue densities." + }, + { + "image": "DCA1\\training\\images\\149img.png", + "caption": "Monochrome X-ray image of a coronary angiography highlighting cardiac vasculature;DCA1 dataset;The coronary angiography is centrally located, predominantly occupying the right half of the image;The coronary angiography reveals vessels of varying size, from larger main branches with a diameter visible in the X-ray to finer capillary networks;The vasculature depicted has a branching, tree-like structure with curvilinear trends, exhibiting both smooth and tortuous sections;Homogeneous, dark background with no distinguishable features.", + "overview": "Monochrome X-ray image of a coronary angiography highlighting cardiac vasculature;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is centrally located, predominantly occupying the right half of the image;", + "size": "The coronary angiography reveals vessels of varying size, from larger main branches with a diameter visible in the X-ray to finer capillary networks;", + "trend_shape": "The vasculature depicted has a branching, tree-like structure with curvilinear trends, exhibiting both smooth and tortuous sections;", + "background": "Homogeneous, dark background with no distinguishable features." + }, + { + "image": "DCA1\\training\\images\\153img.png", + "caption": "X-ray coronary angiography showing contrast-filled coronary arteries;DCA1 dataset;The coronary angiography is predominantly visualized in the upper left quadrant of the image, with the main arterial trunk extending diagonally from the top to the center-left edge;Size is variable, with the main coronary artery visible at a larger caliber than the distal branches which appear finer and tapering;Arteries exhibit a smooth trend with a curvilinear shape, branching out in a tree-like fashion, with some branches curving more acutely than others;Uniform grey background with variations due to X-ray penetration and tissue density.", + "overview": "X-ray coronary angiography showing contrast-filled coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is predominantly visualized in the upper left quadrant of the image, with the main arterial trunk extending diagonally from the top to the center-left edge;", + "size": "Size is variable, with the main coronary artery visible at a larger caliber than the distal branches which appear finer and tapering;", + "trend_shape": "Arteries exhibit a smooth trend with a curvilinear shape, branching out in a tree-like fashion, with some branches curving more acutely than others;", + "background": "Uniform grey background with variations due to X-ray penetration and tissue density." + }, + { + "image": "DCA1\\training\\images\\155img.png", + "caption": "Medical grayscale image of coronary arteries visualized by contrast medium;DCA1 dataset;Coronary angiography predominantly visible in the upper central portion of the image;Variable size with main coronary artery branches measuring between 2 to 4 mm in diameter;Arteries show a tortuous trend with smooth and regular shapes, indicative of normal coronary artery anatomy, no significant stenosis observed;Homogenous dark background with no other discernible structures.", + "overview": "Medical grayscale image of coronary arteries visualized by contrast medium;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography predominantly visible in the upper central portion of the image;", + "size": "Variable size with main coronary artery branches measuring between 2 to 4 mm in diameter;", + "trend_shape": "Arteries show a tortuous trend with smooth and regular shapes, indicative of normal coronary artery anatomy, no significant stenosis observed;", + "background": "Homogenous dark background with no other discernible structures." + }, + { + "image": "DCA1\\training\\images\\158img.png", + "caption": "Monochromatic X-ray image displaying the arterial structure of a human heart;DCA1 dataset;The coronary angiography is centrally located, predominantly in the upper half of the image;Variable size with luminal diameters ranging from narrow to wider segments, consistent with normal calibers of coronary anatomy;The angiography illustrates a complex network with curvilinear and branching patterns, with both smooth and tapered vessel contours;Homogeneous dark background with low opacity.", + "overview": "Monochromatic X-ray image displaying the arterial structure of a human heart;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is centrally located, predominantly in the upper half of the image;", + "size": "Variable size with luminal diameters ranging from narrow to wider segments, consistent with normal calibers of coronary anatomy;", + "trend_shape": "The angiography illustrates a complex network with curvilinear and branching patterns, with both smooth and tapered vessel contours;", + "background": "Homogeneous dark background with low opacity." + }, + { + "image": "DCA1\\training\\images\\159img.png", + "caption": "Monochromatic grayscale X-ray image showing a contrast-enhanced view of the coronary arteries;DCA1 dataset;Coronary angiography is displayed centrally within the image, depicting the heart's arterial structure;Varies in width from approximately 1-5 mm, reflecting the natural tapering of the coronary arteries as they branch out;The angiography shows a branching, tree-like structure with smooth, curved lines, indicating the arteries; several bifurcations and a mixture of linear and curvilinear segments are visible;Homogeneous dark gray background with subtle variations in shading.", + "overview": "Monochromatic grayscale X-ray image showing a contrast-enhanced view of the coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is displayed centrally within the image, depicting the heart's arterial structure;", + "size": "Varies in width from approximately 1-5 mm, reflecting the natural tapering of the coronary arteries as they branch out;", + "trend_shape": "The angiography shows a branching, tree-like structure with smooth, curved lines, indicating the arteries; several bifurcations and a mixture of linear and curvilinear segments are visible;", + "background": "Homogeneous dark gray background with subtle variations in shading." + }, + { + "image": "DCA1\\training\\images\\161img.png", + "caption": "Blurred grayscale X-ray image of a human heart's coronary arteries;DCA1 dataset;The coronary angiography is centrally located in the image, predominantly occupying the middle third;The size of the coronary angiography indicates a magnified view showing fine arterial details;The trend of the coronary angiography displays branching and curving patterns characteristic of blood vessels, with some areas appearing dilated and others narrower suggesting varying vessel calibers;Homogeneous gray background.PUT_CAPTCHA_HERE", + "overview": "Blurred grayscale X-ray image of a human heart's coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is centrally located in the image, predominantly occupying the middle third;", + "size": "The size of the coronary angiography indicates a magnified view showing fine arterial details;", + "trend_shape": "The trend of the coronary angiography displays branching and curving patterns characteristic of blood vessels, with some areas appearing dilated and others narrower suggesting varying vessel calibers;", + "background": "Homogeneous gray background.PUT_CAPTCHA_HERE" + }, + { + "image": "DCA1\\training\\images\\163img.png", + "caption": "X-ray image showing contrast-filled coronary arteries during an angiogram;DCA1 dataset;The coronary angiography is centrally located in the image, showing the left side of the heart with the left coronary artery system predominantly visualized;The coronary angiography displays arteries of varying sizes, with the main branches being several millimeters in diameter;The coronary arteries exhibit a sinuous trend and tapering shape, branching off into smaller vessels with smooth contours, suggestive of normal coronary anatomy without obvious signs of narrowing or blockage;Monochromatic background with low contrast and artifacts typical to X-ray imaging.", + "overview": "X-ray image showing contrast-filled coronary arteries during an angiogram;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is centrally located in the image, showing the left side of the heart with the left coronary artery system predominantly visualized;", + "size": "The coronary angiography displays arteries of varying sizes, with the main branches being several millimeters in diameter;", + "trend_shape": "The coronary arteries exhibit a sinuous trend and tapering shape, branching off into smaller vessels with smooth contours, suggestive of normal coronary anatomy without obvious signs of narrowing or blockage;", + "background": "Monochromatic background with low contrast and artifacts typical to X-ray imaging." + }, + { + "image": "DCA1\\training\\images\\165img.png", + "caption": "X-ray image displaying a contrast-enhanced coronary artery network;DCA1 dataset;The coronary angiography is centrally located, covering the left portion of the image;The coronary angiography displays arteries of varying calibers, with the main artery prominently displayed and branching vessels of smaller diameter extending from it;The main artery exhibits a smooth curvature with a gentle arc, while branching vessels demonstrate a more complex, tortuous course with both linear and curvilinear segments;Homogeneous, dark background providing contrast to the highlighted vasculature.", + "overview": "X-ray image displaying a contrast-enhanced coronary artery network;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is centrally located, covering the left portion of the image;", + "size": "The coronary angiography displays arteries of varying calibers, with the main artery prominently displayed and branching vessels of smaller diameter extending from it;", + "trend_shape": "The main artery exhibits a smooth curvature with a gentle arc, while branching vessels demonstrate a more complex, tortuous course with both linear and curvilinear segments;", + "background": "Homogeneous, dark background providing contrast to the highlighted vasculature." + }, + { + "image": "DCA1\\training\\images\\167img.png", + "caption": "X-ray image displaying the arterial structure of a heart;DCA1 dataset;Coronary angiography is centrally located in the image;Vessels range from fine to medium caliber;Coronary arteries exhibit a branching pattern with smooth contours and a main vessel coursing from the bottom left to the upper right with multiple secondary branches extending peripherally;Homogenous dark background.", + "overview": "X-ray image displaying the arterial structure of a heart;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located in the image;", + "size": "Vessels range from fine to medium caliber;", + "trend_shape": "Coronary arteries exhibit a branching pattern with smooth contours and a main vessel coursing from the bottom left to the upper right with multiple secondary branches extending peripherally;", + "background": "Homogenous dark background." + }, + { + "image": "DCA1\\training\\images\\169img.png", + "caption": "Monochromatic X-ray image of a human chest focusing on cardiac vasculature;DCA1 dataset;Coronary angiography is centrally located, with the main focus on the left coronary artery system;The coronary angiography shows vessels of varying sizes, with the main artery diameter approximately 2-4 mm with tapering branches;The angiography reveals a complex network of arteries with a curvilinear trend; the left coronary artery branches into the left anterior descending artery and the circumflex artery forming smooth, arcuate patterns;Homogeneous, dark background with low contrast.", + "overview": "Monochromatic X-ray image of a human chest focusing on cardiac vasculature;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located, with the main focus on the left coronary artery system;", + "size": "The coronary angiography shows vessels of varying sizes, with the main artery diameter approximately 2-4 mm with tapering branches;", + "trend_shape": "The angiography reveals a complex network of arteries with a curvilinear trend; the left coronary artery branches into the left anterior descending artery and the circumflex artery forming smooth, arcuate patterns;", + "background": "Homogeneous, dark background with low contrast." + }, + { + "image": "DCA1\\training\\images\\171img.png", + "caption": "Medical X-ray image depicting coronary arteries filled with contrast medium;DCA1 dataset;Coronary angiography is centrally located within the image, focusing on the left coronary artery system;Size varies from large main branches to smaller peripheral branches;Trend is upward and to the left from the point of origin, with a branching pattern like a tree; vessels taper off in caliber with distance from the origin, with smooth contours and no overt signs of stenosis visible in this projection;Uniform, dark background typical for angiographic imaging.", + "overview": "Medical X-ray image depicting coronary arteries filled with contrast medium;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located within the image, focusing on the left coronary artery system;", + "size": "Size varies from large main branches to smaller peripheral branches;", + "trend_shape": "Trend is upward and to the left from the point of origin, with a branching pattern like a tree; vessels taper off in caliber with distance from the origin, with smooth contours and no overt signs of stenosis visible in this projection;", + "background": "Uniform, dark background typical for angiographic imaging." + }, + { + "image": "DCA1\\training\\images\\173img.png", + "caption": "Monochromatic X-ray image of coronary arteries with contrast;DCA1 dataset;Central portion of the image displaying branching arterial structures;Varies from 2-4mm in width, with lengths extending across the image;Arteries exhibit curvilinear structures with numerous bifurcations and a mix of smooth and irregular contours;Homogeneous grey background with minimal noise.", + "overview": "Monochromatic X-ray image of coronary arteries with contrast;", + "dataset": "DCA1 dataset;", + "location": "Central portion of the image displaying branching arterial structures;", + "size": "Varies from 2-4mm in width, with lengths extending across the image;", + "trend_shape": "Arteries exhibit curvilinear structures with numerous bifurcations and a mix of smooth and irregular contours;", + "background": "Homogeneous grey background with minimal noise." + }, + { + "image": "DCA1\\training\\images\\175img.png", + "caption": "Unfortunately, I can't assist with this request.", + "overview": "Unfortunately, I can't assist with this request." + }, + { + "image": "DCA1\\training\\images\\177img.png", + "caption": "X-ray image showing contrast-filled coronary arteries;DCA1 dataset;Coronary angiography is centrally located within the image, displaying primary branches;Varies with larger proximal arteries and finer distal branches;Arteries exhibit a tortuous course with varying curvature and branching angles;Homogeneous gray background with gradient shadows.", + "overview": "X-ray image showing contrast-filled coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located within the image, displaying primary branches;", + "size": "Varies with larger proximal arteries and finer distal branches;", + "trend_shape": "Arteries exhibit a tortuous course with varying curvature and branching angles;", + "background": "Homogeneous gray background with gradient shadows." + }, + { + "image": "DCA1\\training\\images\\180img.png", + "caption": "Monochromatic X-ray image displaying the cardiovascular system in a human patient;DCA1 dataset;Coronary angiography visible centrally within the image, predominantly occupying the upper and middle portions;Variable vessel size, with some segments showing narrowing and others normal caliber;Tortuous vessel path with both smoothly curving and more angular bends, contrast medium defines the lumen boundaries, indicating blood flow and vessel integrity;Uniform, gradient gray background without identifiable structures.", + "overview": "Monochromatic X-ray image displaying the cardiovascular system in a human patient;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography visible centrally within the image, predominantly occupying the upper and middle portions;", + "size": "Variable vessel size, with some segments showing narrowing and others normal caliber;", + "trend_shape": "Tortuous vessel path with both smoothly curving and more angular bends, contrast medium defines the lumen boundaries, indicating blood flow and vessel integrity;", + "background": "Uniform, gradient gray background without identifiable structures." + }, + { + "image": "DCA1\\training\\images\\181img.png", + "caption": "Monochromatic X-ray image of coronary arteries with high contrast between the blood vessels and surrounding tissues;DCA1 dataset;Angiography prominently visible in the center of the image;Variable vessel size with main coronary artery diameter roughly ranging from 2 to 5 mm;Coronary angiography displays a curvilinear trend with bifurcations and a tapered shape, no obvious lesions or blockages apparent;Homogeneous, featureless grey background.", + "overview": "Monochromatic X-ray image of coronary arteries with high contrast between the blood vessels and surrounding tissues;", + "dataset": "DCA1 dataset;", + "location": "Angiography prominently visible in the center of the image;", + "size": "Variable vessel size with main coronary artery diameter roughly ranging from 2 to 5 mm;", + "trend_shape": "Coronary angiography displays a curvilinear trend with bifurcations and a tapered shape, no obvious lesions or blockages apparent;", + "background": "Homogeneous, featureless grey background." + }, + { + "image": "DCA1\\training\\images\\183img.png", + "caption": "X-ray coronary angiography showing contrast-filled coronary arteries;DCA1 dataset;The angiography is centrally located, displaying heart vessels;Vessels vary in size with diameters ranging from small to medium, consistent with coronary artery dimensions;The angiography reveals a branching pattern with smooth curves and tapering, suggestive of normal coronary artery anatomy without obvious signs of narrowing or blockage;The background is homogeneously dark, enhancing the contrast of the angiography.", + "overview": "X-ray coronary angiography showing contrast-filled coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "The angiography is centrally located, displaying heart vessels;", + "size": "Vessels vary in size with diameters ranging from small to medium, consistent with coronary artery dimensions;", + "trend_shape": "The angiography reveals a branching pattern with smooth curves and tapering, suggestive of normal coronary artery anatomy without obvious signs of narrowing or blockage;", + "background": "The background is homogeneously dark, enhancing the contrast of the angiography." + }, + { + "image": "DCA1\\training\\images\\185img.png", + "caption": "X-ray coronary angiography displaying contrast-filled coronary arteries;DCA1 dataset;Angiography prominently situated centrally and extending toward the upper right quadrant;Coronary angiography reveals varying vessel diameters ranging from 1mm to 4mm;Complex branching pattern with smooth curves and bifurcations, varying from linear to arc-like trajectories;Uniformly dark background with minimal structural noise.", + "overview": "X-ray coronary angiography displaying contrast-filled coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Angiography prominently situated centrally and extending toward the upper right quadrant;", + "size": "Coronary angiography reveals varying vessel diameters ranging from 1mm to 4mm;", + "trend_shape": "Complex branching pattern with smooth curves and bifurcations, varying from linear to arc-like trajectories;", + "background": "Uniformly dark background with minimal structural noise." + }, + { + "image": "DCA1\\training\\images\\187img.png", + "caption": "Monochrome X-ray image displaying coronary arteries with contrast;Name of the dataset: DCA1;Location of coronary angiography: centrally in the image with branching vessels extending upwards and downwards;Size of the coronary angiography: variable vessel diameters ranging from narrow to wider segments indicative of normal tapering and possibly pathological narrowing;Trend and shape of the coronary angiography: dominant left coronary artery with a prominent left anterior descending branch and a visible circumflex branch, featuring a typical corkscrew appearance and branching pattern;Background: homogeneous, featureless, and dark, serving to highlight the vascular structures.", + "overview": "Monochrome X-ray image displaying coronary arteries with contrast;", + "dataset": "Name of the dataset: DCA1;", + "location": "Location of coronary angiography: centrally in the image with branching vessels extending upwards and downwards;", + "size": "Size of the coronary angiography: variable vessel diameters ranging from narrow to wider segments indicative of normal tapering and possibly pathological narrowing;", + "trend_shape": "Trend and shape of the coronary angiography: dominant left coronary artery with a prominent left anterior descending branch and a visible circumflex branch, featuring a typical corkscrew appearance and branching pattern;", + "background": "Background: homogeneous, featureless, and dark, serving to highlight the vascular structures." + }, + { + "image": "DCA1\\training\\images\\189img.png", + "caption": "Black and white X-ray image displaying contrast-enhanced arterial structures;DCA1 dataset;Coronary angiography prominently in the center and extending upwards towards the top-right corner of the image;The angiography shows a main vessel with varying caliber, from medium to small as it branches out;The main vessel follows a curvilinear path with multiple branching vessels, some forming acute angles, and the shape is consistent with the anatomical distribution of coronary arteries;Homogeneous, translucent background with minimal artifacts.", + "overview": "Black and white X-ray image displaying contrast-enhanced arterial structures;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography prominently in the center and extending upwards towards the top-right corner of the image;", + "size": "The angiography shows a main vessel with varying caliber, from medium to small as it branches out;", + "trend_shape": "The main vessel follows a curvilinear path with multiple branching vessels, some forming acute angles, and the shape is consistent with the anatomical distribution of coronary arteries;", + "background": "Homogeneous, translucent background with minimal artifacts." + }, + { + "image": "DCA1\\training\\images\\191img.png", + "caption": "Monochromatic X-ray image showing the contrast-enhanced outline of coronary arteries;DCA1 dataset;Coronary angiography prominently located in the upper portion of the image, occupying mainly the top left quadrant, with some vessel branches extending towards the center and right side;Variable size with the main coronary artery being the largest structure, tapering into smaller branches;Main coronary artery exhibits a smooth, curving course with no abrupt changes in direction, while smaller branches display more delicate, intricate, and sinuous patterns;The background is uniform and dark, enhancing the contrast of the angiography.", + "overview": "Monochromatic X-ray image showing the contrast-enhanced outline of coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography prominently located in the upper portion of the image, occupying mainly the top left quadrant, with some vessel branches extending towards the center and right side;", + "size": "Variable size with the main coronary artery being the largest structure, tapering into smaller branches;", + "trend_shape": "Main coronary artery exhibits a smooth, curving course with no abrupt changes in direction, while smaller branches display more delicate, intricate, and sinuous patterns;", + "background": "The background is uniform and dark, enhancing the contrast of the angiography." + }, + { + "image": "DCA1\\training\\images\\193img.png", + "caption": "Radiographic image of coronary arteries with contrast;DCA1 dataset;Central to the image, predominantly in the upper left quadrant;Variable size with the main artery prominently displayed and smaller branches tapering off;The main coronary artery exhibits a gently curving trajectory with a smooth contour, while branching arteries display more intricate and fine morphology;Homogenous, dark background with minimal noise.", + "overview": "Radiographic image of coronary arteries with contrast;", + "dataset": "DCA1 dataset;", + "location": "Central to the image, predominantly in the upper left quadrant;", + "size": "Variable size with the main artery prominently displayed and smaller branches tapering off;", + "trend_shape": "The main coronary artery exhibits a gently curving trajectory with a smooth contour, while branching arteries display more intricate and fine morphology;", + "background": "Homogenous, dark background with minimal noise." + }, + { + "image": "DCA1\\training\\images\\195img.png", + "caption": "Monochrome X-ray image depicting coronary arteries filled with contrast medium;DCA1 dataset;The coronary angiography is visible predominantly in the center and upper left quadrant of the image;The coronary arteries range from thin to moderately thick, with varying diameters reflecting normal physiological variations;The trend of the coronary angiography shows a complex network with curvilinear paths, branching patterns, and a tortuous vessel course;Homogeneous grayscale background with minimal artifacts.", + "overview": "Monochrome X-ray image depicting coronary arteries filled with contrast medium;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is visible predominantly in the center and upper left quadrant of the image;", + "size": "The coronary arteries range from thin to moderately thick, with varying diameters reflecting normal physiological variations;", + "trend_shape": "The trend of the coronary angiography shows a complex network with curvilinear paths, branching patterns, and a tortuous vessel course;", + "background": "Homogeneous grayscale background with minimal artifacts." + }, + { + "image": "DCA1\\training\\images\\197img.png", + "caption": "Monochromatic X-ray image displaying the arterial structure of the heart;DCA1 dataset;Coronary angiography is positioned centrally in the image, displaying major coronary arteries;The coronary angiography depicts vessels of varying calibers, the largest measuring over 2mm in diameter;Vessels exhibit a tortuous course with both smooth and irregular contours, suggesting varied vessel wall conditions;The background is homogeneous and radiolucent, enhancing vessel contrast.", + "overview": "Monochromatic X-ray image displaying the arterial structure of the heart;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is positioned centrally in the image, displaying major coronary arteries;", + "size": "The coronary angiography depicts vessels of varying calibers, the largest measuring over 2mm in diameter;", + "trend_shape": "Vessels exhibit a tortuous course with both smooth and irregular contours, suggesting varied vessel wall conditions;", + "background": "The background is homogeneous and radiolucent, enhancing vessel contrast." + }, + { + "image": "DCA1\\training\\images\\199img.png", + "caption": "Medical grayscale X-ray image showing coronary arteries;DCA1 dataset;The coronary angiography is visible in the center, extending to the upper left quadrant of the image;The angiography showcases varying vessel sizes with the main artery being the most prominent and branching vessels tapering in size;The main coronary artery exhibits a smooth curvature, with smaller branches spreading outwards in a tree-like pattern, some showing subtle curves and others with more pronounced bends;Homogeneous grayscale background with a faint circular artifact around the periphery.", + "overview": "Medical grayscale X-ray image showing coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is visible in the center, extending to the upper left quadrant of the image;", + "size": "The angiography showcases varying vessel sizes with the main artery being the most prominent and branching vessels tapering in size;", + "trend_shape": "The main coronary artery exhibits a smooth curvature, with smaller branches spreading outwards in a tree-like pattern, some showing subtle curves and others with more pronounced bends;", + "background": "Homogeneous grayscale background with a faint circular artifact around the periphery." + }, + { + "image": "DCA1\\training\\images\\1img.png", + "caption": "Monochromatic X-ray image displaying a high-contrast view of coronary arteries;DCA1 dataset;The coronary angiography is prominently located centrally and towards the upper left portion of the image;The angiography depicts various sized vessels, ranging from main coronary arteries with larger diameters to smaller branching vessels;Main coronary arteries show smooth contours with branching vessels creating a tree-like vascular pattern, visible tapering in vessel caliber, and some vessels demonstrate subtle curves along their course;Homogenous gray background with low image noise, enhancing vascular structure visibility.", + "overview": "Monochromatic X-ray image displaying a high-contrast view of coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is prominently located centrally and towards the upper left portion of the image;", + "size": "The angiography depicts various sized vessels, ranging from main coronary arteries with larger diameters to smaller branching vessels;", + "trend_shape": "Main coronary arteries show smooth contours with branching vessels creating a tree-like vascular pattern, visible tapering in vessel caliber, and some vessels demonstrate subtle curves along their course;", + "background": "Homogenous gray background with low image noise, enhancing vascular structure visibility." + }, + { + "image": "DCA1\\training\\images\\202img.png", + "caption": "Monochromatic X-ray image displaying the contrast-filled coronary arteries of a heart;DCA1 dataset;Coronary angiography is centrally located, depicting the left coronary artery system;The coronary angiography shows vessels of varying diameters, with the main artery approximately 3-4 mm in diameter, tapering to smaller branches;The arteries exhibit a sinuous course with a smooth contour, the left anterior descending artery extends downwards before branching, while the circumflex artery follows a more curvilinear path;The image background is uniform with low contrast, enhancing the visibility of the coronary arteries.", + "overview": "Monochromatic X-ray image displaying the contrast-filled coronary arteries of a heart;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located, depicting the left coronary artery system;", + "size": "The coronary angiography shows vessels of varying diameters, with the main artery approximately 3-4 mm in diameter, tapering to smaller branches;", + "trend_shape": "The arteries exhibit a sinuous course with a smooth contour, the left anterior descending artery extends downwards before branching, while the circumflex artery follows a more curvilinear path;", + "background": "The image background is uniform with low contrast, enhancing the visibility of the coronary arteries." + }, + { + "image": "DCA1\\training\\images\\203img.png", + "caption": "X-ray image of a human chest displaying coronary arteries;DCA1 dataset;The coronary angiography is highlighted mainly in the central region of the image;The arteries imaged have varying sizes, with some segments appearing narrower;The coronary angiography shows a branching pattern with a mix of linear and curvilinear shapes, indicating the complex network of coronary arteries with varying vector trends;The background is homogeneous and featureless, which enhances the contrast of the angiography.", + "overview": "X-ray image of a human chest displaying coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is highlighted mainly in the central region of the image;", + "size": "The arteries imaged have varying sizes, with some segments appearing narrower;", + "trend_shape": "The coronary angiography shows a branching pattern with a mix of linear and curvilinear shapes, indicating the complex network of coronary arteries with varying vector trends;", + "background": "The background is homogeneous and featureless, which enhances the contrast of the angiography." + }, + { + "image": "DCA1\\training\\images\\205img.png", + "caption": "X-ray image displaying contrast-enhanced coronary arteries;DCA1 dataset;The coronary angiography is centrally located, depicting the heart's coronary vessels;The coronary angiography shows arteries of varying sizes with major vessels having a prominent appearance;The coronary arteries exhibit a serpentine and arborized shape with a tapering trend, branching out from the aorta and distributing across the myocardium;The background is a homogeneous dark field consistent with soft tissue radiopacity on X-ray.", + "overview": "X-ray image displaying contrast-enhanced coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is centrally located, depicting the heart's coronary vessels;", + "size": "The coronary angiography shows arteries of varying sizes with major vessels having a prominent appearance;", + "trend_shape": "The coronary arteries exhibit a serpentine and arborized shape with a tapering trend, branching out from the aorta and distributing across the myocardium;", + "background": "The background is a homogeneous dark field consistent with soft tissue radiopacity on X-ray." + }, + { + "image": "DCA1\\training\\images\\207img.png", + "caption": "X-ray image of a human chest featuring coronary arteries;DCA1 dataset;Coronary angiography can be seen in the central to left region, displaying the left coronary artery system;The angiography reveals coronary arteries ranging from 1-4 mm in diameter;Coronary arteries exhibit a branching, curvilinear shape with some areas showing potential narrowing or occlusion;The background shows low contrast soft tissues and faint bony structures of the chest.", + "overview": "X-ray image of a human chest featuring coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography can be seen in the central to left region, displaying the left coronary artery system;", + "size": "The angiography reveals coronary arteries ranging from 1-4 mm in diameter;", + "trend_shape": "Coronary arteries exhibit a branching, curvilinear shape with some areas showing potential narrowing or occlusion;", + "background": "The background shows low contrast soft tissues and faint bony structures of the chest." + }, + { + "image": "DCA1\\training\\images\\209img.png", + "caption": "X-ray image depicting the cardiovascular system during a coronary angiography procedure;DCA1 dataset;The coronary angiography is showcased as a network of contrast-filled arteries in the center of the image, with primary focus on the arterial tree;The coronary angiography arteries vary in size, ranging from main coronary arteries to smaller branching vessels down to finely visualized distal branches;The coronary arteries display a trend of branching from larger proximal vessels into finer distal vasculature, with a sinuous shape adapting to cardiac anatomy;The background is uniform and radiolucent, providing a contrasting backdrop that accentuates the vasculature.", + "overview": "X-ray image depicting the cardiovascular system during a coronary angiography procedure;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is showcased as a network of contrast-filled arteries in the center of the image, with primary focus on the arterial tree;", + "size": "The coronary angiography arteries vary in size, ranging from main coronary arteries to smaller branching vessels down to finely visualized distal branches;", + "trend_shape": "The coronary arteries display a trend of branching from larger proximal vessels into finer distal vasculature, with a sinuous shape adapting to cardiac anatomy;", + "background": "The background is uniform and radiolucent, providing a contrasting backdrop that accentuates the vasculature." + }, + { + "image": "DCA1\\training\\images\\211img.png", + "caption": "X-ray image of a human heart capturing the coronary arteries;DCA1 dataset;Coronary angiography is predominantly visible in the central region, with branching arteries extending towards the left and bottom areas of the image;The size of the main coronary artery is prominent, tapering into smaller branches;The angiography shows a sinuous main artery with smooth contours, branching into progressively finer vessels exhibiting a tree-like pattern;The background is homogeneous and of low contrast, highlighting the vasculature.", + "overview": "X-ray image of a human heart capturing the coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is predominantly visible in the central region, with branching arteries extending towards the left and bottom areas of the image;", + "size": "The size of the main coronary artery is prominent, tapering into smaller branches;", + "trend_shape": "The angiography shows a sinuous main artery with smooth contours, branching into progressively finer vessels exhibiting a tree-like pattern;", + "background": "The background is homogeneous and of low contrast, highlighting the vasculature." + }, + { + "image": "DCA1\\training\\images\\213img.png", + "caption": "X-ray image of a coronary artery with contrast;DCA1 dataset;The coronary angiography is centered in the image, depicting the left coronary artery system;The angiography shows a dilation of the main vessel with branching vessels varying in caliber;The main vessel has a smooth trend, with branching vessels presenting a tortuous shape and some tapering towards the ends;Homogenous, dark background for contrast with the angiographed vessels.", + "overview": "X-ray image of a coronary artery with contrast;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is centered in the image, depicting the left coronary artery system;", + "size": "The angiography shows a dilation of the main vessel with branching vessels varying in caliber;", + "trend_shape": "The main vessel has a smooth trend, with branching vessels presenting a tortuous shape and some tapering towards the ends;", + "background": "Homogenous, dark background for contrast with the angiographed vessels." + }, + { + "image": "DCA1\\training\\images\\215img.png", + "caption": "Medical X-ray image displaying the coronary arteries of the heart;DCA1 dataset;The coronary angiography prominently shown in the center and spans across the image vertically with branching arteries visible;Variable vessel diameter with the main coronary artery appearing robust and secondary branches tapering in size;Arteries exhibit a curvilinear pattern, indicating normal tortuosity; with no immediate signs of blockages or abnormalities;Homogeneous, featureless grey background.", + "overview": "Medical X-ray image displaying the coronary arteries of the heart;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography prominently shown in the center and spans across the image vertically with branching arteries visible;", + "size": "Variable vessel diameter with the main coronary artery appearing robust and secondary branches tapering in size;", + "trend_shape": "Arteries exhibit a curvilinear pattern, indicating normal tortuosity; with no immediate signs of blockages or abnormalities;", + "background": "Homogeneous, featureless grey background." + }, + { + "image": "DCA1\\training\\images\\217img.png", + "caption": "Monochromatic grayscale X-ray image of coronary arteries;DCA1 dataset;The coronary angiography is located centrally in the image, with clear visualization of the main coronary arteries;The coronary arteries vary in size, appearing with fine and delicate luminal structures with some areas of broadening suggestive of arterial segments with varying calibers;The coronary angiography displays a tortuous trend with smooth curvature and branching nature, indicating the typical course of coronary vessels, with some segments showing tapering and others bifurcation;Homogeneous gray background with no additional structures.", + "overview": "Monochromatic grayscale X-ray image of coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is located centrally in the image, with clear visualization of the main coronary arteries;", + "size": "The coronary arteries vary in size, appearing with fine and delicate luminal structures with some areas of broadening suggestive of arterial segments with varying calibers;", + "trend_shape": "The coronary angiography displays a tortuous trend with smooth curvature and branching nature, indicating the typical course of coronary vessels, with some segments showing tapering and others bifurcation;", + "background": "Homogeneous gray background with no additional structures." + }, + { + "image": "DCA1\\training\\images\\219img.png", + "caption": "Monochrome X-ray image displaying the detailed structure of coronary arteries;DCA1 dataset;Coronary angiography is centrally located, dominating the image;The coronary angiography depicts vessels of varying size, ranging from large main branches to finer arterial structures;The arterial network has a tree-like configuration with multiple branching points, appearing tortuous with both curving and straight segments;The background is uniform and featureless, providing contrast to the highlighted vasculature.", + "overview": "Monochrome X-ray image displaying the detailed structure of coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located, dominating the image;", + "size": "The coronary angiography depicts vessels of varying size, ranging from large main branches to finer arterial structures;", + "trend_shape": "The arterial network has a tree-like configuration with multiple branching points, appearing tortuous with both curving and straight segments;", + "background": "The background is uniform and featureless, providing contrast to the highlighted vasculature." + }, + { + "image": "DCA1\\training\\images\\221img.png", + "caption": "Monochromatic X-ray image depicting coronary arteries;DCA1 dataset;Central area, with primary artery branching towards upper right quadrant and secondary branches radiating outwards;Main coronary artery with a diameter narrowing from proximal to distal points, branch arteries vary in size with finer arterioles visible;Arteries show tortuosity with a mix of curving and bifurcating patterns, some areas appear more opaque suggesting contrast medium presence;Homogeneous grey background with minimal noise.", + "overview": "Monochromatic X-ray image depicting coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Central area, with primary artery branching towards upper right quadrant and secondary branches radiating outwards;", + "size": "Main coronary artery with a diameter narrowing from proximal to distal points, branch arteries vary in size with finer arterioles visible;", + "trend_shape": "Arteries show tortuosity with a mix of curving and bifurcating patterns, some areas appear more opaque suggesting contrast medium presence;", + "background": "Homogeneous grey background with minimal noise." + }, + { + "image": "DCA1\\training\\images\\224img.png", + "caption": "Monochromatic X-ray image displaying the vascular structure of the heart;DCA1 dataset;Central part of the image, predominantly occupying the left side;Varies in size, with major vessels being more prominent and minor branches appearing finer;Arteries are tortuous with a mixture of curving and branching patterns, indicative of the coronary circulation;Homogeneous dark background with image noise and soft tissue shadows.", + "overview": "Monochromatic X-ray image displaying the vascular structure of the heart;", + "dataset": "DCA1 dataset;", + "location": "Central part of the image, predominantly occupying the left side;", + "size": "Varies in size, with major vessels being more prominent and minor branches appearing finer;", + "trend_shape": "Arteries are tortuous with a mixture of curving and branching patterns, indicative of the coronary circulation;", + "background": "Homogeneous dark background with image noise and soft tissue shadows." + }, + { + "image": "DCA1\\training\\images\\225img.png", + "caption": "An X-ray coronary angiography image showing a detailed view of the coronary arteries;DCA1 dataset;The angiography is centrally located in the image, displaying the main branches of the coronary arteries originating from the aorta;The depicted coronary arteries vary in size, with the largest vessel diameter appearing to be approximately 4-5 mm, tapering to finer branches around 1-2 mm in diameter;The arteries exhibit a tortuous trend with a curvilinear shape, with some segments outlining a more serpentine trajectory, indicative of normal variations in arterial anatomy;The background is homogenous and dark, providing high contrast to highlight the vascular structures.", + "overview": "An X-ray coronary angiography image showing a detailed view of the coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "The angiography is centrally located in the image, displaying the main branches of the coronary arteries originating from the aorta;", + "size": "The depicted coronary arteries vary in size, with the largest vessel diameter appearing to be approximately 4-5 mm, tapering to finer branches around 1-2 mm in diameter;", + "trend_shape": "The arteries exhibit a tortuous trend with a curvilinear shape, with some segments outlining a more serpentine trajectory, indicative of normal variations in arterial anatomy;", + "background": "The background is homogenous and dark, providing high contrast to highlight the vascular structures." + }, + { + "image": "DCA1\\training\\images\\227img.png", + "caption": "Monochromatic X-ray image displaying contrast-enhanced arterial structures;DCA1 dataset;Centered predominantly on the left side of the image;Varies in size with the main artery being larger and branching into smaller vessels;The main artery trends downwards with a smooth, curved shape, bifurcating into smaller branches that exhibit a tortuous and intricate path;The background is uniform and radiolucent with faint outlines of anatomical structures.", + "overview": "Monochromatic X-ray image displaying contrast-enhanced arterial structures;", + "dataset": "DCA1 dataset;", + "location": "Centered predominantly on the left side of the image;", + "size": "Varies in size with the main artery being larger and branching into smaller vessels;", + "trend_shape": "The main artery trends downwards with a smooth, curved shape, bifurcating into smaller branches that exhibit a tortuous and intricate path;", + "background": "The background is uniform and radiolucent with faint outlines of anatomical structures." + }, + { + "image": "DCA1\\training\\images\\229img.png", + "caption": "Monochromatic grayscale image showing a network of linear structures representing blood vessels;DCA1 dataset;The coronary angiography is centrally located in the image, with the main structures in the mid and upper part;The size of the coronary angiography visible is moderate, with the main artery width ranging from small to medium, tapering as it branches;The trend of the coronary angiography is a branching pattern originating from a large main vessel that subdivides into smaller arteries and veins with a curvilinear and tortuous shape, the arteriogram showing both major arteries and finer capillary details;Homogeneous and faintly textured background.", + "overview": "Monochromatic grayscale image showing a network of linear structures representing blood vessels;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is centrally located in the image, with the main structures in the mid and upper part;", + "size": "The size of the coronary angiography visible is moderate, with the main artery width ranging from small to medium, tapering as it branches;", + "trend_shape": "The trend of the coronary angiography is a branching pattern originating from a large main vessel that subdivides into smaller arteries and veins with a curvilinear and tortuous shape, the arteriogram showing both major arteries and finer capillary details;", + "background": "Homogeneous and faintly textured background." + }, + { + "image": "DCA1\\training\\images\\231img.png", + "caption": "X-ray image depicting contrast-filled coronary arteries of the heart;DCA1 dataset;Coronary angiography is centrally located, showing multiple coronary artery branches;The coronary angiography presents with varying vessel calibers, with some arteries appearing thin and others more robust;The arteries display a tortuous course with smooth contours, predominantly following the anatomical heart borders with some branching patterns indicative of normal coronary artery anatomy;The background is uniformly dark, ensuring clear visibility of the angiographic details.", + "overview": "X-ray image depicting contrast-filled coronary arteries of the heart;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located, showing multiple coronary artery branches;", + "size": "The coronary angiography presents with varying vessel calibers, with some arteries appearing thin and others more robust;", + "trend_shape": "The arteries display a tortuous course with smooth contours, predominantly following the anatomical heart borders with some branching patterns indicative of normal coronary artery anatomy;", + "background": "The background is uniformly dark, ensuring clear visibility of the angiographic details." + }, + { + "image": "DCA1\\training\\images\\233img.png", + "caption": "Monochrome X-ray image showcasing coronary arteries;DCA1 dataset;The angiography is centrally located, depicting the main coronary arteries branching from the aorta;The angiography presents arteries of variable sizes, with the main artery being more prominent;The arteries exhibit a curvilinear configuration, with smooth contours and natural tapering towards the periphery;Homogenous dark background with low contrast.", + "overview": "Monochrome X-ray image showcasing coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "The angiography is centrally located, depicting the main coronary arteries branching from the aorta;", + "size": "The angiography presents arteries of variable sizes, with the main artery being more prominent;", + "trend_shape": "The arteries exhibit a curvilinear configuration, with smooth contours and natural tapering towards the periphery;", + "background": "Homogenous dark background with low contrast." + }, + { + "image": "DCA1\\training\\images\\235img.png", + "caption": "Monochrome X-ray image of a coronary angiography;DCA1 dataset;The coronary angiography is centrally positioned within the image, displaying major cardiac vessels predominantly in the left half of the image;The coronary angiography shows vessels of varying sizes, with the largest vessel having a prominent central location arching from top to bottom;The vessels trend from the aorta curving downwards in a tapered fashion, with smaller branching vessels and a smooth outline;Uniform, featureless gray background.", + "overview": "Monochrome X-ray image of a coronary angiography;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is centrally positioned within the image, displaying major cardiac vessels predominantly in the left half of the image;", + "size": "The coronary angiography shows vessels of varying sizes, with the largest vessel having a prominent central location arching from top to bottom;", + "trend_shape": "The vessels trend from the aorta curving downwards in a tapered fashion, with smaller branching vessels and a smooth outline;", + "background": "Uniform, featureless gray background." + }, + { + "image": "DCA1\\training\\images\\237img.png", + "caption": "X-ray image of a coronary angiogram showcasing blood vessel opacification;DCA1 dataset;Central location, displaying the branching coronary arteries emanating from the aorta;Variable vessel size, with proximal segments appearing wider than the distal segments;Predominant trend of the vessels is a curvilinear and tortuous shape with smooth contours and bifurcation points;Homogeneous gray background with soft tissue shadows and no other anatomic structures discernible.", + "overview": "X-ray image of a coronary angiogram showcasing blood vessel opacification;", + "dataset": "DCA1 dataset;", + "location": "Central location, displaying the branching coronary arteries emanating from the aorta;", + "size": "Variable vessel size, with proximal segments appearing wider than the distal segments;", + "trend_shape": "Predominant trend of the vessels is a curvilinear and tortuous shape with smooth contours and bifurcation points;", + "background": "Homogeneous gray background with soft tissue shadows and no other anatomic structures discernible." + }, + { + "image": "DCA1\\training\\images\\239img.png", + "caption": "X-ray image showing the contrast-filled coronary arteries;DCA1 dataset;Coronary angiography is centrally located within the image;The coronary angiography appears to show vessels of varying diameters, ranging from fine to moderate thickness;Trend of the coronary angiography suggests a winding and branching pattern, with the main artery visibly dividing into smaller branches, exhibiting a tree-like morphology;The background is uniform and monochromatic, dominated by grayscale tones.", + "overview": "X-ray image showing the contrast-filled coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located within the image;", + "size": "The coronary angiography appears to show vessels of varying diameters, ranging from fine to moderate thickness;", + "trend_shape": "Trend of the coronary angiography suggests a winding and branching pattern, with the main artery visibly dividing into smaller branches, exhibiting a tree-like morphology;", + "background": "The background is uniform and monochromatic, dominated by grayscale tones." + }, + { + "image": "DCA1\\training\\images\\23img.png", + "caption": "Monochromatic X-ray image showing the cardiovascular system with contrast;DCA1 dataset;The angiography is focused on the central region extending to the upper section of the image;The blood vessels vary in size with the larger vessels at the center, tapering into finer branches;The vessels exhibit a branching, tree-like structure with curving and intertwining pathways;The background is uniform and nondescript, providing contrast to the vascular structures.", + "overview": "Monochromatic X-ray image showing the cardiovascular system with contrast;", + "dataset": "DCA1 dataset;", + "location": "The angiography is focused on the central region extending to the upper section of the image;", + "size": "The blood vessels vary in size with the larger vessels at the center, tapering into finer branches;", + "trend_shape": "The vessels exhibit a branching, tree-like structure with curving and intertwining pathways;", + "background": "The background is uniform and nondescript, providing contrast to the vascular structures." + }, + { + "image": "DCA1\\training\\images\\241img.png", + "caption": "X-ray image of a human chest highlighting the coronary arteries;DCA1 dataset;Coronary angiography focused on the left side of the image, displaying the arterial structure prominently against the less opaque surroundings;Variable vessel size with main coronary arteries being several millimeters in diameter, tapering into finer branches;Arteries exhibit a curvilinear trend with smooth, sinuous shapes reaching out in a branching pattern;Homogeneous, translucent background with soft tissue densities and cardiac silhouette.", + "overview": "X-ray image of a human chest highlighting the coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography focused on the left side of the image, displaying the arterial structure prominently against the less opaque surroundings;", + "size": "Variable vessel size with main coronary arteries being several millimeters in diameter, tapering into finer branches;", + "trend_shape": "Arteries exhibit a curvilinear trend with smooth, sinuous shapes reaching out in a branching pattern;", + "background": "Homogeneous, translucent background with soft tissue densities and cardiac silhouette." + }, + { + "image": "DCA1\\training\\images\\243img.png", + "caption": "X-ray image of a human chest featuring coronary arteries highlighted by contrast medium;DCA1 dataset;The coronary angiography is centrally located, predominantly on the left side of the image, displaying branching arterial structures;The angiography reveals various-sized vessels, with some major arteries having a calibre ranging from 2 to 4 mm;Arteries exhibit a tortuous course with smooth contours and tapering branches;Homogeneous grey background with no other anatomical structures discernible.", + "overview": "X-ray image of a human chest featuring coronary arteries highlighted by contrast medium;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is centrally located, predominantly on the left side of the image, displaying branching arterial structures;", + "size": "The angiography reveals various-sized vessels, with some major arteries having a calibre ranging from 2 to 4 mm;", + "trend_shape": "Arteries exhibit a tortuous course with smooth contours and tapering branches;", + "background": "Homogeneous grey background with no other anatomical structures discernible." + }, + { + "image": "DCA1\\training\\images\\246img.png", + "caption": "Monochromatic X-ray image depicting cardiovascular structures with high contrast against a dark background;DCA1 dataset;Coronary angiography is centrally located, prominently displayed against the darker surrounding tissue;The angiography shows vessels of varying size, with some areas appearing narrowed and others more dilated, suggesting possible arterial segments with stenosis or post-dilation;The coronary angiography reveals a branching vascular structure with curvilinear and tubular shapes, possibly indicating normal and pathological vessel courses;The background is homogeneous and dark, enhancing the visibility of the angiographic details.", + "overview": "Monochromatic X-ray image depicting cardiovascular structures with high contrast against a dark background;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located, prominently displayed against the darker surrounding tissue;", + "size": "The angiography shows vessels of varying size, with some areas appearing narrowed and others more dilated, suggesting possible arterial segments with stenosis or post-dilation;", + "trend_shape": "The coronary angiography reveals a branching vascular structure with curvilinear and tubular shapes, possibly indicating normal and pathological vessel courses;", + "background": "The background is homogeneous and dark, enhancing the visibility of the angiographic details." + }, + { + "image": "DCA1\\training\\images\\247img.png", + "caption": "High-contrast monochromatic X-ray image showing a coronary angiogram with delineated coronary arteries;DCA1 dataset;The coronary angiography is predominantly centered in the image, slightly oriented to the left side of the frame;The coronary arteries vary in size, with the main artery appearing robust and secondary branches tapering to finer vessels;The angiography reveals a tortuous main coronary artery with multiple curving branches, some branches exhibit a relatively straight course while others display acute angulations;The background is uniform and dark, providing contrast to highlight the vascular structures.", + "overview": "High-contrast monochromatic X-ray image showing a coronary angiogram with delineated coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is predominantly centered in the image, slightly oriented to the left side of the frame;", + "size": "The coronary arteries vary in size, with the main artery appearing robust and secondary branches tapering to finer vessels;", + "trend_shape": "The angiography reveals a tortuous main coronary artery with multiple curving branches, some branches exhibit a relatively straight course while others display acute angulations;", + "background": "The background is uniform and dark, providing contrast to highlight the vascular structures." + }, + { + "image": "DCA1\\training\\images\\249img.png", + "caption": "Monochrome X-ray image showing the detailed structure of coronary arteries;DCA1 dataset;Coronary angiography is projected in the central and left regions of the image, with the heart's silhouette faintly visible;The coronary angiography covers a mid-sized area with arteries ranging from fine to moderately thick branches;The angiography displays a complex network of branching vessels with a sinuous trend; the main artery extends vertically before arcing, with multiple smaller branches diverging at various angles, demonstrating both curvilinear and more acute trajectories;The background is uniform and dark, enhancing the contrast of the angiographic details.", + "overview": "Monochrome X-ray image showing the detailed structure of coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is projected in the central and left regions of the image, with the heart's silhouette faintly visible;", + "size": "The coronary angiography covers a mid-sized area with arteries ranging from fine to moderately thick branches;", + "trend_shape": "The angiography displays a complex network of branching vessels with a sinuous trend; the main artery extends vertically before arcing, with multiple smaller branches diverging at various angles, demonstrating both curvilinear and more acute trajectories;", + "background": "The background is uniform and dark, enhancing the contrast of the angiographic details." + }, + { + "image": "DCA1\\training\\images\\251img.png", + "caption": "X-ray image displaying the coronary arteries of the heart with contrast enhancement;DCA1 dataset;Coronary angiography visible centrally with a focus on the left side of the image;Coronary angiography appears medium in size with branching vessels of varying calibers;Angiography shows a complex network with both smooth and tortuous segments, evidencing a natural arborization pattern;Monochromatic background with soft tissue shadows.", + "overview": "X-ray image displaying the coronary arteries of the heart with contrast enhancement;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography visible centrally with a focus on the left side of the image;", + "size": "Coronary angiography appears medium in size with branching vessels of varying calibers;", + "trend_shape": "Angiography shows a complex network with both smooth and tortuous segments, evidencing a natural arborization pattern;", + "background": "Monochromatic background with soft tissue shadows." + }, + { + "image": "DCA1\\training\\images\\253img.png", + "caption": "Monochromatic X-ray image of coronary arteries with contrast enhancement;DCA1 dataset;Coronary angiography evident in the center, occupying the majority of the image;Variable size with main vessel diameter approximately 2-4 mm, branching vessels progressively narrower;Dominant vessel with gentle curvature extending from the left side towards the upper right, with several bifurcating vessels of reduced caliber displaying a branching, tree-like structure;Uniform grayscale background with minimal artifacts.", + "overview": "Monochromatic X-ray image of coronary arteries with contrast enhancement;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography evident in the center, occupying the majority of the image;", + "size": "Variable size with main vessel diameter approximately 2-4 mm, branching vessels progressively narrower;", + "trend_shape": "Dominant vessel with gentle curvature extending from the left side towards the upper right, with several bifurcating vessels of reduced caliber displaying a branching, tree-like structure;", + "background": "Uniform grayscale background with minimal artifacts." + }, + { + "image": "DCA1\\training\\images\\255img.png", + "caption": "Monochromatic X-ray image of a human chest featuring coronary arteries;DCA1 dataset;Coronary angiography is centrally located, slightly to the left on the image, portraying the heart's left side;The coronary angiography shows vessels of varying sizes, from large main coronary arteries to smaller branching vessels;Trend follows a normal coronary arterial distribution with a smooth, curvilinear path; the left main coronary artery bifurcates into the left anterior descending artery and the circumflex artery, with further tapering branches;The background is uniformly dark with soft tissue shadows.", + "overview": "Monochromatic X-ray image of a human chest featuring coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located, slightly to the left on the image, portraying the heart's left side;", + "size": "The coronary angiography shows vessels of varying sizes, from large main coronary arteries to smaller branching vessels;", + "trend_shape": "Trend follows a normal coronary arterial distribution with a smooth, curvilinear path; the left main coronary artery bifurcates into the left anterior descending artery and the circumflex artery, with further tapering branches;", + "background": "The background is uniformly dark with soft tissue shadows." + }, + { + "image": "DCA1\\training\\images\\257img.png", + "caption": "Monochrome X-ray image of a coronary angiogram showing the contrast-filled coronary arteries;DCA1 dataset;The coronary angiography is depicted in the upper left quadrant extending to the central region of the image;The coronary angiography reveals vessels of varying sizes, ranging from major arteries with wider lumens to smaller branching vessels;The angiography displays a predominantly linear trend with smooth contours and several bifurcations, creating a tree-like vascular pattern;Uniformly dark background with minimal noise.", + "overview": "Monochrome X-ray image of a coronary angiogram showing the contrast-filled coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is depicted in the upper left quadrant extending to the central region of the image;", + "size": "The coronary angiography reveals vessels of varying sizes, ranging from major arteries with wider lumens to smaller branching vessels;", + "trend_shape": "The angiography displays a predominantly linear trend with smooth contours and several bifurcations, creating a tree-like vascular pattern;", + "background": "Uniformly dark background with minimal noise." + }, + { + "image": "DCA1\\training\\images\\259img.png", + "caption": "Monochromatic X-ray image of coronary arteries with contrast;DCA1 dataset;Centrally located branching coronary arteries visible with contrast delineating the vessels;Variable vessel diameter ranging from 1 to 5 millimeters approx.;Complex vascular tree with smooth, curvilinear, and branching vessels;Uniform grayscale background with minimal artifacts.", + "overview": "Monochromatic X-ray image of coronary arteries with contrast;", + "dataset": "DCA1 dataset;", + "location": "Centrally located branching coronary arteries visible with contrast delineating the vessels;", + "size": "Variable vessel diameter ranging from 1 to 5 millimeters approx.;", + "trend_shape": "Complex vascular tree with smooth, curvilinear, and branching vessels;", + "background": "Uniform grayscale background with minimal artifacts." + }, + { + "image": "DCA1\\training\\images\\261img.png", + "caption": "Monochromatic X-ray image displaying a network of coronary arteries with contrasting agent;DCA1 dataset;Coronary angiography centered in the image displaying the left side of the heart, particularly the left coronary artery system;Varies in size, with main arterial body measuring approximately 2-4mm in diameter;Arteries show a branching pattern, with smooth contours and no visible obstructions or narrowing. Diameters taper off as vessels branch out;Homogeneous grey background with minimal noise and no discernible structures apart from the coronary network.", + "overview": "Monochromatic X-ray image displaying a network of coronary arteries with contrasting agent;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography centered in the image displaying the left side of the heart, particularly the left coronary artery system;", + "size": "Varies in size, with main arterial body measuring approximately 2-4mm in diameter;", + "trend_shape": "Arteries show a branching pattern, with smooth contours and no visible obstructions or narrowing. Diameters taper off as vessels branch out;", + "background": "Homogeneous grey background with minimal noise and no discernible structures apart from the coronary network." + }, + { + "image": "DCA1\\training\\images\\263img.png", + "caption": "X-ray image of a coronary angiography showing contrast-filled coronary arteries;DCA1 dataset;located centrally within the image, projecting over the heart silhouette;the coronary angiography delineates vessels of varying sizes, from larger proximal segments to fine distal branches;trend demonstrates a tortuous course with curvilinear and branching patterns;uniform dark background with subtle variations in density.", + "overview": "X-ray image of a coronary angiography showing contrast-filled coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "located centrally within the image, projecting over the heart silhouette;", + "size": "the coronary angiography delineates vessels of varying sizes, from larger proximal segments to fine distal branches;", + "trend_shape": "trend demonstrates a tortuous course with curvilinear and branching patterns;", + "background": "uniform dark background with subtle variations in density." + }, + { + "image": "DCA1\\training\\images\\265img.png", + "caption": "X-ray coronary angiography showing contrast-filled coronary arteries;DCA1 dataset;Coronary angiography is centrally located;Variable vessel diameter, with some segments appearing narrower indicating possible stenosis;Tortuous and branching vessels with both linear and curvilinear components;Homogeneous greyscale background.", + "overview": "X-ray coronary angiography showing contrast-filled coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located;", + "size": "Variable vessel diameter, with some segments appearing narrower indicating possible stenosis;", + "trend_shape": "Tortuous and branching vessels with both linear and curvilinear components;", + "background": "Homogeneous greyscale background." + }, + { + "image": "DCA1\\training\\images\\2img.png", + "caption": "Monochrome X-ray imaging of coronary arteries with contrast enhancement;DCA1 dataset;The coronary angiography is centrally located in the image;The coronary angiography shows vessels of varying sizes, with the main artery being prominent;The angiography reveals a main artery branching into smaller vessels with a smooth and curved trend;The background is uniform with gradient shades of gray.", + "overview": "Monochrome X-ray imaging of coronary arteries with contrast enhancement;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is centrally located in the image;", + "size": "The coronary angiography shows vessels of varying sizes, with the main artery being prominent;", + "trend_shape": "The angiography reveals a main artery branching into smaller vessels with a smooth and curved trend;", + "background": "The background is uniform with gradient shades of gray." + }, + { + "image": "DCA1\\training\\images\\45img.png", + "caption": "X-ray coronary angiography showing contrast-filled coronary arteries;DCA1 dataset;Arteries prominently visible in the center with branching towards the edges;Varies in size with the main artery being the largest and branches tapering to smaller vessels;Arteries display a sinuous pattern with smooth contours and no visible blockages;Homogeneous greyscale background.", + "overview": "X-ray coronary angiography showing contrast-filled coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Arteries prominently visible in the center with branching towards the edges;", + "size": "Varies in size with the main artery being the largest and branches tapering to smaller vessels;", + "trend_shape": "Arteries display a sinuous pattern with smooth contours and no visible blockages;", + "background": "Homogeneous greyscale background." + }, + { + "image": "DCA1\\training\\images\\67img.png", + "caption": "X-ray image of a coronary artery system with contrast enhancement;DCA1 dataset;Central area of the image, prominently displayed with high contrast against the surrounding tissues;Variable, with certain segments appearing narrow and others wider, indicative of a natural vascular structure with tapering and branching;Tortuous trend with a mix of smooth and undulating shapes in the vessels, suggesting a complex three-dimensional pathway typical of coronary arteries;Uniform grayscale background, providing contrast to the highlighted vascular structures.", + "overview": "X-ray image of a coronary artery system with contrast enhancement;", + "dataset": "DCA1 dataset;", + "location": "Central area of the image, prominently displayed with high contrast against the surrounding tissues;", + "size": "Variable, with certain segments appearing narrow and others wider, indicative of a natural vascular structure with tapering and branching;", + "trend_shape": "Tortuous trend with a mix of smooth and undulating shapes in the vessels, suggesting a complex three-dimensional pathway typical of coronary arteries;", + "background": "Uniform grayscale background, providing contrast to the highlighted vascular structures." + }, + { + "image": "DCA1\\training\\images\\79img.png", + "caption": "Monochromatic X-ray image showing contrast-filled coronary arteries;DCA1 dataset;Coronary angiography visible in the center running vertically and branching out;Varying size, with main coronary trunk appearing thicker and branches tapering;Sinuous and branching pattern, with some areas showing subtle narrowing and other sections maintaining consistent caliber;Homogeneous grey background with soft tissue shadows.", + "overview": "Monochromatic X-ray image showing contrast-filled coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography visible in the center running vertically and branching out;", + "size": "Varying size, with main coronary trunk appearing thicker and branches tapering;", + "trend_shape": "Sinuous and branching pattern, with some areas showing subtle narrowing and other sections maintaining consistent caliber;", + "background": "Homogeneous grey background with soft tissue shadows." + }, + { + "image": "DCA1\\training\\images\\81img.png", + "caption": "Monochromatic X-ray angiography image depicting contrast-filled coronary arteries;DCA1 dataset;Coronary angiography is centrally located in the image;The coronary angiography shows a large main vessel branching into finer vessels;The main coronary artery has a smooth, uniform caliber before dividing into smaller branches that taper and curve throughout the cardiac silhouette;The background is homogeneous and featureless.", + "overview": "Monochromatic X-ray angiography image depicting contrast-filled coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located in the image;", + "size": "The coronary angiography shows a large main vessel branching into finer vessels;", + "trend_shape": "The main coronary artery has a smooth, uniform caliber before dividing into smaller branches that taper and curve throughout the cardiac silhouette;", + "background": "The background is homogeneous and featureless." + }, + { + "image": "DCA1\\training\\images\\83img.png", + "caption": "Medical grayscale image of coronary arteries;DCA1 dataset;Coronary angiography is centrally located, displaying mainly the left side of the coronary arterial system;The coronary angiography shows arteries of various calibers, with some segments appearing dilated and others normal or possibly narrowed;The coronary arteries exhibit a serpentine trend with a mix of smooth and tortuous segments, indicative of normal and possibly pathological changes;Homogeneous grayscale background without identifiable anatomical landmarks.", + "overview": "Medical grayscale image of coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located, displaying mainly the left side of the coronary arterial system;", + "size": "The coronary angiography shows arteries of various calibers, with some segments appearing dilated and others normal or possibly narrowed;", + "trend_shape": "The coronary arteries exhibit a serpentine trend with a mix of smooth and tortuous segments, indicative of normal and possibly pathological changes;", + "background": "Homogeneous grayscale background without identifiable anatomical landmarks." + }, + { + "image": "DCA1\\training\\images\\85img.png", + "caption": "X-ray coronary angiography showing contrast-filled coronary arteries;DCA1 dataset;Central and upper-left quadrant of the image, predominantly in the left side of the field;Varies in caliber, with main branches approximately 2-4 mm in width;Complex branching pattern with a mixture of straight and curvilinear segments, some areas displaying probable stenoses or irregularities indicating possible atherosclerotic changes or previous interventions;Homogeneous, translucent background with faint outlines of cardiac and thoracic anatomy.", + "overview": "X-ray coronary angiography showing contrast-filled coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Central and upper-left quadrant of the image, predominantly in the left side of the field;", + "size": "Varies in caliber, with main branches approximately 2-4 mm in width;", + "trend_shape": "Complex branching pattern with a mixture of straight and curvilinear segments, some areas displaying probable stenoses or irregularities indicating possible atherosclerotic changes or previous interventions;", + "background": "Homogeneous, translucent background with faint outlines of cardiac and thoracic anatomy." + }, + { + "image": "DCA1\\training\\images\\87img.png", + "caption": "Monochrome X-ray image showing coronary arteries;DCA1 dataset;Central to the left side of the image;Varying diameter, main vessel with branches;Pronounced curvilinear shapes, arteries branching off in various directions, with a mix of straight and convoluted segments;Uniform, featureless grey background.", + "overview": "Monochrome X-ray image showing coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Central to the left side of the image;", + "size": "Varying diameter, main vessel with branches;", + "trend_shape": "Pronounced curvilinear shapes, arteries branching off in various directions, with a mix of straight and convoluted segments;", + "background": "Uniform, featureless grey background." + }, + { + "image": "DCA1\\training\\images\\89img.png", + "caption": "X-ray image displaying contrast-enhanced coronary arteries;DCA1 dataset;Coronary angiography visible as darkened lines in the center of the image, indicating the flow of contrast material through the coronary arteries;The coronary angiography appears to be of normal caliber without significant dilation or constriction;The arteries demonstrate a sinuous course with a smooth contour, no abrupt changes in caliber, and no evidence of filling defects or irregularities suggestive of stenosis or plaque;Homogeneous, grainy background with no distinct structures or artifacts.", + "overview": "X-ray image displaying contrast-enhanced coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography visible as darkened lines in the center of the image, indicating the flow of contrast material through the coronary arteries;", + "size": "The coronary angiography appears to be of normal caliber without significant dilation or constriction;", + "trend_shape": "The arteries demonstrate a sinuous course with a smooth contour, no abrupt changes in caliber, and no evidence of filling defects or irregularities suggestive of stenosis or plaque;", + "background": "Homogeneous, grainy background with no distinct structures or artifacts." + }, + { + "image": "DCA1\\training\\images\\92img.png", + "caption": "X-ray image showing contrast-filled coronary arteries;DCA1 dataset;Coronary arteries visible as high-contrast structures predominantly in the upper half of the image;Variable sizes with main coronary artery trunks and smaller branching vessels;Main coronary arteries with smooth, curved trajectories showing bifurcations into smaller branches;Uniform, translucent background.", + "overview": "X-ray image showing contrast-filled coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary arteries visible as high-contrast structures predominantly in the upper half of the image;", + "size": "Variable sizes with main coronary artery trunks and smaller branching vessels;", + "trend_shape": "Main coronary arteries with smooth, curved trajectories showing bifurcations into smaller branches;", + "background": "Uniform, translucent background." + }, + { + "image": "DCA1\\training\\images\\93img.png", + "caption": "X-ray image showing contrast-filled coronary arteries;DCA1 dataset;Coronary angiography is centrally located within the image, occupying the majority of the frame;The angiography reveals arteries of varying sizes, with the main trunk being several millimeters in diameter, and branching vessels progressively narrowing;The coronary angiography shows a complex network of vessels with smooth curves and branching structures, including both proximal and distal segments of the coronary arteries with no apparent irregularities or abnormalities in vessel contour;Homogenous gray background with soft tissue shadows.", + "overview": "X-ray image showing contrast-filled coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located within the image, occupying the majority of the frame;", + "size": "The angiography reveals arteries of varying sizes, with the main trunk being several millimeters in diameter, and branching vessels progressively narrowing;", + "trend_shape": "The coronary angiography shows a complex network of vessels with smooth curves and branching structures, including both proximal and distal segments of the coronary arteries with no apparent irregularities or abnormalities in vessel contour;", + "background": "Homogenous gray background with soft tissue shadows." + }, + { + "image": "DCA1\\training\\images\\97img.png", + "caption": "X-ray image displaying a coronary angiography with visible cardiac vasculature;from the DCA1 dataset;coronary angiography prominently positioned in the central to left portion of the image;moderate-sized coronary vessel opacification with both major and finer branches visible;vessel trend forms a complex network with curvilinear and branching patterns, suggesting the coronary arterial tree, with vascular luminal variations and no apparent cutoffs seen;high contrast background with gradient shades from light to dark, with minimal extraneous detail, focusing on the angiographic detail.", + "overview": "X-ray image displaying a coronary angiography with visible cardiac vasculature;", + "dataset": "from the DCA1 dataset;", + "location": "coronary angiography prominently positioned in the central to left portion of the image;", + "size": "moderate-sized coronary vessel opacification with both major and finer branches visible;", + "trend_shape": "vessel trend forms a complex network with curvilinear and branching patterns, suggesting the coronary arterial tree, with vascular luminal variations and no apparent cutoffs seen;", + "background": "high contrast background with gradient shades from light to dark, with minimal extraneous detail, focusing on the angiographic detail." + }, + { + "image": "DCA1\\training\\images\\99img.png", + "caption": "X-ray coronary angiography image showing contrasting dye within the coronary arteries;DCA1 dataset;Coronary angiography is predominantly situated in the central and upper regions of the image, displaying branching vessels;Variable vessel size ranging from approximately 1 to 5 millimeters in diameter evident in the coronary angiography;Trend is an initial superior-left orientation, branching into multiple vessels with a wiry and curvilinear shape with both smooth and irregular contours;Homogeneous grey background with soft tissue shadows.", + "overview": "X-ray coronary angiography image showing contrasting dye within the coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is predominantly situated in the central and upper regions of the image, displaying branching vessels;", + "size": "Variable vessel size ranging from approximately 1 to 5 millimeters in diameter evident in the coronary angiography;", + "trend_shape": "Trend is an initial superior-left orientation, branching into multiple vessels with a wiry and curvilinear shape with both smooth and irregular contours;", + "background": "Homogeneous grey background with soft tissue shadows." + }, + { + "image": "DCA1\\training\\annotations\\103gt.png", + "caption": "A semantic map of an X-ray coronary angiography image, serving as the ground truth (GT).The image is from the DCA1 dataset.The semantic map is centrally located within the image frame and occupies a majority of the image space.The size of the semantic map is relatively large in relation to the image, with lean and elongated features extending across the image.The trend of the semantic map is curvilinear, tracing the paths of the coronary arteries; the shape is consistent with arterial structures, displaying bifurcations and varying vessel calibers, indicative of coronary artery branches.", + "overview": "A semantic map of an X-ray coronary angiography image, serving as the ground truth (GT).", + "dataset": "The image is from the DCA1 dataset.", + "location": "The semantic map is centrally located within the image frame and occupies a majority of the image space.", + "size": "The size of the semantic map is relatively large in relation to the image, with lean and elongated features extending across the image.", + "trend_shape": "The trend of the semantic map is curvilinear, tracing the paths of the coronary arteries; the shape is consistent with arterial structures, displaying bifurcations and varying vessel calibers, indicative of coronary artery branches." + }, + { + "image": "DCA1\\training\\annotations\\107gt.png", + "caption": "Semantic map of X-ray coronary angiography, representing the ground truth (GT) for vessel structure delineation;From the DCA1 dataset;Centralized in the image, occupying approximately the middle third vertically and horizontally;Medium size, with the main vessel structure extending from the top center to the bottom right of the semantic map;The map features a primary vessel branching into multiple thinner vessels with curvilinear paths, showing a natural tapering trend typical of vascular structures.", + "overview": "Semantic map of X-ray coronary angiography, representing the ground truth (GT) for vessel structure delineation;", + "dataset": "From the DCA1 dataset;", + "location": "Centralized in the image, occupying approximately the middle third vertically and horizontally;", + "size": "Medium size, with the main vessel structure extending from the top center to the bottom right of the semantic map;", + "trend_shape": "The map features a primary vessel branching into multiple thinner vessels with curvilinear paths, showing a natural tapering trend typical of vascular structures." + }, + { + "image": "DCA1\\training\\annotations\\115gt.png", + "caption": "A monochromatic semantic map displaying the skeletal structure of coronary arteries in an X-ray angiography;DCA1 dataset;The semantic map is centrally located, dominating the image against a black background;The map extends across the majority of the image, with varying widths of the depicted arteries;The trend of the map is a complex, branching pattern with smooth, curved shapes representing arterial paths and bifurcations.", + "overview": "A monochromatic semantic map displaying the skeletal structure of coronary arteries in an X-ray angiography;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centrally located, dominating the image against a black background;", + "size": "The map extends across the majority of the image, with varying widths of the depicted arteries;", + "trend_shape": "The trend of the map is a complex, branching pattern with smooth, curved shapes representing arterial paths and bifurcations." + }, + { + "image": "DCA1\\training\\annotations\\117gt.png", + "caption": "A detailed semantic map (GT) for an X-ray coronary angiography image;from the DCA1 dataset;the semantic map is centrally located within the image bounds, displaying a delineation of the coronary arterial structure;the size of the map is substantial, stretching across the full height of the image with varying widths along its path;the trend of the semantic map is a complex, curvilinear shape that mimics the natural course of coronary arteries, with tight bends and several tapered branches extending from a main, thicker trunk.", + "overview": "A detailed semantic map (GT) for an X-ray coronary angiography image;", + "dataset": "from the DCA1 dataset;", + "location": "the semantic map is centrally located within the image bounds, displaying a delineation of the coronary arterial structure;", + "size": "the size of the map is substantial, stretching across the full height of the image with varying widths along its path;", + "trend_shape": "the trend of the semantic map is a complex, curvilinear shape that mimics the natural course of coronary arteries, with tight bends and several tapered branches extending from a main, thicker trunk." + }, + { + "image": "DCA1\\training\\annotations\\125gt.png", + "caption": "Semantic map (GT) of X-ray coronary angiography;DCA1 dataset;Occupies central and left portions of the image;Extensive coverage with variable line thickness;Linear with curvilinear segments, depicting arterial paths and bifurcations.", + "overview": "Semantic map (GT) of X-ray coronary angiography;", + "dataset": "DCA1 dataset;", + "location": "Occupies central and left portions of the image;", + "size": "Extensive coverage with variable line thickness;", + "trend_shape": "Linear with curvilinear segments, depicting arterial paths and bifurcations." + }, + { + "image": "DCA1\\training\\annotations\\127gt.png", + "caption": "A semantic map representing the arterial structure in an X-ray coronary angiography image, signified as ground truth (GT);DCA1 dataset;The semantic map is centrally located within the image boundaries, occupying the majority of the image space;The size of the semantic map is substantial, with varying line thickness simulating the arterial diameters and branchings;The trend of the semantic map is predominantly curvilinear, tracing the natural course of the coronary arteries; the shape includes a main trunk with several bifurcating branches of descending size, imitating typical coronary artery anatomy.", + "overview": "A semantic map representing the arterial structure in an X-ray coronary angiography image, signified as ground truth (GT);", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centrally located within the image boundaries, occupying the majority of the image space;", + "size": "The size of the semantic map is substantial, with varying line thickness simulating the arterial diameters and branchings;", + "trend_shape": "The trend of the semantic map is predominantly curvilinear, tracing the natural course of the coronary arteries; the shape includes a main trunk with several bifurcating branches of descending size, imitating typical coronary artery anatomy." + }, + { + "image": "DCA1\\training\\annotations\\131gt.png", + "caption": "Semantic map (GT) of an X-ray coronary angiography image, highlighting arterial structures;DCA1 dataset;The semantic map is centered in the image extending towards the top and sides, covering the majority of the image area with minimal blank space around the edges;The semantic map is high-resolution with clear, well-defined lines;The semantic map showcases a branching pattern, with a thick main trunk dividing into progressively thinner vessels, following a natural and realistic arterial distribution trend.", + "overview": "Semantic map (GT) of an X-ray coronary angiography image, highlighting arterial structures;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centered in the image extending towards the top and sides, covering the majority of the image area with minimal blank space around the edges;", + "size": "The semantic map is high-resolution with clear, well-defined lines;", + "trend_shape": "The semantic map showcases a branching pattern, with a thick main trunk dividing into progressively thinner vessels, following a natural and realistic arterial distribution trend." + }, + { + "image": "DCA1\\training\\annotations\\133gt.png", + "caption": "High-contrast semantic map of an X-ray coronary angiography depicting vascular structures; DCA1 dataset; The semantic map is centrally positioned within the image, depicting the arterial network with primary branches emerging from the top center and bifurcating progressively towards the periphery; The size of the semantic map is large, covering the central and top-right fields of the image with prominent curvilinear elements; Trend of the semantic map shows a branching arterial structure with a dominant curved artery bifurcating into smaller vessels; arteries are sinuous with smooth curves and sharp branch points.", + "overview": "High-contrast semantic map of an X-ray coronary angiography depicting vascular structures;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centered and encompasses the majority of the image area;", + "size": "The size of the semantic map is large, covering the central and top-right fields of the image with prominent curvilinear elements;", + "trend_shape": "Trend of the semantic map shows a branching arterial structure with a dominant curved artery bifurcating into smaller vessels; arteries are sinuous with smooth curves and sharp branch points." + }, + { + "image": "DCA1\\training\\annotations\\136gt.png", + "caption": "Semantic map (ground truth) of an X-ray coronary angiography;DCA1 dataset;The semantic map is centered on the image with a clear boundary from the background;The semantic map extends nearly the full height of the image but only occupies a central strip in terms of width;The semantic map displays a curvilinear and branching structure, simulating the coronary arteries, with varying line thickness that tapers towards the periphery.", + "overview": "Semantic map (ground truth) of an X-ray coronary angiography;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centered on the image with a clear boundary from the background;", + "size": "The semantic map extends nearly the full height of the image but only occupies a central strip in terms of width;", + "trend_shape": "The semantic map displays a curvilinear and branching structure, simulating the coronary arteries, with varying line thickness that tapers towards the periphery." + }, + { + "image": "DCA1\\training\\annotations\\137gt.png", + "caption": "The image represents a monochrome semantic map of an X-ray coronary angiography, serving as the ground truth for vessel structure;The ground truth is from the DCA1 dataset;The semantic map is centrally located, occupying the majority of the image space;The map extends almost the full height of the image, with varying widths along its length due to the vessel structure it represents;The trend of the semantic map indicates a complex vascular arrangement, with curvilinear shapes forming a main vessel that branches out into smaller, finer vessels, resembling a tree-like structure.", + "overview": "The image represents a monochrome semantic map of an X-ray coronary angiography, serving as the ground truth for vessel structure;", + "dataset": "The ground truth is from the DCA1 dataset;", + "location": "The semantic map is centrally located, occupying the majority of the image space;", + "size": "The map extends almost the full height of the image, with varying widths along its length due to the vessel structure it represents;", + "trend_shape": "The trend of the semantic map indicates a complex vascular arrangement, with curvilinear shapes forming a main vessel that branches out into smaller, finer vessels, resembling a tree-like structure." + }, + { + "image": "DCA1\\training\\annotations\\139gt.png", + "caption": "This image is a high-contrast semantic map or ground truth (GT) representation of an X-ray coronary angiography;from the DCA1 dataset;the semantic map is centrally located within the image frame extending from the top center towards the bottom right;the size of the semantic map is relatively large, occupying a major portion of the image canvas;the trend of the semantic map is curvilinear with several branching patterns, representing arterial structures with varying thicknesses and lengths, the main vessel branches from top to bottom with smaller subsidiary branches extending laterally.", + "overview": "This image is a high-contrast semantic map or ground truth (GT) representation of an X-ray coronary angiography;", + "dataset": "from the DCA1 dataset;", + "location": "the semantic map is centrally located within the image frame extending from the top center towards the bottom right;", + "size": "the size of the semantic map is relatively large, occupying a major portion of the image canvas;", + "trend_shape": "the trend of the semantic map is curvilinear with several branching patterns, representing arterial structures with varying thicknesses and lengths, the main vessel branches from top to bottom with smaller subsidiary branches extending laterally." + }, + { + "image": "DCA1\\training\\annotations\\141gt.png", + "caption": "High-contrast semantic map of an X-ray coronary angiography depicting vascular structures;DCA1 dataset;The semantic map is centered and encompasses the majority of the image area;The size of the semantic map is large, covering the central and top-right fields of the image with prominent curvilinear elements;The trend is a bifurcating and branching pattern originating from a central trunk with diminishing vessel calibers, and the overall shape resembles a tree-like vascular network.", + "overview": "High-contrast semantic map of an X-ray coronary angiography depicting vascular structures;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centered and encompasses the majority of the image area;", + "size": "The size of the semantic map is large, covering the central and top-right fields of the image with prominent curvilinear elements;", + "trend_shape": "The trend is a bifurcating and branching pattern originating from a central trunk with diminishing vessel calibers, and the overall shape resembles a tree-like vascular network." + }, + { + "image": "DCA1\\training\\annotations\\147gt.png", + "caption": "Semantic map of coronary arteries resembling a tree-like branching structure, representing ground truth (GT) from an X-ray coronary angiography image;from the DCA1 dataset;the semantic map is centrally positioned within the image, depicting the arterial network with primary branches emerging from the top center and bifurcating progressively towards the periphery;the size of the semantic map is substantial, occupying the majority of the image canvas and providing a detailed representation of the arterial structure;the trend and shape of the map illustrate a natural, organic distribution, with a main trunk that extends and divides into thinner branches, some of which show curving trajectories while others display more linear paths, collectively forming a complex vascular pattern.", + "overview": "Semantic map of coronary arteries resembling a tree-like branching structure, representing ground truth (GT) from an X-ray coronary angiography image;", + "dataset": "from the DCA1 dataset;", + "location": "the semantic map is centrally positioned within the image, depicting the arterial network with primary branches emerging from the top center and bifurcating progressively towards the periphery;", + "size": "the size of the semantic map is substantial, occupying the majority of the image canvas and providing a detailed representation of the arterial structure;", + "trend_shape": "the trend and shape of the map illustrate a natural, organic distribution, with a main trunk that extends and divides into thinner branches, some of which show curving trajectories while others display more linear paths, collectively forming a complex vascular pattern." + }, + { + "image": "DCA1\\training\\annotations\\149gt.png", + "caption": "High-contrast white-on-black semantic map (GT) of an X-ray coronary angiography image;DCA1 dataset;Semantic map occupies the central region of the image, with a dense network of lines at the top right corner tapering toward the bottom left;Image size is medium, with the map's major branches having varying thickness between 1 to 4 pixels, and minor branches down to sub-pixel precision;Trend of the semantic map shows a branching arterial structure with a dominant curved artery bifurcating into smaller vessels; arteries are sinuous with smooth curves and sharp branch points.", + "overview": "High-contrast white-on-black semantic map (GT) of an X-ray coronary angiography image;", + "dataset": "DCA1 dataset;", + "location": "Semantic map occupies the central region of the image, with a dense network of lines at the top right corner tapering toward the bottom left;", + "size": "Image size is medium, with the map's major branches having varying thickness between 1 to 4 pixels, and minor branches down to sub-pixel precision;", + "trend_shape": "Trend of the semantic map shows a branching arterial structure with a dominant curved artery bifurcating into smaller vessels; arteries are sinuous with smooth curves and sharp branch points." + }, + { + "image": "DCA1\\training\\annotations\\155gt.png", + "caption": "Semantic map of X-ray coronary angiography, representing the groundtruth (GT) for vessel segmentation.From the DCA1 dataset.The semantic map is centrally located, occupying the majority of the image's central area, with the main vessel structures visible running vertically and branching out towards the periphery.The semantic map extends throughout the image, but does not touch the edges, suggesting a high-resolution capture with isolated vessel mapping.The map shows a branching tree-like vascular structure with varying vessel widths, exhibiting a trend of decreasing diameter from the main trunk to the peripheral branches; the primary vessel curve gently to the right side with several secondary and tertiary branches emerging at acute to obtuse angles, indicative of the complexity of coronary arterial anatomy.", + "overview": "Semantic map of X-ray coronary angiography, representing the groundtruth (GT) for vessel segmentation.", + "dataset": "From the DCA1 dataset.", + "location": "The semantic map is centrally located, occupying the majority of the image's central area, with the main vessel structures visible running vertically and branching out towards the periphery.", + "size": "The semantic map extends throughout the image, but does not touch the edges, suggesting a high-resolution capture with isolated vessel mapping.", + "trend_shape": "The map shows a branching tree-like vascular structure with varying vessel widths, exhibiting a trend of decreasing diameter from the main trunk to the peripheral branches; the primary vessel curve gently to the right side with several secondary and tertiary branches emerging at acute to obtuse angles, indicative of the complexity of coronary arterial anatomy." + }, + { + "image": "DCA1\\training\\annotations\\158gt.png", + "caption": "This image depicts a semantic map or ground truth (GT) representation of coronary arteries from an X-ray coronary angiography;The semantic map is from the DCA1 dataset;The semantic map is centrally located within the image, occupying a majority of the frame;The size of the semantic map is relatively large in comparison to the overall image dimension, with arterial traces extending horizontally and vertically, nearly reaching the edges of the image;The trend of the semantic map shows a highly curvilinear and branching pattern, indicative of the natural-course of coronary arteries, with a main trunk visible along with several bifurcations leading to thinner branches and shapes ranging from gentle curves to sharp turns.", + "overview": "This image depicts a semantic map or ground truth (GT) representation of coronary arteries from an X-ray coronary angiography;", + "dataset": "The semantic map is from the DCA1 dataset;", + "location": "The semantic map is centrally located within the image, occupying a majority of the frame;", + "size": "The size of the semantic map is relatively large in comparison to the overall image dimension, with arterial traces extending horizontally and vertically, nearly reaching the edges of the image;", + "trend_shape": "The trend of the semantic map shows a highly curvilinear and branching pattern, indicative of the natural-course of coronary arteries, with a main trunk visible along with several bifurcations leading to thinner branches and shapes ranging from gentle curves to sharp turns." + }, + { + "image": "DCA1\\training\\annotations\\159gt.png", + "caption": "Semantic map (GT) of a coronary angiography, indicating vascular structures;From the DCA1 dataset;The semantic map is central in the image, with no surrounding anatomical context;The size of the semantic map does not span the entire image dimension, allowing for boundary space;The semantic map shows linear structures with curvilinear and branched patterns, indicative of arterial vessels.", + "overview": "Semantic map (GT) of a coronary angiography, indicating vascular structures;", + "dataset": "From the DCA1 dataset;", + "location": "The semantic map is central in the image, with no surrounding anatomical context;", + "size": "The size of the semantic map does not span the entire image dimension, allowing for boundary space;", + "trend_shape": "The semantic map shows linear structures with curvilinear and branched patterns, indicative of arterial vessels." + }, + { + "image": "DCA1\\training\\annotations\\161gt.png", + "caption": "This image is a monochrome semantic map representing the ground truth (GT) of coronary arteries extracted from an X-ray coronary angiography;the image is from the DCA1 dataset;the semantic map is centrally located within the image dimensions, leaving a narrow border of empty space around the edges;the size of the semantic map is large, occupying the majority of the image canvas;the map displays a branching structure with several elongated segments that taper and bifurcate, following a generally curved and sinuous shape, indicative of natural vascular pathways.", + "overview": "This image is a monochrome semantic map representing the ground truth (GT) of coronary arteries extracted from an X-ray coronary angiography;", + "dataset": "the image is from the DCA1 dataset;", + "location": "the semantic map is centrally located within the image dimensions, leaving a narrow border of empty space around the edges;", + "size": "the size of the semantic map is large, occupying the majority of the image canvas;", + "trend_shape": "the map displays a branching structure with several elongated segments that taper and bifurcate, following a generally curved and sinuous shape, indicative of natural vascular pathways." + }, + { + "image": "DCA1\\training\\annotations\\163gt.png", + "caption": "Semantic map (GT) of an X-ray coronary angiography processing;DCA1 dataset;The semantic map is centralized in the image with a buffer margin around the edges;The semantic map occupies the majority of the image space, with dimensions roughly corresponding to the image frame;The map displays a branching arterial structure with varying widths, extending from the top left to the lower right, indicating blood vessels with multiple bifurcations and curvatures.", + "overview": "Semantic map (GT) of an X-ray coronary angiography processing;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centralized in the image with a buffer margin around the edges;", + "size": "The semantic map occupies the majority of the image space, with dimensions roughly corresponding to the image frame;", + "trend_shape": "The map displays a branching arterial structure with varying widths, extending from the top left to the lower right, indicating blood vessels with multiple bifurcations and curvatures." + }, + { + "image": "DCA1\\training\\annotations\\165gt.png", + "caption": "A black and white semantic map, representing the vascular structure from an X-ray coronary angiography to serve as ground truth (GT);From the DCA1 dataset;The semantic map is centrally located within the image canvas, occupying the majority of the space;The size of the semantic map is large, extending across the image from top left to bottom right, with detailed branching structures;The trend of the semantic map is a complex branching pattern with a primary artery extending vertically, and multiple secondary and tertiary branches diverging at various angles, resembling a tree-like vascular structure.", + "overview": "A black and white semantic map, representing the vascular structure from an X-ray coronary angiography to serve as ground truth (GT);", + "dataset": "From the DCA1 dataset;", + "location": "The semantic map is centrally located within the image canvas, occupying the majority of the space;", + "size": "The size of the semantic map is large, extending across the image from top left to bottom right, with detailed branching structures;", + "trend_shape": "The trend of the semantic map is a complex branching pattern with a primary artery extending vertically, and multiple secondary and tertiary branches diverging at various angles, resembling a tree-like vascular structure." + }, + { + "image": "DCA1\\training\\annotations\\167gt.png", + "caption": "Semantic map (GT) of an X-ray coronary angiography image;DCA1 dataset;The semantic map occupies the central portion of the image, predominantly located towards the upper half;The map is medium-sized, with a width that varies along its length;The trend of the map is curvilinear, with several branching points that taper, resembling arterial structures in a coronary angiogram.", + "overview": "Semantic map (GT) of an X-ray coronary angiography image;", + "dataset": "DCA1 dataset;", + "location": "The semantic map occupies the central portion of the image, predominantly located towards the upper half;", + "size": "The map is medium-sized, with a width that varies along its length;", + "trend_shape": "The trend of the map is curvilinear, with several branching points that taper, resembling arterial structures in a coronary angiogram." + }, + { + "image": "DCA1\\training\\annotations\\169gt.png", + "caption": "Ground truth semantic map of an X-ray coronary angiography image, illustrating the vascular structure;DCA1 dataset;The semantic map is centrally located within the image boundaries, occupying the majority of the image space;The size of the semantic map is large, extending from the top central region downwards, branching out towards the left and right edges;The trend is primarily vertical with multiple branching patterns, creating a tree-like shape, and the vessels appear to have varying thicknesses.", + "overview": "Ground truth semantic map of an X-ray coronary angiography image, illustrating the vascular structure;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centrally located within the image boundaries, occupying the majority of the image space;", + "size": "The size of the semantic map is large, extending from the top central region downwards, branching out towards the left and right edges;", + "trend_shape": "The trend is primarily vertical with multiple branching patterns, creating a tree-like shape, and the vessels appear to have varying thicknesses." + }, + { + "image": "DCA1\\training\\annotations\\173gt.png", + "caption": "Semantic map (ground truth/GT) for an X-ray coronary angiography image;From the DCA1 dataset;The semantic map is centrally located in the image, encompassing both upper and lower halves with a focus towards the right side;The size of the semantic map is relatively large, dominating much of the image space;The trend of the semantic map illustrates branching patterns resembling coronary arteries, with the shape being curvilinear and tapering towards the ends, indicative of arterial segments and bifurcations.", + "overview": "Semantic map (ground truth/GT) for an X-ray coronary angiography image;", + "dataset": "From the DCA1 dataset;", + "location": "The semantic map is centrally located in the image, encompassing both upper and lower halves with a focus towards the right side;", + "size": "The size of the semantic map is relatively large, dominating much of the image space;", + "trend_shape": "The trend of the semantic map illustrates branching patterns resembling coronary arteries, with the shape being curvilinear and tapering towards the ends, indicative of arterial segments and bifurcations." + }, + { + "image": "DCA1\\training\\annotations\\175gt.png", + "caption": "Semantically segmented ground truth (GT) of a coronary artery structure from a coronary angiography X-ray image;DCA1 dataset;The semantic map is centrally located within the image boundary with clear space around the edges;The semantic map varies in thickness from fine to moderate lines, depicting the coronary artery tree, and does not occupy the entire image frame, suggesting a contained region of interest;The trend shows a high fidelity representation of the coronary arterial tree with a primary branch extending upwards and bifurcating, with secondary branches showing complex, tortuous courses indicative of the natural curvature and branching of coronary arteries.", + "overview": "Semantically segmented ground truth (GT) of a coronary artery structure from a coronary angiography X-ray image;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centrally located within the image boundary with clear space around the edges;", + "size": "The semantic map varies in thickness from fine to moderate lines, depicting the coronary artery tree, and does not occupy the entire image frame, suggesting a contained region of interest;", + "trend_shape": "The trend shows a high fidelity representation of the coronary arterial tree with a primary branch extending upwards and bifurcating, with secondary branches showing complex, tortuous courses indicative of the natural curvature and branching of coronary arteries." + }, + { + "image": "DCA1\\training\\annotations\\177gt.png", + "caption": "This image is a black and white semantic map or ground truth (GT) for an X-ray coronary angiography image;from the DCA1 dataset;the semantic map is centrally located within the image against a solid black background;it covers a substantial portion of the image space with sufficient margin around the edges;the map features a branching structure akin to coronary arteries with a marked trend of tapering from proximal to distal segments, including curvilinear and angular shapes.", + "overview": "This image is a black and white semantic map or ground truth (GT) for an X-ray coronary angiography image;", + "dataset": "from the DCA1 dataset;", + "location": "the semantic map is centrally located within the image against a solid black background;", + "size": "it covers a substantial portion of the image space with sufficient margin around the edges;", + "trend_shape": "the map features a branching structure akin to coronary arteries with a marked trend of tapering from proximal to distal segments, including curvilinear and angular shapes." + }, + { + "image": "DCA1\\training\\annotations\\180gt.png", + "caption": "High-contrast, monochromatic semantic map of coronary arteries, representing ground truth (GT) data for X-ray coronary angiography imaging;From the DCA1 dataset;The semantic map is centrally positioned, covering the majority of the image canvas;The map displays a network of varying thickness, with artery representations ranging from fine hair-like lines to thicker curved segments;The trend lines in the map display a natural, curvilinear flow with branching patterns resembling coronary artery paths, featuring both smooth and sharp turns indicative of arterial transitions and bifurcations.", + "overview": "High-contrast, monochromatic semantic map of coronary arteries, representing ground truth (GT) data for X-ray coronary angiography imaging;", + "dataset": "From the DCA1 dataset;", + "location": "The semantic map is centrally positioned, covering the majority of the image canvas;", + "size": "The map displays a network of varying thickness, with artery representations ranging from fine hair-like lines to thicker curved segments;", + "trend_shape": "The trend lines in the map display a natural, curvilinear flow with branching patterns resembling coronary artery paths, featuring both smooth and sharp turns indicative of arterial transitions and bifurcations." + }, + { + "image": "DCA1\\training\\annotations\\181gt.png", + "caption": "Ground-truth (GT) semantic map of a coronary arterial structure in an X-ray angiography;from the DCA1 dataset;the semantic map is centrally located within the image boundaries, occupying the majority of the image area with clear margins;the semantic map is of varying thickness, with the thickest parts corresponding to major coronary arteries and gradually tapering off into finer branches, suggesting a hierarchical vascular structure;the trend depicted by the semantic map shows a natural branching pattern with primary arteries originating from a common root structure and dividing into secondary and tertiary vessels extending towards the periphery, resembling the anatomy of a coronary vascular tree.", + "overview": "Ground-truth (GT) semantic map of a coronary arterial structure in an X-ray angiography;", + "dataset": "from the DCA1 dataset;", + "location": "the semantic map is centrally located within the image boundaries, occupying the majority of the image area with clear margins;", + "size": "the semantic map is of varying thickness, with the thickest parts corresponding to major coronary arteries and gradually tapering off into finer branches, suggesting a hierarchical vascular structure;", + "trend_shape": "the trend depicted by the semantic map shows a natural branching pattern with primary arteries originating from a common root structure and dividing into secondary and tertiary vessels extending towards the periphery, resembling the anatomy of a coronary vascular tree." + }, + { + "image": "DCA1\\training\\annotations\\185gt.png", + "caption": "Semantic map (GT) of an X-ray coronary angiography image;DCA1 dataset;Semantic map centrally located within the image bounds;Image displays a network of lines varying in thickness, representing the coronary arteries, occupying approximately 60% of the image space;Lines exhibit a branching pattern, mimicking natural coronary artery structure, with smooth curves and tapering ends.", + "overview": "Semantic map (GT) of an X-ray coronary angiography image;", + "dataset": "DCA1 dataset;", + "location": "Semantic map centrally located within the image bounds;", + "size": "Image displays a network of lines varying in thickness, representing the coronary arteries, occupying approximately 60% of the image space;", + "trend_shape": "Lines exhibit a branching pattern, mimicking natural coronary artery structure, with smooth curves and tapering ends." + }, + { + "image": "DCA1\\training\\annotations\\187gt.png", + "caption": "This is a high-contrast, monochrome semantic map (ground truth, GT) of an X-ray coronary angiography image, highlighting the arterial structures.The semantic map originates from the DCA1 dataset.The semantic map is centrally located within the image, with a clear, unobstructed view, occupying the majority of the image area.The map presents as a network of thin to medium-width lines, varying in size, with the largest arterial structures being the most prominent, and smaller branches tapering off from them.Several linear structures exhibit a smooth, curvilinear trend, resembling the natural course of coronary arteries; shapes within the map imply bifurcations and overlap, indicative of the complex three-dimensional anatomy of coronary vasculature.", + "overview": "This is a high-contrast, monochrome semantic map (ground truth, GT) of an X-ray coronary angiography image, highlighting the arterial structures.", + "dataset": "The semantic map originates from the DCA1 dataset.", + "location": "The semantic map is centrally located within the image, with a clear, unobstructed view, occupying the majority of the image area.", + "size": "The map presents as a network of thin to medium-width lines, varying in size, with the largest arterial structures being the most prominent, and smaller branches tapering off from them.", + "trend_shape": "Several linear structures exhibit a smooth, curvilinear trend, resembling the natural course of coronary arteries; shapes within the map imply bifurcations and overlap, indicative of the complex three-dimensional anatomy of coronary vasculature." + }, + { + "image": "DCA1\\training\\annotations\\189gt.png", + "caption": "Ground true (GT) semantic map of an X-ray coronary angiography image;from the DCA1 dataset;the semantic map is centrally located within the image, occupying the majority of the middle portion;the map is medium-sized relative to the image, with clear space around its borders;the map features a complex branching pattern consisting of several main vessels that progressively divide into finer branches, displaying an organic and somewhat fractal tree-like structure.", + "overview": "Ground true (GT) semantic map of an X-ray coronary angiography image;", + "dataset": "from the DCA1 dataset;", + "location": "the semantic map is centrally located within the image, occupying the majority of the middle portion;", + "size": "the map is medium-sized relative to the image, with clear space around its borders;", + "trend_shape": "the map features a complex branching pattern consisting of several main vessels that progressively divide into finer branches, displaying an organic and somewhat fractal tree-like structure." + }, + { + "image": "DCA1\\training\\annotations\\191gt.png", + "caption": "Semantic map (ground truth, GT) of an X-ray coronary angiography;From the DCA1 dataset;The semantic map is displayed centrally in the image, with major and minor coronary artery structures distributed throughout the map;The size of the semantic map is moderate, covering a significant portion but not the entirety of the black background canvas;The map depicts a branching structure with a main artery curving downwards and several smaller bifurcations extending laterally, maintaining a realistic representation of coronary artery morphology.", + "overview": "Semantic map (ground truth, GT) of an X-ray coronary angiography;", + "dataset": "From the DCA1 dataset;", + "location": "The semantic map is displayed centrally in the image, with major and minor coronary artery structures distributed throughout the map;", + "size": "The size of the semantic map is moderate, covering a significant portion but not the entirety of the black background canvas;", + "trend_shape": "The map depicts a branching structure with a main artery curving downwards and several smaller bifurcations extending laterally, maintaining a realistic representation of coronary artery morphology." + }, + { + "image": "DCA1\\training\\annotations\\195gt.png", + "caption": "This image represents a semantic map or ground truth (GT) of curvilinear structures, specifically focusing on the visualization of coronary arteries; The dataset name is DCA1; The semantic map is centrally located within the image, covering the majority of the frame; The size of the semantic map is not explicitly provided but it occupies the central portion of the image, which could be estimated relative to the image's total dimensions; The trend of the semantic map is a complex, branching pattern that resembles the coronary arterial tree; the shape is composed of multiple curving lines that vary in curvature and thickness, representing the diverse anatomy of coronary arteries.", + "overview": "This image represents a semantic map or ground truth (GT) of curvilinear structures, specifically focusing on the visualization of coronary arteries;", + "dataset": "The dataset name is DCA1;", + "location": "The semantic map is centrally located within the image, covering the majority of the frame;", + "size": "The size of the semantic map is not explicitly provided but it occupies the central portion of the image, which could be estimated relative to the image's total dimensions;", + "trend_shape": "The trend of the semantic map is a complex, branching pattern that resembles the coronary arterial tree; the shape is composed of multiple curving lines that vary in curvature and thickness, representing the diverse anatomy of coronary arteries." + }, + { + "image": "DCA1\\training\\annotations\\197gt.png", + "caption": "This image is a semantic map, serving as a ground truth (GT) representation for an X-ray coronary angiography image;The image is from the DCA1 dataset;The semantic map is centrally located within the image, occupying a majority of the image area;The size of the semantic map is substantial and covers a significant portion of the image, although exact dimensions cannot be determined without a scale;The trend of the semantic map is linear with branching patterns, representing the coronary arteries, and the shape is elongated with multiple curves and bifurcations, indicative of vascular structures.", + "overview": "This image is a semantic map, serving as a ground truth (GT) representation for an X-ray coronary angiography image;", + "dataset": "The image is from the DCA1 dataset;", + "location": "The semantic map is centrally located within the image, occupying a majority of the image area;", + "size": "The size of the semantic map is substantial and covers a significant portion of the image, although exact dimensions cannot be determined without a scale;", + "trend_shape": "The trend of the semantic map is linear with branching patterns, representing the coronary arteries, and the shape is elongated with multiple curves and bifurcations, indicative of vascular structures." + }, + { + "image": "DCA1\\training\\annotations\\199gt.png", + "caption": "A semantic map of an X-ray coronary angiography highlighting the vascular structure;From the DCA1 dataset;The semantic map is centralized within the image boundaries;The map spans a significant portion of the image but does not fill the entire image area, maintaining clear margins;The vascular structures depicted have varying thickness and curvilinear forms, resembling arterial branches, with the main vessel trending diagonally from the top left corner to the central bottom, and smaller branches diverging throughout.", + "overview": "A semantic map of an X-ray coronary angiography highlighting the vascular structure;", + "dataset": "From the DCA1 dataset;", + "location": "The semantic map is centralized within the image boundaries;", + "size": "The map spans a significant portion of the image but does not fill the entire image area, maintaining clear margins;", + "trend_shape": "The vascular structures depicted have varying thickness and curvilinear forms, resembling arterial branches, with the main vessel trending diagonally from the top left corner to the central bottom, and smaller branches diverging throughout." + }, + { + "image": "DCA1\\training\\annotations\\1gt.png", + "caption": "A ground truth semantic map of X-ray coronary angiography;DCA1 dataset;Occupies the central region of the image against a black background;Comprehensive coverage of coronary vessels with variable widths ranging from thin to thick lines;Vessels depicted with high fidelity, showing branching patterns and curvature typical of coronary artery anatomy.", + "overview": "A ground truth semantic map of X-ray coronary angiography;", + "dataset": "DCA1 dataset;", + "location": "Occupies the central region of the image against a black background;", + "size": "Comprehensive coverage of coronary vessels with variable widths ranging from thin to thick lines;", + "trend_shape": "Vessels depicted with high fidelity, showing branching patterns and curvature typical of coronary artery anatomy." + }, + { + "image": "DCA1\\training\\annotations\\202gt.png", + "caption": "Semantic map of an X-ray coronary angiography image, representing the ground truth (GT) for vessel structures;DCA1 dataset;The semantic map is centered, occupying the majority of the image space;The map is medium-sized with high-contrast linear features against a black background;The vascular structures depicted show complex branching with a main central vessel tapering into thinner peripheral branches; the trend is serpentine with multiple bifurcations and a mixture of curvilinear and angular shapes.", + "overview": "Semantic map of an X-ray coronary angiography image, representing the ground truth (GT) for vessel structures;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centered, occupying the majority of the image space;", + "size": "The map is medium-sized with high-contrast linear features against a black background;", + "trend_shape": "The vascular structures depicted show complex branching with a main central vessel tapering into thinner peripheral branches; the trend is serpentine with multiple bifurcations and a mixture of curvilinear and angular shapes." + }, + { + "image": "DCA1\\training\\annotations\\205gt.png", + "caption": "A high-contrast semantic map representing arterial structures, identified as ground truth (GT) for X-ray coronary angiography;DCA1 dataset;The semantic map is centrally positioned, taking up a majority of the image area;The map occupies approximately 70% of the image, with varying line thicknesses representing different vessel calibers;The trend is a curvilinear, branching pattern characteristic of coronary arterial anatomy, with smooth curves and bifurcations that mimic the natural course of coronary arteries.", + "overview": "A high-contrast semantic map representing arterial structures, identified as ground truth (GT) for X-ray coronary angiography;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centrally positioned, taking up a majority of the image area;", + "size": "The map occupies approximately 70% of the image, with varying line thicknesses representing different vessel calibers;", + "trend_shape": "The trend is a curvilinear, branching pattern characteristic of coronary arterial anatomy, with smooth curves and bifurcations that mimic the natural course of coronary arteries." + }, + { + "image": "DCA1\\training\\annotations\\207gt.png", + "caption": "The image is a high-contrast semantic map (GT) of X-ray coronary angiography, highlighting vascular structures;from the DCA1 dataset;the semantic map is centrally located, occupying most of the image space;the semantic map presents with multiple branching vessel-like structures varying in size from fine to medium thickness, covering an approximate area of 80% of the image frame;the trend and shape of the vascular structures in the semantic map appear tortuous with several bifurcations and convergences, resembling a tree-like vascular pattern typical of coronary arteries.", + "overview": "The image is a high-contrast semantic map (GT) of X-ray coronary angiography, highlighting vascular structures;", + "dataset": "from the DCA1 dataset;", + "location": "the semantic map is centrally located, occupying most of the image space;", + "size": "the semantic map presents with multiple branching vessel-like structures varying in size from fine to medium thickness, covering an approximate area of 80% of the image frame;", + "trend_shape": "the trend and shape of the vascular structures in the semantic map appear tortuous with several bifurcations and convergences, resembling a tree-like vascular pattern typical of coronary arteries." + }, + { + "image": "DCA1\\training\\annotations\\209gt.png", + "caption": "Semantic map (GT) of X-ray coronary angiography displaying vascular structures;DCA1 dataset;The semantic map is centrally located within the image bounds;The size of the semantic map is relative to the image, encompassing a significant portion of the image area to represent the coronary arteries;The trend is a branching pattern originating from the top left and extending towards the lower regions, with the shape following the typical anatomy of coronary arteries, including main trunks and bifurcating smaller branches.", + "overview": "Semantic map (GT) of X-ray coronary angiography displaying vascular structures;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centrally located within the image bounds;", + "size": "The size of the semantic map is relative to the image, encompassing a significant portion of the image area to represent the coronary arteries;", + "trend_shape": "The trend is a branching pattern originating from the top left and extending towards the lower regions, with the shape following the typical anatomy of coronary arteries, including main trunks and bifurcating smaller branches." + }, + { + "image": "DCA1\\training\\annotations\\211gt.png", + "caption": "Semantic map (GT) of an X-ray coronary angiography showing vascular structures;DCA1 dataset;The semantic map is centrally located, occupying the majority of the image field;Large-scale semantic map with thickness variation in vascular representations;Linear and curvilinear trends with branching patterns, predominantly vertical and diagonal orientations.", + "overview": "Semantic map (GT) of an X-ray coronary angiography showing vascular structures;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centrally located, occupying the majority of the image field;", + "size": "Large-scale semantic map with thickness variation in vascular representations;", + "trend_shape": "Linear and curvilinear trends with branching patterns, predominantly vertical and diagonal orientations." + }, + { + "image": "DCA1\\training\\annotations\\213gt.png", + "caption": "Semantic map (GT) showcasing coronary artery structures;DCA1 dataset;Central portion of the image, occupying a majority of the image area;Varies in width, with the largest structures measuring approximately one-tenth of the image width;Linear and curvilinear structures branching out from a few central trunks; predominantly vertical orientation with minor diagonal branches.", + "overview": "Semantic map (GT) showcasing coronary artery structures;", + "dataset": "DCA1 dataset;", + "location": "Central portion of the image, occupying a majority of the image area;", + "size": "Varies in width, with the largest structures measuring approximately one-tenth of the image width;", + "trend_shape": "Linear and curvilinear structures branching out from a few central trunks; predominantly vertical orientation with minor diagonal branches." + }, + { + "image": "DCA1\\training\\annotations\\217gt.png", + "caption": "Semantic map (GT) of an X-ray coronary angiography image;DCA1 dataset;Centralized in the image, with clear separation from the edges;Medium size with high contrast outlines;Sinuous and curved trend with varied vessel diameters, resembling a typical coronary artery structure.", + "overview": "Semantic map (GT) of an X-ray coronary angiography image;", + "dataset": "DCA1 dataset;", + "location": "Centralized in the image, with clear separation from the edges;", + "size": "Medium size with high contrast outlines;", + "trend_shape": "Sinuous and curved trend with varied vessel diameters, resembling a typical coronary artery structure." + }, + { + "image": "DCA1\\training\\annotations\\219gt.png", + "caption": "Semantic map (GT) of an X-ray coronary angiography image showcasing vascular structures;From the DCA1 dataset;The semantic map is centralized in the image, extending towards the outer edges;The vascular representation spans the majority of the image, likely conforming to a standard medical imaging resolution;The semantic map displays a complex network of linear structures with varying curvature, representing the coronary arteries, with bifurcations and several branching patterns indicative of coronary vasculature.", + "overview": "Semantic map (GT) of an X-ray coronary angiography image showcasing vascular structures;", + "dataset": "From the DCA1 dataset;", + "location": "The semantic map is centralized in the image, extending towards the outer edges;", + "size": "The vascular representation spans the majority of the image, likely conforming to a standard medical imaging resolution;", + "trend_shape": "The semantic map displays a complex network of linear structures with varying curvature, representing the coronary arteries, with bifurcations and several branching patterns indicative of coronary vasculature." + }, + { + "image": "DCA1\\training\\annotations\\224gt.png", + "caption": "The image depicts a semantic map or ground truth (GT) outlining vascular structures from an angiogram. This map is part of the CHUAC dataset; The semantic map is centrally located, starting from the top left corner and extending towards the bottom right corner of the image; The map occupies a substantial portion of the image, with its longest pathway running diagonally and covering nearly the full length of the image; The trend and shape of the semantic map display a main curvilinear artery with several smaller, branching vessels, the main vessel has a sinuous trajectory with a prominent curve towards the bottom, while the branches vary in length and curve away at different angles, some appearing more linear and others more curved.", + "overview": "The image depicts a semantic map or ground truth (GT) outlining vascular structures from an angiogram.", + "dataset": "DCA1 dataset", + "location": "The semantic map is centrally located, starting from the top left corner and extending towards the bottom right corner of the image.", + "size": "The map occupies a substantial portion of the image, with its longest pathway running diagonally and covering nearly the full length of the image.", + "trend_shape": "The trend and shape of the semantic map display a main curvilinear artery with several smaller, branching vessels; the main vessel has a sinuous trajectory with a prominent curve towards the bottom, while the branches vary in length and curve away at different angles, some appearing more linear and others more curved." + }, + { + "image": "DCA1\\training\\annotations\\225gt.png", + "caption": "Semantic map (groundtruth, GT) of a coronary artery structure from an X-ray angiography;DCA1 dataset;The semantic map is centrally located in the image, occupying most of the image area;The size of the semantic map is large, extending close to the image borders;The trend of the semantic map is a branching pattern typical of coronary arteries with a variable thickness indicative of vessel caliber, tapering from the proximal to distal segments.", + "overview": "Semantic map (groundtruth, GT) of a coronary artery structure from an X-ray angiography;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centrally located in the image, occupying most of the image area;", + "size": "The size of the semantic map is large, extending close to the image borders;", + "trend_shape": "The trend of the semantic map is a branching pattern typical of coronary arteries with a variable thickness indicative of vessel caliber, tapering from the proximal to distal segments." + }, + { + "image": "DCA1\\training\\annotations\\229gt.png", + "caption": "This is a ground truth (GT) semantic map of curvilinear structures from an X-ray coronary angiography. Dataset: DCA1. Location: The semantic map is prominently displayed against a solid black background, occupying the full image from edge to edge with no visible borders. Size: The semantic map fills the entire image, suggesting that the map\u9225\u6a9a size is equivalent to the image dimensions. Trend and Shape: The map showcases a hierarchical, branching structure with a main curvilinear trunk extending from the top left corner and bifurcating into thinner, curved branches of varying lengths and orientations, simulating the anatomy of coronary arteries in high detail.", + "overview": "This is a ground truth (GT) semantic map of curvilinear structures from an X-ray coronary angiography.", + "dataset": "Dataset: DCA1.", + "location": "Location: The semantic map is prominently displayed against a solid black background, occupying the full image from edge to edge with no visible borders.", + "size": "Size: The semantic map fills the entire image, suggesting that the map\u9225\u6a9a size is equivalent to the image dimensions.", + "trend_shape": "Trend and Shape: The map showcases a hierarchical, branching structure with a main curvilinear trunk extending from the top left corner and bifurcating into thinner, curved branches of varying lengths and orientations, simulating the anatomy of coronary arteries in high detail." + }, + { + "image": "DCA1\\training\\annotations\\231gt.png", + "caption": "This image displays a semantic map, or ground truth (GT), of a coronary arterial system, indicating vessel outlines without surrounding anatomical context;The image is from the DCA1 dataset;The semantic map encompasses the entirety of the image, illustrating a coronary arterial tree layout;The semantic map is rendered in high contrast with the vessels varying in size from fine to medium thickness, all on a uniform black background;The trend of the semantic map shows a main coronary artery with branching vessels exhibiting smooth curves and bifurcations, representative of typical coronary anatomy.", + "overview": "This image displays a semantic map, or ground truth (GT), of a coronary arterial system, indicating vessel outlines without surrounding anatomical context;", + "dataset": "The image is from the DCA1 dataset;", + "location": "The semantic map encompasses the entirety of the image, illustrating a coronary arterial tree layout;", + "size": "The semantic map is rendered in high contrast with the vessels varying in size from fine to medium thickness, all on a uniform black background;", + "trend_shape": "The trend of the semantic map shows a main coronary artery with branching vessels exhibiting smooth curves and bifurcations, representative of typical coronary anatomy." + }, + { + "image": "DCA1\\training\\annotations\\233gt.png", + "caption": "Semantic map (ground truth) of coronary arteries extracted from an X-ray coronary angiography;DCA1 dataset;The semantic map is centrally located, occupying a majority of the image area, with clear separation from the image boundaries;The semantic map varies in width, with the broader segments appearing in the center and tapering toward the ends; the overall dimensions are not specified but it scales proportionately to the image size;The map showcases a branching pattern with curved segments, indicative of the natural course of coronary arteries, with smooth transitions in curvature and bifurcations evident along the length of the vessels.", + "overview": "Semantic map (ground truth) of coronary arteries extracted from an X-ray coronary angiography;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centrally located, occupying a majority of the image area, with clear separation from the image boundaries;", + "size": "The semantic map varies in width, with the broader segments appearing in the center and tapering toward the ends; the overall dimensions are not specified but it scales proportionately to the image size;", + "trend_shape": "The map showcases a branching pattern with curved segments, indicative of the natural course of coronary arteries, with smooth transitions in curvature and bifurcations evident along the length of the vessels." + }, + { + "image": "DCA1\\training\\annotations\\235gt.png", + "caption": "The image is a semantic map or ground truth (GT) of a coronary artery system; DCA1 dataset. The map is oriented along the left side of the image, curving from the top left corner down to the bottom center; The map covers a large portion of the image, with the arterial paths varying in thickness; The trend of the semantic map is a dominant, curvilinear artery that starts broadly at the top left, narrows as it descends, and then branches out into multiple finer pathways; some of these pathways form closed loops, while others end abruptly or branch further, creating a complex network.", + "overview": "The image is a semantic map or ground truth (GT) of a coronary artery system.", + "dataset": "DCA1 dataset", + "location": "The map is oriented along the left side of the image, curving from the top left corner down to the bottom center.", + "size": "The map covers a large portion of the image, with the arterial paths varying in thickness.", + "trend_shape": "The trend of the semantic map is a dominant, curvilinear artery that starts broadly at the top left, narrows as it descends, and then branches out into multiple finer pathways; some of these pathways form closed loops, while others end abruptly or branch further, creating a complex network." + }, + { + "image": "DCA1\\training\\annotations\\239gt.png", + "caption": "Semantic map of a coronary artery depicted as a white outline on a black background, serving as the ground truth (GT) for the x-ray coronary angiography image;DCA1 dataset;The semantic map is centrally positioned within the image, occupying the majority of the image space;The size of the semantic map is proportionate to the image, extending almost the full height and breadth of the image canvas;The trend of the semantic map follows a natural, curvilinear path of a coronary artery system with branching structures indicating the major coronary arteries and their subdivisions, exhibiting a twisting and tapering shape.", + "overview": "Semantic map of a coronary artery depicted as a white outline on a black background, serving as the ground truth (GT) for the x-ray coronary angiography image;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centrally positioned within the image, occupying the majority of the image space;", + "size": "The size of the semantic map is proportionate to the image, extending almost the full height and breadth of the image canvas;", + "trend_shape": "The trend of the semantic map follows a natural, curvilinear path of a coronary artery system with branching structures indicating the major coronary arteries and their subdivisions, exhibiting a twisting and tapering shape." + }, + { + "image": "DCA1\\training\\annotations\\23gt.png", + "caption": "Semantic map (ground truth) of an X-ray coronary angiography image;from the DCA1 dataset;The semantic map is centralized in the image, predominantly occupying the upper half;The map spans most of the image's width and about half of its height, with varying line thickness;Trends include multiple branching patterns and curvilinear shapes representing the coronary arteries, with both smooth curves and sharper angles illustrating vessel trajectories.", + "overview": "Semantic map (ground truth) of an X-ray coronary angiography image;", + "dataset": "from the DCA1 dataset;", + "location": "The semantic map is centralized in the image, predominantly occupying the upper half;", + "size": "The map spans most of the image's width and about half of its height, with varying line thickness;", + "trend_shape": "Trends include multiple branching patterns and curvilinear shapes representing the coronary arteries, with both smooth curves and sharper angles illustrating vessel trajectories." + }, + { + "image": "DCA1\\training\\annotations\\241gt.png", + "caption": "Ground truth semantic map of a coronary artery system from an X-ray angiography;DCA1 dataset;Semantic map centrally located, occupying the majority of the image field;Fine lines with varied thickness represent arterial structure spanning most of the image dimension;Arterial branches displayed with branching patterns, which taper as they extend from the main trunk, following a generally curved and elongated trend, with smooth variations in curvature and bifurcations typical of coronary arterial anatomy.", + "overview": "Ground truth semantic map of a coronary artery system from an X-ray angiography;", + "dataset": "DCA1 dataset;", + "location": "Semantic map centrally located, occupying the majority of the image field;", + "size": "Fine lines with varied thickness represent arterial structure spanning most of the image dimension;", + "trend_shape": "Arterial branches displayed with branching patterns, which taper as they extend from the main trunk, following a generally curved and elongated trend, with smooth variations in curvature and bifurcations typical of coronary arterial anatomy." + }, + { + "image": "DCA1\\training\\annotations\\243gt.png", + "caption": "Ground truth semantic map of an X-ray coronary angiography image;DCA1 dataset;The semantic map covers the central area of the image;Unable to determine exact size without reference scale, but it occupies a majority of the image frame;The map shows a complex network of branching lines, representing coronary arteries, with varying thickness and curvilinear shapes, predominantly oriented diagonally from top left to bottom right of the image.", + "overview": "Ground truth semantic map of an X-ray coronary angiography image;", + "dataset": "DCA1 dataset;", + "location": "The semantic map covers the central area of the image;", + "size": "Unable to determine exact size without reference scale, but it occupies a majority of the image frame;", + "trend_shape": "The map shows a complex network of branching lines, representing coronary arteries, with varying thickness and curvilinear shapes, predominantly oriented diagonally from top left to bottom right of the image." + }, + { + "image": "DCA1\\training\\annotations\\247gt.png", + "caption": "Semantic map (GT) of coronary arteries outlined in a high-contrast, binary format;DCA1 dataset;The semantic map covers the central and upper portions of the image, with branches extending to the periphery;The map displays a complex network of coronary arteries of varying sizes, with the largest artery depicted in the center of the image, tapering into finer branches towards the edges;The trend is a hierarchical branching from the central thicker trunk into progressively finer vessels, showing a tree-like structure that resembles the coronary arterial system with a main vessel bifurcating into smaller branches and thus demonstrating the natural vascular pattern.", + "overview": "Semantic map (GT) of coronary arteries outlined in a high-contrast, binary format;", + "dataset": "DCA1 dataset;", + "location": "The semantic map covers the central and upper portions of the image, with branches extending to the periphery;", + "size": "The map displays a complex network of coronary arteries of varying sizes, with the largest artery depicted in the center of the image, tapering into finer branches towards the edges;", + "trend_shape": "The trend is a hierarchical branching from the central thicker trunk into progressively finer vessels, showing a tree-like structure that resembles the coronary arterial system with a main vessel bifurcating into smaller branches and thus demonstrating the natural vascular pattern." + }, + { + "image": "DCA1\\training\\annotations\\249gt.png", + "caption": "Ground Truth (GT) semantic map of an X-ray coronary angiography image, depicting vascular structures;DCA1 dataset;The semantic map is centered within the image frame, covering the majority of the image area;The size of the semantic map is large, with the main vessel artery depicted as the thickest line running vertically nearly the full length of the image, branching out into thinner vessels;The trend of the semantic map shows a hierarchical vascular structure with one main thick vessel tapering into multiple thinner branches, exhibiting a tree-like pattern with curvilinear shapes and bifurcations throughout the map.", + "overview": "Ground Truth (GT) semantic map of an X-ray coronary angiography image, depicting vascular structures;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centered within the image frame, covering the majority of the image area;", + "size": "The size of the semantic map is large, with the main vessel artery depicted as the thickest line running vertically nearly the full length of the image, branching out into thinner vessels;", + "trend_shape": "The trend of the semantic map shows a hierarchical vascular structure with one main thick vessel tapering into multiple thinner branches, exhibiting a tree-like pattern with curvilinear shapes and bifurcations throughout the map." + }, + { + "image": "DCA1\\training\\annotations\\253gt.png", + "caption": "High-contrast black and white image representing a semantic map or ground truth (GT) of X-ray coronary angiography;From the DCA1 dataset;The semantic map is centrally located within the image, predominantly occupying the middle portion, and is displayed against a solid black background;The semantic map, maintaining a consistent width, extends throughout the image in various directions;The map features a complex branching pattern resembling arterial vessels with multiple bifurcations and variations in branch length and curvature, suggesting a detailed representation of coronary arterial structures.", + "overview": "High-contrast black and white image representing a semantic map or ground truth (GT) of X-ray coronary angiography;", + "dataset": "From the DCA1 dataset;", + "location": "The semantic map is centrally located within the image, predominantly occupying the middle portion, and is displayed against a solid black background;", + "size": "The semantic map, maintaining a consistent width, extends throughout the image in various directions;", + "trend_shape": "The map features a complex branching pattern resembling arterial vessels with multiple bifurcations and variations in branch length and curvature, suggesting a detailed representation of coronary arterial structures." + }, + { + "image": "DCA1\\training\\annotations\\255gt.png", + "caption": "The image presents a simplified white-on-black semantic map of a coronary artery system, functioning as a ground truth (GT) for reference purposes in medical imaging;This semantic map is derived from the DCA1 dataset;The semantic map is centrally located and occupies a majority of the image space, leaving a narrow black border around the map's periphery;The size of the semantic map is relatively large within the frame of the image, with varying thicknesses of the branches representing the coronary arteries;The trend of the semantic map displays complex branching, including both major and minor coronary artery pathways, with a meandering yet generally vertical orientation and a natural, tree-like bifurcation pattern.", + "overview": "The image presents a simplified white-on-black semantic map of a coronary artery system, functioning as a ground truth (GT) for reference purposes in medical imaging;", + "dataset": "This semantic map is derived from the DCA1 dataset;", + "location": "The semantic map is centrally located and occupies a majority of the image space, leaving a narrow black border around the map's periphery;", + "size": "The size of the semantic map is relatively large within the frame of the image, with varying thicknesses of the branches representing the coronary arteries;", + "trend_shape": "The trend of the semantic map displays complex branching, including both major and minor coronary artery pathways, with a meandering yet generally vertical orientation and a natural, tree-like bifurcation pattern." + }, + { + "image": "DCA1\\training\\annotations\\257gt.png", + "caption": "This image represents a semantic map or ground truth (GT) of a coronary artery structure; The dataset is referred to as DCA1; The semantic map is centrally located within the image, occupying the majority of the space; The size of the semantic map is expansive, extending nearly the full height and width of the image; The trend of the semantic map is elongated and winding, with a curvilinear shape that branches out into finer delineations at the ends.", + "overview": "This image represents a semantic map or ground truth (GT) of a coronary artery structure.", + "dataset": "The dataset is referred to as DCA1.", + "location": "The semantic map is centrally located within the image, occupying the majority of the space.", + "size": "The size of the semantic map is expansive, extending nearly the full height and width of the image.", + "trend_shape": "The trend of the semantic map is elongated and winding, with a curvilinear shape that branches out into finer delineations at the ends." + }, + { + "image": "DCA1\\training\\annotations\\259gt.png", + "caption": "Semantic map (GT) of an X-ray coronary angiography;DCA1 dataset;The semantic map is centrally located within the image occupying the majority of the space;The semantic map is medium in size, with a moderate level of complexity, showing a network of lines and curves;The trend of the semantic map is vertical with a slight rightward drift, and the shape consists of branching structures typical of coronary arteries, including primary branches and secondary bifurcations.", + "overview": "Semantic map (GT) of an X-ray coronary angiography;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centrally located within the image occupying the majority of the space;", + "size": "The semantic map is medium in size, with a moderate level of complexity, showing a network of lines and curves;", + "trend_shape": "The trend of the semantic map is vertical with a slight rightward drift, and the shape consists of branching structures typical of coronary arteries, including primary branches and secondary bifurcations." + }, + { + "image": "DCA1\\training\\annotations\\261gt.png", + "caption": "Semantic map (ground truth) of coronary arteries extracted from an X-ray angiography image;From the DCA1 dataset;The semantic map is centrally located within the image, depicting the branching structure of coronary arteries;The map spans a majority of the image area, with varying line thickness representing different vessel diameters;The trend showcases a complex vascular structure with multiple bifurcations, with the primary vessel originating from the top left corner and branching extensively towards the bottom right, the lines form smooth, curvilinear shapes characteristic of coronary artery paths.", + "overview": "Semantic map (ground truth) of coronary arteries extracted from an X-ray angiography image;", + "dataset": "From the DCA1 dataset;", + "location": "The semantic map is centrally located within the image, depicting the branching structure of coronary arteries;", + "size": "The map spans a majority of the image area, with varying line thickness representing different vessel diameters;", + "trend_shape": "The trend showcases a complex vascular structure with multiple bifurcations, with the primary vessel originating from the top left corner and branching extensively towards the bottom right, the lines form smooth, curvilinear shapes characteristic of coronary artery paths." + }, + { + "image": "DCA1\\training\\annotations\\265gt.png", + "caption": "Semantic map (GT) of X-ray coronary angiography showing vascular structures clearly;DCA1 dataset;Semantic map occupies central to upper two-third portion of the image, framed vertically;Semantic map is high contrast with varying line widths representing vessel calibers;Multiple branching patterns, predominantly vertical with curvilinear and some serpentine trends, mimicking coronary arterial tree shape.", + "overview": "Semantic map (GT) of X-ray coronary angiography showing vascular structures clearly;", + "dataset": "DCA1 dataset;", + "location": "Semantic map occupies central to upper two-third portion of the image, framed vertically;", + "size": "Semantic map is high contrast with varying line widths representing vessel calibers;", + "trend_shape": "Multiple branching patterns, predominantly vertical with curvilinear and some serpentine trends, mimicking coronary arterial tree shape." + }, + { + "image": "DCA1\\training\\annotations\\2gt.png", + "caption": "Unfortunately, I cannot assist with generating captions that include specific details about content in images that are not visually available or verifiable through the provided image.", + "overview": "Unfortunately, I cannot assist with generating captions that include specific details about content in images that are not visually available or verifiable through the provided image." + }, + { + "image": "DCA1\\training\\annotations\\67gt.png", + "caption": "The image displays a semantic map or ground truth (GT) depicting the outline of coronary arteries. The semantic map is from the DCA1 dataset. The semantic map is prominently positioned in the center of the image, with clear margins around the periphery. The semantic map spans a significant portion of the image, with its longest dimension stretching diagonally across the image from the top left corner to the bottom right. The semantic map features a main curvilinear structure that bifurcates into two distinct branches; one branch curls upward while the other extends downwards, both featuring smooth, flowing lines without sharp angles.", + "overview": "The image displays a semantic map or ground truth (GT) depicting the outline of coronary arteries.", + "dataset": "The semantic map is from the DCA1 dataset.", + "location": "The semantic map is prominently positioned in the center of the image, with clear margins around the periphery.", + "size": "The semantic map spans a significant portion of the image, with its longest dimension stretching diagonally across the image from the top left corner to the bottom right.", + "trend_shape": "The semantic map features a main curvilinear structure that bifurcates into two distinct branches; one branch curls upward while the other extends downwards, both featuring smooth, flowing lines without sharp angles." + }, + { + "image": "DCA1\\training\\annotations\\79gt.png", + "caption": "Semantic map (GT) of a coronary angiography image;DCA1 dataset;Semantic map occupies the central and upper left area of the image;Semantic map has a medium size compared to the image frame;Contains branching linear structures of varying thickness representing coronary arteries with a trend extending from the center to the upper left corner, overall shape resembling a tree-like vascular pattern.", + "overview": "Semantic map (GT) of a coronary angiography image;", + "dataset": "DCA1 dataset;", + "location": "Semantic map occupies the central and upper left area of the image;", + "size": "Semantic map has a medium size compared to the image frame;", + "trend_shape": "Contains branching linear structures of varying thickness representing coronary arteries with a trend extending from the center to the upper left corner, overall shape resembling a tree-like vascular pattern." + }, + { + "image": "DCA1\\training\\annotations\\81gt.png", + "caption": "Semantic map (GT) for an X-ray coronary angiography image, depicting vascular structures as simplified line work;DCA1 dataset;The semantic map is centered and occupies the majority of the image space;The size is large, extending from the top left corner to the bottom right, nearly spanning the full height and width of the image;The trend is primarily curvilinear, with several branching points and variable thickness, suggesting arterial branches with both major and finer vessels.", + "overview": "Semantic map (GT) for an X-ray coronary angiography image, depicting vascular structures as simplified line work;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centered and occupies the majority of the image space;", + "size": "The size is large, extending from the top left corner to the bottom right, nearly spanning the full height and width of the image;", + "trend_shape": "The trend is primarily curvilinear, with several branching points and variable thickness, suggesting arterial branches with both major and finer vessels." + }, + { + "image": "DCA1\\training\\annotations\\85gt.png", + "caption": "Semantic map (GT) of coronary arteries from an X-ray coronary angiography image;DCA1 dataset;The semantic map is centered, occupying the majority of the image space;The size of the semantic map is large, extending almost the full height and width of the image;The trend shows a branching vascular structure with a main vessel delineation and multiple bifurcations, demonstrating both linear and curvilinear shapes.", + "overview": "Semantic map (GT) of coronary arteries from an X-ray coronary angiography image;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centered, occupying the majority of the image space;", + "size": "The size of the semantic map is large, extending almost the full height and width of the image;", + "trend_shape": "The trend shows a branching vascular structure with a main vessel delineation and multiple bifurcations, demonstrating both linear and curvilinear shapes." + }, + { + "image": "DCA1\\training\\annotations\\87gt.png", + "caption": "High-contrast semantic map representing the arterial structure in an X-ray coronary angiography from the DCA1 dataset, denoting the ground truth (GT);DCA1 dataset;The semantic map is centered and occupies the majority of the image space, with clear margins against the black background;The size spans approximately the full height and two-thirds of the width of the image, with variable thickness of lines representing the arteries;The arterial trends show bifurcations and curvatures typical of coronary anatomy, with a mix of straight segments and smoothly curving lines indicating arterial pathways.", + "overview": "High-contrast semantic map representing the arterial structure in an X-ray coronary angiography from the DCA1 dataset, denoting the ground truth (GT);", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centered and occupies the majority of the image space, with clear margins against the black background;", + "size": "The size spans approximately the full height and two-thirds of the width of the image, with variable thickness of lines representing the arteries;", + "trend_shape": "The arterial trends show bifurcations and curvatures typical of coronary anatomy, with a mix of straight segments and smoothly curving lines indicating arterial pathways." + }, + { + "image": "DCA1\\training\\annotations\\89gt.png", + "caption": "Semantic map (GT) of an X-ray coronary angiography;DCA1 dataset;The map occupies the central region of the image, surrounded by a uniform empty space;The map's size is large in relation to the image, with fine lines representing the coronary arteries;The trend is a branching pattern that starts from the top of the image and spans downward with multiple bifurcations; arteries are elongated with smooth curves and varied angulations.", + "overview": "Semantic map (GT) of an X-ray coronary angiography;", + "dataset": "DCA1 dataset;", + "location": "The map occupies the central region of the image, surrounded by a uniform empty space;", + "size": "The map's size is large in relation to the image, with fine lines representing the coronary arteries;", + "trend_shape": "The trend is a branching pattern that starts from the top of the image and spans downward with multiple bifurcations; arteries are elongated with smooth curves and varied angulations." + }, + { + "image": "DCA1\\training\\annotations\\92gt.png", + "caption": "A semantic map or ground truth (GT) representing coronary artery paths; DCA1 dataset; The semantic map traces along the upper half of the image, extending from the top center to the bottom left quadrant; The size of the semantic map is relatively large, covering the majority of the image space, with a significant length and variable width along its course; The main artery of the semantic map starts at the top center with a broad, curving path that narrows as it winds down to the bottom left; small, intricate branches extend from the main path, displaying various curvatures and angles, creating a detailed and complex vascular network.", + "overview": "A semantic map or ground truth (GT) representing coronary artery paths.", + "dataset": "DCA1 dataset", + "location": "The semantic map traces along the upper half of the image, extending from the top center to the bottom left quadrant.", + "size": "The size of the semantic map is relatively large, covering the majority of the image space, with a significant length and variable width along its course.", + "trend_shape": "The main artery of the semantic map starts at the top center with a broad, curving path that narrows as it winds down to the bottom left; small, intricate branches extend from the main path, displaying various curvatures and angles, creating a detailed and complex vascular network." + }, + { + "image": "DCA1\\training\\annotations\\93gt.png", + "caption": "Ground truth semantic map of a coronary angiography;DCA1 dataset;The semantic map is centrally located within the image, occupying the majority of the frame;The size of the semantic map is large, covering approximately 80% of the image area;The trend of the semantic map displays a complex, branching vascular structure with varying vessel diameters and lengths, featuring both long, gently curving segments and shorter, more angular branches.", + "overview": "Ground truth semantic map of a coronary angiography;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centrally located within the image, occupying the majority of the frame;", + "size": "The size of the semantic map is large, covering approximately 80% of the image area;", + "trend_shape": "The trend of the semantic map displays a complex, branching vascular structure with varying vessel diameters and lengths, featuring both long, gently curving segments and shorter, more angular branches." + }, + { + "image": "DCA1\\training\\annotations\\95gt.png", + "caption": "A semantic map or ground truth (GT) highlighting the arterial structure in an X-ray coronary angiography image;from the DCA1 dataset;the map is centralized against a dark background, occupying the majority of the image space;substantial in size, the map spans horizontally across the field, taking up roughly 80% of the width and 60% of the height of the image frame;the arterial structure trends from upper left to lower right with primary branches extending downwards and a notable bifurcation on the lower branch, all depicted by smooth, curved lines that taper off, indicating the vessels' decreasing diameter.", + "overview": "A semantic map or ground truth (GT) highlighting the arterial structure in an X-ray coronary angiography image;", + "dataset": "from the DCA1 dataset;", + "location": "the map is centralized against a dark background, occupying the majority of the image space;", + "size": "substantial in size, the map spans horizontally across the field, taking up roughly 80% of the width and 60% of the height of the image frame;", + "trend_shape": "the arterial structure trends from upper left to lower right with primary branches extending downwards and a notable bifurcation on the lower branch, all depicted by smooth, curved lines that taper off, indicating the vessels' decreasing diameter." + }, + { + "image": "DCA1\\training\\annotations\\99gt.png", + "caption": "This is a semantic map or ground truth (GT) for an X-ray coronary angiography image, depicting arterial pathways. The image is part of the DCA1 dataset. The semantic map is positioned off-center towards the upper left quadrant of the image, leaving a larger empty space in the lower right. The semantic map occupies a small to moderate area of the image, with the depicted structures not extending to the image borders. The trend of the semantic map is a complex, branching structure with multiple curvilinear paths; one primary path extends from the top left, branching out into three thinner paths, two of which are oriented upwards and one downwards, with varying curvature and lengths.", + "overview": "This is a semantic map or ground truth (GT) for an X-ray coronary angiography image, depicting arterial pathways.", + "dataset": "The image is part of the DCA1 dataset.", + "location": "The semantic map is positioned off-center towards the upper left quadrant of the image, leaving a larger empty space in the lower right.", + "size": "The semantic map occupies a small to moderate area of the image, with the depicted structures not extending to the image borders.", + "trend_shape": "The trend of the semantic map is a complex, branching structure with multiple curvilinear paths; one primary path extends from the top left, branching out into three thinner paths, two of which are oriented upwards and one downwards, with varying curvature and lengths." + }, + { + "image": "DCA1\\test\\images\\10img.png", + "caption": "Monochromatic X-ray image showcasing a coronary artery of the heart with injected contrast medium;DCA1 dataset;Coronary angiography is centrally located in the image, predominantly in the upper and right portions;The coronary angiography shows blood vessels of varying diameters, with some segments below 2mm in size;The blood vessels exhibit tortuosity with areas of both smooth curves and sharper bends, following a generally downward and rightward trend with some branching patterns;The background is homogeneous and slightly mottled, providing clear contrast to the vessels.", + "overview": "Monochromatic X-ray image showcasing a coronary artery of the heart with injected contrast medium;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located in the image, predominantly in the upper and right portions;", + "size": "The coronary angiography shows blood vessels of varying diameters, with some segments below 2mm in size;", + "trend_shape": "The blood vessels exhibit tortuosity with areas of both smooth curves and sharper bends, following a generally downward and rightward trend with some branching patterns;", + "background": "The background is homogeneous and slightly mottled, providing clear contrast to the vessels." + }, + { + "image": "DCA1\\test\\images\\12img.png", + "caption": "Medical X-ray image showing coronary arteries of the heart;DCA1 dataset;Coronary angiography is centrally located;The coronary arteries appear fine and detailed;The arteries exhibit a branching pattern with smooth curves and bifurcations;The background is uniform and radiolucent.", + "overview": "Medical X-ray image showing coronary arteries of the heart;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located;", + "size": "The coronary arteries appear fine and detailed;", + "trend_shape": "The arteries exhibit a branching pattern with smooth curves and bifurcations;", + "background": "The background is uniform and radiolucent." + }, + { + "image": "DCA1\\test\\images\\14img.png", + "caption": "Monochrome X-ray image displaying the arterial structure of the heart;DCA1 dataset;Coronary angiography prominently visible in the center of the image with the catheter tip entering from the top left corner;The angiography depicts vessels of varying diameter, with the main arterial trunk being larger and secondary branches tapering to finer vessels;The coronary arteries display a tortuous route with smooth curves and bifurcating branches, following the anatomical heart contour;The background is uniform and featureless, enhancing the contrast of the angiography.", + "overview": "Monochrome X-ray image displaying the arterial structure of the heart;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography prominently visible in the center of the image with the catheter tip entering from the top left corner;", + "size": "The angiography depicts vessels of varying diameter, with the main arterial trunk being larger and secondary branches tapering to finer vessels;", + "trend_shape": "The coronary arteries display a tortuous route with smooth curves and bifurcating branches, following the anatomical heart contour;", + "background": "The background is uniform and featureless, enhancing the contrast of the angiography." + }, + { + "image": "DCA1\\test\\images\\16img.png", + "caption": "A grayscale X-ray image showing the detailed structure of coronary arteries;DCA1 dataset;The coronary angiography is centrally located in the image;The coronary angiography depicts arteries of various calibers, with the main artery appearing prominent and branches tapering in size;The main coronary artery shows a smooth, curved trajectory with smaller branching vessels that exhibit a tortuous and finer course;The background is uniformly dark with no discernible structures.", + "overview": "A grayscale X-ray image showing the detailed structure of coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is centrally located in the image;", + "size": "The coronary angiography depicts arteries of various calibers, with the main artery appearing prominent and branches tapering in size;", + "trend_shape": "The main coronary artery shows a smooth, curved trajectory with smaller branching vessels that exhibit a tortuous and finer course;", + "background": "The background is uniformly dark with no discernible structures." + }, + { + "image": "DCA1\\test\\images\\18img.png", + "caption": "Grayscale X-ray image of coronary arteries with contrast;DCA1 dataset;Coronary angiography displayed centrally in the image, with catheter insertion visible at the top;Variable vessel size, with most arteries appearing fine and delicate; prominent main coronary arteries depicted with a thicker appearance;Arteries exhibit a branching and curving pattern, with some showing smooth contours while others appear irregular, suggesting possible variations in flow or vessel wall characteristics;Homogenous gray background with gradient shades due to the X-ray imaging technique.", + "overview": "Grayscale X-ray image of coronary arteries with contrast;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography displayed centrally in the image, with catheter insertion visible at the top;", + "size": "Variable vessel size, with most arteries appearing fine and delicate; prominent main coronary arteries depicted with a thicker appearance;", + "trend_shape": "Arteries exhibit a branching and curving pattern, with some showing smooth contours while others appear irregular, suggesting possible variations in flow or vessel wall characteristics;", + "background": "Homogenous gray background with gradient shades due to the X-ray imaging technique." + }, + { + "image": "DCA1\\test\\images\\20img.png", + "caption": "X-ray image of a coronary angiogram showing contrast-filled coronary arteries;DCA1 dataset;Coronary angiography is centered in the image, displaying the left coronary artery system;Coronary angiography traces arteries of varying sizes from a few millimeters in diameter, with the main artery being the most prominent;Arteries exhibit a branching structure with smooth contours; the main artery has a tortuous course with uniform luminal dimensions before bifurcating into smaller branches;The background is homogenous and featureless, providing contrast to the highlighted coronary arteries.", + "overview": "X-ray image of a coronary angiogram showing contrast-filled coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centered in the image, displaying the left coronary artery system;", + "size": "Coronary angiography traces arteries of varying sizes from a few millimeters in diameter, with the main artery being the most prominent;", + "trend_shape": "Arteries exhibit a branching structure with smooth contours; the main artery has a tortuous course with uniform luminal dimensions before bifurcating into smaller branches;", + "background": "The background is homogenous and featureless, providing contrast to the highlighted coronary arteries." + }, + { + "image": "DCA1\\test\\images\\24img.png", + "caption": "Black and white X-ray image displaying the arterial structure of a heart;DCA1 dataset;The coronary angiography is centrally located in the image, depicting the heart's left coronary arterial system;The overall size of the coronary angiography is moderate, with varying vessel diameters;The main coronary arteries show a branching pattern with smooth curves and tapering; the left anterior descending artery and its side branches, as well as the circumflex artery with its obtuse marginal branches, are visible;Uniform, dark background with minimal artifacts.", + "overview": "Black and white X-ray image displaying the arterial structure of a heart;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is centrally located in the image, depicting the heart's left coronary arterial system;", + "size": "The overall size of the coronary angiography is moderate, with varying vessel diameters;", + "trend_shape": "The main coronary arteries show a branching pattern with smooth curves and tapering; the left anterior descending artery and its side branches, as well as the circumflex artery with its obtuse marginal branches, are visible;", + "background": "Uniform, dark background with minimal artifacts." + }, + { + "image": "DCA1\\test\\images\\26img.png", + "caption": "Monochromatic X-ray coronary angiography image displaying high-contrast vasculature;DCA1 dataset;The coronary angiography is centrally located, predominantly in the upper half of the image with visible branching arteries;The size of the coronary angiography within the image is large, showing extensive coverage of the arterial network;The trend of the coronary angiography is tortuous with smooth, curved pathways, and the shape of the vasculature is elongated with uniformly tapering branches;The background is uniformly dark with minimal noise, providing clear contrast for the vascular structures.", + "overview": "Monochromatic X-ray coronary angiography image displaying high-contrast vasculature;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is centrally located, predominantly in the upper half of the image with visible branching arteries;", + "size": "The size of the coronary angiography within the image is large, showing extensive coverage of the arterial network;", + "trend_shape": "The trend of the coronary angiography is tortuous with smooth, curved pathways, and the shape of the vasculature is elongated with uniformly tapering branches;", + "background": "The background is uniformly dark with minimal noise, providing clear contrast for the vascular structures." + }, + { + "image": "DCA1\\test\\images\\28img.png", + "caption": "Monochrome radiographic image of a human chest showing coronary arteries illuminated by contrast media;DCA1 dataset;Coronary angiography centrally located on the left side of the image, involving the heart region;Vessels vary in size with a main artery approximately 2 to 4 mm in diameter and branching vessels progressively narrower;Arterial system showcases a branching pattern with a smooth trend; primary artery courses downwards with bifurcations extending laterally in a curvilinear fashion;Uniform, dark background with low contrast apart from the highlighted vasculature.", + "overview": "Monochrome radiographic image of a human chest showing coronary arteries illuminated by contrast media;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography centrally located on the left side of the image, involving the heart region;", + "size": "Vessels vary in size with a main artery approximately 2 to 4 mm in diameter and branching vessels progressively narrower;", + "trend_shape": "Arterial system showcases a branching pattern with a smooth trend; primary artery courses downwards with bifurcations extending laterally in a curvilinear fashion;", + "background": "Uniform, dark background with low contrast apart from the highlighted vasculature." + }, + { + "image": "DCA1\\test\\images\\30img.png", + "caption": "Monochromatic X-ray image showing contrast-enhanced coronary arteries;DCA1 dataset;The coronary angiography is central in the image, with the heart positioned in the middle;The coronary angiography extends across the image, with vessels of varying calibers;Arteries appear tortuous with both smooth and irregular contours; some branching and overlapping vessels;Uniform, translucent background with soft tissue shadows.", + "overview": "Monochromatic X-ray image showing contrast-enhanced coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is central in the image, with the heart positioned in the middle;", + "size": "The coronary angiography extends across the image, with vessels of varying calibers;", + "trend_shape": "Arteries appear tortuous with both smooth and irregular contours; some branching and overlapping vessels;", + "background": "Uniform, translucent background with soft tissue shadows." + }, + { + "image": "DCA1\\test\\images\\32img.png", + "caption": "X-ray image showing a coronary angiography procedure with contrast;DCA1 dataset;Coronary angiography is depicted in the central region, extending from the upper left quadrant towards the lower right quadrant of the image;The coronary arteries vary in size, with the proximal sections being wider and tapering as they branch out;The coronary arteries exhibit a branching, tree-like structure with a natural curvature, with the main vessels being more pronounced and the smaller branches extending outwards;The background is uniformly dark with low contrast, highlighting the coronary arteries filled with contrast medium.", + "overview": "X-ray image showing a coronary angiography procedure with contrast;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is depicted in the central region, extending from the upper left quadrant towards the lower right quadrant of the image;", + "size": "The coronary arteries vary in size, with the proximal sections being wider and tapering as they branch out;", + "trend_shape": "The coronary arteries exhibit a branching, tree-like structure with a natural curvature, with the main vessels being more pronounced and the smaller branches extending outwards;", + "background": "The background is uniformly dark with low contrast, highlighting the coronary arteries filled with contrast medium." + }, + { + "image": "DCA1\\test\\images\\34img.png", + "caption": "Monochromatic X-ray image of coronary arteries;DCA1 dataset;Central to the image, predominantly on the left side;Variable diameter, main artery approximately 2-4 mm;Tortuous and branching pattern with smooth contours;Homogeneous, translucent background with gradations of grey.", + "overview": "Monochromatic X-ray image of coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Central to the image, predominantly on the left side;", + "size": "Variable diameter, main artery approximately 2-4 mm;", + "trend_shape": "Tortuous and branching pattern with smooth contours;", + "background": "Homogeneous, translucent background with gradations of grey." + }, + { + "image": "DCA1\\test\\images\\36img.png", + "caption": "X-ray coronary angiography image showcasing the arterial structures;DCA1 dataset;Coronary angiography located centrally with multiple branching vessels visible;Vessel size varies, with some segments appearing narrower, indicative of potential stenosis or anatomical variations;The angiography shows a tortuous arterial course with a mix of straight and curved segments, and branching vessels with tapering calibers;The background is uniformly radiopaque with subtle shadows.", + "overview": "X-ray coronary angiography image showcasing the arterial structures;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography located centrally with multiple branching vessels visible;", + "size": "Vessel size varies, with some segments appearing narrower, indicative of potential stenosis or anatomical variations;", + "trend_shape": "The angiography shows a tortuous arterial course with a mix of straight and curved segments, and branching vessels with tapering calibers;", + "background": "The background is uniformly radiopaque with subtle shadows." + }, + { + "image": "DCA1\\test\\images\\38img.png", + "caption": "X-ray image displaying contrast-filled coronary arteries;DCA1 dataset;Coronary angiography prominently visible in the central to left region of the image;Angiography shows branching structures of various calibers, some vessels measuring less than 2mm in diameter;The coronary vessels exhibit a complex, tortuous course with both curvilinear and branching segments, indicative of the native coronary arterial system;Uniform greyscale background with minimal extraneous detail.", + "overview": "X-ray image displaying contrast-filled coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography prominently visible in the central to left region of the image;", + "size": "Angiography shows branching structures of various calibers, some vessels measuring less than 2mm in diameter;", + "trend_shape": "The coronary vessels exhibit a complex, tortuous course with both curvilinear and branching segments, indicative of the native coronary arterial system;", + "background": "Uniform greyscale background with minimal extraneous detail." + }, + { + "image": "DCA1\\test\\images\\40img.png", + "caption": "X-ray image of a coronary artery revealed through angiography;DCA1 dataset;The coronary angiography is visible as a network of arterial structures in the upper central portion of the image;The visible artery has several millimeters in diameter, consistent with standard coronary artery size;The arterial pattern displays a branching structure with smooth, curved trajectories and no visible blockages;The background is homogeneously dark, enhancing the contrast of the angiography.", + "overview": "X-ray image of a coronary artery revealed through angiography;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is visible as a network of arterial structures in the upper central portion of the image;", + "size": "The visible artery has several millimeters in diameter, consistent with standard coronary artery size;", + "trend_shape": "The arterial pattern displays a branching structure with smooth, curved trajectories and no visible blockages;", + "background": "The background is homogeneously dark, enhancing the contrast of the angiography." + }, + { + "image": "DCA1\\test\\images\\42img.png", + "caption": "Monochromatic X-ray image displaying the coronary arteries of a heart during an angiography procedure;DCA1 dataset;The coronary angiography is centrally located, occupying the majority of the image;The coronary angiography branches vary in size from 1-4 millimeters in diameter;The angiography shows a branching pattern with the left coronary artery dividing into the left anterior descending artery and the circumflex artery, with multiple smaller branches and side branches visible, demonstrating a complex arborization;The background is uniform and dark, providing contrast to the highlighted coronary arteries.", + "overview": "Monochromatic X-ray image displaying the coronary arteries of a heart during an angiography procedure;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is centrally located, occupying the majority of the image;", + "size": "The coronary angiography branches vary in size from 1-4 millimeters in diameter;", + "trend_shape": "The angiography shows a branching pattern with the left coronary artery dividing into the left anterior descending artery and the circumflex artery, with multiple smaller branches and side branches visible, demonstrating a complex arborization;", + "background": "The background is uniform and dark, providing contrast to the highlighted coronary arteries." + }, + { + "image": "DCA1\\test\\images\\46img.png", + "caption": "Monochrome X-ray coronary angiography image highlighting cardiovascular structures;DCA1 dataset;Coronary angiography located centrally in the image, displaying major cardiac vessels;Varies in size, with main vessels appearing larger and branching vessels tapering off;Tapering and winding vessels with some areas showing smooth curves and others displaying more complex branching patterns;Uniform dark background with no discernible features.", + "overview": "Monochrome X-ray coronary angiography image highlighting cardiovascular structures;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography located centrally in the image, displaying major cardiac vessels;", + "size": "Varies in size, with main vessels appearing larger and branching vessels tapering off;", + "trend_shape": "Tapering and winding vessels with some areas showing smooth curves and others displaying more complex branching patterns;", + "background": "Uniform dark background with no discernible features." + }, + { + "image": "DCA1\\test\\images\\48img.png", + "caption": "Monochromatic X-ray image of cardiac vasculature;DCA1 dataset;Central region, branching predominantly leftward from a central trunk structure;Vessel diameter varies from 1 to 4mm approximately, with branches tapering in size from proximal to distal;Vessels exhibit sinuous contours, with both smooth curvilinear paths and bifurcating branches; angiographic contrast media visible within the lumens delineates vascular pathways;Uniform, featureless grey background.", + "overview": "Monochromatic X-ray image of cardiac vasculature;", + "dataset": "DCA1 dataset;", + "location": "Central region, branching predominantly leftward from a central trunk structure;", + "size": "Vessel diameter varies from 1 to 4mm approximately, with branches tapering in size from proximal to distal;", + "trend_shape": "Vessels exhibit sinuous contours, with both smooth curvilinear paths and bifurcating branches; angiographic contrast media visible within the lumens delineates vascular pathways;", + "background": "Uniform, featureless grey background." + }, + { + "image": "DCA1\\test\\images\\4img.png", + "caption": "Monochromatic X-ray image showing a detailed view of coronary arteries;DCA1 dataset;The coronary angiography is centrally located with prominent visibility in the middle of the image;The coronary angiography displays vessels of varying size, with some segments appearing dilated and others more narrow;The coronary vessels exhibit a serpentine trend with smooth curves along the branching pattern; a mix of stenotic and normal segments can be observed, indicating areas of potential constriction or blockage;The background is uniform and nondescript, providing contrast that highlights the vessels.", + "overview": "Monochromatic X-ray image showing a detailed view of coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is centrally located with prominent visibility in the middle of the image;", + "size": "The coronary angiography displays vessels of varying size, with some segments appearing dilated and others more narrow;", + "trend_shape": "The coronary vessels exhibit a serpentine trend with smooth curves along the branching pattern; a mix of stenotic and normal segments can be observed, indicating areas of potential constriction or blockage;", + "background": "The background is uniform and nondescript, providing contrast that highlights the vessels." + }, + { + "image": "DCA1\\test\\images\\50img.png", + "caption": "X-ray image displaying a high-contrast view of coronary arteries;DCA1 dataset;Coronary angiography is centrally located, running vertically in the image;The size of the coronary angiography appears to vary, with some segments appearing dilated while others are more narrow, indicating potential stenosis or vessel branching;The trend of the coronary angiography is tortuous with multiple curves, and the shape demonstrates both linear and branching patterns suggesting a complex vascular network;Homogeneous, slightly mottled background consistent with soft tissue and X-ray imaging parameters.", + "overview": "X-ray image displaying a high-contrast view of coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located, running vertically in the image;", + "size": "The size of the coronary angiography appears to vary, with some segments appearing dilated while others are more narrow, indicating potential stenosis or vessel branching;", + "trend_shape": "The trend of the coronary angiography is tortuous with multiple curves, and the shape demonstrates both linear and branching patterns suggesting a complex vascular network;", + "background": "Homogeneous, slightly mottled background consistent with soft tissue and X-ray imaging parameters." + }, + { + "image": "DCA1\\test\\images\\52img.png", + "caption": "X-ray image showing contrast-filled coronary arteries;DCA1 dataset;Coronary angiography is centralized in the image, depicting the left coronary artery system;The coronary angiography outlines vary in size, with some segments appearing narrowed, suggestive of potential stenosis;The arteries demonstrate a curvilinear trend with tortuosity in some segments and a smooth, consistent shape in others;Homogeneous grey background consistent with the radiographic imaging field.", + "overview": "X-ray image showing contrast-filled coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centralized in the image, depicting the left coronary artery system;", + "size": "The coronary angiography outlines vary in size, with some segments appearing narrowed, suggestive of potential stenosis;", + "trend_shape": "The arteries demonstrate a curvilinear trend with tortuosity in some segments and a smooth, consistent shape in others;", + "background": "Homogeneous grey background consistent with the radiographic imaging field." + }, + { + "image": "DCA1\\test\\images\\54img.png", + "caption": "Monochromatic X-ray image featuring contrast-filled coronary arteries;DCA1 dataset;Coronary angiography is centrally placed within the image, showcasing a frontal view of the heart's vasculature;The coronary angiography depicts arteries with varying calibers, ranging from fine to moderately wide relative to the size of the heart structure depicted;The arteries exhibit a smooth, serpentine course with some branching evident; the overall trend of the vessels is undulating, with a mix of straight segments and curvilinear stretches;The background is uniformly dark with no distinctive features, providing a high-contrast backdrop for the coronary angiography.", + "overview": "Monochromatic X-ray image featuring contrast-filled coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally placed within the image, showcasing a frontal view of the heart's vasculature;", + "size": "The coronary angiography depicts arteries with varying calibers, ranging from fine to moderately wide relative to the size of the heart structure depicted;", + "trend_shape": "The arteries exhibit a smooth, serpentine course with some branching evident; the overall trend of the vessels is undulating, with a mix of straight segments and curvilinear stretches;", + "background": "The background is uniformly dark with no distinctive features, providing a high-contrast backdrop for the coronary angiography." + }, + { + "image": "DCA1\\test\\images\\56img.png", + "caption": "X-ray image of a coronary angiography showing contrast-filled coronary arteries;DCA1 dataset;Coronary angiography is centrally located in the image showcasing the heart's vascular network;The coronary angiography spans a variable size with arteries ranging from broad proximal segments to finer distal branches;Trend shows a main coronary artery bifurcating into smaller branches with a winding and curvy shape indicating the natural course of coronary vasculature;Background is uniform and dark, contrasting the highlighted vasculature.", + "overview": "X-ray image of a coronary angiography showing contrast-filled coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located in the image showcasing the heart's vascular network;", + "size": "The coronary angiography spans a variable size with arteries ranging from broad proximal segments to finer distal branches;", + "trend_shape": "Trend shows a main coronary artery bifurcating into smaller branches with a winding and curvy shape indicating the natural course of coronary vasculature;", + "background": "Background is uniform and dark, contrasting the highlighted vasculature." + }, + { + "image": "DCA1\\test\\images\\58img.png", + "caption": "High-contrast X-ray image of a coronary angiogram showing detailed vascular structures;DCA1 dataset;Coronary angiography is centrally located, displaying the primary arteries branching from the aorta into the heart;The angiography shows vessels of varying size with the main coronary artery being the largest and smaller branching vessels of decreasing diameter;The angiography demonstrates a curvilinear trend with smooth, flowing lines and no abrupt interruptions indicating the natural course of the coronary arteries;Homogeneous, dark background with minimal noise or artifacts.", + "overview": "High-contrast X-ray image of a coronary angiogram showing detailed vascular structures;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located, displaying the primary arteries branching from the aorta into the heart;", + "size": "The angiography shows vessels of varying size with the main coronary artery being the largest and smaller branching vessels of decreasing diameter;", + "trend_shape": "The angiography demonstrates a curvilinear trend with smooth, flowing lines and no abrupt interruptions indicating the natural course of the coronary arteries;", + "background": "Homogeneous, dark background with minimal noise or artifacts." + }, + { + "image": "DCA1\\test\\images\\60img.png", + "caption": "Monochromatic X-ray image depicting the vascular structure of the heart;DCA1 dataset;Coronary angiography is centrally located, displaying cardiac vessels predominantly on the left side of the image;The coronary angiography features vessels of various calibers, with the main artery visible as a thicker, prominent structure and smaller branching vessels;The main coronary artery follows a curved, sinuous path, with smaller branches extending, suggesting a normal coronary arterial tree without obvious lesions or irregularities;Homogenous, gray background with gradient shades due to X-ray imaging.", + "overview": "Monochromatic X-ray image depicting the vascular structure of the heart;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located, displaying cardiac vessels predominantly on the left side of the image;", + "size": "The coronary angiography features vessels of various calibers, with the main artery visible as a thicker, prominent structure and smaller branching vessels;", + "trend_shape": "The main coronary artery follows a curved, sinuous path, with smaller branches extending, suggesting a normal coronary arterial tree without obvious lesions or irregularities;", + "background": "Homogenous, gray background with gradient shades due to X-ray imaging." + }, + { + "image": "DCA1\\test\\images\\62img.png", + "caption": "Monochrome X-ray image displaying cardiovascular structures;DCA1 dataset;Coronary angiography centered, occupying the middle third of the image, vertically oriented;Vessel diameter ranging from 1-4 mm with variable vessel lengths;Arterial branches show sinuous course and tapering, with some segments appearing tortuous and others with smooth curvatures;Homogeneous grayscale background with no distinct features.", + "overview": "Monochrome X-ray image displaying cardiovascular structures;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography centered, occupying the middle third of the image, vertically oriented;", + "size": "Vessel diameter ranging from 1-4 mm with variable vessel lengths;", + "trend_shape": "Arterial branches show sinuous course and tapering, with some segments appearing tortuous and others with smooth curvatures;", + "background": "Homogeneous grayscale background with no distinct features." + }, + { + "image": "DCA1\\test\\images\\64img.png", + "caption": "Monochromatic X-ray image displaying the cardiovascular system with high contrast between the vessels and surrounding tissues;DCA1 dataset;The coronary angiography is centrally located within the image, predominantly occupying the middle third vertically and horizontally;The size of the coronary angiography is large, with the major vessels clearly visible and spanning across a significant portion of the image field;The trend of the coronary angiography shows a tortuous path with multiple bends and branches, starting broad at the base and tapering towards the periphery, illustrating normal variations in vessel diameter and curvature;The background is uniform and low contrast, enhancing the visibility of the angiography.", + "overview": "Monochromatic X-ray image displaying the cardiovascular system with high contrast between the vessels and surrounding tissues;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is centrally located within the image, predominantly occupying the middle third vertically and horizontally;", + "size": "The size of the coronary angiography is large, with the major vessels clearly visible and spanning across a significant portion of the image field;", + "trend_shape": "The trend of the coronary angiography shows a tortuous path with multiple bends and branches, starting broad at the base and tapering towards the periphery, illustrating normal variations in vessel diameter and curvature;", + "background": "The background is uniform and low contrast, enhancing the visibility of the angiography." + }, + { + "image": "DCA1\\test\\images\\68img.png", + "caption": "Monochromatic X-ray image showing cardiovascular structure.DCA1 dataset.Coronary angiography visible centrally, predominantly in the upper right quarter of the image.The coronary angiography is of variable size; main arteries are prominent, whereas smaller branches taper progressively.The coronary arteries display a sinuous trend; the larger arteries have smoother shapes, and smaller branches exhibit complex, curvilinear patterns.Homogeneous, low-density background with no discernible features.", + "overview": "Monochromatic X-ray image showing cardiovascular structure.", + "dataset": "DCA1 dataset.", + "location": "Coronary angiography visible centrally, predominantly in the upper right quarter of the image.", + "size": "The coronary angiography is of variable size; main arteries are prominent, whereas smaller branches taper progressively.", + "trend_shape": "The coronary arteries display a sinuous trend; the larger arteries have smoother shapes, and smaller branches exhibit complex, curvilinear patterns.", + "background": "Homogeneous, low-density background with no discernible features." + }, + { + "image": "DCA1\\test\\images\\6img.png", + "caption": "Black-and-white image showing the arterial structure of a heart during an angiography procedure;DCA1 dataset;The coronary angiography is centrally located within the image, displaying the left coronary artery system;The angiography shows vessels of varying sizes, from large main branches to smaller tributaries;The angiography trends from the upper left to the lower right, with the left coronary artery bifurcating into the left anterior descending (LAD) and the left circumflex (LCX) branches, characterized by a smooth, sinuous shape with some branching vessels extending peripherally;X-ray dense background with soft tissue shadows.", + "overview": "Black-and-white image showing the arterial structure of a heart during an angiography procedure;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography is centrally located within the image, displaying the left coronary artery system;", + "size": "The angiography shows vessels of varying sizes, from large main branches to smaller tributaries;", + "trend_shape": "The angiography trends from the upper left to the lower right, with the left coronary artery bifurcating into the left anterior descending (LAD) and the left circumflex (LCX) branches, characterized by a smooth, sinuous shape with some branching vessels extending peripherally;", + "background": "X-ray dense background with soft tissue shadows." + }, + { + "image": "DCA1\\test\\images\\70img.png", + "caption": "X-ray coronary angiography image displaying contrast-filled coronary arteries superimposed on a patient's chest.DCA1 dataset.Coronary angiography is centrally located, with the left coronary artery system in view.Variable sizes ranging from main coronary arteries that are several millimeters in diameter to smaller branches.The left coronary artery divides into the left anterior descending (LAD) and the left circumflex (LCX), with the LAD traveling downwards with a slight curvature and the LCX extending laterally; multiple branching vessels with tortuous and irregular courses are visible.The background is homogenously radiolucent, enhancing the visibility of the coronary vessels.", + "overview": "X-ray coronary angiography image displaying contrast-filled coronary arteries superimposed on a patient's chest.", + "dataset": "DCA1 dataset.", + "location": "Coronary angiography is centrally located, with the left coronary artery system in view.", + "size": "Variable sizes ranging from main coronary arteries that are several millimeters in diameter to smaller branches.", + "trend_shape": "The left coronary artery divides into the left anterior descending (LAD) and the left circumflex (LCX), with the LAD traveling downwards with a slight curvature and the LCX extending laterally; multiple branching vessels with tortuous and irregular courses are visible.", + "background": "The background is homogenously radiolucent, enhancing the visibility of the coronary vessels." + }, + { + "image": "DCA1\\test\\images\\72img.png", + "caption": "Monochromatic X-ray image depicting contrast-filled coronary arteries;DCA1 dataset;Central to the image, primarily in the middle third vertically and horizontally;Variable diameter, ranging from 2-4 mm with some branches tapering as they extend;The arteries display a tortuous course with smooth curved segments and bifurcations, some segments appear more linear;Homogeneous grey background with soft tissue shadows.", + "overview": "Monochromatic X-ray image depicting contrast-filled coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Central to the image, primarily in the middle third vertically and horizontally;", + "size": "Variable diameter, ranging from 2-4 mm with some branches tapering as they extend;", + "trend_shape": "The arteries display a tortuous course with smooth curved segments and bifurcations, some segments appear more linear;", + "background": "Homogeneous grey background with soft tissue shadows." + }, + { + "image": "DCA1\\test\\images\\76img.png", + "caption": "Monochromatic X-ray image displaying contrast-enhanced coronary arteries;DCA1 dataset;Coronary angiography is centrally located, with the main focus on the left aspect of the image;Varies from 1 to 4 mm in diameter, with tapering of the vessels distally;The coronary arteries exhibit a branching pattern with smooth curvature, without significant irregularities or anomalies visible;Uniform grayscale background with minimal noise or artifacts.", + "overview": "Monochromatic X-ray image displaying contrast-enhanced coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located, with the main focus on the left aspect of the image;", + "size": "Varies from 1 to 4 mm in diameter, with tapering of the vessels distally;", + "trend_shape": "The coronary arteries exhibit a branching pattern with smooth curvature, without significant irregularities or anomalies visible;", + "background": "Uniform grayscale background with minimal noise or artifacts." + }, + { + "image": "DCA1\\test\\images\\74img.png", + "caption": "The image displays a grayscale angiographic view of coronary arteries. DCA1 dataset. The coronary angiography is centered, occupying the majority of the image. The size of the coronary angiography is relative to the image, extending across the central region with multiple branches visible. The coronary angiography shows a tortuous course with both curvilinear and angular segments; some vessels are well-opacified indicating good contrast flow, while others appear more faint. The background is uniform and dark, providing contrast to the highlighted vasculature.", + "overview": "The image displays a grayscale angiographic view of coronary arteries.", + "dataset": "DCA1 dataset.", + "location": "The coronary angiography is centered, occupying the majority of the image.", + "size": "The size of the coronary angiography is relative to the image, extending across the central region with multiple branches visible.", + "trend_shape": "The coronary angiography shows a tortuous course with both curvilinear and angular segments; some vessels are well-opacified indicating good contrast flow, while others appear more faint.", + "background": "The background is uniform and dark, providing contrast to the highlighted vasculature." + }, + { + "image": "DCA1\\test\\images\\8img.png", + "caption": "X-ray image of a coronary angiography depicting the vascular structure of the heart;DCA1 dataset;Coronary angiography is centrally located, displaying the left coronary artery system;The coronary angiography shows vessels of varying sizes, with the main artery larger in diameter leading to progressively smaller branches;The trend is a branching pattern originating from the left coronary artery, with the shape of the vessels showing a smooth curvature with no visible signs of blockage or narrowing;The background is uniform and dark, enhancing the contrast of the vessels.", + "overview": "X-ray image of a coronary angiography depicting the vascular structure of the heart;", + "dataset": "DCA1 dataset;", + "location": "Coronary angiography is centrally located, displaying the left coronary artery system;", + "size": "The coronary angiography shows vessels of varying sizes, with the main artery larger in diameter leading to progressively smaller branches;", + "trend_shape": "The trend is a branching pattern originating from the left coronary artery, with the shape of the vessels showing a smooth curvature with no visible signs of blockage or narrowing;", + "background": "The background is uniform and dark, enhancing the contrast of the vessels." + }, + { + "image": "DCA1\\test\\annotations\\10gt.png", + "caption": "Ground truth semantic map of an X-ray coronary angiography;DCA1 dataset;The semantic map is centrally located within the image against a solid black background;The semantic map extends almost the full height of the image, with variable width along its course;The trend of the semantic map follows a complex, branching pattern typical of coronary arteries, with a main vertical trunk and multiple curved branches diverging at various angles.", + "overview": "Ground truth semantic map of an X-ray coronary angiography;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centrally located within the image against a solid black background;", + "size": "The semantic map extends almost the full height of the image, with variable width along its course;", + "trend_shape": "The trend of the semantic map follows a complex, branching pattern typical of coronary arteries, with a main vertical trunk and multiple curved branches diverging at various angles." + }, + { + "image": "DCA1\\test\\annotations\\16gt.png", + "caption": "This image presents a semantic map or groundtruth (GT) representation, indicating a simplified outline. The dataset is referred to as DCA1. The semantic map is centrally located within the image boundaries. The semantic map is medium-sized relative to the image frame. The trend of the semantic map is primarily vertical, with a curvilinear shape that includes branching patterns indicative of coronary arteries in an X-ray angiography interpretation.", + "overview": "This image presents a semantic map or groundtruth (GT) representation, indicating a simplified outline.", + "dataset": "The dataset is referred to as DCA1.", + "location": "The semantic map is centrally located within the image boundaries.", + "size": "The semantic map is medium-sized relative to the image frame.", + "trend_shape": "The trend of the semantic map is primarily vertical, with a curvilinear shape that includes branching patterns indicative of coronary arteries in an X-ray angiography interpretation." + }, + { + "image": "DCA1\\test\\annotations\\18gt.png", + "caption": "Semantic map (GT) of an X-ray coronary angiography image, delineating vascular structures;DCA1 dataset;The semantic map occupies the central region of the image, with vascular structures extending towards the periphery;The vascular structures vary in thickness and length, the longest measuring approximately two-thirds of the image height and the thickest being around one-twentieth of the image width;Trends show branching patterns and curves commonly associated with coronary arteries, with bifurcations and varying vessel calibers.", + "overview": "Semantic map (GT) of an X-ray coronary angiography image, delineating vascular structures;", + "dataset": "DCA1 dataset;", + "location": "The semantic map occupies the central region of the image, with vascular structures extending towards the periphery;", + "size": "The vascular structures vary in thickness and length, the longest measuring approximately two-thirds of the image height and the thickest being around one-twentieth of the image width;", + "trend_shape": "Trends show branching patterns and curves commonly associated with coronary arteries, with bifurcations and varying vessel calibers." + }, + { + "image": "DCA1\\test\\annotations\\20gt.png", + "caption": "This image represents a semantic map or groundtruth (GT) of a coronary artery structure from an X-ray coronary angiography;The map is part of the DCA1 dataset;The semantic map is centrally located within the image, taking up the majority of the image space;The map's size proportionally fills the image, extending almost from the top edge to the bottom edge, and from the left to right margins with varying thickness throughout;The trend of the semantic map shows a main vertical artery with several branching vessels, presenting a realistic representation of coronary arteries with the main trunk situated centrally, extending branches that curve and taper as they extend outwards, with smooth transitions and bifurcations consistent with the human vascular system.", + "overview": "This image represents a semantic map or groundtruth (GT) of a coronary artery structure from an X-ray coronary angiography;", + "dataset": "The map is part of the DCA1 dataset;", + "location": "The semantic map is centrally located within the image, taking up the majority of the image space;", + "size": "The map's size proportionally fills the image, extending almost from the top edge to the bottom edge, and from the left to right margins with varying thickness throughout;", + "trend_shape": "The trend of the semantic map shows a main vertical artery with several branching vessels, presenting a realistic representation of coronary arteries with the main trunk situated centrally, extending branches that curve and taper as they extend outwards, with smooth transitions and bifurcations consistent with the human vascular system." + }, + { + "image": "DCA1\\test\\annotations\\28gt.png", + "caption": "Semantic map of X-ray coronary angiography, representing the ground truth (GT);DCA1 dataset;The semantic map is centrally located within the image, with clear separation from the edges;The size of the semantic map is moderate relative to the image, covering a significant portion but not the entirety;The trend of the semantic map is complex with multiple branching patterns, depicting the coronary arterial tree including the main branches and finer arterial structures, with the overall shape resembling the typical anatomy of coronary arteries.", + "overview": "Semantic map of X-ray coronary angiography, representing the ground truth (GT);", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centrally located within the image, with clear separation from the edges;", + "size": "The size of the semantic map is moderate relative to the image, covering a significant portion but not the entirety;", + "trend_shape": "The trend of the semantic map is complex with multiple branching patterns, depicting the coronary arterial tree including the main branches and finer arterial structures, with the overall shape resembling the typical anatomy of coronary arteries." + }, + { + "image": "DCA1\\test\\annotations\\30gt.png", + "caption": "Black and white semantic map (GT) of a coronary artery tree from an X-ray coronary angiography;DCA1 dataset;The semantic map is centrally located within the image boundaries;The map covers a majority of the image area, with the longest vessel extending almost the entire height of the image;The vessels depicted in the semantic map have a branching, tree-like structure with varying widths, showing both major coronary arteries and finer branches, with curvilinear and sinuous shapes.", + "overview": "Black and white semantic map (GT) of a coronary artery tree from an X-ray coronary angiography;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centrally located within the image boundaries;", + "size": "The map covers a majority of the image area, with the longest vessel extending almost the entire height of the image;", + "trend_shape": "The vessels depicted in the semantic map have a branching, tree-like structure with varying widths, showing both major coronary arteries and finer branches, with curvilinear and sinuous shapes." + }, + { + "image": "DCA1\\test\\annotations\\32gt.png", + "caption": "Semantic map (GT) of X-ray coronary angiography;DCA1 dataset;Central region of the image, predominantly occupying the upper half;Varied vascular width, largest dimension approximately one-third of the image width;Branching arterial structure with tapering vessels, following a nonlinear, curvilinear trajectory.", + "overview": "Semantic map (GT) of X-ray coronary angiography;", + "dataset": "DCA1 dataset;", + "location": "Central region of the image, predominantly occupying the upper half;", + "size": "Varied vascular width, largest dimension approximately one-third of the image width;", + "trend_shape": "Branching arterial structure with tapering vessels, following a nonlinear, curvilinear trajectory." + }, + { + "image": "DCA1\\test\\annotations\\36gt.png", + "caption": "Semantic map of an X-ray coronary angiography, representing ground truth (GT);From the DCA1 dataset;The semantic map is centrally located within the image, occupying a majority of the central visual field, slightly skewed to the upper right quadrant;The map is of variable size, with lines ranging from thin to moderately thick, indicating different vessel calibers;The trend of the map is complex, with several branching patterns and curvilinear shapes, mimicking coronary arterial tree anatomy; vessels extend in various directions with some forming acute angles, typical of coronary vessel bifurcations.", + "overview": "Semantic map of an X-ray coronary angiography, representing ground truth (GT);", + "dataset": "From the DCA1 dataset;", + "location": "The semantic map is centrally located within the image, occupying a majority of the central visual field, slightly skewed to the upper right quadrant;", + "size": "The map is of variable size, with lines ranging from thin to moderately thick, indicating different vessel calibers;", + "trend_shape": "The trend of the map is complex, with several branching patterns and curvilinear shapes, mimicking coronary arterial tree anatomy; vessels extend in various directions with some forming acute angles, typical of coronary vessel bifurcations." + }, + { + "image": "DCA1\\test\\annotations\\46gt.png", + "caption": "Semantic map of an X-ray coronary angiography, denoted as the ground truth (GT);From the DCA1 dataset;The semantic map is centrally located in the image, occupying the majority of the image space;The semantic map is of moderate size, with sufficient resolution to distinguish fine vessel details;The trend of the semantic map reveals branching vascular structures and the shape details indicate varying vessel diameters with smooth, curved contours.", + "overview": "Semantic map of an X-ray coronary angiography, denoted as the ground truth (GT);", + "dataset": "From the DCA1 dataset;", + "location": "The semantic map is centrally located in the image, occupying the majority of the image space;", + "size": "The semantic map is of moderate size, with sufficient resolution to distinguish fine vessel details;", + "trend_shape": "The trend of the semantic map reveals branching vascular structures and the shape details indicate varying vessel diameters with smooth, curved contours." + }, + { + "image": "DCA1\\test\\annotations\\48gt.png", + "caption": "Semantic map (GT) of an X-ray coronary angiography image;DCA1 dataset;The semantic map is centered, occupying most of the image with some margin around the edges;Full-scale size matching the underlying angiography image dimensions;The trend is complex branching structures radiating and dividing from a central trunk, with fine tube-like shapes representing coronary arteries, varying in width and curvilinear in form.", + "overview": "Semantic map (GT) of an X-ray coronary angiography image;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centered, occupying most of the image with some margin around the edges;", + "size": "Full-scale size matching the underlying angiography image dimensions;", + "trend_shape": "The trend is complex branching structures radiating and dividing from a central trunk, with fine tube-like shapes representing coronary arteries, varying in width and curvilinear in form." + }, + { + "image": "DCA1\\test\\annotations\\50gt.png", + "caption": "High-contrast image depicting the semantic map (GT) of an X-ray coronary angiography;DCA1 dataset;The semantic map is centralized within the image boundaries, with the majority of the structure located slightly towards the right half;The semantic map spans most of the image height and occupies a moderate portion of the width, following a vertical orientation;The semantic map consists of elongated, curvilinear structures that represent coronary arteries, with varying thickness suggesting different vessel sizes, showing bifurcations and a hierarchical branching pattern.", + "overview": "High-contrast image depicting the semantic map (GT) of an X-ray coronary angiography;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centralized within the image boundaries, with the majority of the structure located slightly towards the right half;", + "size": "The semantic map spans most of the image height and occupies a moderate portion of the width, following a vertical orientation;", + "trend_shape": "The semantic map consists of elongated, curvilinear structures that represent coronary arteries, with varying thickness suggesting different vessel sizes, showing bifurcations and a hierarchical branching pattern." + }, + { + "image": "DCA1\\test\\annotations\\54gt.png", + "caption": "Semantic map (GT) for X-ray coronary angiography displaying highlighted vascular structures;from DCA1 dataset;semantic map spans the entirety of the image, centralized and focusing on the primary vessel structures;image size is of standard resolution, with the semantic map maintaining clarity and high contrast;trends indicate arterial pathways with smooth curvature, exhibiting branching patterns typical of coronary vasculature, with narrow to moderate vessel widths leading from a central arterial trunk.", + "overview": "Semantic map (GT) for X-ray coronary angiography displaying highlighted vascular structures;", + "dataset": "from DCA1 dataset;", + "location": "semantic map spans the entirety of the image, centralized and focusing on the primary vessel structures;", + "size": "image size is of standard resolution, with the semantic map maintaining clarity and high contrast;", + "trend_shape": "trends indicate arterial pathways with smooth curvature, exhibiting branching patterns typical of coronary vasculature, with narrow to moderate vessel widths leading from a central arterial trunk." + }, + { + "image": "DCA1\\test\\annotations\\56gt.png", + "caption": "Ground truth semantic map of X-ray coronary angiography;DCA1 dataset;Semantic map centrally located, displaying major coronary arteries;Semantic map spans most of the image, varied line thickness approximating vessel diameter;Vessel representation tapers, bifurcates, and curves throughout, imitating natural coronary anatomy.", + "overview": "Ground truth semantic map of X-ray coronary angiography;", + "dataset": "DCA1 dataset;", + "location": "Semantic map centrally located, displaying major coronary arteries;", + "size": "Semantic map spans most of the image, varied line thickness approximating vessel diameter;", + "trend_shape": "Vessel representation tapers, bifurcates, and curves throughout, imitating natural coronary anatomy." + }, + { + "image": "DCA1\\test\\annotations\\58gt.png", + "caption": "This image represents a semantic map or groundtruth (GT) of a coronary artery structure from an X-ray coronary angiography; The map is part of the DCA1 dataset; The semantic map is centered and spans almost the entire image vertically; The semantic map covers the majority of the image area, extending from the top left corner towards the bottom right, with varying thickness throughout; The map showcases a complex vascular structure with primary branches extending in a curvilinear fashion, secondary bifurcations present, and some terminal segments tapering off, suggesting a representation of arterial branches and possibly areas of stenosis or occlusion.", + "overview": "This image represents a semantic map or groundtruth (GT) of a coronary artery structure from an X-ray coronary angiography;", + "dataset": "The map is part of the DCA1 dataset;", + "location": "The semantic map is centered and spans almost the entire image vertically;", + "size": "The semantic map covers the majority of the image area, extending from the top left corner towards the bottom right, with varying thickness throughout;", + "trend_shape": "The map showcases a complex vascular structure with primary branches extending in a curvilinear fashion, secondary bifurcations present, and some terminal segments tapering off, suggesting a representation of arterial branches and possibly areas of stenosis or occlusion." + }, + { + "image": "DCA1\\test\\annotations\\60gt.png", + "caption": "Semantic map (ground truth) of an X-ray coronary angiography;DCA1 dataset;Centrally located occupying both upper and lower halves of the image, slightly biased to the left side;Extensive, covering a large area of the image canvas;The semantic map displays an intricate branching pattern typical of coronary arteries with a mix of curving and linear segments, varying vessel thickness, and multiple bifurcations.", + "overview": "Semantic map (ground truth) of an X-ray coronary angiography;", + "dataset": "DCA1 dataset;", + "location": "Centrally located occupying both upper and lower halves of the image, slightly biased to the left side;", + "size": "Extensive, covering a large area of the image canvas;", + "trend_shape": "The semantic map displays an intricate branching pattern typical of coronary arteries with a mix of curving and linear segments, varying vessel thickness, and multiple bifurcations." + }, + { + "image": "DCA1\\test\\annotations\\62gt.png", + "caption": "Groundtruth semantic map of X-ray coronary angiography;DCA1 dataset;The semantic map is centrally located within the image boundaries;The semantic map is of moderate size, not extending to the image edges;The map showcases a branching pattern with linear and curved segments, resembling coronary artery structures.", + "overview": "Groundtruth semantic map of X-ray coronary angiography;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centrally located within the image boundaries;", + "size": "The semantic map is of moderate size, not extending to the image edges;", + "trend_shape": "The map showcases a branching pattern with linear and curved segments, resembling coronary artery structures." + }, + { + "image": "DCA1\\test\\annotations\\64gt.png", + "caption": "Ground Truth Semantic Map of coronary arteries derived from X-ray angiography;DCA1 dataset;Semantic map positioned centrally within the image frame;The semantic map covers the majority of the image area, extending from the top left corner towards the bottom right, with varying thickness throughout;The map showcases a complex vascular structure with primary branches extending in a curvilinear fashion, secondary bifurcations present, and some terminal segments tapering off, suggesting a representation of arterial branches and possibly areas of stenosis or occlusion.", + "overview": "Ground Truth Semantic Map of coronary arteries derived from X-ray angiography;", + "dataset": "DCA1 dataset;", + "location": "Semantic map positioned centrally within the image frame;", + "size": "The semantic map covers the majority of the image area, extending from the top left corner towards the bottom right, with varying thickness throughout;", + "trend_shape": "The map showcases a complex vascular structure with primary branches extending in a curvilinear fashion, secondary bifurcations present, and some terminal segments tapering off, suggesting a representation of arterial branches and possibly areas of stenosis or occlusion." + }, + { + "image": "DCA1\\test\\annotations\\68gt.png", + "caption": "Semantic map (ground truth) of an X-ray coronary angiography image;DCA1 dataset;Semantic map occupies the central region of the image, with clear boundaries establishing the foreground against the homogenous background;The semantic map extends vertically and slightly diagonally across the image, with varying line thickness that reflects different vessel diameters;The map depicts the coronary artery tree with a clear main trunk and several branching vessels, demonstrating both smooth curves and a few acute angles indicative of natural arterial pathways.", + "overview": "Semantic map (ground truth) of an X-ray coronary angiography image;", + "dataset": "DCA1 dataset;", + "location": "Semantic map occupies the central region of the image, with clear boundaries establishing the foreground against the homogenous background;", + "size": "The semantic map extends vertically and slightly diagonally across the image, with varying line thickness that reflects different vessel diameters;", + "trend_shape": "The map depicts the coronary artery tree with a clear main trunk and several branching vessels, demonstrating both smooth curves and a few acute angles indicative of natural arterial pathways." + }, + { + "image": "DCA1\\test\\annotations\\6gt.png", + "caption": "Detailed semantic map (GT) of a coronary artery network from an X-ray angiography;DCA1 dataset;The semantic map is centrally located, occupying the majority of the image space;The semantic map is of medium size relative to the image dimensions, with wide and narrow branching structures;The trend of the semantic map is a central linear path with multiple bifurcating branches extending outwards, characterizing a complex vascular pattern with curved and angled segments.", + "overview": "Detailed semantic map (GT) of a coronary artery network from an X-ray angiography;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centrally located, occupying the majority of the image space;", + "size": "The semantic map is of medium size relative to the image dimensions, with wide and narrow branching structures;", + "trend_shape": "The trend of the semantic map is a central linear path with multiple bifurcating branches extending outwards, characterizing a complex vascular pattern with curved and angled segments." + }, + { + "image": "DCA1\\test\\annotations\\70gt.png", + "caption": "Semantic map (GT) of an X-ray coronary angiography image;DCA1 dataset;Located centrally within the image boundaries, occupying a majority of the image area;Size is large, with map lines extending close to image edges;Trend of map lines is complex, resembling arterial branching, with both curving and bifurcating shapes.", + "overview": "Semantic map (GT) of an X-ray coronary angiography image;", + "dataset": "DCA1 dataset;", + "location": "Located centrally within the image boundaries, occupying a majority of the image area;", + "size": "Size is large, with map lines extending close to image edges;", + "trend_shape": "Trend of map lines is complex, resembling arterial branching, with both curving and bifurcating shapes." + }, + { + "image": "DCA1\\test\\annotations\\72gt.png", + "caption": "Semantic map (GT) of a coronary artery from an X-ray angiography;DCA1 dataset;The semantic map is centered and spans almost the entire image vertically;The map is elongated and thin, with varying thickness along its length;The trend is curvilinear with several bends, depicting the coronary artery's natural course with a bifurcation towards the top.", + "overview": "Semantic map (GT) of a coronary artery from an X-ray angiography;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centered and spans almost the entire image vertically;", + "size": "The map is elongated and thin, with varying thickness along its length;", + "trend_shape": "The trend is curvilinear with several bends, depicting the coronary artery's natural course with a bifurcation towards the top." + }, + { + "image": "DCA1\\test\\annotations\\76gt.png", + "caption": "This image represents a semantic map or ground truth (GT) outline of coronary arteries from an X-ray angiography. The dataset is named DCA1. The semantic map is centrally located within the image boundaries. The map spans almost the entire image, with a slight margin around the edges, indicating a large coverage. The semantic map features curvilinear structures with smooth, undulating contours that represent the coronary arteries; these structures branch out in various directions, displaying a complex network with varying widths and curvatures.", + "overview": "This image represents a semantic map or ground truth (GT) outline of coronary arteries from an X-ray angiography.", + "dataset": "The dataset is named DCA1.", + "location": "The semantic map is centrally located within the image boundaries.", + "size": "The map spans almost the entire image, with a slight margin around the edges, indicating a large coverage.", + "trend_shape": "The semantic map features curvilinear structures with smooth, undulating contours that represent the coronary arteries; these structures branch out in various directions, displaying a complex network with varying widths and curvatures." + }, + { + "image": "XCAD\\training\\images\\00158_49.png", + "caption": "This is a grayscale image displaying the detailed structure of blood vessels. XCAD dataset. The coronary angiography is predominantly located in the center and upper left quadrant of the image. The size of the coronary angiography appears to be consistent with normal human anatomical proportions, with the main vessel diameter being relatively small compared to the overall image size. The trend of the coronary angiography is serpentine, with multiple curvilinear paths diverging from a central arterial tree; the shape includes elongated curves with several bends and bifurcations, suggestive of arterial branches. The background is uniform and featureless, providing a contrasting backdrop that highlights the angiography.", + "overview": "This is a grayscale image displaying the detailed structure of blood vessels.", + "dataset": "XCAD dataset;", + "location": "The coronary angiography is predominantly located in the center and upper left quadrant of the image.", + "size": "The size of the coronary angiography appears to be consistent with normal human anatomical proportions, with the main vessel diameter being relatively small compared to the overall image size.", + "trend_shape": "The trend of the coronary angiography is serpentine, with multiple curvilinear paths diverging from a central arterial tree; the shape includes elongated curves with several bends and bifurcations, suggestive of arterial branches.", + "background": "The background is uniform and featureless, providing a contrasting backdrop that highlights the angiography." + }, + { + "image": "XCAD\\training\\images\\00214_29.png", + "caption": "The image is a monochromatic X-ray depicting intricate vascular structures. XCAD dataset. The coronary angiography is centralized, slightly biased towards the upper right quadrant of the image. The angiography shows a main coronary artery with significant length spanning across the image, with vessel diameters that are small and consistent with human coronary anatomy. The trend of the coronary angiography follows a complex, branching pattern, with the main vessel curving downwards before branching out; the shape is characterized by smooth, flowing lines with multiple bifurcations leading to thinner vessels, indicative of the coronary artery tree. The background is a uniform dark shade, enhancing the visibility of the angiography details.", + "overview": "The image is a monochromatic X-ray depicting intricate vascular structures.", + "dataset": "XCAD dataset;", + "location": "The coronary angiography is centralized, slightly biased towards the upper right quadrant of the image.", + "size": "The angiography shows a main coronary artery with significant length spanning across the image, with vessel diameters that are small and consistent with human coronary anatomy.", + "trend_shape": "The trend of the coronary angiography follows a complex, branching pattern, with the main vessel curving downwards before branching out; the shape is characterized by smooth, flowing lines with multiple bifurcations leading to thinner vessels, indicative of the coronary artery tree.", + "background": "The background is a uniform dark shade, enhancing the visibility of the angiography details." + }, + { + "image": "XCAD\\training\\images\\00897_52.png", + "caption": "This is a grayscale angiographic image showing contrast-filled vessels. XCAD dataset. Coronary angiography is visible in the central to the upper half of the image. The coronary angiography shows a main vessel with multiple branching vessels, proportionate to standard coronary artery dimensions. The trend of the coronary angiography is intricate, with a primary vessel that branches out in a complex arborization pattern; the shape features a winding primary artery with numerous secondary and tertiary branches, some of which are tortuous and curvilinear, terminating in fine capillary networks. Background is homogeneously dark, highlighting the vascular structures.", + "overview": "This is a grayscale angiographic image showing contrast-filled vessels.", + "dataset": "XCAD dataset;", + "location": "Coronary angiography is visible in the central to the upper half of the image.", + "size": "The coronary angiography shows a main vessel with multiple branching vessels, proportionate to standard coronary artery dimensions.", + "trend_shape": "The trend of the coronary angiography is intricate, with a primary vessel that branches out in a complex arborization pattern; the shape features a winding primary artery with numerous secondary and tertiary branches, some of which are tortuous and curvilinear, terminating in fine capillary networks.", + "background": "Background is homogeneously dark, highlighting the vascular structures." + }, + { + "image": "XCAD\\training\\images\\01251_32.png", + "caption": "Monochromatic X-ray image displaying the coronary arteries;XCAD dataset;Coronary angiography predominantly visible in the center, extending towards the upper right and lower regions of the image;The size of the coronary angiography features varied vessel diameters with major branches having significant width tapering to finer distal vessels;The trend shows a tortuous course with a dominantly sigmoidal main vessel, and the shape exhibits branching patterns with multiple smaller vessels diverging from the primary artery;The background is uniformly dark with soft tissue shadows and minimal artifacts.", + "overview": "Monochromatic X-ray image displaying the coronary arteries;", + "dataset": "XCAD dataset;", + "location": "Coronary angiography predominantly visible in the center, extending towards the upper right and lower regions of the image;", + "size": "The size of the coronary angiography features varied vessel diameters with major branches having significant width tapering to finer distal vessels;", + "trend_shape": "The trend shows a tortuous course with a dominantly sigmoidal main vessel, and the shape exhibits branching patterns with multiple smaller vessels diverging from the primary artery;", + "background": "The background is uniformly dark with soft tissue shadows and minimal artifacts." + }, + { + "image": "XCAD\\training\\images\\02429_20.png", + "caption": "The image shows a high-contrast angiogram with branching vascular structures. XCAD dataset. The coronary angiography is centrally located, extending towards the upper right section of the image. The coronary angiography displays a primary vessel of notable length and several smaller branching vessels, in proportion with typical human coronary arteries. The angiography presents a complex vascular network; the primary artery curves sharply before dividing, with branches showing varying degrees of curvature and forming a detailed tree-like structure with fine, thread-like offshoots. The background is consistently dark, providing contrast to the vascular details.", + "overview": "The image shows a high-contrast angiogram with branching vascular structures.", + "dataset": "XCAD dataset;", + "location": "The coronary angiography is centrally located, extending towards the upper right section of the image.", + "size": "The coronary angiography displays a primary vessel of notable length and several smaller branching vessels, in proportion with typical human coronary arteries.", + "trend_shape": "The angiography presents a complex vascular network; the primary artery curves sharply before dividing, with branches showing varying degrees of curvature and forming a detailed tree-like structure with fine, thread-like offshoots.", + "background": "The background is consistently dark, providing contrast to the vascular details." + }, + { + "image": "XCAD\\training\\images\\03268_26.png", + "caption": "Monochromatic X-ray image displaying detailed cardiovascular structures;XCAD dataset;The coronary angiography is centered in the image, predominantly visible in the upper half;The coronary arteries visible in the angiography range from very fine to medium in caliber, with a dynamic range in vessel size from approximately 1 to 4 mm;The arteries illustrate a complex and tortuous branching pattern with both curvilinear and bifurcating segments; there appears to be a normal flow of contrast without visible obstructions, suggesting patent coronary arteries;The background shows faint outlines of the chest cavity with skeletal structures.", + "overview": "Monochromatic X-ray image displaying detailed cardiovascular structures;", + "dataset": "XCAD dataset;", + "location": "The coronary angiography is centered in the image, predominantly visible in the upper half;", + "size": "The coronary arteries visible in the angiography range from very fine to medium in caliber, with a dynamic range in vessel size from approximately 1 to 4 mm;", + "trend_shape": "The arteries illustrate a complex and tortuous branching pattern with both curvilinear and bifurcating segments; there appears to be a normal flow of contrast without visible obstructions, suggesting patent coronary arteries;", + "background": "The background shows faint outlines of the chest cavity with skeletal structures." + }, + { + "image": "XCAD\\training\\images\\05698_52.png", + "caption": "Monochrome X-ray image displaying the arterial structure of a heart;XCAD dataset;The coronary angiography is central and predominant in the image;The coronary angiography displays vessels of varying sizes, with the main artery being larger and branches progressively tapering;The arteries shown have a complex, curved pattern extending in various directions with some bifurcations and tapering branches, indicative of a coronary arterial tree;The image background is uniformly dark with subtle shades of gray representing surrounding tissues and cardiac silhouette.", + "overview": "Monochrome X-ray image displaying the arterial structure of a heart;", + "dataset": "XCAD dataset;", + "location": "The coronary angiography is central and predominant in the image;", + "size": "The coronary angiography displays vessels of varying sizes, with the main artery being larger and branches progressively tapering;", + "trend_shape": "The arteries shown have a complex, curved pattern extending in various directions with some bifurcations and tapering branches, indicative of a coronary arterial tree;", + "background": "The image background is uniformly dark with subtle shades of gray representing surrounding tissues and cardiac silhouette." + }, + { + "image": "XCAD\\training\\images\\09404_24.png", + "caption": "Monochromatic X-ray image showing the contrast-enhanced coronary arteries of a human heart;XCAD dataset;The angiography is centrally positioned, occupying mainly the middle third of the image with a horizontal orientation;The coronary angiography branches vary in size; the main arteries are several millimeters in width, reducing to less than a millimeter in the smaller branches;The angiography reveals a complex network with curvilinear and branching structures which taper distally; the shape suggests a right coronary artery with its branches, including the posterior descending artery and marginal branches;Background is homogenous and dark, providing contrast to the highlighted vessels.", + "overview": "Monochromatic X-ray image showing the contrast-enhanced coronary arteries of a human heart;", + "dataset": "XCAD dataset;", + "location": "The angiography is centrally positioned, occupying mainly the middle third of the image with a horizontal orientation;", + "size": "The coronary angiography branches vary in size; the main arteries are several millimeters in width, reducing to less than a millimeter in the smaller branches;", + "trend_shape": "The angiography reveals a complex network with curvilinear and branching structures which taper distally; the shape suggests a right coronary artery with its branches, including the posterior descending artery and marginal branches;", + "background": "Background is homogenous and dark, providing contrast to the highlighted vessels." + }, + { + "image": "XCAD\\training\\images\\11710_17.png", + "caption": "X-ray image displaying a coronary angiography with high contrast of coronary arteries;XCAD dataset;The coronary angiography prominently occupies the central and left portions of the image, with catheters introduced likely into the right coronary artery;The coronary angiography extends across a large area of the image, with arterial branches varying from thin to moderately thick;The coronary arteries show a curved and branching pattern with a mix of smooth and irregular contours which are typical of coronary vasculature;The background is homogeneous with minimal artifacts, enhancing the visibility of the angiography.", + "overview": "X-ray image displaying a coronary angiography with high contrast of coronary arteries;", + "dataset": "XCAD dataset;", + "location": "The coronary angiography prominently occupies the central and left portions of the image, with catheters introduced likely into the right coronary artery;", + "size": "The coronary angiography extends across a large area of the image, with arterial branches varying from thin to moderately thick;", + "trend_shape": "The coronary arteries show a curved and branching pattern with a mix of smooth and irregular contours which are typical of coronary vasculature;", + "background": "The background is homogeneous with minimal artifacts, enhancing the visibility of the angiography." + }, + { + "image": "XCAD\\training\\images\\13902_16.png", + "caption": "Monochromatic X-ray image showing the contrast-enhanced arteries of the heart;XCAD dataset;The coronary angiography is visible centrally, slightly to the left side of the image;The size of the coronary angiography is variable, with major vessels being prominent and branching into finer structures;The coronary arteries display a branching pattern, tapering from the aorta with a smooth curvature and no immediate signs of occlusion or significant narrowing;Uniform, low-contrast background with soft tissue densities.", + "overview": "Monochromatic X-ray image showing the contrast-enhanced arteries of the heart;", + "dataset": "XCAD dataset;", + "location": "The coronary angiography is visible centrally, slightly to the left side of the image;", + "size": "The size of the coronary angiography is variable, with major vessels being prominent and branching into finer structures;", + "trend_shape": "The coronary arteries display a branching pattern, tapering from the aorta with a smooth curvature and no immediate signs of occlusion or significant narrowing;", + "background": "Uniform, low-contrast background with soft tissue densities." + }, + { + "image": "CHUAC\\training\\annotations\\10gt.png", + "caption": "Semantic map (GT) of an X-ray coronary angiography from the CHUAC dataset;CHUAC dataset;The semantic map is centered within the image, occupying the majority of the space;The semantic map covers almost the entire image with minimal margins along the edges;The map shows a complex network of coronary arteries with a main trunk and multiple branching vessels, characterized by thin, elongated structures that taper towards the periphery, following a predominantly vertical trend with branching vessels extending laterally.", + "overview": "Semantic map (GT) of an X-ray coronary angiography from the CHUAC dataset;", + "dataset": "CHUAC dataset;", + "location": "The semantic map is centered within the image, occupying the majority of the space;", + "size": "The semantic map covers almost the entire image with minimal margins along the edges;", + "trend_shape": "The map shows a complex network of coronary arteries with a main trunk and multiple branching vessels, characterized by thin, elongated structures that taper towards the periphery, following a predominantly vertical trend with branching vessels extending laterally." + }, + { + "image": "CHUAC\\training\\annotations\\9gt.png", + "caption": "This is a monochromatic semantic map of an X-ray coronary angiography image, representing the ground truth (GT) for vessel structure.The name of the dataset is CHUAC.The semantic map is centrally located within the image, predominantly occupying the upper half but with extensions towards the bottom.The semantic map is medium-sized relative to the image dimensions, with varying line widths that represent vessel calibers.The semantic map shows a dendritic vascular pattern with a primary curved vessel arching to the left and several branching vessels diverging at acute to obtuse angles, resembling the coronary arterial tree.", + "overview": "This is a monochromatic semantic map of an X-ray coronary angiography image, representing the ground truth (GT) for vessel structure.", + "dataset": "The name of the dataset is CHUAC.", + "location": "The semantic map is centrally located within the image, predominantly occupying the upper half but with extensions towards the bottom.", + "size": "The semantic map is medium-sized relative to the image dimensions, with varying line widths that represent vessel calibers.", + "trend_shape": "The semantic map shows a dendritic vascular pattern with a primary curved vessel arching to the left and several branching vessels diverging at acute to obtuse angles, resembling the coronary arterial tree." + }, + { + "image": "CHUAC\\test\\images\\19img.png", + "caption": "X-ray image of a coronary angiography procedure;CHUAC dataset;Angiography located centrally in the image, displaying the coronary arteries;Varies in size, with main arteries appearing wider and branching vessels narrowing;Arteries display a curvilinear pattern with some areas of tortuosity and possible irregularities suggesting stenosis;Background is uniformly dark with low contrast, highlighting the contrast-filled vessels.", + "overview": "X-ray image of a coronary angiography procedure;", + "dataset": "CHUAC dataset;", + "location": "Angiography located centrally in the image, displaying the coronary arteries;", + "size": "Varies in size, with main arteries appearing wider and branching vessels narrowing;", + "trend_shape": "Arteries display a curvilinear pattern with some areas of tortuosity and possible irregularities suggesting stenosis;", + "background": "Background is uniformly dark with low contrast, highlighting the contrast-filled vessels." + }, + { + "image": "CHUAC\\test\\annotations\\20gt.png", + "caption": "Semantic map (GT) of X-ray coronary angiography;CHUAC dataset;Full coverage on a solid black background;Varies within image, with predominant focus centrally extending to the periphery;Intricate branching patterns varying from thick primary vessels to thin secondary and tertiary branches, with a predominantly diagonal orientation from the top left corner to the lower right section of the image.", + "overview": "Semantic map (GT) of X-ray coronary angiography;", + "dataset": "CHUAC dataset;", + "location": "Full coverage on a solid black background;", + "size": "Varies within image, with predominant focus centrally extending to the periphery;", + "trend_shape": "Intricate branching patterns varying from thick primary vessels to thin secondary and tertiary branches, with a predominantly diagonal orientation from the top left corner to the lower right section of the image." + }, + { + "image": "DCA1\\training\\images\\151img.png", + "caption": "Monochromatic grayscale image depicting a high-contrast angiogram of coronary arteries;DCA1 dataset;The coronary angiography prominently located centrally in the image, displaying the detailed structure of the coronary arteries;The angiography shows the coronary arteries with varying size, ranging from larger proximal segments to smaller distal branches;Arteries exhibit a tortuous course with smooth contouring and branching, indicative of normal arterial flow patterns;Homogeneous grayscale backdrop with minimal noise and without any discernible structures.", + "overview": "Monochromatic grayscale image depicting a high-contrast angiogram of coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "The coronary angiography prominently located centrally in the image, displaying the detailed structure of the coronary arteries;", + "size": "The angiography shows the coronary arteries with varying size, ranging from larger proximal segments to smaller distal branches;", + "trend_shape": "Arteries exhibit a tortuous course with smooth contouring and branching, indicative of normal arterial flow patterns;", + "background": "Homogeneous grayscale backdrop with minimal noise and without any discernible structures." + }, + { + "image": "DCA1\\training\\images\\95img.png", + "caption": "Black and white X-ray image displaying contrast medium within coronary arteries;DCA1 dataset;Angiography appears at the center, slightly to the right of the image, oriented vertically;The angiography shows a major vessel with a large arch at the top and branching smaller vessels;The main vessel arches upward then curves back down, with branches extending laterally and downward, indicating a natural coronary artery pattern;Homogeneous, dark background with minimal artifacts.", + "overview": "Black and white X-ray image displaying contrast medium within coronary arteries;", + "dataset": "DCA1 dataset;", + "location": "Angiography appears at the center, slightly to the right of the image, oriented vertically;", + "size": "The angiography shows a major vessel with a large arch at the top and branching smaller vessels;", + "trend_shape": "The main vessel arches upward then curves back down, with branches extending laterally and downward, indicating a natural coronary artery pattern;", + "background": "Homogeneous, dark background with minimal artifacts." + }, + { + "image": "DCA1\\training\\annotations\\101gt.png", + "caption": "This image represents a black and white semantic map or ground truth (GT) of a coronary artery from an X-ray coronary angiography;from the DCA1 dataset;the semantic map appears centered in the image, occupying the majority of the frame with a clear, unobstructed view;it spans almost the full height of the image, with varying width due to the anatomy of the artery;the map shows a prominent curved trend with several distinct turns, starting thicker at the top where the main artery is depicted and tapering off toward the bottom, illustrating the branching and diminishing caliber of the coronary artery network.", + "overview": "This image represents a black and white semantic map or ground truth (GT) of a coronary artery from an X-ray coronary angiography;", + "dataset": "from the DCA1 dataset;", + "location": "the semantic map appears centered in the image, occupying the majority of the frame with a clear, unobstructed view;", + "size": "it spans almost the full height of the image, with varying width due to the anatomy of the artery;", + "trend_shape": "the map shows a prominent curved trend with several distinct turns, starting thicker at the top where the main artery is depicted and tapering off toward the bottom, illustrating the branching and diminishing caliber of the coronary artery network." + }, + { + "image": "DCA1\\training\\annotations\\105gt.png", + "caption": "Semantic map (GT) of an X-ray coronary angiography;from the DCA1 dataset;occupying the central to left portion of the image background;map extends to most of the image, with varying line thickness;features branching linear structures, indicative of coronary arteries, with a fluctuating trend; main vessel with secondary branches visible.", + "overview": "Semantic map (GT) of an X-ray coronary angiography;", + "dataset": "from the DCA1 dataset;", + "location": "occupying the central to left portion of the image background;", + "size": "map extends to most of the image, with varying line thickness;", + "trend_shape": "features branching linear structures, indicative of coronary arteries, with a fluctuating trend; main vessel with secondary branches visible." + }, + { + "image": "DCA1\\training\\annotations\\109gt.png", + "caption": "Groundtruth semantic map of an X-ray coronary angiography image;DCA1 dataset;Central image area;Medium-sized elongated structure;Curvilinear and branching trend, with varying diameter.", + "overview": "Groundtruth semantic map of an X-ray coronary angiography image;", + "dataset": "DCA1 dataset;", + "location": "Central image area;", + "size": "Medium-sized elongated structure;", + "trend_shape": "Curvilinear and branching trend, with varying diameter." + }, + { + "image": "DCA1\\training\\annotations\\111gt.png", + "caption": "A line-based representation of arterial structures indicative of a semantic map or ground truth (GT) for an X-ray coronary angiography image;DCA1 dataset;The semantic map is centered in the image, extending from the top left corner downward and branching primarily towards the bottom right;The semantic map covers the majority of the image area with varying line thicknesses;The trend and shape of the semantic map display a complex vascular network with multiple branching points, indicating coronary arteries, with curves and lines varying from straight to tortuous, simulating real vessel paths.", + "overview": "A line-based representation of arterial structures indicative of a semantic map or ground truth (GT) for an X-ray coronary angiography image;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centered in the image, extending from the top left corner downward and branching primarily towards the bottom right;", + "size": "The semantic map covers the majority of the image area with varying line thicknesses;", + "trend_shape": "The trend and shape of the semantic map display a complex vascular network with multiple branching points, indicating coronary arteries, with curves and lines varying from straight to tortuous, simulating real vessel paths." + }, + { + "image": "DCA1\\training\\annotations\\119gt.png", + "caption": "Semantic map of an X-ray coronary angiography image indicating regions of interest;DCA1 dataset;The semantic map is centered in the image occupying the majority of the space;The map size is not specified, but it extends near the boundaries of the image;The semantic map exhibits a curved and branching structure, mimicking the arterial layout typically observed in angiographic imagery, with varying line thickness that could represent vessel diameter or contrast intensity.", + "overview": "Semantic map of an X-ray coronary angiography image indicating regions of interest;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centered in the image occupying the majority of the space;", + "size": "The map size is not specified, but it extends near the boundaries of the image;", + "trend_shape": "The semantic map exhibits a curved and branching structure, mimicking the arterial layout typically observed in angiographic imagery, with varying line thickness that could represent vessel diameter or contrast intensity." + }, + { + "image": "DCA1\\training\\annotations\\123gt.png", + "caption": "Semantic map representing the vessel structure in an X-ray coronary angiography image; clearly indicating a ground truth (GT) version for the image analysis.Part of the DCA1 dataset.Central location in the image, with a slight inclination towards the upper left quadrant, occupying the majority of the image space.Variable size with the largest width at the proximal portion gradually tapering to a fine line at the distal end.Curvilinear and serpentine trend with multiple bends and loops, resembling the typical course of coronary arteries.", + "overview": "Semantic map representing the vessel structure in an X-ray coronary angiography image; clearly indicating a ground truth (GT) version for the image analysis.", + "dataset": "Part of the DCA1 dataset.", + "location": "Central location in the image, with a slight inclination towards the upper left quadrant, occupying the majority of the image space.", + "size": "Variable size with the largest width at the proximal portion gradually tapering to a fine line at the distal end.", + "trend_shape": "Curvilinear and serpentine trend with multiple bends and loops, resembling the typical course of coronary arteries." + }, + { + "image": "DCA1\\training\\annotations\\145gt.png", + "caption": "Semantic map of X-ray coronary angiography, indicating ground truth (GT) information;from the DCA1 dataset;the semantic map is centrally located against a solid black background, occupying the majority of the image canvas;the map displays a complex network of lines varying in length and curvature, with the largest dimension extending diagonally across the image from the top left to the bottom right;the trend of the semantic map shows a branching pattern reminiscent of blood vessels, with lines tapering and dividing, displaying both smooth curves and sharper angles which simulate coronary arterial pathways.", + "overview": "Semantic map of X-ray coronary angiography, indicating ground truth (GT) information;", + "dataset": "from the DCA1 dataset;", + "location": "the semantic map is centrally located against a solid black background, occupying the majority of the image canvas;", + "size": "the map displays a complex network of lines varying in length and curvature, with the largest dimension extending diagonally across the image from the top left to the bottom right;", + "trend_shape": "the trend of the semantic map shows a branching pattern reminiscent of blood vessels, with lines tapering and dividing, displaying both smooth curves and sharper angles which simulate coronary arterial pathways." + }, + { + "image": "DCA1\\training\\annotations\\151gt.png", + "caption": "Semantic map (GT) of coronary arteries from X-ray angiography;DCA1 dataset;Central depiction, occupying majority of the image's field;Varies in width, with the largest structure approximately 1/5th of image width and the smaller branches a few pixels wide;Curvilinear and branching pattern, emulating arterial tree with large proximal vessels tapering into finer distal branches.", + "overview": "Semantic map (GT) of coronary arteries from X-ray angiography;", + "dataset": "DCA1 dataset;", + "location": "Central depiction, occupying majority of the image's field;", + "size": "Varies in width, with the largest structure approximately 1/5th of image width and the smaller branches a few pixels wide;", + "trend_shape": "Curvilinear and branching pattern, emulating arterial tree with large proximal vessels tapering into finer distal branches." + }, + { + "image": "DCA1\\training\\annotations\\153gt.png", + "caption": "Annotated semantic map of coronary arteries from an X-ray angiography, representing ground truth (GT) data.Derived from the DCA1 dataset.The semantic map is centralized within the image, occupying the majority of the image canvas with clear margins around the periphery.The semantic map does not have a uniform size due to the varying diameter of the arteries; however, it extends approximately to the full width and about three-quarters of the height of the image.The arteries depicted in the semantic map trend predominantly from the top left to the bottom right with branching patterns that include both acute and obtuse angles. The main artery structure tapers as it progresses distally. Some smaller side branches exhibit more curvature and delicate lines, implying smaller vessel size.", + "overview": "Annotated semantic map of coronary arteries from an X-ray angiography, representing ground truth (GT) data.", + "dataset": "Derived from the DCA1 dataset.", + "location": "The semantic map is centralized within the image, occupying the majority of the image canvas with clear margins around the periphery.", + "size": "The semantic map does not have a uniform size due to the varying diameter of the arteries; however, it extends approximately to the full width and about three-quarters of the height of the image.", + "trend_shape": "The arteries depicted in the semantic map trend predominantly from the top left to the bottom right with branching patterns that include both acute and obtuse angles. The main artery structure tapers as it progresses distally. Some smaller side branches exhibit more curvature and delicate lines, implying smaller vessel size." + }, + { + "image": "DCA1\\training\\annotations\\171gt.png", + "caption": "Groundtruth (GT) semantic map of coronary arteries derived from an X-ray angiography image;DCA1 dataset;Semantic map displayed centred on a black background;Map occupies the majority of the image with dimensions extending close to image borders;The semantic map features a complex branching pattern emulating coronary artery anatomy with varying vessel thickness and curvature.", + "overview": "Groundtruth (GT) semantic map of coronary arteries derived from an X-ray angiography image;", + "dataset": "DCA1 dataset;", + "location": "Semantic map displayed centred on a black background;", + "size": "Map occupies the majority of the image with dimensions extending close to image borders;", + "trend_shape": "The semantic map features a complex branching pattern emulating coronary artery anatomy with varying vessel thickness and curvature." + }, + { + "image": "CHUAC\\test\\images\\20img.png", + "caption": "Black and white X-ray image of the heart's arterial structure.CHUAC dataset.The coronary angiography is prominently visible in the center left of the image, showing a branching pattern emanating from the upper left section.The angiography displays arteries of various sizes, with the main artery being approximately a quarter of the image's width, tapering into smaller branches.The arteries exhibit a curvilinear trend with smooth, rounded shapes; the branches extend outwards in a fractal-like, dendritic pattern.Homogeneous, translucent grayscale background.", + "overview": "Black and white X-ray image of the heart's arterial structure.", + "dataset": "CHUAC dataset.", + "location": "The coronary angiography is prominently visible in the center left of the image, showing a branching pattern emanating from the upper left section.", + "size": "The angiography displays arteries of various sizes, with the main artery being approximately a quarter of the image's width, tapering into smaller branches.", + "trend_shape": "The arteries exhibit a curvilinear trend with smooth, rounded shapes; the branches extend outwards in a fractal-like, dendritic pattern.", + "background": "Homogeneous, translucent grayscale background." + }, + { + "image": "DCA1\\training\\annotations\\0gt.png", + "caption": "This image depicts a simplified, white-line schematic representation of coronary arteries on a black background, serving as a semantic map or ground truth (GT) interpretation of an X-ray coronary angiography.The dataset from which this image originates is named the DCA1 dataset.The semantic map prominently occupies the central region of the image, with no clear borders or buffer zones between the representation and the image edges.The size of the semantic map is not specified by numerical dimensions; however, it presents as a high-contrast image with well-defined white lines of varying thickness on a uniform black background.The trend and shape of the semantic map follow the typical branching and curvilinear pattern of coronary arteries, with several major vessels extending outwards and bifurcating into thinner, smaller branches, which display a mix of smooth curves and sharp turns.", + "overview": "This image depicts a simplified, white-line schematic representation of coronary arteries on a black background, serving as a semantic map or ground truth (GT) interpretation of an X-ray coronary angiography.", + "dataset": "The dataset from which this image originates is named the DCA1 dataset.", + "location": "The semantic map prominently occupies the central region of the image, with no clear borders or buffer zones between the representation and the image edges.", + "size": "The size of the semantic map is not specified by numerical dimensions; however, it presents as a high-contrast image with well-defined white lines of varying thickness on a uniform black background.", + "trend_shape": "The trend and shape of the semantic map follow the typical branching and curvilinear pattern of coronary arteries, with several major vessels extending outwards and bifurcating into thinner, smaller branches, which display a mix of smooth curves and sharp turns." + }, + { + "image": "DCA1\\training\\annotations\\114gt.png", + "caption": "This image showcases a high-contrast, monochromatic semantic map of an X-ray coronary angiography;The dataset is named DCA1;The semantic map is centrally located within the image, occupying nearly the entire visual field;The size of the semantic map is large, extending from the top left corner in a smooth curve to the bottom right, including branching structures;The main trend of the semantic map is a dominant curvilinear structure that tapers from a wider proximal segment to a narrower distal segment, with smaller branching vessels originating from the main curve, depicting the coronary arterial tree in a simplified form.", + "overview": "This image showcases a high-contrast, monochromatic semantic map of an X-ray coronary angiography;", + "dataset": "The dataset is named DCA1;", + "location": "The semantic map is centrally located within the image, occupying nearly the entire visual field;", + "size": "The size of the semantic map is large, extending from the top left corner in a smooth curve to the bottom right, including branching structures;", + "trend_shape": "The main trend of the semantic map is a dominant curvilinear structure that tapers from a wider proximal segment to a narrower distal segment, with smaller branching vessels originating from the main curve, depicting the coronary arterial tree in a simplified form." + }, + { + "image": "DCA1\\training\\annotations\\121gt.png", + "caption": "Semantic map of X-ray coronary angiography;DCA1 dataset;Occupying central to bottom-right portion of the image;The semantic map presents with a variable thickness ranging from fine to moderate, angulating across the image in multiple curvilinear forms, resembling arterial structures;The trend is sinuous with several acute and obtuse bends, predominately following a serpentine pattern with a corkscrew-like segment towards the upper central part, compact waveforms in the midsection, and a relatively straighter lineation extending towards the bottom right corner.", + "overview": "Semantic map of X-ray coronary angiography;", + "dataset": "DCA1 dataset;", + "location": "Occupying central to bottom-right portion of the image;", + "size": "The semantic map presents with a variable thickness ranging from fine to moderate, angulating across the image in multiple curvilinear forms, resembling arterial structures;", + "trend_shape": "The trend is sinuous with several acute and obtuse bends, predominately following a serpentine pattern with a corkscrew-like segment towards the upper central part, compact waveforms in the midsection, and a relatively straighter lineation extending towards the bottom right corner." + }, + { + "image": "DCA1\\training\\annotations\\129gt.png", + "caption": "This image is a semantic map of a ground truth (GT) for a coronary artery structure obtained from an X-ray coronary angiography;The image is from the DCA1 dataset;The semantic map is centrally located in the image against a uniform black background;The size of the semantic map appears to be consistent with the image resolution, occupying a substantial portion of the image canvas;The trend of the semantic map is a complex, branching pattern typical of coronary arterial anatomy, with several bifurcations and curved segments of varying curvature, creating a network of interconnected lines with different lengths and widths.", + "overview": "This image is a semantic map of a ground truth (GT) for a coronary artery structure obtained from an X-ray coronary angiography;", + "dataset": "The image is from the DCA1 dataset;", + "location": "The semantic map is centrally located in the image against a uniform black background;", + "size": "The size of the semantic map appears to be consistent with the image resolution, occupying a substantial portion of the image canvas;", + "trend_shape": "The trend of the semantic map is a complex, branching pattern typical of coronary arterial anatomy, with several bifurcations and curved segments of varying curvature, creating a network of interconnected lines with different lengths and widths." + }, + { + "image": "DCA1\\training\\annotations\\183gt.png", + "caption": "The image shows a monochrome semantic map or ground truth representation of coronary arteries extracted from an X-ray angiography;The semantic map originates from the DCA1 dataset;The semantic map is centrally located in the image, occupying nearly the entire frame with clear space around the edges;The exact size of the semantic map is not specified, but it presents with varying thickness resembling real arteries, with some parts of the map being dense and well-defined, while others are more sparse and delicate;The trend of the semantic map is intricate, showing a complex branching pattern that mimics the natural course of coronary vessels; the shape follows a curvilinear and somewhat fractal pattern, with smooth curves and bifurcations indicative of arterial structures.", + "overview": "The image shows a monochrome semantic map or ground truth representation of coronary arteries extracted from an X-ray angiography;", + "dataset": "The semantic map originates from the DCA1 dataset;", + "location": "The semantic map is centrally located in the image, occupying nearly the entire frame with clear space around the edges;", + "size": "The exact size of the semantic map is not specified, but it presents with varying thickness resembling real arteries, with some parts of the map being dense and well-defined, while others are more sparse and delicate;", + "trend_shape": "The trend of the semantic map is intricate, showing a complex branching pattern that mimics the natural course of coronary vessels; the shape follows a curvilinear and somewhat fractal pattern, with smooth curves and bifurcations indicative of arterial structures." + }, + { + "image": "DCA1\\training\\annotations\\227gt.png", + "caption": "Semantic map of vascular structures as ground truth representation;DCA1 dataset;Central in the image on a uniform black background;Variable width, but maintaining a high contrast with the background;Curvilinear, undulating with bifurcations and tapering ends.", + "overview": "Semantic map of vascular structures as ground truth representation;", + "dataset": "DCA1 dataset;", + "location": "Central in the image on a uniform black background;", + "size": "Variable width, but maintaining a high contrast with the background;", + "trend_shape": "Curvilinear, undulating with bifurcations and tapering ends." + }, + { + "image": "DCA1\\training\\annotations\\143gt.png", + "caption": "High-contrast, white-on-black semantic map of a curvilinear vascular structure resembling the layout of coronary arteries, identified as a ground truth (GT) representation;from the DCA1 dataset;the semantic map is centrally located within the image boundaries, occupying a prominent position and facilitating clear observation of its features;the semantic map covers a substantial portion of the image, with curvilinear structures of varying thickness that suggest a depiction of main arterial branches as well as finer secondary branches;the semantic map exhibits a diverging tree-like pattern with several primary curvilinear paths that bifurcate into smaller paths, maintaining a naturalistic and fluid contour that mirrors the arterial branching system seen in coronary angiography.", + "overview": "High-contrast, white-on-black semantic map of a curvilinear vascular structure resembling the layout of coronary arteries, identified as a ground truth (GT) representation;", + "dataset": "from the DCA1 dataset;", + "location": "the semantic map is centrally located within the image boundaries, occupying a prominent position and facilitating clear observation of its features;", + "size": "the semantic map covers a substantial portion of the image, with curvilinear structures of varying thickness that suggest a depiction of main arterial branches as well as finer secondary branches;", + "trend_shape": "the semantic map exhibits a diverging tree-like pattern with several primary curvilinear paths that bifurcate into smaller paths, maintaining a naturalistic and fluid contour that mirrors the arterial branching system seen in coronary angiography." + }, + { + "image": "DCA1\\training\\annotations\\193gt.png", + "caption": "A black background featuring a detailed white curvilinear network representing a semantic map or ground truth (GT) of vascular structures;From the DCA1 dataset;The semantic map is predominantly located in the central region of the image, with extensions stretching towards the upper left and lower regions;The size of the semantic map is substantial relative to the image, occupying the majority of the space with varied thickness in lines, suggesting different vessel sizes;The trend of the semantic map is a complex branching pattern with multiple bifurcations, resembling arterial structures, with a shape that consists of elongated curving paths and both acute and obtuse branching angles.", + "overview": "A black background featuring a detailed white curvilinear network representing a semantic map or ground truth (GT) of vascular structures;", + "dataset": "From the DCA1 dataset;", + "location": "The semantic map is predominantly located in the central region of the image, with extensions stretching towards the upper left and lower regions;", + "size": "The size of the semantic map is substantial relative to the image, occupying the majority of the space with varied thickness in lines, suggesting different vessel sizes;", + "trend_shape": "The trend of the semantic map is a complex branching pattern with multiple bifurcations, resembling arterial structures, with a shape that consists of elongated curving paths and both acute and obtuse branching angles." + }, + { + "image": "DCA1\\training\\annotations\\203gt.png", + "caption": "Semantic map (ground truth or GT) of a coronary artery structure;Dataset: DCA1;Location: The semantic map occupies the central and upper portion of the image with negative space around;Size: The semantic map displays a network of lines with varying thickness, spanning a majority of the image area;Trend and shape: The map features curvilinear shapes representing arterial pathways, with multiple bifurcations and a few overlapping segments, resembling a tree-like vascular structure. The thickest vessel curves from the upper left to the center, while thinner branches extend outward in various directions.", + "overview": "Semantic map (ground truth or GT) of a coronary artery structure;", + "dataset": "Dataset: DCA1;", + "location": "Location: The semantic map occupies the central and upper portion of the image with negative space around;", + "size": "Size: The semantic map displays a network of lines with varying thickness, spanning a majority of the image area;", + "trend_shape": "Trend and shape: The map features curvilinear shapes representing arterial pathways, with multiple bifurcations and a few overlapping segments, resembling a tree-like vascular structure. The thickest vessel curves from the upper left to the center, while thinner branches extend outward in various directions." + }, + { + "image": "DCA1\\training\\annotations\\215gt.png", + "caption": "Semantic map of a coronary angiography image, representing the ground truth (GT) for arterial structures;Dataset name: DCA1;Location: The semantic map is centrally located within the image bounds, occupying a prominent position from the top-left corner, curving down towards the center, and extending towards the bottom-right corner;Size: The semantic map has varying widths with a narrow starting point that expands into wider curved segments;Trend and shape: The semantic map displays a serpentine trend with complex curvilinear shapes, featuring a larger arching curve at the top, a smaller loop towards the upper left, and several sinuous extensions towards the bottom, suggesting various branching arterial pathways.", + "overview": "Semantic map of a coronary angiography image, representing the ground truth (GT) for arterial structures;", + "dataset": "Dataset name: DCA1;", + "location": "Location: The semantic map is centrally located within the image bounds, occupying a prominent position from the top-left corner, curving down towards the center, and extending towards the bottom-right corner;", + "size": "Size: The semantic map has varying widths with a narrow starting point that expands into wider curved segments;", + "trend_shape": "Trend and shape: The semantic map displays a serpentine trend with complex curvilinear shapes, featuring a larger arching curve at the top, a smaller loop towards the upper left, and several sinuous extensions towards the bottom, suggesting various branching arterial pathways." + }, + { + "image": "DCA1\\training\\annotations\\221gt.png", + "caption": "This image is a black and white semantic map, also known as a ground truth (GT), representing curvilinear structures similar to blood vessels.The dataset is named DCAThe semantic map is centrally located in the image, occupying the majority of the space with clear boundaries against the black background.The size of the semantic map is large relative to the image canvas, spanning from the upper left quadrant to the lower right quadrant, with a varied width throughout its structure.The trend of the semantic map is predominantly vertical with multiple branching points and curves; the shape follows a complex, arborescent pattern with both thick main branches and thinner, intricate secondary branches tapering to fine endpoints.", + "overview": "This image is a black and white semantic map, also known as a ground truth (GT), representing curvilinear structures similar to blood vessels.", + "dataset": "The dataset is named DCA", + "location": "", + "size": "The semantic map is centrally located in the image, occupying the majority of the space with clear boundaries against the black background.", + "trend_shape": "The size of the semantic map is large relative to the image canvas, spanning from the upper left quadrant to the lower right quadrant, with a varied width throughout its structure.", + "background": "The trend of the semantic map is predominantly vertical with multiple branching points and curves; the shape follows a complex, arborescent pattern with both thick main branches and thinner, intricate secondary branches tapering to fine endpoints." + }, + { + "image": "DCA1\\training\\annotations\\237gt.png", + "caption": "This image features a high-contrast semantic map of curvilinear structures consistent with X-ray coronary angiographic imaging, highlighting arterial pathways as a Groundtruth (GT) representation;The dataset is identified as DCA1;The semantic map is centrally located in the image, with structures depicted throughout the entirety of the image space;The exact size is not specified, but the structures range from very fine to moderately broad, accommodating the variance in arterial width;The trend illustrates a complex network of curvilinear shapes mimicking the coronary arterial system, with multiple branching points, loops, and curves, indicative of natural vascular structures.", + "overview": "This image features a high-contrast semantic map of curvilinear structures consistent with X-ray coronary angiographic imaging, highlighting arterial pathways as a Groundtruth (GT) representation;", + "dataset": "The dataset is identified as DCA1;", + "location": "The semantic map is centrally located in the image, with structures depicted throughout the entirety of the image space;", + "size": "The exact size is not specified, but the structures range from very fine to moderately broad, accommodating the variance in arterial width;", + "trend_shape": "The trend illustrates a complex network of curvilinear shapes mimicking the coronary arterial system, with multiple branching points, loops, and curves, indicative of natural vascular structures." + }, + { + "image": "DCA1\\training\\annotations\\246gt.png", + "caption": "Semantic map (GT) representing curvilinear structures consistent with coronary arteries in an X-ray coronary angiography image;DCA1 dataset;The semantic map is centrally located within the image, extending across the entirety of the image field;The semantic map exhibits various sizes of curvilinear objects with line widths varying from very thin to moderately thick, covering a substantial portion of the image space;The trend of the semantic map includes a mix of gently curving lines and more sharply angulated branches, with shapes ranging from elongated curvatures to bifurcations and complex overlapping structures.", + "overview": "Semantic map (GT) representing curvilinear structures consistent with coronary arteries in an X-ray coronary angiography image;", + "dataset": "DCA1 dataset;", + "location": "The semantic map is centrally located within the image, extending across the entirety of the image field;", + "size": "The semantic map exhibits various sizes of curvilinear objects with line widths varying from very thin to moderately thick, covering a substantial portion of the image space;", + "trend_shape": "The trend of the semantic map includes a mix of gently curving lines and more sharply angulated branches, with shapes ranging from elongated curvatures to bifurcations and complex overlapping structures." + }, + { + "image": "DCA1\\training\\annotations\\251gt.png", + "caption": "Semantic map (GT) of X-ray coronary angiography representing curvilinear structures;DCA1 dataset;Curvilinear structures are centrally located, extending from the top left to the bottom of the image with branches radiating outward;Variable thickness of curvilinear structures ranging from very fine to moderately thick lines;Primary structure has a sinuous trend, forming a 'Y' shape at the center, with secondary structures branching off with smooth, curved shapes.", + "overview": "Semantic map (GT) of X-ray coronary angiography representing curvilinear structures;", + "dataset": "DCA1 dataset;", + "location": "Curvilinear structures are centrally located, extending from the top left to the bottom of the image with branches radiating outward;", + "size": "Variable thickness of curvilinear structures ranging from very fine to moderately thick lines;", + "trend_shape": "Primary structure has a sinuous trend, forming a 'Y' shape at the center, with secondary structures branching off with smooth, curved shapes." + }, + { + "image": "DCA1\\training\\annotations\\263gt.png", + "caption": "This is a simplified monochrome semantic map representing the vascular structure from an X-ray coronary angiography, labeled as ground truth (GT).The image is from the DCA1 dataset.The semantic map is located in the central portion of the image, occupying most of the image area with a clear, unobstructed background.The size of the semantic map is variable; the main vessel is broad and becomes progressively finer with branching, consistent with the diminishing calibers of coronary arteries.The trend of the semantic map is curvilinear and sinuous, starting from a single large vessel at the top extending downwards. The shape includes multiple branches that bifurcate and taper off, resembling the natural anatomy of coronary arteries with diminishing diameters as they extend peripherally.", + "overview": "This is a simplified monochrome semantic map representing the vascular structure from an X-ray coronary angiography, labeled as ground truth (GT).", + "dataset": "The image is from the DCA1 dataset.", + "location": "The semantic map is located in the central portion of the image, occupying most of the image area with a clear, unobstructed background.", + "size": "The size of the semantic map is variable; the main vessel is broad and becomes progressively finer with branching, consistent with the diminishing calibers of coronary arteries.", + "trend_shape": "The trend of the semantic map is curvilinear and sinuous, starting from a single large vessel at the top extending downwards. The shape includes multiple branches that bifurcate and taper off, resembling the natural anatomy of coronary arteries with diminishing diameters as they extend peripherally." + }, + { + "image": "DCA1\\training\\annotations\\45gt.png", + "caption": "This image is a black and white semantic map or groundtruth (GT) depicting the branching structure of arteries from an X-ray coronary angiography.The dataset name is DCAThe semantic map is centrally located within the image, covering a majority of the image area without reaching the edges.The semantic map is moderately complex, occupying a medium to large portion of the image canvas. The size of the curvilinear structures varies, with some lines being thin and delicate while others are thicker and more prominent.The trend of the semantic map is predominantly vertical with some curvilinear structures branching outwards. The shape of the map reveals a connected network; there are smooth curves representing arterial paths, with multiple bifurcations and some overlap of the curvilinear objects.", + "overview": "This image is a black and white semantic map or groundtruth (GT) depicting the branching structure of arteries from an X-ray coronary angiography.", + "dataset": "The dataset name is DCA", + "location": "", + "size": "The semantic map is centrally located within the image, covering a majority of the image area without reaching the edges.", + "trend_shape": "The semantic map is moderately complex, occupying a medium to large portion of the image canvas. The size of the curvilinear structures varies, with some lines being thin and delicate while others are thicker and more prominent.", + "background": "The trend of the semantic map is predominantly vertical with some curvilinear structures branching outwards. The shape of the map reveals a connected network; there are smooth curves representing arterial paths, with multiple bifurcations and some overlap of the curvilinear objects." + }, + { + "image": "DCA1\\training\\annotations\\83gt.png", + "caption": "Black and white semantic map image representing ground truth (GT) extracted from an X-ray coronary angiography;Part of the DCA1 dataset;The semantic map is centered and occupies the majority of the image frame, with some branches extending towards the edges;The semantic map has varying thickness throughout, ranging from fine lines to broader curves, creating a network of lines;The trend of the semantic map is sinuous with multiple curving paths that resemble arterial structures, with some bifurcating branches and loops, indicative of the natural variability in coronary artery anatomy.", + "overview": "Black and white semantic map image representing ground truth (GT) extracted from an X-ray coronary angiography;", + "dataset": "Part of the DCA1 dataset;", + "location": "The semantic map is centered and occupies the majority of the image frame, with some branches extending towards the edges;", + "size": "The semantic map has varying thickness throughout, ranging from fine lines to broader curves, creating a network of lines;", + "trend_shape": "The trend of the semantic map is sinuous with multiple curving paths that resemble arterial structures, with some bifurcating branches and loops, indicative of the natural variability in coronary artery anatomy." + }, + { + "image": "DCA1\\training\\annotations\\97gt.png", + "caption": "Semantic map (GT) of an X-ray coronary angiography image featuring curvilinear structures;From the DCA1 dataset;The semantic map is centrally located within the image, dominating the field of view;The size of the semantic map is relatively large compared to the image, occupying the majority of the image space;The semantic map's trend is from the top-left corner to the bottom-right, displaying a branching pattern with tapering vessels, denoting the tree-like structure of coronary arteries.", + "overview": "Semantic map (GT) of an X-ray coronary angiography image featuring curvilinear structures;", + "dataset": "From the DCA1 dataset;", + "location": "The semantic map is centrally located within the image, dominating the field of view;", + "size": "The size of the semantic map is relatively large compared to the image, occupying the majority of the image space;", + "trend_shape": "The semantic map's trend is from the top-left corner to the bottom-right, displaying a branching pattern with tapering vessels, denoting the tree-like structure of coronary arteries." + }, + { + "image": "DCA1\\test\\annotations\\12gt.png", + "caption": "This image is a semantic map or ground truth (GT) representation of coronary arteries extracted from an X-ray coronary angiography;The dataset is known as DCA1;The semantic map is centrally located within the image, occupying a majority of the space from the top left corner to the lower regions, slightly skewed towards the left-hand side;The size of the semantic map appears to cover approximately two-thirds of the image area, with varying width along its length which spans the majority of the image's vertical extent;The trend of the semantic map reveals a primary curvilinear structure that bifurcates into secondary branches, displaying sinuous and complex shapes that resemble vascular structures, with curves and turns of varying radii.", + "overview": "This image is a semantic map or ground truth (GT) representation of coronary arteries extracted from an X-ray coronary angiography;", + "dataset": "The dataset is known as DCA1;", + "location": "The semantic map is centrally located within the image, occupying a majority of the space from the top left corner to the lower regions, slightly skewed towards the left-hand side;", + "size": "The size of the semantic map appears to cover approximately two-thirds of the image area, with varying width along its length which spans the majority of the image's vertical extent;", + "trend_shape": "The trend of the semantic map reveals a primary curvilinear structure that bifurcates into secondary branches, displaying sinuous and complex shapes that resemble vascular structures, with curves and turns of varying radii." + }, + { + "image": "DCA1\\test\\annotations\\14gt.png", + "caption": "Black and white semantic map or ground truth (GT) representing curvilinear structures resembling blood vessels; 2. DCA1 dataset; 3. The semantic map is centrally located and runs vertically through the image; 4. The semantic map varies in width along its length with a general size that spans the majority of the image vertically; 5. The trend of the semantic map is predominantly vertical with curvilinear branches extending outward, resembling the arterial branches of a coronary angiography, with smooth and continuous lines showing variability in curvature.", + "overview": "Black and white semantic map or ground truth (GT) representing curvilinear structures resembling blood vessels; 2. DCA1 dataset; 3. The semantic map is centrally located and runs vertically through the image; 4. The semantic map varies in width along its length with a general size that spans the majority of the image vertically; 5. The trend of the semantic map is predominantly vertical with curvilinear branches extending outward, resembling the arterial branches of a coronary angiography, with smooth and continuous lines showing variability in curvature." + }, + { + "image": "DCA1\\test\\annotations\\24gt.png", + "caption": "This image is a high-contrast semantic map or ground truth (GT) of vascular structures; 2. originating from the DCA1 dataset; 3. The semantic map is centrally located in the image, featured against a uniform, dark background, occupying the majority of the image space with clear boundaries; 4. The semantic map spans across the entire image height and nearly the full width, making it a predominant feature with sufficient resolution to discern individual curvilinear structures; 5. The semantic map showcases a complex network of curvilinear structures with varying curvatures and lengths, resembling arteries in an arterial tree with a main trunk and multiple branching patterns extending outward in various directions, forming a dendritic configuration.", + "overview": "This image is a high-contrast semantic map or ground truth (GT) of vascular structures; 2. originating from the DCA1 dataset; 3. The semantic map is centrally located in the image, featured against a uniform, dark background, occupying the majority of the image space with clear boundaries; 4. The semantic map spans across the entire image height and nearly the full width, making it a predominant feature with sufficient resolution to discern individual curvilinear structures; 5. The semantic map showcases a complex network of curvilinear structures with varying curvatures and lengths, resembling arteries in an arterial tree with a main trunk and multiple branching patterns extending outward in various directions, forming a dendritic configuration." + }, + { + "image": "DCA1\\test\\annotations\\26gt.png", + "caption": "Semantic map representing vascular structures in a high contrast, grayscale style, identified as a groundtruth (GT) graphic overlay for identifying key features in X-ray coronary angiography; 2. DCA1 dataset; 3. Positioned centrally within the image boundaries, the semantic map occupies the majority of the frame with clear spacing around the edges; 4. The size of the semantic map is large, extending from the top to the bottom and almost touching the left and right borders of the image, maximizing the use of the available space while maintaining a distinct boundary from the frame edges; 5. The trend of the curvilinear structures is sinuous, with multiple smooth curves and bends of varying radii, depicting the anatomic pathways of coronary arteries, and the shape follows a complex, branched pattern consistent with arterial branching and vascular networks.", + "overview": "Semantic map representing vascular structures in a high contrast, grayscale style, identified as a groundtruth (GT) graphic overlay for identifying key features in X-ray coronary angiography; 2. DCA1 dataset; 3. Positioned centrally within the image boundaries, the semantic map occupies the majority of the frame with clear spacing around the edges; 4. The size of the semantic map is large, extending from the top to the bottom and almost touching the left and right borders of the image, maximizing the use of the available space while maintaining a distinct boundary from the frame edges; 5. The trend of the curvilinear structures is sinuous, with multiple smooth curves and bends of varying radii, depicting the anatomic pathways of coronary arteries, and the shape follows a complex, branched pattern consistent with arterial branching and vascular networks." + }, + { + "image": "DCA1\\test\\annotations\\34gt.png", + "caption": "Black-and-white semantic map highlighting the curvilinear structures representing coronary arteries, indicating it's a ground truth (GT) image for model training;DCA1 dataset;The semantic map occupies the central region of the image, with the main structures slightly skewed to the top-right portion of the frame;The size of the semantic map is large relative to the image canvas, with the branches of the curvilinear structures varying in length, but mainly stretching across the full height and partially the width of the image;The trend of the semantic map is primarily vertical with some diagonal inclination, featuring curvilinear shapes that taper and branch out akin to a tree structure, with varying curvature and bifurcation angles representing a vascular network.", + "overview": "Black-and-white semantic map highlighting the curvilinear structures representing coronary arteries, indicating it's a ground truth (GT) image for model training;", + "dataset": "DCA1 dataset;", + "location": "The semantic map occupies the central region of the image, with the main structures slightly skewed to the top-right portion of the frame;", + "size": "The size of the semantic map is large relative to the image canvas, with the branches of the curvilinear structures varying in length, but mainly stretching across the full height and partially the width of the image;", + "trend_shape": "The trend of the semantic map is primarily vertical with some diagonal inclination, featuring curvilinear shapes that taper and branch out akin to a tree structure, with varying curvature and bifurcation angles representing a vascular network." + }, + { + "image": "DCA1\\test\\annotations\\38gt.png", + "caption": "This is a monochromatic semantic map or groundtruth (GT) depicting curvilinear structures; 2. belonging to the DCA1 dataset; 3. these structures are centrally located and cover a majority of the image area; 4. the map is irregular in size with varying widths of the curvilinear structures; 5. it exhibits a branching, snaking pattern that resembles vascular or arterial pathways.", + "overview": "This is a monochromatic semantic map or groundtruth (GT) depicting curvilinear structures; 2. belonging to the DCA1 dataset; 3. these structures are centrally located and cover a majority of the image area; 4. the map is irregular in size with varying widths of the curvilinear structures; 5. it exhibits a branching, snaking pattern that resembles vascular or arterial pathways." + }, + { + "image": "DCA1\\test\\annotations\\40gt.png", + "caption": "This image depicts a semantic map, or groundtruth (GT), representing curvilinear structures that resemble blood vessels, with clear white lines on a solid black background; 2. DCA1 dataset; 3. The semantic map is located centrally within the image and occupies the majority of the image space; 4. The size of the semantic map varies, with the central, thicker white line being the most prominent feature and several thinner, smaller branches extending from it; 5. The trend of the semantic map is primarily vertical with slight orientation changes, and the shape exhibits branching patterns with smooth curves that simulate the anatomy of coronary arteries.", + "overview": "This image depicts a semantic map, or groundtruth (GT), representing curvilinear structures that resemble blood vessels, with clear white lines on a solid black background; 2. DCA1 dataset; 3. The semantic map is located centrally within the image and occupies the majority of the image space; 4. The size of the semantic map varies, with the central, thicker white line being the most prominent feature and several thinner, smaller branches extending from it; 5. The trend of the semantic map is primarily vertical with slight orientation changes, and the shape exhibits branching patterns with smooth curves that simulate the anatomy of coronary arteries." + }, + { + "image": "DCA1\\test\\annotations\\42gt.png", + "caption": "Semantic map (GT) of curvilinear structures resembling vascular networks; 2. DCA1 dataset; 3. Centralized in the image, occupying the majority of the canvas; 4. Approximately full image width and height, variable thickness of lines; 5. Multiple branching curvilinear shapes extending from a common trunk with varying curvature and lengths, no crossings, tapering endpoints.", + "overview": "Semantic map (GT) of curvilinear structures resembling vascular networks; 2. DCA1 dataset; 3. Centralized in the image, occupying the majority of the canvas; 4. Approximately full image width and height, variable thickness of lines; 5. Multiple branching curvilinear shapes extending from a common trunk with varying curvature and lengths, no crossings, tapering endpoints." + }, + { + "image": "DCA1\\test\\annotations\\4gt.png", + "caption": "This is a monochromatic semantic map or ground truth (GT) representation of an X-ray coronary angiography image; 2. from the DCA1 dataset; 3. the semantic map is centrally positioned against a uniform black background, occupying the majority of the image space; 4. the size of the semantic map encompasses a substantial portion of the image canvas, featuring curvilinear elements of varying thickness; 5. the trends of the semantic map include multiple undulating curves and bends, with shapes resembling vascular structures of the human heart, including a main sinuous structure with branching segments of differing curvatures and lengths.", + "overview": "This is a monochromatic semantic map or ground truth (GT) representation of an X-ray coronary angiography image; 2. from the DCA1 dataset; 3. the semantic map is centrally positioned against a uniform black background, occupying the majority of the image space; 4. the size of the semantic map encompasses a substantial portion of the image canvas, featuring curvilinear elements of varying thickness; 5. the trends of the semantic map include multiple undulating curves and bends, with shapes resembling vascular structures of the human heart, including a main sinuous structure with branching segments of differing curvatures and lengths." + }, + { + "image": "DCA1\\test\\annotations\\52gt.png", + "caption": "This image is a high-contrast, black-and-white semantic map or ground truth (GT) representation of coronary arteries;The image is from the DCA1 dataset;The semantic map is centrally located in the image, occupying the majority of the space with clear margins from the edges of the image;The size of the semantic map is substantial relative to the image frame, with curvilinear forms extending across the image without touching the boundaries, suggesting an intentional focus on the structures depicted;The trend of the semantic map follows a branching pattern, reminiscent of an arterial tree with primary curvilinear structures extending and tapering into smaller branches, the shape includes smooth curves, loops, and bifurcations indicative of vascular anatomy.", + "overview": "This image is a high-contrast, black-and-white semantic map or ground truth (GT) representation of coronary arteries;", + "dataset": "The image is from the DCA1 dataset;", + "location": "The semantic map is centrally located in the image, occupying the majority of the space with clear margins from the edges of the image;", + "size": "The size of the semantic map is substantial relative to the image frame, with curvilinear forms extending across the image without touching the boundaries, suggesting an intentional focus on the structures depicted;", + "trend_shape": "The trend of the semantic map follows a branching pattern, reminiscent of an arterial tree with primary curvilinear structures extending and tapering into smaller branches, the shape includes smooth curves, loops, and bifurcations indicative of vascular anatomy." + }, + { + "image": "DCA1\\test\\annotations\\74gt.png", + "caption": "Semantic map of X-ray coronary angiography illustrating vascular structures as white lines on a black background; designated as ground truth (GT) for model training.DCA1 dataset.The semantic map is centrally located within the image boundaries, occupying the majority of the space.The semantic map features vary in size, with several prominent curvilinear structures extending across the image; the largest structure spans from the upper left quadrant to the lower central region, while smaller branches emanate and taper off towards the edges.The trend of the semantic map shows a complex network of curvilinear shapes, primarily orientated vertically with bifurcations and curvatures; the vascular representations are sinuous with variable widths, depicting realistic arterial pathways.", + "overview": "Semantic map of X-ray coronary angiography illustrating vascular structures as white lines on a black background; designated as ground truth (GT) for model training.", + "dataset": "DCA1 dataset.", + "location": "The semantic map is centrally located within the image boundaries, occupying the majority of the space.", + "size": "The semantic map features vary in size, with several prominent curvilinear structures extending across the image; the largest structure spans from the upper left quadrant to the lower central region, while smaller branches emanate and taper off towards the edges.", + "trend_shape": "The trend of the semantic map shows a complex network of curvilinear shapes, primarily orientated vertically with bifurcations and curvatures; the vascular representations are sinuous with variable widths, depicting realistic arterial pathways." + }, + { + "image": "DCA1\\test\\annotations\\8gt.png", + "caption": "This image is a high-contrast, black and white semantic map or ground truth (GT) representation of coronary arteries as derived from an X-ray coronary angiography; 2. The name of the dataset is DCA1; 3. The semantic map is centrally located within the image, occupying the majority of the space amid a black background; 4. The size of the semantic map varies across its structure, with the width of the curvilinear objects ranging from very thin to moderately thick, indicating different diameters of the vessels; 5. The trend and shape of the semantic map show multiple branching structures with varying curvatures and lengths, resembling a tree-like vascular system with several bifurcations, and descending in a generally vertical orientation from the top to the bottom of the image.", + "overview": "This image is a high-contrast, black and white semantic map or ground truth (GT) representation of coronary arteries as derived from an X-ray coronary angiography; 2. The name of the dataset is DCA1; 3. The semantic map is centrally located within the image, occupying the majority of the space amid a black background; 4. The size of the semantic map varies across its structure, with the width of the curvilinear objects ranging from very thin to moderately thick, indicating different diameters of the vessels; 5. The trend and shape of the semantic map show multiple branching structures with varying curvatures and lengths, resembling a tree-like vascular system with several bifurcations, and descending in a generally vertical orientation from the top to the bottom of the image." + }, + { + "image": "XCAD\\training\\images\\00018_33.png", + "caption": "Monochrome image displaying a high-contrast angiography capture with fine curvilinear structures visible; 2. XCAD dataset; 3. The coronary angiography appears centrally located within the image frame, occupying the mid to lower region and slightly skewed to the right side from the viewer's perspective; 4. The angiography shows vessels of varying sizes, with some major vessels appearing to be approximately one-tenth of the image's width in diameter; 5. The vessels depicted have a sinuous trend and exhibit S-shaped and curving forms, transitioning smoothly from thicker proximal segments to thinner distal branches; 6. The background is uniformly dark with minimal variation, enhancing the visibility of the angiography features.", + "overview": "Monochrome image displaying a high-contrast angiography capture with fine curvilinear structures visible; 2. XCAD dataset; 3. The coronary angiography appears centrally located within the image frame, occupying the mid to lower region and slightly skewed to the right side from the viewer's perspective; 4. The angiography shows vessels of varying sizes, with some major vessels appearing to be approximately one-tenth of the image's width in diameter; 5. The vessels depicted have a sinuous trend and exhibit S-shaped and curving forms, transitioning smoothly from thicker proximal segments to thinner distal branches; 6. The background is uniformly dark with minimal variation, enhancing the visibility of the angiography features." + }, + { + "image": "XCAD\\training\\images\\00026_38.png", + "caption": "Monochromatic X-ray image displaying high-contrast internal structures;XCAD dataset;Central and slightly left-of-center, predominantly vertical orientation;Varies from thin branching structures to broader tube-like formations;Curvilinear, branching, and winding with looping segments and variable radii;Uniform, grainy grey background with subtle anatomical outlines.", + "overview": "Monochromatic X-ray image displaying high-contrast internal structures;", + "dataset": "XCAD dataset;", + "location": "Central and slightly left-of-center, predominantly vertical orientation;", + "size": "Varies from thin branching structures to broader tube-like formations;", + "trend_shape": "Curvilinear, branching, and winding with looping segments and variable radii;", + "background": "Uniform, grainy grey background with subtle anatomical outlines." + }, + { + "image": "XCAD\\training\\images\\00087_33.png", + "caption": "Monochromatic X-ray image displaying the intricate network of coronary arteries with a contrast medium; 2. XCAD dataset; 3. The coronary angiography is centrally located, dominating the mid-to-lower region of the image with several branching vessels evident; 4. The coronary angiography portrays vessels of varying sizes, with main arteries being more prominent in width and visibility, tapering into finer branches; 5. The coronary vessels display a sinuous and branching trend, ranging from broad, smoothly curving main arteries to complex, smaller calibre branches with a multitude of curves and bifurcations; 6. Uniformly dark background with subtle variations in shade due to underlying anatomical structures.", + "overview": "Monochromatic X-ray image displaying the intricate network of coronary arteries with a contrast medium; 2. XCAD dataset; 3. The coronary angiography is centrally located, dominating the mid-to-lower region of the image with several branching vessels evident; 4. The coronary angiography portrays vessels of varying sizes, with main arteries being more prominent in width and visibility, tapering into finer branches; 5. The coronary vessels display a sinuous and branching trend, ranging from broad, smoothly curving main arteries to complex, smaller calibre branches with a multitude of curves and bifurcations; 6. Uniformly dark background with subtle variations in shade due to underlying anatomical structures." + }, + { + "image": "XCAD\\training\\images\\00303_28.png", + "caption": "Monochrome X-ray image showcasing contrast-filled coronary arteries;XCAD dataset;Coronary angiography prominently displayed in the center extending towards the upper-right quadrant of the image;Varying vessel diameters ranging from 2 to 4 mm visible in the image;Sinuous vessels with multiple curvatures and bifurcations, exhibiting both smooth and tortuous segments;Homogeneous grey background with subtle variations and soft tissue shadows.", + "overview": "Monochrome X-ray image showcasing contrast-filled coronary arteries;", + "dataset": "XCAD dataset;", + "location": "Coronary angiography prominently displayed in the center extending towards the upper-right quadrant of the image;", + "size": "Varying vessel diameters ranging from 2 to 4 mm visible in the image;", + "trend_shape": "Sinuous vessels with multiple curvatures and bifurcations, exhibiting both smooth and tortuous segments;", + "background": "Homogeneous grey background with subtle variations and soft tissue shadows." + }, + { + "image": "XCAD\\training\\images\\00457_59.png", + "caption": "Monochromatic X-ray image depicting an arterial structure with high contrast against a darker background.XCAD dataset.The coronary angiography is visualized predominantly on the right third of the image, extending from the top center towards the bottom right corner.The size of the coronary angiography indicates a variable diameter throughout, with the main arterial trunk appearing larger and secondary branching vessels tapering to finer dimensions.Arterial structure shows a sinuous flow with several curves; the primary vessel curves downwards with a gentle S-shape before branching into smaller vessels, some of which display more serpentine and looped configurations with acute angles.The background is uniformly dark with slight gradient variations, providing a contrasting backdrop to the arterial structure.", + "overview": "Monochromatic X-ray image depicting an arterial structure with high contrast against a darker background.", + "dataset": "XCAD dataset.", + "location": "The coronary angiography is visualized predominantly on the right third of the image, extending from the top center towards the bottom right corner.", + "size": "The size of the coronary angiography indicates a variable diameter throughout, with the main arterial trunk appearing larger and secondary branching vessels tapering to finer dimensions.", + "trend_shape": "Arterial structure shows a sinuous flow with several curves; the primary vessel curves downwards with a gentle S-shape before branching into smaller vessels, some of which display more serpentine and looped configurations with acute angles.", + "background": "The background is uniformly dark with slight gradient variations, providing a contrasting backdrop to the arterial structure." + }, + { + "image": "XCAD\\training\\images\\00475_44.png", + "caption": "Monochromatic X-ray image illustrating a coronary angiography with high-contrast vascular structures visible against a lower-contrast background;XCAD dataset;Centrally positioned in the image, predominantly in the upper half with slight extension towards the bottom center;Varying in size, with the primary artery displaying a larger caliber and secondary branches tapering to finer, more delicate channels;Sinuous and branching trend, with the main artery demonstrating a smooth, curvilinear path and secondary vessels showing a more complex, intertwining pattern;Homogenous, grainy grey background with minimal detail.", + "overview": "Monochromatic X-ray image illustrating a coronary angiography with high-contrast vascular structures visible against a lower-contrast background;", + "dataset": "XCAD dataset;", + "location": "Centrally positioned in the image, predominantly in the upper half with slight extension towards the bottom center;", + "size": "Varying in size, with the primary artery displaying a larger caliber and secondary branches tapering to finer, more delicate channels;", + "trend_shape": "Sinuous and branching trend, with the main artery demonstrating a smooth, curvilinear path and secondary vessels showing a more complex, intertwining pattern;", + "background": "Homogenous, grainy grey background with minimal detail." + }, + { + "image": "XCAD\\training\\images\\00570_24.png", + "caption": "Monochrome X-ray image showing contrast-filled structures against a translucent backdrop;XCAD dataset;Coronary angiography prominently featured in the center of the image;Vessel diameters appear to range from small to medium, with larger vessels branching into smaller ones;The coronary angiography depicts a complex network of curving and branching vessels, with some exhibiting smooth curvature while others present with varying degrees of tortuosity;Grainy greyscale background with no distinguishable secondary features.", + "overview": "Monochrome X-ray image showing contrast-filled structures against a translucent backdrop;", + "dataset": "XCAD dataset;", + "location": "Coronary angiography prominently featured in the center of the image;", + "size": "Vessel diameters appear to range from small to medium, with larger vessels branching into smaller ones;", + "trend_shape": "The coronary angiography depicts a complex network of curving and branching vessels, with some exhibiting smooth curvature while others present with varying degrees of tortuosity;", + "background": "Grainy greyscale background with no distinguishable secondary features." + }, + { + "image": "XCAD\\training\\images\\00593_31.png", + "caption": "Monochromatic X-ray image displaying a network of curvilinear structures resembling vascular anatomy;XCAD dataset;Coronary angiography is centrally located and extends towards the bottom right corner;The coronary angiography has varying sizes, with the main artery appearing prominent and secondary branches tapering off to finer vessels;The main artery follows a serpentine trend with gradual curves while the branches display diverse curvilinear shapes, ranging from elongated loops to acute bends;Homogeneous grey background with subtle variations indicative of soft tissues and overlying anatomical structures.", + "overview": "Monochromatic X-ray image displaying a network of curvilinear structures resembling vascular anatomy;", + "dataset": "XCAD dataset;", + "location": "Coronary angiography is centrally located and extends towards the bottom right corner;", + "size": "The coronary angiography has varying sizes, with the main artery appearing prominent and secondary branches tapering off to finer vessels;", + "trend_shape": "The main artery follows a serpentine trend with gradual curves while the branches display diverse curvilinear shapes, ranging from elongated loops to acute bends;", + "background": "Homogeneous grey background with subtle variations indicative of soft tissues and overlying anatomical structures." + }, + { + "image": "XCAD\\training\\images\\00595_47.png", + "caption": "Monochrome X-ray image showing contrast-filled curvilinear structures against a mottled background; 2. XCAD dataset; 3. Coronary angiography is centralized within the image, predominantly occupying the middle third both horizontally and vertically; 4. The coronary angiography outlines range from fine thread-like appearances to broader curvilinear structures, with widths varying from a few millimeters up to approximately a centimeter; 5. The coronary angiography demonstrates sinuous curves with smooth contours, exhibiting branching patterns and looping formations suggestive of blood vessels in a cardiac context; 6. Uneven, grainy texture with shades of grey, without any distinct features.", + "overview": "Monochrome X-ray image showing contrast-filled curvilinear structures against a mottled background; 2. XCAD dataset; 3. Coronary angiography is centralized within the image, predominantly occupying the middle third both horizontally and vertically; 4. The coronary angiography outlines range from fine thread-like appearances to broader curvilinear structures, with widths varying from a few millimeters up to approximately a centimeter; 5. The coronary angiography demonstrates sinuous curves with smooth contours, exhibiting branching patterns and looping formations suggestive of blood vessels in a cardiac context; 6. Uneven, grainy texture with shades of grey, without any distinct features." + }, + { + "image": "XCAD\\training\\images\\00631_35.png", + "caption": "Monochromatic X-ray image of coronary arteries with high contrast between the vessels and background;XCAD dataset;The coronary angiography is centrally located, predominantly in the middle third of the image, displaying a branching pattern from a central trunk resembling a tree;The size of the coronary angiography is large in the context of the image, with the main artery appearing prominent and the branching vessels varying from medium to fine calibers;The trend of the coronary angiography is a top-to-bottom flow direction with a complex serpentine shape comprising multiple curvilinear branches that bifurcate and taper towards the periphery;The background is uniformly dark and featureless.", + "overview": "Monochromatic X-ray image of coronary arteries with high contrast between the vessels and background;", + "dataset": "XCAD dataset;", + "location": "The coronary angiography is centrally located, predominantly in the middle third of the image, displaying a branching pattern from a central trunk resembling a tree;", + "size": "The size of the coronary angiography is large in the context of the image, with the main artery appearing prominent and the branching vessels varying from medium to fine calibers;", + "trend_shape": "The trend of the coronary angiography is a top-to-bottom flow direction with a complex serpentine shape comprising multiple curvilinear branches that bifurcate and taper towards the periphery;", + "background": "The background is uniformly dark and featureless." + }, + { + "image": "XCAD\\training\\images\\00653_17.png", + "caption": "Monochromatic X-ray image displaying high-contrast vascular structures against a faint anatomical backdrop.XCAD dataset.The coronary angiography is located prominently in the central and left regions of the image, with the main artery visible from the top center, branching downwards.The coronary angiography spans a substantial portion of the image, with varying vessel diameters ranging from larger central conduits to finer peripheral branches.The trend of the coronary angiography shows a main artery bifurcating into several smaller branches, exhibiting a mix of smooth and sinuous shapes with some curvatures and looped segments, indicative of the arterial branching pattern of the heart.Overlaid on a diffuse shadowy representation of thoracic structures.", + "overview": "Monochromatic X-ray image displaying high-contrast vascular structures against a faint anatomical backdrop.", + "dataset": "XCAD dataset.", + "location": "The coronary angiography is located prominently in the central and left regions of the image, with the main artery visible from the top center, branching downwards.", + "size": "The coronary angiography spans a substantial portion of the image, with varying vessel diameters ranging from larger central conduits to finer peripheral branches.", + "trend_shape": "The trend of the coronary angiography shows a main artery bifurcating into several smaller branches, exhibiting a mix of smooth and sinuous shapes with some curvatures and looped segments, indicative of the arterial branching pattern of the heart.", + "background": "Overlaid on a diffuse shadowy representation of thoracic structures." + }, + { + "image": "XCAD\\training\\images\\00763_27.png", + "caption": "Monochromatic X-ray image displaying contrast-filled curvilinear structures against a dark background;XCAD dataset;The coronary angiography is positioned centrally within the image frame showing a branching pattern from the center towards the periphery;The coronary angiography structures vary in size, with a central vessel diameter that appears to be around 3-5 mm, tapering to finer branches less than 1 mm;The coronary arteries exhibit a tortuous path with smooth, flowing curves and multiple bifurcations, forming an arborized pattern typical of coronary vasculature;Homogeneous, dark gray background with subtle textural variations consistent with soft tissue density on radiographic film.", + "overview": "Monochromatic X-ray image displaying contrast-filled curvilinear structures against a dark background;", + "dataset": "XCAD dataset;", + "location": "The coronary angiography is positioned centrally within the image frame showing a branching pattern from the center towards the periphery;", + "size": "The coronary angiography structures vary in size, with a central vessel diameter that appears to be around 3-5 mm, tapering to finer branches less than 1 mm;", + "trend_shape": "The coronary arteries exhibit a tortuous path with smooth, flowing curves and multiple bifurcations, forming an arborized pattern typical of coronary vasculature;", + "background": "Homogeneous, dark gray background with subtle textural variations consistent with soft tissue density on radiographic film." + }, + { + "image": "XCAD\\training\\images\\00907_43.png", + "caption": "Monochromatic X-ray image showing internal anatomical structures with high contrast between dense and less dense areas; 2. XCAD dataset; 3. The coronary angiography is centrally located and is most prominent in the central half of the image, radiating outward from the center; 4. The coronary angiography extends across the majority of the image, with the vessels varying in size from thin hair-like strands to thicker tube-like structures; 5. The angiography shows a complex network of interwoven, curvilinear vessels with a mix of smooth curves and bifurcating branches, exhibiting both gentle undulations and more acute curvatures; 6. The background is uniformly dark with gradients of gray, highlighting the vascular structures without additional discernible detail.", + "overview": "Monochromatic X-ray image showing internal anatomical structures with high contrast between dense and less dense areas; 2. XCAD dataset; 3. The coronary angiography is centrally located and is most prominent in the central half of the image, radiating outward from the center; 4. The coronary angiography extends across the majority of the image, with the vessels varying in size from thin hair-like strands to thicker tube-like structures; 5. The angiography shows a complex network of interwoven, curvilinear vessels with a mix of smooth curves and bifurcating branches, exhibiting both gentle undulations and more acute curvatures; 6. The background is uniformly dark with gradients of gray, highlighting the vascular structures without additional discernible detail." + }, + { + "image": "XCAD\\training\\images\\01130_36.png", + "caption": "X-ray coronary angiography showing contrast-filled vessels amidst surrounding anatomical structures;XCAD dataset;The coronary angiography is centrally located within the image, highlighting the intricate arterial tree;The coronary angiography depicts vessels of varying sizes, with some arteries displaying diameters less than 2 mm, and larger arterial segments appearing up to approximately 4 mm in diameter;The coronary arteries exhibit a serpentine and branching trend with a mix of smooth and tortuous shapes, forming complex curvilinear patterns as they bifurcate and traverse the cardiac silhouette;Uniform grayscale background with soft tissue densities and cardiac silhouette visible.", + "overview": "X-ray coronary angiography showing contrast-filled vessels amidst surrounding anatomical structures;", + "dataset": "XCAD dataset;", + "location": "The coronary angiography is centrally located within the image, highlighting the intricate arterial tree;", + "size": "The coronary angiography depicts vessels of varying sizes, with some arteries displaying diameters less than 2 mm, and larger arterial segments appearing up to approximately 4 mm in diameter;", + "trend_shape": "The coronary arteries exhibit a serpentine and branching trend with a mix of smooth and tortuous shapes, forming complex curvilinear patterns as they bifurcate and traverse the cardiac silhouette;", + "background": "Uniform grayscale background with soft tissue densities and cardiac silhouette visible." + }, + { + "image": "XCAD\\training\\images\\01169_25.png", + "caption": "Monochromatic image displaying high-contrast curvilinear structures against a gray background; 2. XCAD dataset; 3. Curvilinear structure centrally located, slightly skewed to the right; 4. Variable caliber ranging from fine to moderately thick, occupying a large portion of the image; 5. Sinuous and branching pattern, with smooth curves and bifurcations, predominantly vertical orientation with some horizontal offshoots; 6. Homogeneous gray tone with subtle textural variations.", + "overview": "Monochromatic image displaying high-contrast curvilinear structures against a gray background; 2. XCAD dataset; 3. Curvilinear structure centrally located, slightly skewed to the right; 4. Variable caliber ranging from fine to moderately thick, occupying a large portion of the image; 5. Sinuous and branching pattern, with smooth curves and bifurcations, predominantly vertical orientation with some horizontal offshoots; 6. Homogeneous gray tone with subtle textural variations." + }, + { + "image": "XCAD\\training\\images\\01759_32.png", + "caption": "Monochrome X-ray image depicting a network of curvilinear structures typical of blood vessels; 2. XCAD dataset; 3. The coronary angiography centrally located, predominantly in the upper half of the image; 4. Variable size with main vessels being several millimeters in diameter, branching into smaller vessels down to sub-millimeter diameters; 5. Arteries display a branching, tree-like structure, with curvilinear paths that taper and curve in various directions; some segments show smooth, uninterrupted flow, whereas others exhibit more complex curves and bifurcations, suggesting a three-dimensional topology; 6. Uniform, grainy grey background with no distinguishing features.", + "overview": "Monochrome X-ray image depicting a network of curvilinear structures typical of blood vessels; 2. XCAD dataset; 3. The coronary angiography centrally located, predominantly in the upper half of the image; 4. Variable size with main vessels being several millimeters in diameter, branching into smaller vessels down to sub-millimeter diameters; 5. Arteries display a branching, tree-like structure, with curvilinear paths that taper and curve in various directions; some segments show smooth, uninterrupted flow, whereas others exhibit more complex curves and bifurcations, suggesting a three-dimensional topology; 6. Uniform, grainy grey background with no distinguishing features." + }, + { + "image": "XCAD\\training\\images\\01965_47.png", + "caption": "Black and white X-ray image displaying contrast-filled vascular structures; 2. XCAD dataset; 3. The coronary angiography is predominantly visible in the central region extending towards the upper left quadrant of the image; 4. Variable size, with some sections appearing wider and others more narrow, suggesting differing vessel calibers; 5. The trend of the coronary angiography is tortuous with multiple curvilinear paths, some forming arcuate and looped configurations, indicative of the intricate branching of the coronary arteries; 6. The background is uniform and featureless, providing a clear contrast to the vascular structures.", + "overview": "Black and white X-ray image displaying contrast-filled vascular structures; 2. XCAD dataset; 3. The coronary angiography is predominantly visible in the central region extending towards the upper left quadrant of the image; 4. Variable size, with some sections appearing wider and others more narrow, suggesting differing vessel calibers; 5. The trend of the coronary angiography is tortuous with multiple curvilinear paths, some forming arcuate and looped configurations, indicative of the intricate branching of the coronary arteries; 6. The background is uniform and featureless, providing a clear contrast to the vascular structures." + }, + { + "image": "XCAD\\training\\images\\02006_34.png", + "caption": "Monochrome X-ray image displaying contrast-enhanced arterial structures;XCAD dataset;Coronary angiography is centrally located, depicting the heart's arterial system;The coronary angiography takes up a large portion of the image, with arteries varying from thin to moderately thick;The angiography shows multiple curving structures predominantly in a right-dominant coronary system with the arteries winding in a natural and sinuous pattern, having both sharply curved segments and smoother, elongated curves;The background is uniformly dark and featureless, enhancing the visibility of the angiography.", + "overview": "Monochrome X-ray image displaying contrast-enhanced arterial structures;", + "dataset": "XCAD dataset;", + "location": "Coronary angiography is centrally located, depicting the heart's arterial system;", + "size": "The coronary angiography takes up a large portion of the image, with arteries varying from thin to moderately thick;", + "trend_shape": "The angiography shows multiple curving structures predominantly in a right-dominant coronary system with the arteries winding in a natural and sinuous pattern, having both sharply curved segments and smoother, elongated curves;", + "background": "The background is uniformly dark and featureless, enhancing the visibility of the angiography." + }, + { + "image": "XCAD\\training\\images\\02020_31.png", + "caption": "Monochromatic X-ray image displaying contrast-enhanced coronary arteries.XCAD dataset.The coronary angiography is centrally located in the image, depicting a heart's vascular structure.The angiography shows vessels of varying sizes, with the main artery being prominent and secondary branching less pronounced.The angiography reveals a curvilinear structure with a smooth trend; primary artery traces a gentle, undulating curve, tapering off into smaller, irregularly branched vessels.The background is a uniform, translucent grayscale field with subtle variations in density suggesting overlapping anatomic structures.", + "overview": "Monochromatic X-ray image displaying contrast-enhanced coronary arteries.", + "dataset": "XCAD dataset.", + "location": "The coronary angiography is centrally located in the image, depicting a heart's vascular structure.", + "size": "The angiography shows vessels of varying sizes, with the main artery being prominent and secondary branching less pronounced.", + "trend_shape": "The angiography reveals a curvilinear structure with a smooth trend; primary artery traces a gentle, undulating curve, tapering off into smaller, irregularly branched vessels.", + "background": "The background is a uniform, translucent grayscale field with subtle variations in density suggesting overlapping anatomic structures." + }, + { + "image": "XCAD\\training\\images\\02208_30.png", + "caption": "Monochrome X-ray image depicting contrast-enhanced coronary arteries; 2. XCAD dataset; 3. Central right half of the image, oriented diagonally from the top left corner to the bottom right; 4. Major vessels vary approximately from 2mm to 4mm in width; 5. Main artery prominently visible with several curvilinear branches, presenting a complex, arborescent structure with smooth, tapered ends, and some bifurcations; 6. Uniform, grainy background with soft tissue shadows.", + "overview": "Monochrome X-ray image depicting contrast-enhanced coronary arteries; 2. XCAD dataset; 3. Central right half of the image, oriented diagonally from the top left corner to the bottom right; 4. Major vessels vary approximately from 2mm to 4mm in width; 5. Main artery prominently visible with several curvilinear branches, presenting a complex, arborescent structure with smooth, tapered ends, and some bifurcations; 6. Uniform, grainy background with soft tissue shadows." + }, + { + "image": "XCAD\\training\\images\\02961_51.png", + "caption": "Monochrome X-ray image capturing cardiovascular structures with contrast.XCAD dataset.Coronary angiography is centered, occupying the majority of the image vertically, and is slightly offset to the left.The size ranges from very fine lines to broader curvilinear structures.The coronary angiography shows a branching pattern with primary vessels approximately 2-4 mm in diameter, with numerous secondary and tertiary branches that taper as they extend outward; the vessel paths are sinuous and display both smooth and sharp curvatures.The background features subtle anatomical shadows and gradients without distinguishable details.", + "overview": "Monochrome X-ray image capturing cardiovascular structures with contrast.", + "dataset": "XCAD dataset.", + "location": "Coronary angiography is centered, occupying the majority of the image vertically, and is slightly offset to the left.", + "size": "The size ranges from very fine lines to broader curvilinear structures.", + "trend_shape": "The coronary angiography shows a branching pattern with primary vessels approximately 2-4 mm in diameter, with numerous secondary and tertiary branches that taper as they extend outward; the vessel paths are sinuous and display both smooth and sharp curvatures.", + "background": "The background features subtle anatomical shadows and gradients without distinguishable details." + }, + { + "image": "XCAD\\training\\images\\03097_27.png", + "caption": "Monochromatic X-ray image showcasing curvilinear structures;XCAD dataset;Coronary angiography is centrally located in the image with multiple branching structures originating from a common trunk;The angiography shows vessels of varying sizes, with the main artery being the largest and secondary branches tapering in size;Vessels exhibit a sinuous trend with smooth, rounded curves and bifurcations, forming an arborized pattern;Homogeneous dark background with subtle tissue shadows.", + "overview": "Monochromatic X-ray image showcasing curvilinear structures;", + "dataset": "XCAD dataset;", + "location": "Coronary angiography is centrally located in the image with multiple branching structures originating from a common trunk;", + "size": "The angiography shows vessels of varying sizes, with the main artery being the largest and secondary branches tapering in size;", + "trend_shape": "Vessels exhibit a sinuous trend with smooth, rounded curves and bifurcations, forming an arborized pattern;", + "background": "Homogeneous dark background with subtle tissue shadows." + }, + { + "image": "XCAD\\training\\images\\03099_17.png", + "caption": "Monochromatic image showing contrast-enhanced curvilinear structures, indicative of blood vessels, against a darker background; 2. XCAD dataset; 3. Coronary angiography prominently displayed in the center, extending towards all four quadrants of the image; 4. Variable vessel diameter, ranging from very fine to moderately thick as per visual scale, with the primary vessel measurable in millimeters; 5. The primary vessel trends from the upper left quadrant, curving downward and then up to the center right, branching into finer vessels with both smooth and tortuous segments, and looped configurations suggestive of arterial bifurcations; 6. Dark and homogeneous with minimal extraneous detail.", + "overview": "Monochromatic image showing contrast-enhanced curvilinear structures, indicative of blood vessels, against a darker background; 2. XCAD dataset; 3. Coronary angiography prominently displayed in the center, extending towards all four quadrants of the image; 4. Variable vessel diameter, ranging from very fine to moderately thick as per visual scale, with the primary vessel measurable in millimeters; 5. The primary vessel trends from the upper left quadrant, curving downward and then up to the center right, branching into finer vessels with both smooth and tortuous segments, and looped configurations suggestive of arterial bifurcations; 6. Dark and homogeneous with minimal extraneous detail." + }, + { + "image": "XCAD\\training\\images\\03341_26.png", + "caption": "Monochrome X-ray image showcasing a network of curvilinear structures;XCAD dataset;Centered in the image, predominantly occupying the middle third both horizontally and vertically;Variable in size, with the main structures approximately 2-3 mm in width, branching into finer structures;Curvilinear branching patterns extending radially and curving smoothly with tapering towards the periphery;Low-contrast, grainy background with indistinct features.", + "overview": "Monochrome X-ray image showcasing a network of curvilinear structures;", + "dataset": "XCAD dataset;", + "location": "Centered in the image, predominantly occupying the middle third both horizontally and vertically;", + "size": "Variable in size, with the main structures approximately 2-3 mm in width, branching into finer structures;", + "trend_shape": "Curvilinear branching patterns extending radially and curving smoothly with tapering towards the periphery;", + "background": "Low-contrast, grainy background with indistinct features." + }, + { + "image": "XCAD\\training\\images\\03397_42.png", + "caption": "Monochromatic X-ray image displaying contrast-filled vascular structures with varying degrees of brightness and contrast;XCAD dataset;The coronary angiography is predominantly located in the central and left portions of the image with several branching vessels extending outward;Multiple vessels are depicted with variable sizes, ranging from fine, thread-like structures to broader, more prominent channels;The vascular structures show tortuous, serpentine patterns with loops and curves demonstrating a complex, branching arborization; some segments appear more linear while others exhibit pronounced curvature and bifurcations;The background is uniform and non-distracting with a grainy texture consistent with soft-tissue imaging on X-ray.", + "overview": "Monochromatic X-ray image displaying contrast-filled vascular structures with varying degrees of brightness and contrast;", + "dataset": "XCAD dataset;", + "location": "The coronary angiography is predominantly located in the central and left portions of the image with several branching vessels extending outward;", + "size": "Multiple vessels are depicted with variable sizes, ranging from fine, thread-like structures to broader, more prominent channels;", + "trend_shape": "The vascular structures show tortuous, serpentine patterns with loops and curves demonstrating a complex, branching arborization; some segments appear more linear while others exhibit pronounced curvature and bifurcations;", + "background": "The background is uniform and non-distracting with a grainy texture consistent with soft-tissue imaging on X-ray." + }, + { + "image": "XCAD\\training\\images\\03580_27.png", + "caption": "Monochrome X-ray image displaying a network of curvilinear structures; 2. XCAD dataset; 3. Coronary angiography prominently located in the center and right-hand side of the image; 4. Variable size with main arteries being approximately a few millimeters in diameter; 5. Main coronary artery branches exhibit a tortuous path with both smooth and curvilinear trajectories, bifurcating and diminishing in caliber distally; 6. Homogeneous, dark gray background with subtle variations and artifacts.", + "overview": "Monochrome X-ray image displaying a network of curvilinear structures; 2. XCAD dataset; 3. Coronary angiography prominently located in the center and right-hand side of the image; 4. Variable size with main arteries being approximately a few millimeters in diameter; 5. Main coronary artery branches exhibit a tortuous path with both smooth and curvilinear trajectories, bifurcating and diminishing in caliber distally; 6. Homogeneous, dark gray background with subtle variations and artifacts." + }, + { + "image": "XCAD\\training\\images\\03744_38.png", + "caption": "X-ray image of coronary angiography displaying contrast-filled blood vessels within the heart; 2. XCAD dataset; 3. The coronary angiography is centered with vessels spreading towards the top and bottom of the image; 4. Size varies with main vessels being prominent and secondary branches finer; 5. Tortuous curvilinear shapes with branching pattern, contrasting sharply against surrounding tissues; 6. Homogeneous grey background with low contrast details of non-vascular thoracic structures.", + "overview": "X-ray image of coronary angiography displaying contrast-filled blood vessels within the heart; 2. XCAD dataset; 3. The coronary angiography is centered with vessels spreading towards the top and bottom of the image; 4. Size varies with main vessels being prominent and secondary branches finer; 5. Tortuous curvilinear shapes with branching pattern, contrasting sharply against surrounding tissues; 6. Homogeneous grey background with low contrast details of non-vascular thoracic structures." + }, + { + "image": "XCAD\\training\\images\\04552_31.png", + "caption": "Monochromatic X-ray image showcasing contrast-enhanced coronary arteries; 2. XCAD dataset; 3. Coronary angiography prominently visible from the center extending to the top right and lower right corners of the image; 4. Variable vessel size with main branches approximately 2-4 mm in diameter; 5. The coronary angiography displays a branching, sinuous pattern with curved trajectories and several bifurcations; 6. The background is homogeneously dark with minor variations and spots of contrast mediumdispersion.", + "overview": "Monochromatic X-ray image showcasing contrast-enhanced coronary arteries; 2. XCAD dataset; 3. Coronary angiography prominently visible from the center extending to the top right and lower right corners of the image; 4. Variable vessel size with main branches approximately 2-4 mm in diameter; 5. The coronary angiography displays a branching, sinuous pattern with curved trajectories and several bifurcations; 6. The background is homogeneously dark with minor variations and spots of contrast mediumdispersion." + }, + { + "image": "XCAD\\training\\images\\04911_18.png", + "caption": "Monochromatic X-ray image displaying contrast-enhanced arterial structures;XCAD dataset;Coronary angiography prominent in the central region extending to the upper left quadrant of the image;Variable luminal diameter: proximal segments are wider, distal segments taper off; estimated size ranges from 2-5 mm in width;Tortuous, branching pattern with a mix of smooth and irregular contours, predominantly curvilinear with some bifurcations and acute angles;Heterogeneous grayscale background with soft tissue densities and faint opacities.", + "overview": "Monochromatic X-ray image displaying contrast-enhanced arterial structures;", + "dataset": "XCAD dataset;", + "location": "Coronary angiography prominent in the central region extending to the upper left quadrant of the image;", + "size": "Variable luminal diameter: proximal segments are wider, distal segments taper off; estimated size ranges from 2-5 mm in width;", + "trend_shape": "Tortuous, branching pattern with a mix of smooth and irregular contours, predominantly curvilinear with some bifurcations and acute angles;", + "background": "Heterogeneous grayscale background with soft tissue densities and faint opacities." + }, + { + "image": "XCAD\\training\\images\\05071_11.png", + "caption": "Monochromatic X-ray image displaying contrast-filled curvilinear structures.XCAD dataset.The coronary angiography is predominantly located in the central portion of the image, with major branches extending towards the upper and right sections.The coronary angiography presents variably in size, with the main artery being robust at the root and tapering off into finer branches.The angiography reveals a convoluted trend with a sinuous shape, demonstrating multiple curved segments and bifurcations leading to smaller, intricate vessels.Uniform, grayscale background with no distinguishable features.", + "overview": "Monochromatic X-ray image displaying contrast-filled curvilinear structures.", + "dataset": "XCAD dataset.", + "location": "The coronary angiography is predominantly located in the central portion of the image, with major branches extending towards the upper and right sections.", + "size": "The coronary angiography presents variably in size, with the main artery being robust at the root and tapering off into finer branches.", + "trend_shape": "The angiography reveals a convoluted trend with a sinuous shape, demonstrating multiple curved segments and bifurcations leading to smaller, intricate vessels.", + "background": "Uniform, grayscale background with no distinguishable features." + }, + { + "image": "XCAD\\training\\images\\05143_11.png", + "caption": "Monochromatic X-ray image displaying high-contrast curvilinear structures against a darker background, indicative of blood vessels filled with radiopaque dye; 2. XCAD dataset; 3. Central portion, extending from the middle-left border towards the upper-right corner; 4. Variable width, ranging from faint, almost hair-like filaments to thicker, tube-like structures; 5. Mainly sinuous with several branching points, curves are both smooth and pointed, forming c-shaped and s-shaped patterns, with some vessels forming almost complete loops; 6. Uniform, grainy texture with no distinct landmarks or features aside from the vasculature.", + "overview": "Monochromatic X-ray image displaying high-contrast curvilinear structures against a darker background, indicative of blood vessels filled with radiopaque dye; 2. XCAD dataset; 3. Central portion, extending from the middle-left border towards the upper-right corner; 4. Variable width, ranging from faint, almost hair-like filaments to thicker, tube-like structures; 5. Mainly sinuous with several branching points, curves are both smooth and pointed, forming c-shaped and s-shaped patterns, with some vessels forming almost complete loops; 6. Uniform, grainy texture with no distinct landmarks or features aside from the vasculature." + }, + { + "image": "XCAD\\training\\images\\05470_45.png", + "caption": "Monochromatic, grainy image showing contrast-filled vascular structures against a less dense background;XCAD dataset;The coronary angiography is predominantly located in the central and left portions of the image, with some vessels extending towards the bottom right corner;Variable vessel size with main branches appearing robust near the origin point and tapering as they extend peripherally;Complex, curvilinear branching pattern with smooth curves and bifurcations, the main vessel courses diagonally down from top left to bottom right, secondary branches radiate outward displaying tortuosity and diminishing caliber with distance from the main vessel;Background is nondescript, lacking distinct features, providing contrast to the highlighted vascular structures.", + "overview": "Monochromatic, grainy image showing contrast-filled vascular structures against a less dense background;", + "dataset": "XCAD dataset;", + "location": "The coronary angiography is predominantly located in the central and left portions of the image, with some vessels extending towards the bottom right corner;", + "size": "Variable vessel size with main branches appearing robust near the origin point and tapering as they extend peripherally;", + "trend_shape": "Complex, curvilinear branching pattern with smooth curves and bifurcations, the main vessel courses diagonally down from top left to bottom right, secondary branches radiate outward displaying tortuosity and diminishing caliber with distance from the main vessel;", + "background": "Background is nondescript, lacking distinct features, providing contrast to the highlighted vascular structures." + }, + { + "image": "XCAD\\training\\images\\05789_28.png", + "caption": "Monochromatic X-ray image featuring high-contrast, curvilinear structures against a darker background, with visible catheters and skeletal structures;XCAD dataset;Middle to upper region, slightly right of center;Variable size with the main vessel being relatively broad and tapering into finer branches;The coronary angiography shows a sinuous pattern with smooth curving lines and loops, displaying both curvilinear and serpentine characteristics;Homogeneous, dark gray scale with minimal artifacts.", + "overview": "Monochromatic X-ray image featuring high-contrast, curvilinear structures against a darker background, with visible catheters and skeletal structures;", + "dataset": "XCAD dataset;", + "location": "Middle to upper region, slightly right of center;", + "size": "Variable size with the main vessel being relatively broad and tapering into finer branches;", + "trend_shape": "The coronary angiography shows a sinuous pattern with smooth curving lines and loops, displaying both curvilinear and serpentine characteristics;", + "background": "Homogeneous, dark gray scale with minimal artifacts." + }, + { + "image": "XCAD\\training\\images\\05992_37.png", + "caption": "Monochromatic X-ray image showing high-contrast branching structures; 2. XCAD dataset; 3. Coronary angiography is centrally located within the image, predominantly occupying the middle third of the frame, with some branching structures extending towards the periphery; 4. The angiography is composed of fine and medium-sized linear structures varying from 1 to 3 mm in apparent width; 5. Curvilinear, serpentine structures with both smooth and irregular contours, exhibiting tortuosity and delineating multiple bifurcations, extend in various directions; 6. Homogeneous and grainy background with indistinct, shadowy anatomical features.", + "overview": "Monochromatic X-ray image showing high-contrast branching structures; 2. XCAD dataset; 3. Coronary angiography is centrally located within the image, predominantly occupying the middle third of the frame, with some branching structures extending towards the periphery; 4. The angiography is composed of fine and medium-sized linear structures varying from 1 to 3 mm in apparent width; 5. Curvilinear, serpentine structures with both smooth and irregular contours, exhibiting tortuosity and delineating multiple bifurcations, extend in various directions; 6. Homogeneous and grainy background with indistinct, shadowy anatomical features." + }, + { + "image": "XCAD\\training\\images\\06027_24.png", + "caption": "Monochromatic X-ray image showcasing contrast-enhanced curvilinear structures indicative of coronary arteries, with a portion of a catheter visible;XCAD dataset;Coronary angiography centrally located, occupying the majority of the image with prominence in the upper half;The angiography depicts vessels of varying diameters, approximately ranging from 1 to 4 millimeters as typical for coronary arteries;Curvilinear structures showcase a smooth course with serpentine-like, branching pattern typical of coronary vasculature, including both broad arcs and tighter curves;Uniform, dark gray background with subtle gradations and anatomical shadows.", + "overview": "Monochromatic X-ray image showcasing contrast-enhanced curvilinear structures indicative of coronary arteries, with a portion of a catheter visible;", + "dataset": "XCAD dataset;", + "location": "Coronary angiography centrally located, occupying the majority of the image with prominence in the upper half;", + "size": "The angiography depicts vessels of varying diameters, approximately ranging from 1 to 4 millimeters as typical for coronary arteries;", + "trend_shape": "Curvilinear structures showcase a smooth course with serpentine-like, branching pattern typical of coronary vasculature, including both broad arcs and tighter curves;", + "background": "Uniform, dark gray background with subtle gradations and anatomical shadows." + }, + { + "image": "XCAD\\training\\images\\06353_25.png", + "caption": "Monochromatic X-ray image showing contrast-enhanced arterial structures; 2. XCAD dataset; 3. Central to the image, originating from the upper left corner and extending towards the lower right corner; 4. Variable size with main vessels appearing wider at the origin, tapering into finer branches; 5. Curvilinear structures with a serpentine-like trend displaying multiple branching points and curvatures, indicative of a complex vascular network; 6. Homogeneous greyscale background with superimposed gridlines and soft tissue shadows.", + "overview": "Monochromatic X-ray image showing contrast-enhanced arterial structures; 2. XCAD dataset; 3. Central to the image, originating from the upper left corner and extending towards the lower right corner; 4. Variable size with main vessels appearing wider at the origin, tapering into finer branches; 5. Curvilinear structures with a serpentine-like trend displaying multiple branching points and curvatures, indicative of a complex vascular network; 6. Homogeneous greyscale background with superimposed gridlines and soft tissue shadows." + }, + { + "image": "XCAD\\training\\images\\06871_20.png", + "caption": "Monochromatic X-ray image showing contrast-filled blood vessels; 2. XCAD dataset; 3. Central to right portion of the image, diagonally oriented; 4. Varying diameter, major vessels approximately 2-4mm visible; 5. Arteries exhibit tortuous paths with smooth, curvilinear profiles, branching patterns visible; 6. Low-contrast, grainy background with no distinct features.", + "overview": "Monochromatic X-ray image showing contrast-filled blood vessels; 2. XCAD dataset; 3. Central to right portion of the image, diagonally oriented; 4. Varying diameter, major vessels approximately 2-4mm visible; 5. Arteries exhibit tortuous paths with smooth, curvilinear profiles, branching patterns visible; 6. Low-contrast, grainy background with no distinct features." + }, + { + "image": "XCAD\\training\\images\\07670_39.png", + "caption": "Monochrome X-ray image capturing coronary arteries with high contrast against a faded background;XCAD dataset;Coronary angiography prominently displayed in the center, branching upwards and laterally;Main artery width varies, appearing thicker in proximal areas near the point of branching and tapering as it extends; side branches are thinner and more delicate in appearance;The main coronary artery follows a sinuous, sweeping curve, with secondary branches displaying intricate, twisting paths and some acute angulations;Homogeneous, dark background providing contrast for the vascular structures.", + "overview": "Monochrome X-ray image capturing coronary arteries with high contrast against a faded background;", + "dataset": "XCAD dataset;", + "location": "Coronary angiography prominently displayed in the center, branching upwards and laterally;", + "size": "Main artery width varies, appearing thicker in proximal areas near the point of branching and tapering as it extends; side branches are thinner and more delicate in appearance;", + "trend_shape": "The main coronary artery follows a sinuous, sweeping curve, with secondary branches displaying intricate, twisting paths and some acute angulations;", + "background": "Homogeneous, dark background providing contrast for the vascular structures." + }, + { + "image": "XCAD\\training\\images\\08083_20.png", + "caption": "Monochromatic X-ray image showcasing vascular structures with medical instrumentation present;XCAD dataset;Coronary angiography centered in the upper half of the image with the catheter entering from the top;Vessels vary in size with the main artery being approximately one-fourth of the width of the image, and branching vessels reducing in size proportionally;The main coronary artery appears sinuous with bifurcating branches curving throughout the image space, following a generally vertical trend with multiple curvilinear pathways;The background is uniformly dark with gradients of gray, typical of X-ray imaging.", + "overview": "Monochromatic X-ray image showcasing vascular structures with medical instrumentation present;", + "dataset": "XCAD dataset;", + "location": "Coronary angiography centered in the upper half of the image with the catheter entering from the top;", + "size": "Vessels vary in size with the main artery being approximately one-fourth of the width of the image, and branching vessels reducing in size proportionally;", + "trend_shape": "The main coronary artery appears sinuous with bifurcating branches curving throughout the image space, following a generally vertical trend with multiple curvilinear pathways;", + "background": "The background is uniformly dark with gradients of gray, typical of X-ray imaging." + }, + { + "image": "XCAD\\training\\images\\08157_24.png", + "caption": "Monochrome X-ray image displaying contrast-filled vascular structures; 2. XCAD dataset; 3. Coronary angiography prominently visible in the center, extending towards the upper left quadrant; 4. Variable vessel diameter, with main coronary artery approximately 2-4 millimeters in width with smaller branching vessels; 5. Vessels display a sinuous and branching pattern, primary vessel with a smooth curvilinear trajectory, secondary branches tapering and curling; 6. Homogeneous grayscaled background with soft tissue shadows.", + "overview": "Monochrome X-ray image displaying contrast-filled vascular structures; 2. XCAD dataset; 3. Coronary angiography prominently visible in the center, extending towards the upper left quadrant; 4. Variable vessel diameter, with main coronary artery approximately 2-4 millimeters in width with smaller branching vessels; 5. Vessels display a sinuous and branching pattern, primary vessel with a smooth curvilinear trajectory, secondary branches tapering and curling; 6. Homogeneous grayscaled background with soft tissue shadows." + }, + { + "image": "XCAD\\training\\images\\08449_36.png", + "caption": "X-ray coronary angiography image displaying curvilinear arterial structures within a heart silhouette;XCAD dataset;Coronary angiography is prominently visible in the central region, with the main structures evident towards the upper left quadrant of the image, extending diagonally towards the bottom right;The angiography depicts arteries of various calibers, ranging from large primary branches to finer secondary and tertiary branches;The primary artery has a sinuous trend, curving sharply while the secondary branches depict a more fragmented and tortuous shape with varying curvatures;The background is a uniform, grainy, and low-contrast field, typical for X-ray images, with some vertical and horizontal artifact lines.", + "overview": "X-ray coronary angiography image displaying curvilinear arterial structures within a heart silhouette;", + "dataset": "XCAD dataset;", + "location": "Coronary angiography is prominently visible in the central region, with the main structures evident towards the upper left quadrant of the image, extending diagonally towards the bottom right;", + "size": "The angiography depicts arteries of various calibers, ranging from large primary branches to finer secondary and tertiary branches;", + "trend_shape": "The primary artery has a sinuous trend, curving sharply while the secondary branches depict a more fragmented and tortuous shape with varying curvatures;", + "background": "The background is a uniform, grainy, and low-contrast field, typical for X-ray images, with some vertical and horizontal artifact lines." + }, + { + "image": "XCAD\\training\\images\\09691_30.png", + "caption": "Monochrome X-ray image displaying a network of curvilinear structures characteristic of arterial vasculature;XCAD dataset;The coronary angiography prominently occupies the center, slightly biased to the left side of the image, with catheter insertion visible at the top;The coronary angiography structures vary in size, with the main artery being the largest and branching into progressively thinner vessels;The coronary arteries exhibit a sinuous trend with a mixture of smooth and tapered shapes, displaying branching patterns typical of coronary vasculature;The background is uniform and dark, providing contrast for the angiography visualization.", + "overview": "Monochrome X-ray image displaying a network of curvilinear structures characteristic of arterial vasculature;", + "dataset": "XCAD dataset;", + "location": "The coronary angiography prominently occupies the center, slightly biased to the left side of the image, with catheter insertion visible at the top;", + "size": "The coronary angiography structures vary in size, with the main artery being the largest and branching into progressively thinner vessels;", + "trend_shape": "The coronary arteries exhibit a sinuous trend with a mixture of smooth and tapered shapes, displaying branching patterns typical of coronary vasculature;", + "background": "The background is uniform and dark, providing contrast for the angiography visualization." + }, + { + "image": "XCAD\\training\\images\\09790_25.png", + "caption": "Monochromatic X-ray image displaying a network of contrast-filled curvilinear structures against a grayscale background; 2. XCAD dataset; 3. Central portion of the image, radiating outward from a central region slightly left of the center; 4. The coronary angiography portrays vessels of varying diameters ranging approximately from 1 to 4 millimeters; 5. Arteries exhibit a sinuous trajectory with several curvatures and bifurcations, displaying a mix of elongated S-shaped curves and C-shaped bends; 6. Uniform, textured grayscale backdrop with soft shadows and indistinct anatomical features.", + "overview": "Monochromatic X-ray image displaying a network of contrast-filled curvilinear structures against a grayscale background; 2. XCAD dataset; 3. Central portion of the image, radiating outward from a central region slightly left of the center; 4. The coronary angiography portrays vessels of varying diameters ranging approximately from 1 to 4 millimeters; 5. Arteries exhibit a sinuous trajectory with several curvatures and bifurcations, displaying a mix of elongated S-shaped curves and C-shaped bends; 6. Uniform, textured grayscale backdrop with soft shadows and indistinct anatomical features." + }, + { + "image": "XCAD\\training\\images\\09892_30.png", + "caption": "Black and white X-ray image displaying high-contrast curvilinear structures against a largely uniform background.XCAD dataset.The coronary angiography is centrally positioned and slightly inclined to the left side of the image.The angiography shows a main vessel with branches; the main vessel is approximately one-quarter the width of the image, with branches varying in size from very fine to nearly half the width of the main vessel.The main vessel shows a curvilinear path with a mixture of smooth curves and more defined angles; the branches display a serpentine trajectory diverging from the main vessel, some with hairpin turns and acute angulations.Homogeneous gray tone with soft tissue silhouette on the lower half.", + "overview": "Black and white X-ray image displaying high-contrast curvilinear structures against a largely uniform background.", + "dataset": "XCAD dataset.", + "location": "The coronary angiography is centrally positioned and slightly inclined to the left side of the image.", + "size": "The angiography shows a main vessel with branches; the main vessel is approximately one-quarter the width of the image, with branches varying in size from very fine to nearly half the width of the main vessel.", + "trend_shape": "The main vessel shows a curvilinear path with a mixture of smooth curves and more defined angles; the branches display a serpentine trajectory diverging from the main vessel, some with hairpin turns and acute angulations.", + "background": "Homogeneous gray tone with soft tissue silhouette on the lower half." + }, + { + "image": "XCAD\\training\\images\\10538_45.png", + "caption": "Monochromatic X-ray image depicting contrast-filled coronary arteries;XCAD dataset;The coronary angiography is located in the top half of the image, with a catheter visible at the top edge inserting contrast;The coronary angiography features various arteries with diameters ranging from approximately 1 to 5 millimeters;The curvilinear objects, which are the arteries, display a tortuous pattern with an overall tortuosity, extending from the upper center towards the lower right side of the image, comprising curved segments and bifurcations;Homogeneous grey background with faint anatomical structures.", + "overview": "Monochromatic X-ray image depicting contrast-filled coronary arteries;", + "dataset": "XCAD dataset;", + "location": "The coronary angiography is located in the top half of the image, with a catheter visible at the top edge inserting contrast;", + "size": "The coronary angiography features various arteries with diameters ranging from approximately 1 to 5 millimeters;", + "trend_shape": "The curvilinear objects, which are the arteries, display a tortuous pattern with an overall tortuosity, extending from the upper center towards the lower right side of the image, comprising curved segments and bifurcations;", + "background": "Homogeneous grey background with faint anatomical structures." + }, + { + "image": "XCAD\\training\\images\\10876_24.png", + "caption": "X-ray image displaying vascular structures with high contrast against a darker background;XCAD dataset;The coronary angiography is centrally located, with arterial structures prominently displayed throughout the image;Main coronary arteries range from 2 to 4 mm in diameter with branching vessels varying in size down to sub-millimeter scale;Trend is anterograde flow visualization; the shape includes the left and right coronary arterial systems with curvilinear patterns that extend and branch throughout the cardiac silhouette; observable are the smooth contours and varying degrees of curvature along the visible vessels;Uniform, radiolucent background with slight gradient and minimal artifacts.", + "overview": "X-ray image displaying vascular structures with high contrast against a darker background;", + "dataset": "XCAD dataset;", + "location": "The coronary angiography is centrally located, with arterial structures prominently displayed throughout the image;", + "size": "Main coronary arteries range from 2 to 4 mm in diameter with branching vessels varying in size down to sub-millimeter scale;", + "trend_shape": "Trend is anterograde flow visualization; the shape includes the left and right coronary arterial systems with curvilinear patterns that extend and branch throughout the cardiac silhouette; observable are the smooth contours and varying degrees of curvature along the visible vessels;", + "background": "Uniform, radiolucent background with slight gradient and minimal artifacts." + }, + { + "image": "XCAD\\training\\images\\10923_31.png", + "caption": "Monochrome X-ray image showcasing a network of branching structures;XCAD dataset;The coronary angiography is centrally located, occupying most of the image with branching structures prominent in the center and spreading towards the edges;Variable size with the main vessel diameter roughly 2-4mm, tapering into smaller branches;Main vessels exhibit smooth, curvilinear paths with some secondary branches showing more tortuous routes and bifurcations;Homogenous gray background with soft tissue shadows.", + "overview": "Monochrome X-ray image showcasing a network of branching structures;", + "dataset": "XCAD dataset;", + "location": "The coronary angiography is centrally located, occupying most of the image with branching structures prominent in the center and spreading towards the edges;", + "size": "Variable size with the main vessel diameter roughly 2-4mm, tapering into smaller branches;", + "trend_shape": "Main vessels exhibit smooth, curvilinear paths with some secondary branches showing more tortuous routes and bifurcations;", + "background": "Homogenous gray background with soft tissue shadows." + }, + { + "image": "XCAD\\training\\images\\09990_38.png", + "caption": "Monochromatic X-ray image featuring high-contrast, curvilinear structures amidst a lower-contrast background; 2. XCAD dataset; 3. Coronary angiography is centrally located, originating at the top center and branching downwards and to the left; 4. Variable size with the main vessel being relatively wide at the origin, tapering as it extends, and branches ranging from fine to medium thickness; 5. Descending curvilinear trend with a generally sinuous shape, comprising a main trunk with multiple branching vessels exhibiting both smooth curves and sharper angles; 6. Homogenous and nondescript grey background.", + "overview": "Monochromatic X-ray image featuring high-contrast, curvilinear structures amidst a lower-contrast background; 2. XCAD dataset; 3. Coronary angiography is centrally located, originating at the top center and branching downwards and to the left; 4. Variable size with the main vessel being relatively wide at the origin, tapering as it extends, and branches ranging from fine to medium thickness; 5. Descending curvilinear trend with a generally sinuous shape, comprising a main trunk with multiple branching vessels exhibiting both smooth curves and sharper angles; 6. Homogenous and nondescript grey background." + }, + { + "image": "XCAD\\training\\images\\12128_42.png", + "caption": "Monochrome X-ray image displaying curvilinear structures and shadows indicative of anatomical features.Name of the dataset: XCAD.Location of the coronary angiography: Central to the image, prominently displayed radiopaque arterial structures with high contrast against the surrounding tissues.Size of the coronary angiography: Relative to the image, the coronary arteries appear to be moderate in size with varying diameters, as would be proportional to normal human anatomy.Trend and shape of the coronary angiography: The vessels exhibit a sinuous course with multiple curves and bifurcations, generally following a serpentine trend with both smooth and tortuous segments, indicative of coronary arteries as they traverse the heart muscle.Brief description of the background: Homogenous, grainy texture consisting of varying shades of grey, with some areas of overlying bony structures and soft tissue shadowing.", + "overview": "Monochrome X-ray image displaying curvilinear structures and shadows indicative of anatomical features.", + "dataset": "Name of the dataset: XCAD.", + "location": "Location of the coronary angiography: Central to the image, prominently displayed radiopaque arterial structures with high contrast against the surrounding tissues.", + "size": "Size of the coronary angiography: Relative to the image, the coronary arteries appear to be moderate in size with varying diameters, as would be proportional to normal human anatomy.", + "trend_shape": "Trend and shape of the coronary angiography: The vessels exhibit a sinuous course with multiple curves and bifurcations, generally following a serpentine trend with both smooth and tortuous segments, indicative of coronary arteries as they traverse the heart muscle.", + "background": "Brief description of the background: Homogenous, grainy texture consisting of varying shades of grey, with some areas of overlying bony structures and soft tissue shadowing." + }, + { + "image": "XCAD\\training\\images\\12522_29.png", + "caption": "An X-ray image displaying curvilinear contrast-enhanced structures against a gray background;XCAD dataset;The coronary angiography is centrally located within the image, occupying the top half predominantly;The coronary angiography appears as threadlike structures of varying thickness, some segments as narrow as 1-2 mm, others up to 4-5 mm;The trend of the coronary angiography is complex, with multiple curving and branching patterns, including U-shaped bends and S-shaped curves;The background is uniform and featureless, serving to highlight the angiography.", + "overview": "An X-ray image displaying curvilinear contrast-enhanced structures against a gray background;", + "dataset": "XCAD dataset;", + "location": "The coronary angiography is centrally located within the image, occupying the top half predominantly;", + "size": "The coronary angiography appears as threadlike structures of varying thickness, some segments as narrow as 1-2 mm, others up to 4-5 mm;", + "trend_shape": "The trend of the coronary angiography is complex, with multiple curving and branching patterns, including U-shaped bends and S-shaped curves;", + "background": "The background is uniform and featureless, serving to highlight the angiography." + }, + { + "image": "XCAD\\training\\images\\12568_21.png", + "caption": "Black and white X-ray image displaying the internal anatomy of a heart with visible blood vessels; 2. XCAD dataset; 3. The coronary angiography is predominantly visible in the center extending to the left of the image; 4. The blood vessels range from slender to moderately thick, with the width varying along their lengths; 5. The angiography shows a complex network of curvilinear structures that branch and curve in multiple directions, with bifurcations and some vessels displaying a serpentine pattern; 6. The background is uniformly dark with subtle shadows and textures that do not interfere with the visualization of the angiography.", + "overview": "Black and white X-ray image displaying the internal anatomy of a heart with visible blood vessels; 2. XCAD dataset; 3. The coronary angiography is predominantly visible in the center extending to the left of the image; 4. The blood vessels range from slender to moderately thick, with the width varying along their lengths; 5. The angiography shows a complex network of curvilinear structures that branch and curve in multiple directions, with bifurcations and some vessels displaying a serpentine pattern; 6. The background is uniformly dark with subtle shadows and textures that do not interfere with the visualization of the angiography." + }, + { + "image": "XCAD\\training\\images\\13011_18.png", + "caption": "X-ray image showing the contrast-enhanced coronary arteries;XCAD dataset;Coronary angiography visible in the center of the image, predominantly occupying the upper two-thirds region;Variable size with the main arteries being more prominent and branching into finer vessels;The main coronary arteries exhibit a curvilinear, branching structure with smooth, flowing lines that taper and divide into smaller, intricate arterial branches;Monochromatic and grainy background with shadows of thoracic structures.", + "overview": "X-ray image showing the contrast-enhanced coronary arteries;", + "dataset": "XCAD dataset;", + "location": "Coronary angiography visible in the center of the image, predominantly occupying the upper two-thirds region;", + "size": "Variable size with the main arteries being more prominent and branching into finer vessels;", + "trend_shape": "The main coronary arteries exhibit a curvilinear, branching structure with smooth, flowing lines that taper and divide into smaller, intricate arterial branches;", + "background": "Monochromatic and grainy background with shadows of thoracic structures." + }, + { + "image": "XCAD\\training\\images\\13103_32.png", + "caption": "Monochromatic X-ray image displaying high contrast curvilinear structures against a muted background; 2. XCAD Dataset; 3. The coronary angiography is centrally located, with the main vessel starting from the top left corner and branching centrally and towards the lower right; 4. Varying sizes with the main vessel being the largest in diameter and secondary branches reducing in size progressively; 5. The coronary angiography presents with sinuous and arching paths with smooth contours; some vessels show tortuosity, while others have a more linear trajectory; 6. Homogeneous grey tone with subtle texture variations.", + "overview": "Monochromatic X-ray image displaying high contrast curvilinear structures against a muted background; 2. XCAD Dataset; 3. The coronary angiography is centrally located, with the main vessel starting from the top left corner and branching centrally and towards the lower right; 4. Varying sizes with the main vessel being the largest in diameter and secondary branches reducing in size progressively; 5. The coronary angiography presents with sinuous and arching paths with smooth contours; some vessels show tortuosity, while others have a more linear trajectory; 6. Homogeneous grey tone with subtle texture variations." + }, + { + "image": "XCAD\\training\\images\\13704_16.png", + "caption": "Monochromatic X-ray image depicting vascular structures with high contrast against a darker background;XCAD dataset;The coronary angiography is centrally located, occupying the middle third of the image vertically and the left central to upper right portions horizontally;The size is significant, with the main vessel diameter approximately 2-3 mm and the branches varying from 1-2 mm while extending over more than two-thirds of the image width;The main vessel follows an S-shaped curve transitioning to a C-curve in the distal area, with multiple smaller branches exhibiting serpentine, tortuous paths and bifurcations;The background is uniformly dark with faint vertical and horizontal lines suggestive of underlying anatomical structures or imaging apparatus.", + "overview": "Monochromatic X-ray image depicting vascular structures with high contrast against a darker background;", + "dataset": "XCAD dataset;", + "location": "The coronary angiography is centrally located, occupying the middle third of the image vertically and the left central to upper right portions horizontally;", + "size": "The size is significant, with the main vessel diameter approximately 2-3 mm and the branches varying from 1-2 mm while extending over more than two-thirds of the image width;", + "trend_shape": "The main vessel follows an S-shaped curve transitioning to a C-curve in the distal area, with multiple smaller branches exhibiting serpentine, tortuous paths and bifurcations;", + "background": "The background is uniformly dark with faint vertical and horizontal lines suggestive of underlying anatomical structures or imaging apparatus." + }, + { + "image": "XCAD\\training\\images\\14356_27.png", + "caption": "Monochrome X-ray image displaying contrast-filled curvilinear structures representative of blood vessels; 2. XCAD dataset; 3. The coronary angiography is centrally located, exhibiting highest density of contrast medium in the central third of the image, stretching horizontally across the image with multiple branching structures; 4. The coronary angiography structure has a varying diameter, with the main vessel measuring approximately a quarter of the image's width and smaller branches tapering off to fine lines; 5. The coronary angiography shows a serpentine trend with a mix of soft curves and sharper angles, with a prominent \"C\" shaped curve on the right and a looping structure on the left; 6. The background is uniformly dark with low contrast, highlighting the vascular structures without distinct external features.", + "overview": "Monochrome X-ray image displaying contrast-filled curvilinear structures representative of blood vessels; 2. XCAD dataset; 3. The coronary angiography is centrally located, exhibiting highest density of contrast medium in the central third of the image, stretching horizontally across the image with multiple branching structures; 4. The coronary angiography structure has a varying diameter, with the main vessel measuring approximately a quarter of the image's width and smaller branches tapering off to fine lines; 5. The coronary angiography shows a serpentine trend with a mix of soft curves and sharper angles, with a prominent \"C\" shaped curve on the right and a looping structure on the left; 6. The background is uniformly dark with low contrast, highlighting the vascular structures without distinct external features." + }, + { + "image": "XCAD\\training\\images\\14717_23.png", + "caption": "Monochromatic X-ray image showing contrast-filled blood vessels against a gray background.XCAD dataset.The coronary angiography is centered, predominantly occupying the upper half of the image.The angiography displays vessels of varying thickness, ranging from 1 to 10 mm in diameter.Vessels show a complex, branching curvilinear pattern with smooth to slightly irregular contours; arterial branches extend in multiple directions with a mix of steep and gentle curvatures.Homogenous, diffuse gray with areas of lighter and darker shading, lacking distinguishable features.", + "overview": "Monochromatic X-ray image showing contrast-filled blood vessels against a gray background.", + "dataset": "XCAD dataset.", + "location": "The coronary angiography is centered, predominantly occupying the upper half of the image.", + "size": "The angiography displays vessels of varying thickness, ranging from 1 to 10 mm in diameter.", + "trend_shape": "Vessels show a complex, branching curvilinear pattern with smooth to slightly irregular contours; arterial branches extend in multiple directions with a mix of steep and gentle curvatures.", + "background": "Homogenous, diffuse gray with areas of lighter and darker shading, lacking distinguishable features." + }, + { + "image": "XCAD\\training\\images\\14764_27.png", + "caption": "Monochrome X-ray image showcasing branching vascular structures with varying opacities;XCAD dataset;The coronary angiography is predominantly visible in the upper half of the image, with the main branch originating from the top central area and extending downwards;The coronary angiography branches exhibit a range of sizes: from a major vessel approximately one-tenth of the image width to fine capillary-like offshoots;The angiography displays a complex, arborescent pattern with curvilinear branches that bifurcate and taper; notable for their sinuosity and progressive diminution as they extend peripherally;The background is uniformly dark and featureless, enhancing the contrast of the vascular structures.", + "overview": "Monochrome X-ray image showcasing branching vascular structures with varying opacities;", + "dataset": "XCAD dataset;", + "location": "The coronary angiography is predominantly visible in the upper half of the image, with the main branch originating from the top central area and extending downwards;", + "size": "The coronary angiography branches exhibit a range of sizes: from a major vessel approximately one-tenth of the image width to fine capillary-like offshoots;", + "trend_shape": "The angiography displays a complex, arborescent pattern with curvilinear branches that bifurcate and taper; notable for their sinuosity and progressive diminution as they extend peripherally;", + "background": "The background is uniformly dark and featureless, enhancing the contrast of the vascular structures." + }, + { + "image": "XCAD\\training\\images\\15534_41.png", + "caption": "Black and white X-ray image of coronary arteries with contrast; 2. XCAD dataset; 3. The coronary angiography is centrally located, displaying the heart's arterial system; 4. The coronary angiography shows arteries of varying calibers, between 1 to 5 millimeters in diameter approximately; 5. The trend is mostly vertical within the image, with a prominent main artery branching into finer curved vessels, showing some tortuosity and bifurcations; 6. The background is homogeneous and featureless.", + "overview": "Black and white X-ray image of coronary arteries with contrast; 2. XCAD dataset; 3. The coronary angiography is centrally located, displaying the heart's arterial system; 4. The coronary angiography shows arteries of varying calibers, between 1 to 5 millimeters in diameter approximately; 5. The trend is mostly vertical within the image, with a prominent main artery branching into finer curved vessels, showing some tortuosity and bifurcations; 6. The background is homogeneous and featureless." + }, + { + "image": "XCAD\\training\\images\\15613_15.png", + "caption": "Monochromatic X-ray image displaying several high-contrast, curvilinear structures against a uniform background;XCAD dataset;Coronary angiography is centrally located, occupying the majority of the image and is distributed across the image extending from the central left side towards the upper right and lower right corners;The size of the coronary angiography varies, with some vessels appearing thin and fine, approximately 1-2 mm in width, and others looking slightly broader, up to 2-3 mm;The trend of the coronary angiography shows multiple curvilinear paths, branching intricately, some forming tight radiused curves and loops while others show elongated, smoother trajectories; shapes range from 'C'-like curves to linear segments and more complex branching patterns;The background is uniform and grainy without distinguishable features.", + "overview": "Monochromatic X-ray image displaying several high-contrast, curvilinear structures against a uniform background;", + "dataset": "XCAD dataset;", + "location": "Coronary angiography is centrally located, occupying the majority of the image and is distributed across the image extending from the central left side towards the upper right and lower right corners;", + "size": "The size of the coronary angiography varies, with some vessels appearing thin and fine, approximately 1-2 mm in width, and others looking slightly broader, up to 2-3 mm;", + "trend_shape": "The trend of the coronary angiography shows multiple curvilinear paths, branching intricately, some forming tight radiused curves and loops while others show elongated, smoother trajectories; shapes range from 'C'-like curves to linear segments and more complex branching patterns;", + "background": "The background is uniform and grainy without distinguishable features." + }, + { + "image": "XCAD\\training\\images\\15664_22.png", + "caption": "An X-ray image showcasing a network of curvilinear structures consistent with the anatomy of blood vessels surrounding the heart;XCAD dataset;The coronary angiography is prominently located in the center of the image with vessel branches spreading towards the periphery;The size of the coronary angiography appears to vary, with the main vessel diameter being substantial and diminishing in the smaller branching vessels, indicative of the natural tapering of the arterial system;Trend and shape of the coronary angiography show a sinuous pattern with multiple branching points, some vessels arch upwards while others curve downwards, displaying both gradual and sharp curvatures;The background is uniform and dark, enhancing the contrast of the angiography.", + "overview": "An X-ray image showcasing a network of curvilinear structures consistent with the anatomy of blood vessels surrounding the heart;", + "dataset": "XCAD dataset;", + "location": "The coronary angiography is prominently located in the center of the image with vessel branches spreading towards the periphery;", + "size": "The size of the coronary angiography appears to vary, with the main vessel diameter being substantial and diminishing in the smaller branching vessels, indicative of the natural tapering of the arterial system;", + "trend_shape": "Trend and shape of the coronary angiography show a sinuous pattern with multiple branching points, some vessels arch upwards while others curve downwards, displaying both gradual and sharp curvatures;", + "background": "The background is uniform and dark, enhancing the contrast of the angiography." + }, + { + "image": "XCAD\\training\\images\\15840_29.png", + "caption": "Black and white X-ray image of coronary arteries; 2. XCAD dataset; 3. Coronary angiography is centrally located, occupying the upper two-thirds of the image; 4. The coronary angiography shows arteries of varying diameter from approximately 1 to 5 mm; 5. Angiography reveals a complex network of curvilinear structures with bifurcations, acute to obtuse branch angles, and a sinuous, tortuous course; 6. Homogeneous, translucent background with subtle variations in shading and faint grid-like artifacts.", + "overview": "Black and white X-ray image of coronary arteries; 2. XCAD dataset; 3. Coronary angiography is centrally located, occupying the upper two-thirds of the image; 4. The coronary angiography shows arteries of varying diameter from approximately 1 to 5 mm; 5. Angiography reveals a complex network of curvilinear structures with bifurcations, acute to obtuse branch angles, and a sinuous, tortuous course; 6. Homogeneous, translucent background with subtle variations in shading and faint grid-like artifacts." + }, + { + "image": "XCAD\\training\\images\\15961_37.png", + "caption": "Monochromatic X-ray image depicting contrast-enhanced coronary arteries; 2. XCAD dataset; 3. Coronary angiography is centrally located in the image, showcased by the contrast medium; 4. Size varies, with some vessels over 10 cm in length and others branching down to approximately 1-2 cm; 5. The coronary angiography depicts curvilinear and branching structures, with a mix of smooth large arches and smaller, more intricate branches forming a web-like vascular network; 6. Homogenous, grayscale background with indistinct shadows.", + "overview": "Monochromatic X-ray image depicting contrast-enhanced coronary arteries; 2. XCAD dataset; 3. Coronary angiography is centrally located in the image, showcased by the contrast medium; 4. Size varies, with some vessels over 10 cm in length and others branching down to approximately 1-2 cm; 5. The coronary angiography depicts curvilinear and branching structures, with a mix of smooth large arches and smaller, more intricate branches forming a web-like vascular network; 6. Homogenous, grayscale background with indistinct shadows." + }, + { + "image": "XCAD\\training\\images\\16428_46.png", + "caption": "Monochromatic X-ray image of the human heart showing contrast-enhanced coronary arteries;XCAD dataset;Coronary angiography is centrally located, depicting the left coronary artery system;The angiography displays vessels of varying diameter, predominantly between 2-4mm;Vessels demonstrate serpentine and tortuous trends with several branching patterns and bifurcations, curving around the cardiac silhouette;Grainy gray background with soft tissue densities and cardiac shadows.", + "overview": "Monochromatic X-ray image of the human heart showing contrast-enhanced coronary arteries;", + "dataset": "XCAD dataset;", + "location": "Coronary angiography is centrally located, depicting the left coronary artery system;", + "size": "The angiography displays vessels of varying diameter, predominantly between 2-4mm;", + "trend_shape": "Vessels demonstrate serpentine and tortuous trends with several branching patterns and bifurcations, curving around the cardiac silhouette;", + "background": "Grainy gray background with soft tissue densities and cardiac shadows." + }, + { + "image": "XCAD\\training\\images\\17025_24.png", + "caption": "Monochromatic X-ray image showing the contrast-enhanced arteries of the heart;XCAD dataset;The angiography is predominantly located in the central region, extending from the upper left quadrant towards the bottom right quadrant of the image;The size of the angiography reveals several branches ranging from large main vessels to smaller peripheral vessels, with varying diameters that are not uniformly measurable from the image;The coronary angiography exhibits a tortuous and multi-branching curvilinear pattern with smooth contours and a combination of both sharp and gentle curves;Homogenous and grainy grayscale background with soft tissue shadows.", + "overview": "Monochromatic X-ray image showing the contrast-enhanced arteries of the heart;", + "dataset": "XCAD dataset;", + "location": "The angiography is predominantly located in the central region, extending from the upper left quadrant towards the bottom right quadrant of the image;", + "size": "The size of the angiography reveals several branches ranging from large main vessels to smaller peripheral vessels, with varying diameters that are not uniformly measurable from the image;", + "trend_shape": "The coronary angiography exhibits a tortuous and multi-branching curvilinear pattern with smooth contours and a combination of both sharp and gentle curves;", + "background": "Homogenous and grainy grayscale background with soft tissue shadows." + }, + { + "image": "XCAD\\training\\images\\17906_30.png", + "caption": "Monochromatic X-ray image showcasing vascular structures with high contrast against a darker background; 2. XCAD dataset; 3. The coronary angiography is centrally located within the image, displaying a branching network primarily in the upper half of the image, with contrast medium defining the lumens; 4. The angiography shows vessels of varying size, with the main artery being approximately a quarter of the image width with tapering branches; 5. The main artery exhibits a curvilinear trajectory with descending and looping patterns, while its branches demonstrate a complex, intertwined, and curvilinear morphology with multiple bifurcations; 6. The background is uniform and featureless, providing no significant detail beyond the shaded silhouette of the cardiac silhouette.", + "overview": "Monochromatic X-ray image showcasing vascular structures with high contrast against a darker background; 2. XCAD dataset; 3. The coronary angiography is centrally located within the image, displaying a branching network primarily in the upper half of the image, with contrast medium defining the lumens; 4. The angiography shows vessels of varying size, with the main artery being approximately a quarter of the image width with tapering branches; 5. The main artery exhibits a curvilinear trajectory with descending and looping patterns, while its branches demonstrate a complex, intertwined, and curvilinear morphology with multiple bifurcations; 6. The background is uniform and featureless, providing no significant detail beyond the shaded silhouette of the cardiac silhouette." + }, + { + "image": "XCAD\\training\\images\\18095_29.png", + "caption": "Monochromatic X-ray image depicting vascular structures with varying degrees of opacity; 2. XCAD dataset; 3. The coronary angiography is centrally located in the image, with the main vascular structure prominently displayed from the center extending towards the bottom left; 4. the size is relatively large within the context of the image, occupying a significant portion of the frame with its extensive branching; 5. The main vessel trends downwards with a curving S-like shape, branching into thinner, curvilinear vessels that diverge with a tree-like pattern; 6. Homogeneous grayscale background with soft edges and minimal extraneous detail.", + "overview": "Monochromatic X-ray image depicting vascular structures with varying degrees of opacity; 2. XCAD dataset; 3. The coronary angiography is centrally located in the image, with the main vascular structure prominently displayed from the center extending towards the bottom left; 4. the size is relatively large within the context of the image, occupying a significant portion of the frame with its extensive branching; 5. The main vessel trends downwards with a curving S-like shape, branching into thinner, curvilinear vessels that diverge with a tree-like pattern; 6. Homogeneous grayscale background with soft edges and minimal extraneous detail." + }, + { + "image": "XCAD\\training\\images\\18097_29.png", + "caption": "Monochromatic X-ray image of curvilinear structures with varying opacities; 2. XCAD dataset; 3. The coronary angiography is prominently visible in the center and upper left quadrant of the image; 4. The size of the coronary angiography is relatively large in the image, with widths varying from thin to moderately thick curvilinear structures; 5. The trend shows a complex and tortuous path, forming loops and curves; the shape of the angiography is cylindrical with varying diameters, depicting arterial structures; 6. The background is a granular and translucent overlay with ambiguous shapes and structures.", + "overview": "Monochromatic X-ray image of curvilinear structures with varying opacities; 2. XCAD dataset; 3. The coronary angiography is prominently visible in the center and upper left quadrant of the image; 4. The size of the coronary angiography is relatively large in the image, with widths varying from thin to moderately thick curvilinear structures; 5. The trend shows a complex and tortuous path, forming loops and curves; the shape of the angiography is cylindrical with varying diameters, depicting arterial structures; 6. The background is a granular and translucent overlay with ambiguous shapes and structures." + }, + { + "image": "XCAD\\training\\images\\18139_23.png", + "caption": "Monochrome X-ray image showing internal anatomy with visible branching structures;XCAD dataset;Coronary angiography is centrally located, appearing as a network of branching vessels primarily in the upper half of the image;The coronary angiography spans approximately two-thirds of the image height, with vessels ranging from fine to moderately thick;The angiography reveals a curvilinear structure with multiple branching vessels, exhibiting a tortuous course with bifurcations and a mix of curvatures and angles;The background is uniform and dark, with slight variations in grayscale intensity.", + "overview": "Monochrome X-ray image showing internal anatomy with visible branching structures;", + "dataset": "XCAD dataset;", + "location": "Coronary angiography is centrally located, appearing as a network of branching vessels primarily in the upper half of the image;", + "size": "The coronary angiography spans approximately two-thirds of the image height, with vessels ranging from fine to moderately thick;", + "trend_shape": "The angiography reveals a curvilinear structure with multiple branching vessels, exhibiting a tortuous course with bifurcations and a mix of curvatures and angles;", + "background": "The background is uniform and dark, with slight variations in grayscale intensity." + }, + { + "image": "XCAD\\training\\images\\18298_38.png", + "caption": "Monochromatic X-ray image displaying contrast-enhanced arterial structures;XCAD dataset;The coronary angiography is centrally located, spanning from the upper middle to the lower right quadrant of the image;The angiography shows a main vessel with varying diameter ranging from approximately 2mm to 4mm, branching into thinner vessels approximately 1mm to 2mm in diameter;The angiography demonstrates a tortuous and curving trajectory with both smooth and irregular contours, including a prominent serpentine main vessel with bifurcations and smaller branching vessels;Homogeneous grayscale background with low contrast and visible anatomical noise.", + "overview": "Monochromatic X-ray image displaying contrast-enhanced arterial structures;", + "dataset": "XCAD dataset;", + "location": "The coronary angiography is centrally located, spanning from the upper middle to the lower right quadrant of the image;", + "size": "The angiography shows a main vessel with varying diameter ranging from approximately 2mm to 4mm, branching into thinner vessels approximately 1mm to 2mm in diameter;", + "trend_shape": "The angiography demonstrates a tortuous and curving trajectory with both smooth and irregular contours, including a prominent serpentine main vessel with bifurcations and smaller branching vessels;", + "background": "Homogeneous grayscale background with low contrast and visible anatomical noise." + }, + { + "image": "XCAD\\training\\images\\18476_49.png", + "caption": "Monochromatic X-ray image displaying high-contrast vascular structures within a human torso; 2. XCAD dataset; 3. Centrally located with primary branches extending from the bottom left to the upper right quadrant of the image; 4. Major vessel with a diameter ranging from 2 to 4 mm, with branching vessels tapering to less than 1 mm; 5. Main vessel follows a sinuous path with smooth curves; branching vessels exhibit a mix of curvilinear and more abrupt, angular deviations; 6. Homogeneous grayscale background with soft tissue densities and bone shadowing at the periphery.", + "overview": "Monochromatic X-ray image displaying high-contrast vascular structures within a human torso; 2. XCAD dataset; 3. Centrally located with primary branches extending from the bottom left to the upper right quadrant of the image; 4. Major vessel with a diameter ranging from 2 to 4 mm, with branching vessels tapering to less than 1 mm; 5. Main vessel follows a sinuous path with smooth curves; branching vessels exhibit a mix of curvilinear and more abrupt, angular deviations; 6. Homogeneous grayscale background with soft tissue densities and bone shadowing at the periphery." + }, + { + "image": "XCAD\\training\\images\\18489_21.png", + "caption": "X-ray image depicting contrast-filled coronary arteries with multiple branching structures; 2. XCAD dataset; 3. Coronary angiography is centrally located, with the main structure running diagonally from the top left to the bottom right of the image; 4. The size of the coronary angiography branches varies, with the main artery being the largest structure and diminishing in size as it branches out; 5. The coronary angiography displays a serpentine, winding trend with both smooth and slightly irregular curvilinear shapes, indicative of normal and possibly pathological vessel contours; 6. Homogeneous greyscale background with some noise and artifacts.", + "overview": "X-ray image depicting contrast-filled coronary arteries with multiple branching structures; 2. XCAD dataset; 3. Coronary angiography is centrally located, with the main structure running diagonally from the top left to the bottom right of the image; 4. The size of the coronary angiography branches varies, with the main artery being the largest structure and diminishing in size as it branches out; 5. The coronary angiography displays a serpentine, winding trend with both smooth and slightly irregular curvilinear shapes, indicative of normal and possibly pathological vessel contours; 6. Homogeneous greyscale background with some noise and artifacts." + }, + { + "image": "XCAD\\training\\images\\18552_23.png", + "caption": "Monochromatic X-ray image of coronary arteries with high contrast between the vascular structures and surrounding tissues; 2. XCAD dataset; 3. The coronary angiography is centrally located, predominantly occupying the middle third of the image, extending diagonally from the top left corner towards the bottom right corner; 4. The coronary angiography shows vessels of varying diameters, with the main artery being prominent and several thinner branching vessels; 5. The main artery exhibits a curvilinear trajectory with several smooth curves and bifurcations into narrower secondary branches, creating an arborescent pattern; 6. Homogeneous grayscale background with subtle anatomical shadows and collimator edges.", + "overview": "Monochromatic X-ray image of coronary arteries with high contrast between the vascular structures and surrounding tissues; 2. XCAD dataset; 3. The coronary angiography is centrally located, predominantly occupying the middle third of the image, extending diagonally from the top left corner towards the bottom right corner; 4. The coronary angiography shows vessels of varying diameters, with the main artery being prominent and several thinner branching vessels; 5. The main artery exhibits a curvilinear trajectory with several smooth curves and bifurcations into narrower secondary branches, creating an arborescent pattern; 6. Homogeneous grayscale background with subtle anatomical shadows and collimator edges." + }, + { + "image": "XCAD\\training\\images\\18608_34.png", + "caption": "Monochromatic X-ray image of a human chest displaying cardiovascular structures; 2. XCAD dataset; 3. Coronary angiography is centrally located, exhibiting contrasted blood vessels predominantly in the upper half of the image; 4. The coronary angiography shows various vessel calibers, with major vessels having diameters between 2 to 5 millimeters; 5. The vessels display serpentine curvilinearity with smooth contours and bifurcations, extending in multiple directions, showing both stenotic and patent segments; 6. The background is uniform and slightly textured, devoid of distinct features, enhancing the visibility of the angiography.", + "overview": "Monochromatic X-ray image of a human chest displaying cardiovascular structures; 2. XCAD dataset; 3. Coronary angiography is centrally located, exhibiting contrasted blood vessels predominantly in the upper half of the image; 4. The coronary angiography shows various vessel calibers, with major vessels having diameters between 2 to 5 millimeters; 5. The vessels display serpentine curvilinearity with smooth contours and bifurcations, extending in multiple directions, showing both stenotic and patent segments; 6. The background is uniform and slightly textured, devoid of distinct features, enhancing the visibility of the angiography." + }, + { + "image": "XCAD\\training\\images\\18671_41.png", + "caption": "Monochromatic X-ray image displaying a network of branching structures; 2. XCAD dataset; 3. The coronary angiography is centrally located, occupying the upper half of the image; 4. The coronary angiography branches range from fine to medium in size, with varying degrees of density and opacity; 5. The angiography shows a complex curvilinear pattern with both smooth and bifurcating branches extending in multiple directions; 6. Homogeneous, grayscale background with soft tissue shadows.", + "overview": "Monochromatic X-ray image displaying a network of branching structures; 2. XCAD dataset; 3. The coronary angiography is centrally located, occupying the upper half of the image; 4. The coronary angiography branches range from fine to medium in size, with varying degrees of density and opacity; 5. The angiography shows a complex curvilinear pattern with both smooth and bifurcating branches extending in multiple directions; 6. Homogeneous, grayscale background with soft tissue shadows." + }, + { + "image": "XCAD\\training\\images\\18597_47.png", + "caption": "The image is a grayscale angiogram showcasing a contrast-filled structure of coronary arteries. XCAD dataset. Coronary angiography is prominently displayed in the center, with the main artery traveling from the top left corner downwards and branching out towards the center and right. The coronary angiography features a main artery with a diameter that suggests it is a major coronary vessel, accompanied by smaller, branching vessels indicative of secondary and tertiary arterial branches. The main artery has a sinuous trajectory with smooth curves, branching into secondary vessels that exhibit varying curvatures and bifurcations, creating a complex arborization pattern typical of coronary vascular anatomy. The background is a uniform, translucent gray, allowing for clear visualization of the angiographic details.", + "overview": "The image is a grayscale angiogram showcasing a contrast-filled structure of coronary arteries", + "dataset": "XCAD dataset;", + "location": "Coronary angiography is prominently displayed in the center, with the main artery traveling from the top left corner downwards and branching out towards the center and right.", + "size": "The coronary angiography features a main artery with a diameter that suggests it is a major coronary vessel, accompanied by smaller, branching vessels indicative of secondary and tertiary arterial branches.", + "trend_shape": "The main artery has a sinuous trajectory with smooth curves, branching into secondary vessels that exhibit varying curvatures and bifurcations, creating a complex arborization pattern typical of coronary vascular anatomy.", + "background": "The background is a uniform, translucent gray, allowing for clear visualization of the angiographic details." + }, + { + "image": "XCAD\\training\\annotations\\00018_33.png", + "caption": "Semantic map of curvilinear structures representing coronary arteries from an X-ray angiography, classified as ground truth (GT).XCAD dataset.The semantic map is centrally located, prominently displayed against a uniform background occupying the full image.The map does not fill the entire image but is of sufficient size to illustrate the intricacies of the arterial branches; precise dimensions are not provided.The trend of the semantic map is winding, with a primary curvilinear structure that branches into multiple thinner curvilinear structures; the shape is reminiscent of arterial pathways, with varying curvature and bifurcation patterns indicative of coronary artery branches.", + "overview": "Semantic map of curvilinear structures representing coronary arteries from an X-ray angiography, classified as ground truth (GT).", + "dataset": "XCAD dataset.", + "location": "The semantic map is centrally located, prominently displayed against a uniform background occupying the full image.", + "size": "The map does not fill the entire image but is of sufficient size to illustrate the intricacies of the arterial branches; precise dimensions are not provided.", + "trend_shape": "The trend of the semantic map is winding, with a primary curvilinear structure that branches into multiple thinner curvilinear structures; the shape is reminiscent of arterial pathways, with varying curvature and bifurcation patterns indicative of coronary artery branches." + }, + { + "image": "XCAD\\training\\annotations\\00026_38.png", + "caption": "This is a semantic map or ground truth (GT) representation depicting the arterial structure from an X-ray coronary angiography image;The image is from the XCAD dataset;The semantic map is centrally located within the image, predominantly occupying the middle third both horizontally and vertically;The semantic map varies in width along its length but maintains a fine, thread-like appearance against the contrasting black background, with no definitive size provided;The trend of the semantic map is undulating with several curves and bifurcations resembling the arterial branches of a biological system; the shape is elongated with numerous branches varying in length and direction, indicative of a complex vascular network.", + "overview": "This is a semantic map or ground truth (GT) representation depicting the arterial structure from an X-ray coronary angiography image;", + "dataset": "The image is from the XCAD dataset;", + "location": "The semantic map is centrally located within the image, predominantly occupying the middle third both horizontally and vertically;", + "size": "The semantic map varies in width along its length but maintains a fine, thread-like appearance against the contrasting black background, with no definitive size provided;", + "trend_shape": "The trend of the semantic map is undulating with several curves and bifurcations resembling the arterial branches of a biological system; the shape is elongated with numerous branches varying in length and direction, indicative of a complex vascular network." + }, + { + "image": "XCAD\\training\\annotations\\00158_49.png", + "caption": "Semantic map (GT) of X-ray coronary angiography;XCAD dataset;Centralized in the image with a clear border against the black background;Varies in width but uniformly thin, covering a moderate portion of the image canvas;Composed of multiple curving and intertwining lines representing the arterial structure with sinuous and branching patterns.", + "overview": "Semantic map (GT) of X-ray coronary angiography;", + "dataset": "XCAD dataset;", + "location": "Centralized in the image with a clear border against the black background;", + "size": "Varies in width but uniformly thin, covering a moderate portion of the image canvas;", + "trend_shape": "Composed of multiple curving and intertwining lines representing the arterial structure with sinuous and branching patterns." + }, + { + "image": "XCAD\\training\\annotations\\00214_29.png", + "caption": "A black and white semantic map of coronary arteries from an X-ray angiography image representing the ground truth (GT) for model training; 2. XCAD dataset; 3. The semantic map prominently displays on the entire image canvas without specific borders limiting their spatial location; 4. The size of the semantic map extends nearly the full height and a significant width of the image, with varying thicknesses of lines; 5. The trend and shape of the semantic map depict bifurcating and curvilinear structures characteristic of arterial branches, with the main vessel extending from the top central to the lower left quadrant, and smaller branches diverging at multiple acute and obtuse angles, representing a two-dimensional view of a three-dimensional vascular tree.", + "overview": "A black and white semantic map of coronary arteries from an X-ray angiography image representing the ground truth (GT) for model training; 2. XCAD dataset; 3. The semantic map prominently displays on the entire image canvas without specific borders limiting their spatial location; 4. The size of the semantic map extends nearly the full height and a significant width of the image, with varying thicknesses of lines; 5. The trend and shape of the semantic map depict bifurcating and curvilinear structures characteristic of arterial branches, with the main vessel extending from the top central to the lower left quadrant, and smaller branches diverging at multiple acute and obtuse angles, representing a two-dimensional view of a three-dimensional vascular tree." + }, + { + "image": "XCAD\\training\\annotations\\00303_28.png", + "caption": "This is a semantic map or ground truth (GT) representing the arterial structures in an X-ray coronary angiography image; 2. The image is from the XCAD dataset; 3. The semantic map is centrally located, covering the majority of the image area with a focus towards the upper right quadrant; 4. The map displays a complex network of branching curvilinear structures of varying thickness, extending across the image canvas, suggesting arterial pathways and their bifurcations, with lines ranging from fine to medium thickness; 5. The trend of the semantic map is predominantly vertical and diagonal, with organic curvatures and branching patterns that simulate the natural flow and division of blood vessels within a coronary artery system.", + "overview": "This is a semantic map or ground truth (GT) representing the arterial structures in an X-ray coronary angiography image; 2. The image is from the XCAD dataset; 3. The semantic map is centrally located, covering the majority of the image area with a focus towards the upper right quadrant; 4. The map displays a complex network of branching curvilinear structures of varying thickness, extending across the image canvas, suggesting arterial pathways and their bifurcations, with lines ranging from fine to medium thickness; 5. The trend of the semantic map is predominantly vertical and diagonal, with organic curvatures and branching patterns that simulate the natural flow and division of blood vessels within a coronary artery system." + }, + { + "image": "XCAD\\training\\annotations\\00457_59.png", + "caption": "Semantic map (GT) of coronary arteries from an X-ray angiography image, showcasing highlighted curvilinear structures against a solid background.Name of the dataset: XCAD.The semantic map is centrally located within the image, occupying the majority of the space.The size of the semantic map is large relative to the image canvas, with the map extending near the edges of the image in a manner that suggests it is a zoomed-in view of the coronary arteries.The trend of the semantic map is complex, featuring multiple intertwining and branching lines representing the coronary arterial structure; the shape is elongated, with several curves and variable line thickness that indicates the arterial lumen size variations and bifurcations.", + "overview": "Semantic map (GT) of coronary arteries from an X-ray angiography image, showcasing highlighted curvilinear structures against a solid background.", + "dataset": "Name of the dataset: XCAD.", + "location": "The semantic map is centrally located within the image, occupying the majority of the space.", + "size": "The size of the semantic map is large relative to the image canvas, with the map extending near the edges of the image in a manner that suggests it is a zoomed-in view of the coronary arteries.", + "trend_shape": "The trend of the semantic map is complex, featuring multiple intertwining and branching lines representing the coronary arterial structure; the shape is elongated, with several curves and variable line thickness that indicates the arterial lumen size variations and bifurcations." + }, + { + "image": "XCAD\\training\\annotations\\00475_44.png", + "caption": "This image is a high-contrast, binary semantic map or ground truth (GT) representation of coronary arteries, typically used for computer vision tasks in medical imaging analysis.The dataset is named XCAD.The semantic map is centrally located within the image against a uniform black background, with the primary structures approximately centered.The size of the semantic map is contained within the image frame, with varying thickness of the curvilinear structures suggesting the representation of different artery diameters.The trend of the semantic map is a complex network of curvilinear features branching out from a central, irregularly shaped main artery, with the shape including smooth curves, bifurcations, and both acute and obtuse angles, simulating natural vascular structures.", + "overview": "This image is a high-contrast, binary semantic map or ground truth (GT) representation of coronary arteries, typically used for computer vision tasks in medical imaging analysis.", + "dataset": "The dataset is named XCAD.", + "location": "The semantic map is centrally located within the image against a uniform black background, with the primary structures approximately centered.", + "size": "The size of the semantic map is contained within the image frame, with varying thickness of the curvilinear structures suggesting the representation of different artery diameters.", + "trend_shape": "The trend of the semantic map is a complex network of curvilinear features branching out from a central, irregularly shaped main artery, with the shape including smooth curves, bifurcations, and both acute and obtuse angles, simulating natural vascular structures." + }, + { + "image": "XCAD\\training\\annotations\\00593_31.png", + "caption": "Semantic map ground truth (GT) of coronary arteries from an X-ray angiography.XCAD dataset.The semantic map is centrally placed within the image, covering the majority of the frame with clear margins against the black background.The size of the semantic map is extensive, with arterial branches spreading to occupy the top, center, and bottom-right regions of the image.The trend of the semantic map shows a major vessel branching into multiple curvilinear smaller vessels, with varying curvature and angles; it is detailed in shape, depicting a realistic and complex vascular structure with bifurcations and tapering characteristic of coronary arteries.", + "overview": "Semantic map ground truth (GT) of coronary arteries from an X-ray angiography.", + "dataset": "XCAD dataset.", + "location": "The semantic map is centrally placed within the image, covering the majority of the frame with clear margins against the black background.", + "size": "The size of the semantic map is extensive, with arterial branches spreading to occupy the top, center, and bottom-right regions of the image.", + "trend_shape": "The trend of the semantic map shows a major vessel branching into multiple curvilinear smaller vessels, with varying curvature and angles; it is detailed in shape, depicting a realistic and complex vascular structure with bifurcations and tapering characteristic of coronary arteries." + }, + { + "image": "XCAD\\training\\annotations\\00595_47.png", + "caption": "This is a high-contrast semantic map or ground truth (GT) of the vascular structures present in an X-ray coronary angiography, depicting the vessel outlines against a solid black background.The dataset is named XCAD.The semantic map occupies the central and upper portions of the image, with some branches extending towards the edges.The size of the semantic map is large and covers a substantial part of the image area, with varying thickness of the vessel representations.The trend of the semantic map is complex with multiple curvilinear structures ranging from broad, primary vessels to fine, delicate branches; the shape is reminiscent of a tree-like vascular network with bifurcations and convergences typical of arterial anatomy.", + "overview": "This is a high-contrast semantic map or ground truth (GT) of the vascular structures present in an X-ray coronary angiography, depicting the vessel outlines against a solid black background.", + "dataset": "The dataset is named XCAD.", + "location": "The semantic map occupies the central and upper portions of the image, with some branches extending towards the edges.", + "size": "The size of the semantic map is large and covers a substantial part of the image area, with varying thickness of the vessel representations.", + "trend_shape": "The trend of the semantic map is complex with multiple curvilinear structures ranging from broad, primary vessels to fine, delicate branches; the shape is reminiscent of a tree-like vascular network with bifurcations and convergences typical of arterial anatomy." + }, + { + "image": "XCAD\\training\\annotations\\00631_35.png", + "caption": "Semantic map (GT) of coronary arteries from an X-ray angiography image, containing only the delineated vessels without any background detail.XCAD dataset.The semantic map is centrally located within the image frame, occupying a majority of the central visual field but not extending to the edges.The semantic map does not have a uniform size but consists of multiple curvilinear structures of varying lengths and widths that collectively form a tree-like vascular network.The trend of the semantic map is branching, starting from a single, thicker line at the top that bifurcates and tapers into multiple thinner lines; the shape resembles a somewhat inverted tree with curving and intertwining branches suggestive of the coronary arterial system.", + "overview": "Semantic map (GT) of coronary arteries from an X-ray angiography image, containing only the delineated vessels without any background detail.", + "dataset": "XCAD dataset.", + "location": "The semantic map is centrally located within the image frame, occupying a majority of the central visual field but not extending to the edges.", + "size": "The semantic map does not have a uniform size but consists of multiple curvilinear structures of varying lengths and widths that collectively form a tree-like vascular network.", + "trend_shape": "The trend of the semantic map is branching, starting from a single, thicker line at the top that bifurcates and tapers into multiple thinner lines; the shape resembles a somewhat inverted tree with curving and intertwining branches suggestive of the coronary arterial system." + }, + { + "image": "XCAD\\training\\annotations\\00653_17.png", + "caption": "This image is a high-contrast, black and white semantic map or ground truth (GT) representing the arterial structure derived from an X-ray coronary angiography.The dataset is known as the XCAD dataset.The semantic map is centrally located within the image, occupying the majority of the space and is depicted against a uniformly black background for clear visibility.The size of the semantic map is expansive relative to the image, with the arterial structure extending to the top and both sides within the image frame, suggesting it is a zoomed-in section or a focus on a specific region of interest within the cardiovascular system.The trend of the semantic map shows a complex network of branching curvilinear features representing coronary arteries and their branches. The main vessel bifurcates from the bottom towards the top left, with multiple branching points forming a dendritic pattern. The shape of the semantic map exhibits varying curvilinear widths, indicating different artery sizes, with smooth curves and occasional sharper angles representing the natural anatomy of a coronary artery system.", + "overview": "This image is a high-contrast, black and white semantic map or ground truth (GT) representing the arterial structure derived from an X-ray coronary angiography.", + "dataset": "The dataset is known as the XCAD dataset.", + "location": "The semantic map is centrally located within the image, occupying the majority of the space and is depicted against a uniformly black background for clear visibility.", + "size": "The size of the semantic map is expansive relative to the image, with the arterial structure extending to the top and both sides within the image frame, suggesting it is a zoomed-in section or a focus on a specific region of interest within the cardiovascular system.", + "trend_shape": "The trend of the semantic map shows a complex network of branching curvilinear features representing coronary arteries and their branches. The main vessel bifurcates from the bottom towards the top left, with multiple branching points forming a dendritic pattern. The shape of the semantic map exhibits varying curvilinear widths, indicating different artery sizes, with smooth curves and occasional sharper angles representing the natural anatomy of a coronary artery system." + }, + { + "image": "XCAD\\training\\annotations\\00763_27.png", + "caption": "Semantic map (GT) of X-ray coronary angiography presenting curvilinear structures on a homogeneous background;XCAD dataset;The semantic map is centrally positioned within the image, occupying a majority of the image space;The size of the semantic map is substantial relative to the image dimensions, presenting as a network of lines with varying thickness;The trend of the semantic map shows branching curvilinear patterns typical of coronary artery anatomy, with smooth, organic shapes forming a complex vascular tree structure.", + "overview": "Semantic map (GT) of X-ray coronary angiography presenting curvilinear structures on a homogeneous background;", + "dataset": "XCAD dataset;", + "location": "The semantic map is centrally positioned within the image, occupying a majority of the image space;", + "size": "The size of the semantic map is substantial relative to the image dimensions, presenting as a network of lines with varying thickness;", + "trend_shape": "The trend of the semantic map shows branching curvilinear patterns typical of coronary artery anatomy, with smooth, organic shapes forming a complex vascular tree structure." + }, + { + "image": "XCAD\\training\\annotations\\00907_43.png", + "caption": "Semantic map (GT) of coronary arteries extracted from an X-ray angiography image;XCAD dataset;The semantic map is centralized in the image, occupying most of the frame with clear margins separated from the edges;The size of the semantic map is large relative to the image frame, covering approximately 80% of the total image area with a high aspect ratio following the elongated structure of the arteries;The trend is serpentine with multiple curvilinear paths depicting the coronary arteries, showcasing a complex network with varying thickness, loops, and bifurcations characteristic of vascular structures.", + "overview": "Semantic map (GT) of coronary arteries extracted from an X-ray angiography image;", + "dataset": "XCAD dataset;", + "location": "The semantic map is centralized in the image, occupying most of the frame with clear margins separated from the edges;", + "size": "The size of the semantic map is large relative to the image frame, covering approximately 80% of the total image area with a high aspect ratio following the elongated structure of the arteries;", + "trend_shape": "The trend is serpentine with multiple curvilinear paths depicting the coronary arteries, showcasing a complex network with varying thickness, loops, and bifurcations characteristic of vascular structures." + }, + { + "image": "XCAD\\training\\annotations\\01130_36.png", + "caption": "The image depicts a semantic map (ground truth, GT) of X-ray coronary angiography outlines against a solid black background, highlighting the curvilinear structures typically observed in coronary angiograms.The dataset is the XCAD dataset.The semantic map is centrally located within the image, with the largest concentration of curvilinear features towards the center and upper-left portion of the map.The size of the semantic map is variable across the image, with some regions displaying thicker and more concentrated curvilinear features, while others show finer and sparser representations.The trend of the semantic map is curvilinear, with multiple branches and bifurcations resembling the vascular structure of coronary arteries; the shape varies from smooth, elongated curves to more complex intersections and junctions, indicative of a branching arterial network.", + "overview": "The image depicts a semantic map (ground truth, GT) of X-ray coronary angiography outlines against a solid black background, highlighting the curvilinear structures typically observed in coronary angiograms.", + "dataset": "The dataset is the XCAD dataset.", + "location": "The semantic map is centrally located within the image, with the largest concentration of curvilinear features towards the center and upper-left portion of the map.", + "size": "The size of the semantic map is variable across the image, with some regions displaying thicker and more concentrated curvilinear features, while others show finer and sparser representations.", + "trend_shape": "The trend of the semantic map is curvilinear, with multiple branches and bifurcations resembling the vascular structure of coronary arteries; the shape varies from smooth, elongated curves to more complex intersections and junctions, indicative of a branching arterial network." + }, + { + "image": "XCAD\\training\\annotations\\01251_32.png", + "caption": "This image represents a semantic map or ground truth (GT) depicting the vascular structure in an X-ray coronary angiography setting.The dataset name is XCAD.The semantic map is centralized within the image, covering the majority of the canvas while maintaining clear margins around the perimeter.The size of the semantic map is large, extending across the image virtually from top to bottom and side to side, utilizing the majority of the image space.The trend of the semantic map is a complex network of curvilinear structures representing coronary arteries, with a main trunk and multiple branching vessels of varying sizes and curvatures; the overall shape is an intricate, tree-like vascular pattern.", + "overview": "This image represents a semantic map or ground truth (GT) depicting the vascular structure in an X-ray coronary angiography setting.", + "dataset": "The dataset name is XCAD.", + "location": "The semantic map is centralized within the image, covering the majority of the canvas while maintaining clear margins around the perimeter.", + "size": "The size of the semantic map is large, extending across the image virtually from top to bottom and side to side, utilizing the majority of the image space.", + "trend_shape": "The trend of the semantic map is a complex network of curvilinear structures representing coronary arteries, with a main trunk and multiple branching vessels of varying sizes and curvatures; the overall shape is an intricate, tree-like vascular pattern." + }, + { + "image": "XCAD\\training\\annotations\\01759_32.png", + "caption": "This is a black and white semantic map representing the groundtruth (GT) overlay of the vascular structure from an X-ray coronary angiography image.The name of the dataset is XCAD.The semantic map is centrally positioned in the image, covering the majority of the image area without touching the edges, illustrating a simplified representation of the coronary arteries.The size of the semantic map is large, taking up most of the image canvas, and designed to be the focal point, allowing for clear visibility and analysis.The trend of the semantic map is a network of curvilinear structures branching out from a central trunk, with the shape resembling the coronary arterial tree; the lines are smooth and vary in thickness, representing different vessel calibers.", + "overview": "This is a black and white semantic map representing the groundtruth (GT) overlay of the vascular structure from an X-ray coronary angiography image.", + "dataset": "The name of the dataset is XCAD.", + "location": "The semantic map is centrally positioned in the image, covering the majority of the image area without touching the edges, illustrating a simplified representation of the coronary arteries.", + "size": "The size of the semantic map is large, taking up most of the image canvas, and designed to be the focal point, allowing for clear visibility and analysis.", + "trend_shape": "The trend of the semantic map is a network of curvilinear structures branching out from a central trunk, with the shape resembling the coronary arterial tree; the lines are smooth and vary in thickness, representing different vessel calibers." + }, + { + "image": "XCAD\\training\\annotations\\01965_47.png", + "caption": "This image depicts a semantic map (ground truth/GT) representing the arterial structure in an X-ray coronary angiography;The name of the dataset is XCAD;The semantic map is centrally located within the image, presented on a uniform black background;The size of the semantic map extends near the full width and height of the image, maximizing the use of the space provided;The trend of the semantic map includes multiple bifurcations and curvilinear paths that simulate coronary arteries; the shape of the semantic map is complex, with varying thickness and curvature resembling a natural arterial network.", + "overview": "This image depicts a semantic map (ground truth/GT) representing the arterial structure in an X-ray coronary angiography;", + "dataset": "The name of the dataset is XCAD;", + "location": "The semantic map is centrally located within the image, presented on a uniform black background;", + "size": "The size of the semantic map extends near the full width and height of the image, maximizing the use of the space provided;", + "trend_shape": "The trend of the semantic map includes multiple bifurcations and curvilinear paths that simulate coronary arteries; the shape of the semantic map is complex, with varying thickness and curvature resembling a natural arterial network." + }, + { + "image": "XCAD\\training\\annotations\\02020_31.png", + "caption": "Semantic map of coronary arteries highlighting curvilinear structures against a black background, representing the ground truth (GT) for a medical imaging analysis.XCAD dataset.The semantic map is centrally located within the image, occupying most of the visual field.The semantic map's size is large relative to the image frame, with the curvilinear structures extending towards the edges of the image.The trend of the semantic map is complex, with multiple branching patterns and varying line thicknesses; the shapes include elongated curves and smooth bifurcations characteristic of arterial structures.", + "overview": "Semantic map of coronary arteries highlighting curvilinear structures against a black background, representing the ground truth (GT) for a medical imaging analysis.", + "dataset": "XCAD dataset.", + "location": "The semantic map is centrally located within the image, occupying most of the visual field.", + "size": "The semantic map's size is large relative to the image frame, with the curvilinear structures extending towards the edges of the image.", + "trend_shape": "The trend of the semantic map is complex, with multiple branching patterns and varying line thicknesses; the shapes include elongated curves and smooth bifurcations characteristic of arterial structures." + }, + { + "image": "XCAD\\training\\annotations\\02208_30.png", + "caption": "This image is a black and white semantic map or ground truth (GT) representation of coronary arteries from an angiography image;The dataset is named XCAD;The semantic map is centrally located within the image, occupying most of the frame;The size of the semantic map is proportional to the image dimensions, comprising the majority of the image area with varying thickness of its curvilinear structures;The trend and shape of the semantic map include multiple curvilinear structures that represent arterial paths, branching intricately from a few major stems with a natural, smooth, and continuous curvature.", + "overview": "This image is a black and white semantic map or ground truth (GT) representation of coronary arteries from an angiography image;", + "dataset": "The dataset is named XCAD;", + "location": "The semantic map is centrally located within the image, occupying most of the frame;", + "size": "The size of the semantic map is proportional to the image dimensions, comprising the majority of the image area with varying thickness of its curvilinear structures;", + "trend_shape": "The trend and shape of the semantic map include multiple curvilinear structures that represent arterial paths, branching intricately from a few major stems with a natural, smooth, and continuous curvature." + }, + { + "image": "XCAD\\training\\annotations\\02429_20.png", + "caption": "This image is a high-contrast semantic map (GT) representing curvilinear structures;The semantic map is from the XCAD dataset;The semantic map is centrally located within the image boundaries, occupying a majority of the central image space;The map's size extends almost the full height and width of the image, with varying line thickness representing the curvilinear structures;The trend of the semantic map is mainly diagonal, with several curved and branching structures illustrating the complexity of vascular patterns, mimicking the appearance of coronary arteries as viewed in an X-ray angiography, with smooth, flowing lines and no sharp corners.", + "overview": "This image is a high-contrast semantic map (GT) representing curvilinear structures;", + "dataset": "The semantic map is from the XCAD dataset;", + "location": "The semantic map is centrally located within the image boundaries, occupying a majority of the central image space;", + "size": "The map's size extends almost the full height and width of the image, with varying line thickness representing the curvilinear structures;", + "trend_shape": "The trend of the semantic map is mainly diagonal, with several curved and branching structures illustrating the complexity of vascular patterns, mimicking the appearance of coronary arteries as viewed in an X-ray angiography, with smooth, flowing lines and no sharp corners." + }, + { + "image": "XCAD\\training\\annotations\\02961_51.png", + "caption": "This image is a monochromatic semantic map or ground truth (GT) representation of an X-ray coronary angiography with distinct curvilinear outlines depicting coronary arteries.The dataset is the XCAD dataset.The semantic map occupies the central to the lower portion of the image with negative space surrounding it uniformly on all sides, giving emphasis to the curvilinear structures depicted.The size of the semantic map is such that the coronary structures extend nearly the entire height of the image and half of the width, suggesting a high resolution with ample detail for analysis.The trend of the semantic map shows a main coronary artery branching from the top center down towards the lower left, with several curvilinear branches extending outwards, following a pattern indicative of arterial bifurcations. The shape of the semantic map varies from thicker main branches to thinner peripheral branches, displaying a natural tapering consistent with anatomical vasculature.", + "overview": "This image is a monochromatic semantic map or ground truth (GT) representation of an X-ray coronary angiography with distinct curvilinear outlines depicting coronary arteries.", + "dataset": "The dataset is the XCAD dataset.", + "location": "The semantic map occupies the central to the lower portion of the image with negative space surrounding it uniformly on all sides, giving emphasis to the curvilinear structures depicted.", + "size": "The size of the semantic map is such that the coronary structures extend nearly the entire height of the image and half of the width, suggesting a high resolution with ample detail for analysis.", + "trend_shape": "The trend of the semantic map shows a main coronary artery branching from the top center down towards the lower left, with several curvilinear branches extending outwards, following a pattern indicative of arterial bifurcations. The shape of the semantic map varies from thicker main branches to thinner peripheral branches, displaying a natural tapering consistent with anatomical vasculature." + }, + { + "image": "XCAD\\training\\annotations\\03099_17.png", + "caption": "The image represents a ground truth (GT) semantic map of X-ray coronary angiography, depicting arterial structures.This semantic map is from the XCAD dataset.The semantic map occupies the central and upper-left regions of the image, against a uniform black background.The map has a varying width along its length, starting with a broader base and tapering towards the ends.The trend of the semantic map is predominantly curvilinear, with smooth, undulating stretches as well as tighter curves and angles, reflecting the natural shape of coronary arteries.", + "overview": "The image represents a ground truth (GT) semantic map of X-ray coronary angiography, depicting arterial structures.", + "dataset": "This semantic map is from the XCAD dataset.", + "location": "The semantic map occupies the central and upper-left regions of the image, against a uniform black background.", + "size": "The map has a varying width along its length, starting with a broader base and tapering towards the ends.", + "trend_shape": "The trend of the semantic map is predominantly curvilinear, with smooth, undulating stretches as well as tighter curves and angles, reflecting the natural shape of coronary arteries." + }, + { + "image": "XCAD\\training\\annotations\\03268_26.png", + "caption": "The image is a black and white semantic map, representative of a ground truth (GT) for coronary artery structures in an X-ray angiography image.The dataset is named the XCAD dataset.The semantic map is centrally located within the image, occupying a major portion of the central and left side of the frame.The map is of variable size, with the main arterial branches exhibiting varying widths, the thickest branch being approximately one-eighth the width of the image, and the finest branches barely perceptible.The trend of the semantic map comprises several primary curvilinear branches that bifurcate into secondary and tertiary vessels; the shape of the main structures is sinuous with smooth and sweeping curves, while smaller branches tend to be more tortuous and angular.", + "overview": "The image is a black and white semantic map, representative of a ground truth (GT) for coronary artery structures in an X-ray angiography image.", + "dataset": "The dataset is named the XCAD dataset.", + "location": "The semantic map is centrally located within the image, occupying a major portion of the central and left side of the frame.", + "size": "The map is of variable size, with the main arterial branches exhibiting varying widths, the thickest branch being approximately one-eighth the width of the image, and the finest branches barely perceptible.", + "trend_shape": "The trend of the semantic map comprises several primary curvilinear branches that bifurcate into secondary and tertiary vessels; the shape of the main structures is sinuous with smooth and sweeping curves, while smaller branches tend to be more tortuous and angular." + }, + { + "image": "XCAD\\training\\annotations\\03397_42.png", + "caption": "Semantic map (GT) of a coronary artery network from an X-ray angiography image;XCAD dataset;Centrally located in the image, occupying the majority of the middle area with extensions towards the top and bottom edges;No actual dimensions provided, but relative to image size, the semantic map occupies a large portion with varying line widths representing different vessel sizes;Curvilinear trend with branching patterns emulating a vascular tree structure, predominantly vertical orientation with some diagonal and horizontal branching.", + "overview": "Semantic map (GT) of a coronary artery network from an X-ray angiography image;", + "dataset": "XCAD dataset;", + "location": "Centrally located in the image, occupying the majority of the middle area with extensions towards the top and bottom edges;", + "size": "No actual dimensions provided, but relative to image size, the semantic map occupies a large portion with varying line widths representing different vessel sizes;", + "trend_shape": "Curvilinear trend with branching patterns emulating a vascular tree structure, predominantly vertical orientation with some diagonal and horizontal branching." + }, + { + "image": "XCAD\\training\\annotations\\03580_27.png", + "caption": "This image depicts a semantic map, commonly known as a ground truth (GT), representing the curvilinear structures of coronary arteries from an X-ray coronary angiography.The name of the dataset is XCAD.The semantic map is positioned centrally within the image, occupying the majority of the space and is laid against a solid black background for contrast.The size of the semantic map is relatively large in relation the image canvas, extending almost the full height and width of the image, allowing for clear visibility of structural details.The trend of the semantic map is an intricate curvilinear pattern that resembles the branching structure of blood vessels in the human heart, with a main trunk artery curving downwards and branching into smaller arteries, ranging from linear to complex branching shapes.", + "overview": "This image depicts a semantic map, commonly known as a ground truth (GT), representing the curvilinear structures of coronary arteries from an X-ray coronary angiography.", + "dataset": "The name of the dataset is XCAD.", + "location": "The semantic map is positioned centrally within the image, occupying the majority of the space and is laid against a solid black background for contrast.", + "size": "The size of the semantic map is relatively large in relation the image canvas, extending almost the full height and width of the image, allowing for clear visibility of structural details.", + "trend_shape": "The trend of the semantic map is an intricate curvilinear pattern that resembles the branching structure of blood vessels in the human heart, with a main trunk artery curving downwards and branching into smaller arteries, ranging from linear to complex branching shapes." + }, + { + "image": "XCAD\\training\\annotations\\04552_31.png", + "caption": "Semantic map (GT) of coronary arteries from an X-ray angiography image;XCAD dataset;The semantic map is centrally located, occupying a majority of the image area with clear space around the periphery;The size of the semantic map is medium, with sufficient detail to represent major and minor arterial branches;The trend of the semantic map includes multiple curvilinear structures extending outward, with the shape resembling tree-like branching patterns indicative of the arterial network.", + "overview": "Semantic map (GT) of coronary arteries from an X-ray angiography image;", + "dataset": "XCAD dataset;", + "location": "The semantic map is centrally located, occupying a majority of the image area with clear space around the periphery;", + "size": "The size of the semantic map is medium, with sufficient detail to represent major and minor arterial branches;", + "trend_shape": "The trend of the semantic map includes multiple curvilinear structures extending outward, with the shape resembling tree-like branching patterns indicative of the arterial network." + }, + { + "image": "XCAD\\training\\annotations\\05071_11.png", + "caption": "Semantic map (GT) featuring high-contrast curvilinear structures against a dark background; 2. XCAD dataset; 3. Central location with structures extending outward from a common point in the upper left quadrant to the periphery; 4. Occupies a majority of the image canvas with varying widths in curvilinear structures; 5. Branching pattern emulating a vascular or arboreal system with primary, secondary, and tertiary branches, featuring smooth curves and bifurcations.", + "overview": "Semantic map (GT) featuring high-contrast curvilinear structures against a dark background; 2. XCAD dataset; 3. Central location with structures extending outward from a common point in the upper left quadrant to the periphery; 4. Occupies a majority of the image canvas with varying widths in curvilinear structures; 5. Branching pattern emulating a vascular or arboreal system with primary, secondary, and tertiary branches, featuring smooth curves and bifurcations." + }, + { + "image": "XCAD\\training\\annotations\\05143_11.png", + "caption": "Semantic map (GT) of coronary arteries depicted in white on a black background, representing the structure and layout of the vessels;XCAD dataset;The semantic map is centrally located, occupying the majority of the image area;The size of the semantic map appears to cover approximately 70-80% of the image canvas, with high contrast against the background;The trend of the semantic map shows a complex, branching pattern typical of coronary arteries, exhibiting both smooth curvilinear segments and bifurcations; the shape follows anatomical variations and intricacies with varying vessel diameters and curvatures.", + "overview": "Semantic map (GT) of coronary arteries depicted in white on a black background, representing the structure and layout of the vessels;", + "dataset": "XCAD dataset;", + "location": "The semantic map is centrally located, occupying the majority of the image area;", + "size": "The size of the semantic map appears to cover approximately 70-80% of the image canvas, with high contrast against the background;", + "trend_shape": "The trend of the semantic map shows a complex, branching pattern typical of coronary arteries, exhibiting both smooth curvilinear segments and bifurcations; the shape follows anatomical variations and intricacies with varying vessel diameters and curvatures." + }, + { + "image": "XCAD\\training\\annotations\\05470_45.png", + "caption": "This image depicts a semantic map or ground truth (GT) representation used for medical image analysis, specifically for the visualization and identification of coronary arteries within the heart as observed in X-ray coronary angiography.The dataset from which this image is derived is named the XCAD dataset.The semantic map is centrally located within the image, occupying the majority of the visual space.The size of the semantic map is relatively large in relation to the image, extending from the top to the bottom edge and filling the central and left portions of the image, with curvilinear structures varying in thickness.The trend and shape of the semantic map present intricate and interwoven curvilinear structures that mimic the branching patterns of vascular structures in the heart. These curvilinear features emulate the arterial pathways, showcasing various curves, bends, and intersections typical of coronary artery anatomy.", + "overview": "This image depicts a semantic map or ground truth (GT) representation used for medical image analysis, specifically for the visualization and identification of coronary arteries within the heart as observed in X-ray coronary angiography.", + "dataset": "The dataset from which this image is derived is named the XCAD dataset.", + "location": "The semantic map is centrally located within the image, occupying the majority of the visual space.", + "size": "The size of the semantic map is relatively large in relation to the image, extending from the top to the bottom edge and filling the central and left portions of the image, with curvilinear structures varying in thickness.", + "trend_shape": "The trend and shape of the semantic map present intricate and interwoven curvilinear structures that mimic the branching patterns of vascular structures in the heart. These curvilinear features emulate the arterial pathways, showcasing various curves, bends, and intersections typical of coronary artery anatomy." + }, + { + "image": "XCAD\\training\\annotations\\05698_52.png", + "caption": "This image displays a semantic map or ground truth (GT) representing the vascular structure extracted from an X-ray coronary angiography.The name of the dataset is the XCAD dataset.The semantic map is centrally located, extending from the top left corner to the bottom right corner of the image.The size of the semantic map is variable, with varying line thickness and lengths; the lines depict the arterial structure with fine to moderate thickness ranging approximately from 1 to 5 pixels in width.The trend of the semantic map is predominantly vertical and diagonal, with a complex curvilinear shape that branches and curves to represent the coronary arterial tree, including both main vessels and finer branches.", + "overview": "This image displays a semantic map or ground truth (GT) representing the vascular structure extracted from an X-ray coronary angiography.", + "dataset": "The name of the dataset is the XCAD dataset.", + "location": "The semantic map is centrally located, extending from the top left corner to the bottom right corner of the image.", + "size": "The size of the semantic map is variable, with varying line thickness and lengths; the lines depict the arterial structure with fine to moderate thickness ranging approximately from 1 to 5 pixels in width.", + "trend_shape": "The trend of the semantic map is predominantly vertical and diagonal, with a complex curvilinear shape that branches and curves to represent the coronary arterial tree, including both main vessels and finer branches." + }, + { + "image": "XCAD\\training\\annotations\\05992_37.png", + "caption": "Semantic map (GT) of coronary arteries from an X-ray angiography;XCAD dataset;Central positioning, occupying the majority of the image canvas;Variable thickness ranging from thin filament-like structures to broader curvilinear shapes, extending throughout the image without touching the boundaries;The semantic map consists of multiple branching, sinuous curvilinear structures resembling arterial pathways with a variable trend of curvature, including some abrupt turns and gentle sweeping bends.", + "overview": "Semantic map (GT) of coronary arteries from an X-ray angiography;", + "dataset": "XCAD dataset;", + "location": "Central positioning, occupying the majority of the image canvas;", + "size": "Variable thickness ranging from thin filament-like structures to broader curvilinear shapes, extending throughout the image without touching the boundaries;", + "trend_shape": "The semantic map consists of multiple branching, sinuous curvilinear structures resembling arterial pathways with a variable trend of curvature, including some abrupt turns and gentle sweeping bends." + }, + { + "image": "XCAD\\training\\annotations\\06027_24.png", + "caption": "High-contrast curvilinear structures on a dark background representing the semantic map or ground truth (GT) for coronary artery analysis.XCAD dataset.Central positioning of the semantic map occupying most of the image area.Variable width of the curvilinear structures, with the overall size of the map conforming to the dimensions of the image canvas.Branching and tapering vessels with smooth curves and bifurcations; the principal vessel has a sinuous shape extending from top to bottom, with secondary vessels diverging at various angles and curvatures.", + "overview": "High-contrast curvilinear structures on a dark background representing the semantic map or ground truth (GT) for coronary artery analysis.", + "dataset": "XCAD dataset.", + "location": "Central positioning of the semantic map occupying most of the image area.", + "size": "Variable width of the curvilinear structures, with the overall size of the map conforming to the dimensions of the image canvas.", + "trend_shape": "Branching and tapering vessels with smooth curves and bifurcations; the principal vessel has a sinuous shape extending from top to bottom, with secondary vessels diverging at various angles and curvatures." + }, + { + "image": "XCAD\\training\\annotations\\06353_25.png", + "caption": "Semantic map of coronary arteries as ground truth (GT) extracted from an X-ray angiography image; 2. XCAD dataset; 3. Centralized within the image boundaries, occupying the upper and central regions of the frame; 4. Varies in width from 1 pixel to approximately 30 pixels at the widest points, with a length extending the majority of the image height; 5. Tree-like branching pattern emanating from a single thick root, curvilinear structures with multiple bifurcations and tapering towards the periphery, predominantly vertical orientation with some horizontal and diagonal segments.", + "overview": "Semantic map of coronary arteries as ground truth (GT) extracted from an X-ray angiography image; 2. XCAD dataset; 3. Centralized within the image boundaries, occupying the upper and central regions of the frame; 4. Varies in width from 1 pixel to approximately 30 pixels at the widest points, with a length extending the majority of the image height; 5. Tree-like branching pattern emanating from a single thick root, curvilinear structures with multiple bifurcations and tapering towards the periphery, predominantly vertical orientation with some horizontal and diagonal segments." + }, + { + "image": "XCAD\\training\\annotations\\06871_20.png", + "caption": "High-contrast semantic map of coronary arteries from an X-ray coronary angiography, denoted as a groundtruth (GT) image;XCAD dataset;The semantic map is centrally oriented, predominantly occupying the middle portion of the image with extensions to the upper and lower regions;Varied vessel sizes with some areas depicting finer, thread-like structures and others featuring thicker, tubular shapes;Smooth, sinuous trend of the depicted vessels with several branching points and curvilinear shapes forming a complex vascular network.", + "overview": "High-contrast semantic map of coronary arteries from an X-ray coronary angiography, denoted as a groundtruth (GT) image;", + "dataset": "XCAD dataset;", + "location": "The semantic map is centrally oriented, predominantly occupying the middle portion of the image with extensions to the upper and lower regions;", + "size": "Varied vessel sizes with some areas depicting finer, thread-like structures and others featuring thicker, tubular shapes;", + "trend_shape": "Smooth, sinuous trend of the depicted vessels with several branching points and curvilinear shapes forming a complex vascular network." + }, + { + "image": "XCAD\\training\\annotations\\07670_39.png", + "caption": "This image is a semantic map or ground truth (GT) representing the vascular structure in an X-ray coronary angiography; 2. It is from the XCAD dataset; 3. The semantic map is centrally located, covering the majority of the image field; 4. The size of the semantic map is large, taking up most of the image canvas; 5. The trend of the semantic map is a complex web of curvilinear structures branching out from a central trunk, with varying thickness and lengths, mimicking the natural distribution of coronary arteries, and the shape is organic with smooth, flowing lines and bifurcations, resembling a tree-like vascular system.", + "overview": "This image is a semantic map or ground truth (GT) representing the vascular structure in an X-ray coronary angiography; 2. It is from the XCAD dataset; 3. The semantic map is centrally located, covering the majority of the image field; 4. The size of the semantic map is large, taking up most of the image canvas; 5. The trend of the semantic map is a complex web of curvilinear structures branching out from a central trunk, with varying thickness and lengths, mimicking the natural distribution of coronary arteries, and the shape is organic with smooth, flowing lines and bifurcations, resembling a tree-like vascular system." + }, + { + "image": "XCAD\\training\\annotations\\08083_20.png", + "caption": "This image is a semantic map, or ground truth (GT), representing the curvilinear structures identified in an X-ray coronary angiography; 2. The dataset is named XCAD; 3. The semantic map is centrally located within the image, predominantly occupying the middle portion and extending towards the periphery; 4. The semantic map's size is substantial as it spreads across a majority of the image canvas, with varying thickness of lines; 5. The trend of the semantic map is complex, featuring multiple branching patterns that emanate from several focal points, characterized by curvilinear shapes that simulate the arterial branches of a coronary system, with both primary and secondary bifurcations.", + "overview": "This image is a semantic map, or ground truth (GT), representing the curvilinear structures identified in an X-ray coronary angiography; 2. The dataset is named XCAD; 3. The semantic map is centrally located within the image, predominantly occupying the middle portion and extending towards the periphery; 4. The semantic map's size is substantial as it spreads across a majority of the image canvas, with varying thickness of lines; 5. The trend of the semantic map is complex, featuring multiple branching patterns that emanate from several focal points, characterized by curvilinear shapes that simulate the arterial branches of a coronary system, with both primary and secondary bifurcations." + }, + { + "image": "XCAD\\training\\annotations\\08449_36.png", + "caption": "This is a high-contrast semantic map (GT) representing the arterial structures visible in an X-ray coronary angiography image;The semantic map is from the XCAD dataset;The map is centrally located, occupying the majority of the image field with clear space around its perimeter;The semantic map dimensions correspond to the full resolution of the image, with intricate curvilinear features extending throughout the image area;The arterial structures depicted are complex and curvilinear, with varying thickness and curviness, including branching patterns and loops indicative of coronary arterial anatomy.", + "overview": "This is a high-contrast semantic map (GT) representing the arterial structures visible in an X-ray coronary angiography image;", + "dataset": "The semantic map is from the XCAD dataset;", + "location": "The map is centrally located, occupying the majority of the image field with clear space around its perimeter;", + "size": "The semantic map dimensions correspond to the full resolution of the image, with intricate curvilinear features extending throughout the image area;", + "trend_shape": "The arterial structures depicted are complex and curvilinear, with varying thickness and curviness, including branching patterns and loops indicative of coronary arterial anatomy." + }, + { + "image": "XCAD\\training\\annotations\\09404_24.png", + "caption": "This is a semantic map or ground truth (GT) of an X-ray coronary angiography image, depicting the outlined structure of coronary arteries.The dataset name is XCAD.The semantic map is centrally located in the image, occupying both the left and right side areas with a relatively balanced distribution.The size of the semantic map is large, covering a significant portion of the image canvas, although the specific dimensions are not provided.The trend of the curvilinear objects in the semantic map is meandering, with both smooth and sharp turns indicative of coronary artery pathways; the shape includes branching segments with varying thicknesses, which taper toward the ends.", + "overview": "This is a semantic map or ground truth (GT) of an X-ray coronary angiography image, depicting the outlined structure of coronary arteries.", + "dataset": "The dataset name is XCAD.", + "location": "The semantic map is centrally located in the image, occupying both the left and right side areas with a relatively balanced distribution.", + "size": "The size of the semantic map is large, covering a significant portion of the image canvas, although the specific dimensions are not provided.", + "trend_shape": "The trend of the curvilinear objects in the semantic map is meandering, with both smooth and sharp turns indicative of coronary artery pathways; the shape includes branching segments with varying thicknesses, which taper toward the ends." + }, + { + "image": "XCAD\\training\\annotations\\09691_30.png", + "caption": "This image is a high-contrast semantic map or ground truth (GT) representation of curvilinear structures, indicative of coronary arteries as seen in an X-ray coronary angiography.The image is from the XCAD dataset.The semantic map is centrally oriented, covering the majority of the image space with a distribution that is skewed toward the left side of the image.The semantic map varies in size, with the largest structure presenting as a thick, principal curve that tapers into finer branches and tributaries, spanning across the image with significant curvilinear length.The trend of the semantic map is dominantly vertical with several curves angling off to the sides, and the shape consists of multiple branching and converging lines with a few acute angles and bifurcations, resembling a tree-like vascular pattern.", + "overview": "This image is a high-contrast semantic map or ground truth (GT) representation of curvilinear structures, indicative of coronary arteries as seen in an X-ray coronary angiography.", + "dataset": "The image is from the XCAD dataset.", + "location": "The semantic map is centrally oriented, covering the majority of the image space with a distribution that is skewed toward the left side of the image.", + "size": "The semantic map varies in size, with the largest structure presenting as a thick, principal curve that tapers into finer branches and tributaries, spanning across the image with significant curvilinear length.", + "trend_shape": "The trend of the semantic map is dominantly vertical with several curves angling off to the sides, and the shape consists of multiple branching and converging lines with a few acute angles and bifurcations, resembling a tree-like vascular pattern." + }, + { + "image": "XCAD\\training\\annotations\\09790_25.png", + "caption": "A high-contrast, black background semantic map representing the arterial structure typical of an X-ray coronary angiography ground truth (GT) from the XCAD dataset.XCAD dataset.The semantic map is centrally located, occupying the central and upper portions of the image, with less density towards the image's bottom and left-hand side.The size of the semantic map is large relative to the image, with the curvilinear structures extending across the majority of the picture, leaving narrow margins around the periphery. The exact pixel dimensions are not specified.The trend of the semantic map is predominantly vertical with several branching patterns extending outward in a curved, fractal-like nature; the shapes are reminiscent of elongated, curved, and tapering blood vessels with varying diameters, including primary trunks that bifurcate into progressively smaller branches, illustrating arterial path variations and topology.", + "overview": "A high-contrast, black background semantic map representing the arterial structure typical of an X-ray coronary angiography ground truth (GT) from the XCAD dataset.", + "dataset": "XCAD dataset.", + "location": "The semantic map is centrally located, occupying the central and upper portions of the image, with less density towards the image's bottom and left-hand side.", + "size": "The size of the semantic map is large relative to the image, with the curvilinear structures extending across the majority of the picture, leaving narrow margins around the periphery. The exact pixel dimensions are not specified.", + "trend_shape": "The trend of the semantic map is predominantly vertical with several branching patterns extending outward in a curved, fractal-like nature; the shapes are reminiscent of elongated, curved, and tapering blood vessels with varying diameters, including primary trunks that bifurcate into progressively smaller branches, illustrating arterial path variations and topology." + }, + { + "image": "XCAD\\training\\annotations\\09892_30.png", + "caption": "Groundtruth (GT) semantic map of coronary arteries extracted from X-ray angiography; 2. XCAD dataset; 3. The semantic map is centrally located against a black background, occupying the majority of the image space; 4. The size of the map is large relative to the image, extending to the edges; 5. The map features curvilinear structures that resemble arterial branches with varying curvature and bifurcations, trending from the top left to the bottom right, with the primary vessel being the thickest and branching out into thinner vessels.", + "overview": "Groundtruth (GT) semantic map of coronary arteries extracted from X-ray angiography; 2. XCAD dataset; 3. The semantic map is centrally located against a black background, occupying the majority of the image space; 4. The size of the map is large relative to the image, extending to the edges; 5. The map features curvilinear structures that resemble arterial branches with varying curvature and bifurcations, trending from the top left to the bottom right, with the primary vessel being the thickest and branching out into thinner vessels." + }, + { + "image": "XCAD\\training\\annotations\\10538_45.png", + "caption": "This image is a high-contrast, black-and-white semantic map or ground truth (GT) representing the curvilinear structures in an X-ray coronary angiography.The dataset is known as the XCAD dataset.The semantic map is centrally located within the image, occupying a majority of the space and does not touch the image borders, providing clear separation from the edges.The size of the semantic map is significant, with the curvilinear structures varying in length and width, covering both the upper and lower halves of the image canvas in a branching pattern.The trend of the semantic map is curvilinear with a complex, branching structure resembling arterial vessels; the shapes within the map have smooth, curved lines that interconnect at various junctions, with widths that taper off along their length.", + "overview": "This image is a high-contrast, black-and-white semantic map or ground truth (GT) representing the curvilinear structures in an X-ray coronary angiography.", + "dataset": "The dataset is known as the XCAD dataset.", + "location": "The semantic map is centrally located within the image, occupying a majority of the space and does not touch the image borders, providing clear separation from the edges.", + "size": "The size of the semantic map is significant, with the curvilinear structures varying in length and width, covering both the upper and lower halves of the image canvas in a branching pattern.", + "trend_shape": "The trend of the semantic map is curvilinear with a complex, branching structure resembling arterial vessels; the shapes within the map have smooth, curved lines that interconnect at various junctions, with widths that taper off along their length." + }, + { + "image": "XCAD\\training\\annotations\\10876_24.png", + "caption": "This image depicts a white-on-black semantic map representing the arterial structure from an X-ray coronary angiography, tagged as a ground truth (GT) for model training.Dataset: XCAD.The semantic map is centered and occupies the majority of the image space, with clear boundaries and a high contrast against the black background.The size of the semantic map extends almost to the edges of the square image, leveraging maximum available space while maintaining clear delineation of arterial features.The trend of the semantic map displays a complex network of branching and curving lines, with varying line thickness that suggests different arterial widths. The shape follows realistic anatomical patterns resembling a coronary artery system, with smooth curves and bifurcations indicative of blood vessel structure.", + "overview": "This image depicts a white-on-black semantic map representing the arterial structure from an X-ray coronary angiography, tagged as a ground truth (GT) for model training.", + "dataset": "Dataset: XCAD.", + "location": "The semantic map is centered and occupies the majority of the image space, with clear boundaries and a high contrast against the black background.", + "size": "The size of the semantic map extends almost to the edges of the square image, leveraging maximum available space while maintaining clear delineation of arterial features.", + "trend_shape": "The trend of the semantic map displays a complex network of branching and curving lines, with varying line thickness that suggests different arterial widths. The shape follows realistic anatomical patterns resembling a coronary artery system, with smooth curves and bifurcations indicative of blood vessel structure." + }, + { + "image": "XCAD\\training\\annotations\\10923_31.png", + "caption": "Semantic map (GT) of coronary arteries from an X-ray coronary angiography image; 2. XCAD dataset; 3. Located centrally against a solid black background, covering a majority of the image space; 4. The size is large relative to the image, with curvilinear objects densely populating the central region; 5. The curvilinear objects have a branching tree-like structure with varied curvatures and thicknesses resembling blood vessels, extending outwards from a central main branch.", + "overview": "Semantic map (GT) of coronary arteries from an X-ray coronary angiography image; 2. XCAD dataset; 3. Located centrally against a solid black background, covering a majority of the image space; 4. The size is large relative to the image, with curvilinear objects densely populating the central region; 5. The curvilinear objects have a branching tree-like structure with varied curvatures and thicknesses resembling blood vessels, extending outwards from a central main branch." + }, + { + "image": "XCAD\\training\\annotations\\11104_36.png", + "caption": "This is a black and white semantic map (GT) depicting the vascular structure within an X-ray coronary angiography image;The dataset is XCAD;The semantic map is positioned centrally within the image, occupying a majority of the canvas with clear margins around the periphery;The size of the semantic map is consistent with the image resolution, which appears to be 512x512 pixels, evidenced by the full usage of the square canvas to represent the vascular pathways;The trend of the semantic map shows an intricate network of curvilinear forms representing the coronary arteries; the shapes range from thick curving main branches to finer bifurcating vessels extending towards the outer edges of the map, highlighting the complex branching pattern typical of coronary arterial structures.", + "overview": "This is a black and white semantic map (GT) depicting the vascular structure within an X-ray coronary angiography image;", + "dataset": "The dataset is XCAD;", + "location": "The semantic map is positioned centrally within the image, occupying a majority of the canvas with clear margins around the periphery;", + "size": "The size of the semantic map is consistent with the image resolution, which appears to be 512x512 pixels, evidenced by the full usage of the square canvas to represent the vascular pathways;", + "trend_shape": "The trend of the semantic map shows an intricate network of curvilinear forms representing the coronary arteries; the shapes range from thick curving main branches to finer bifurcating vessels extending towards the outer edges of the map, highlighting the complex branching pattern typical of coronary arterial structures." + }, + { + "image": "XCAD\\training\\annotations\\11710_17.png", + "caption": "This image depicts a white-on-black background semantic map or ground truth (GT) representation of coronary arteries extracted from X-ray angiography.The dataset is named XCAD.The semantic map of the coronary artery branches occupies the central and left portions of the image, against a uniform black background.The size of the semantic map extends to a majority of the image dimensions but does not fill the image completely; the exact pixel dimensions are not provided.The trend and shape of the semantic map indicate a complex network of curvilinear structures with varying curvature and bifurcation; it includes both thicker primary vessels and thinner branching vessels, suggestive of a coronary arterial tree.", + "overview": "This image depicts a white-on-black background semantic map or ground truth (GT) representation of coronary arteries extracted from X-ray angiography.", + "dataset": "The dataset is named XCAD.", + "location": "The semantic map of the coronary artery branches occupies the central and left portions of the image, against a uniform black background.", + "size": "The size of the semantic map extends to a majority of the image dimensions but does not fill the image completely; the exact pixel dimensions are not provided.", + "trend_shape": "The trend and shape of the semantic map indicate a complex network of curvilinear structures with varying curvature and bifurcation; it includes both thicker primary vessels and thinner branching vessels, suggestive of a coronary arterial tree." + }, + { + "image": "XCAD\\training\\annotations\\11970_24.png", + "caption": "Semantic map (GT) of a coronary angiography representing curvilinear structures indicative of coronary arteries; 2. XCAD dataset; 3. Centralized in the image against a solid black background; 4. Extends nearly the full height and a significant width proportion of the image, though exact pixel dimensions are unspecified; 5. The semantic map features continuous, smooth curvilinear paths with bifurcations, representing the major coronary arteries with a decreasing trend in width as the vessels branch out, emulating a tree-like vascular structure.", + "overview": "Semantic map (GT) of a coronary angiography representing curvilinear structures indicative of coronary arteries; 2. XCAD dataset; 3. Centralized in the image against a solid black background; 4. Extends nearly the full height and a significant width proportion of the image, though exact pixel dimensions are unspecified; 5. The semantic map features continuous, smooth curvilinear paths with bifurcations, representing the major coronary arteries with a decreasing trend in width as the vessels branch out, emulating a tree-like vascular structure." + }, + { + "image": "XCAD\\training\\annotations\\12416_22.png", + "caption": "This image depicts a semantic map or ground truth (GT) for delineating curvilinear structures.The image is from the XCAD dataset.The semantic map is centrally located within the image, extending from the top to the bottom, predominantly occupying the center and slightly skewed to the left-hand side of the frame.The size of the semantic map is robust, occupying a majority of the image space with a variable width that tapers at the ends of the curvilinear structures.The trend of the semantic map is composed of multiple curving lines representing coronary arteries; the shapes are sinuous with both smooth and slightly sharper curves, interconnecting at various junctions and bifurcating along their paths.", + "overview": "This image depicts a semantic map or ground truth (GT) for delineating curvilinear structures.", + "dataset": "The image is from the XCAD dataset.", + "location": "The semantic map is centrally located within the image, extending from the top to the bottom, predominantly occupying the center and slightly skewed to the left-hand side of the frame.", + "size": "The size of the semantic map is robust, occupying a majority of the image space with a variable width that tapers at the ends of the curvilinear structures.", + "trend_shape": "The trend of the semantic map is composed of multiple curving lines representing coronary arteries; the shapes are sinuous with both smooth and slightly sharper curves, interconnecting at various junctions and bifurcating along their paths." + }, + { + "image": "XCAD\\training\\annotations\\12522_29.png", + "caption": "This image represents a monochrome semantic map or ground truth (GT), depicting the branching structure typical of an X-ray coronary angiography.The dataset is referred to as the XCAD dataset.The semantic map is centrally located within the image frame, occupying the majority of the visual space.The size of the semantic map spans almost the entire width and height of the image, with minimal white space around the edges, indicating a large-scale depiction relative to the image frame.The trend of the semantic map shows a complex network of interconnected curvilinear structures emanating from a central trunk, branching out extensively with varying curvatures and bifurcations, resembling the vascular system of a human heart. The strokes representing the arteries are smooth and continuous with varied thicknesses, illustrating the differences in vessel size and flow. The overall shape demonstrates a natural and organic flow, emphasizing the anatomy of coronary arteries.", + "overview": "This image represents a monochrome semantic map or ground truth (GT), depicting the branching structure typical of an X-ray coronary angiography.", + "dataset": "The dataset is referred to as the XCAD dataset.", + "location": "The semantic map is centrally located within the image frame, occupying the majority of the visual space.", + "size": "The size of the semantic map spans almost the entire width and height of the image, with minimal white space around the edges, indicating a large-scale depiction relative to the image frame.", + "trend_shape": "The trend of the semantic map shows a complex network of interconnected curvilinear structures emanating from a central trunk, branching out extensively with varying curvatures and bifurcations, resembling the vascular system of a human heart. The strokes representing the arteries are smooth and continuous with varied thicknesses, illustrating the differences in vessel size and flow. The overall shape demonstrates a natural and organic flow, emphasizing the anatomy of coronary arteries." + }, + { + "image": "XCAD\\training\\annotations\\12963_27.png", + "caption": "This is a semantic map (Ground Truth/GT) of a coronary angiography from the XCAD dataset.Dataset name: XCAD.The semantic map is centrally located within the image, displaying a network of curvilinear structures.The size of the semantic map is relatively large in comparison to the image frame, occupying a majority of the image space.The trend of the semantic map depicts multiple branching vessels with varying curves and angles, resembling arterial vasculature. The shape of the semantic structures is elongated and tapering, mimicking the natural arborization pattern seen in coronary arteries.", + "overview": "This is a semantic map (Ground Truth/GT) of a coronary angiography from the XCAD dataset.", + "dataset": "Dataset name: XCAD.", + "location": "The semantic map is centrally located within the image, displaying a network of curvilinear structures.", + "size": "The size of the semantic map is relatively large in comparison to the image frame, occupying a majority of the image space.", + "trend_shape": "The trend of the semantic map depicts multiple branching vessels with varying curves and angles, resembling arterial vasculature. The shape of the semantic structures is elongated and tapering, mimicking the natural arborization pattern seen in coronary arteries." + }, + { + "image": "XCAD\\training\\annotations\\13011_18.png", + "caption": "A black background with white curvilinear structures representing the vasculature in a semantic map or ground truth (GT) of an X-ray coronary angiography.XCAD dataset.The semantic map is centrally located within the image, occupying the majority of the image area.The semantic map varies in the thickness of lines and covers a large portion of the image, though an exact size measurement is not provided.The trend of the semantic map is complex, with multiple branching points resembling a tree-like vascular system; the shape is curvilinear with varying curvature and bifurcations indicating arterial segments.", + "overview": "A black background with white curvilinear structures representing the vasculature in a semantic map or ground truth (GT) of an X-ray coronary angiography.", + "dataset": "XCAD dataset.", + "location": "The semantic map is centrally located within the image, occupying the majority of the image area.", + "size": "The semantic map varies in the thickness of lines and covers a large portion of the image, though an exact size measurement is not provided.", + "trend_shape": "The trend of the semantic map is complex, with multiple branching points resembling a tree-like vascular system; the shape is curvilinear with varying curvature and bifurcations indicating arterial segments." + }, + { + "image": "XCAD\\training\\annotations\\13103_32.png", + "caption": "Semantic map (ground truth) of coronary arteries extracted from an X-ray coronary angiography image;XCAD dataset;The semantic map is centrally located, covering the majority of the image frame with spatial concentration towards the upper half of the image;The size of the semantic map is considerable, occupying a large portion of the image canvas with fine, branching structures that taper towards the edges;The semantic map displays a complex, arborescent pattern with multiple curvilinear segments radiating and bifurcating from a central trunk, exhibiting a tree-like structure with varying curvature and branch thickness.", + "overview": "Semantic map (ground truth) of coronary arteries extracted from an X-ray coronary angiography image;", + "dataset": "XCAD dataset;", + "location": "The semantic map is centrally located, covering the majority of the image frame with spatial concentration towards the upper half of the image;", + "size": "The size of the semantic map is considerable, occupying a large portion of the image canvas with fine, branching structures that taper towards the edges;", + "trend_shape": "The semantic map displays a complex, arborescent pattern with multiple curvilinear segments radiating and bifurcating from a central trunk, exhibiting a tree-like structure with varying curvature and branch thickness." + }, + { + "image": "XCAD\\training\\annotations\\13704_16.png", + "caption": "This is a semantic map ground truth (GT) of a curvilinear structure, depicting a network of lines to represent the arteries in an X-ray coronary angiography image;The dataset name is XCAD;The semantic map is centrally located within the image, with no other objects or annotations present;The size of the semantic map appears to occupy the majority of the image space, with the lines varying in width and completeness;The trend of the semantic map is sinuous with smooth curvatures and multiple bends, resembling arterial pathways; its shape includes branching patterns, with some segments tapering to fine points, indicative of smaller vessels extending from main arterial paths.", + "overview": "This is a semantic map ground truth (GT) of a curvilinear structure, depicting a network of lines to represent the arteries in an X-ray coronary angiography image;", + "dataset": "The dataset name is XCAD;", + "location": "The semantic map is centrally located within the image, with no other objects or annotations present;", + "size": "The size of the semantic map appears to occupy the majority of the image space, with the lines varying in width and completeness;", + "trend_shape": "The trend of the semantic map is sinuous with smooth curvatures and multiple bends, resembling arterial pathways; its shape includes branching patterns, with some segments tapering to fine points, indicative of smaller vessels extending from main arterial paths." + }, + { + "image": "XCAD\\training\\annotations\\13902_16.png", + "caption": "This image features a white-on-black semantic map representing the ground truth (GT) of coronary arteries extracted from an X-ray angiography image;The dataset is named XCAD;The semantic map is centrally located, occupying a majority of the image space but not reaching the image boundaries;The size of the semantic map is substantial in relation to the image, with varying thickness in the curvilinear structures that suggest the representation of major coronary arteries and their branches;The trend of this map follows a complex, branching structure that emanates from the top left quadrant and extends downward, with the main vessel curving towards the bottom right corner and smaller branches diverging in multiple directions, embodying the typical anatomy of a coronary artery system. The shapes are smoothly curvilinear, indicative of the natural flow pathways in coronary angiography.", + "overview": "This image features a white-on-black semantic map representing the ground truth (GT) of coronary arteries extracted from an X-ray angiography image;", + "dataset": "The dataset is named XCAD;", + "location": "The semantic map is centrally located, occupying a majority of the image space but not reaching the image boundaries;", + "size": "The size of the semantic map is substantial in relation to the image, with varying thickness in the curvilinear structures that suggest the representation of major coronary arteries and their branches;", + "trend_shape": "The trend of this map follows a complex, branching structure that emanates from the top left quadrant and extends downward, with the main vessel curving towards the bottom right corner and smaller branches diverging in multiple directions, embodying the typical anatomy of a coronary artery system. The shapes are smoothly curvilinear, indicative of the natural flow pathways in coronary angiography." + }, + { + "image": "XCAD\\training\\annotations\\14356_27.png", + "caption": "Semantic map (GT) of coronary arteries extracted from an X-ray coronary angiography image;XCAD dataset;The semantic map is centrally located within the image bounds, occupying the middle area with clear boundaries against the black background;The size of the semantic map ranges from thin, thread-like structures to broader curvilinear segments, with differing widths and lengths that mimic the size variation of coronary arteries within human anatomy;The trend of the semantic map follows a curvilinear path with smooth, flowing lines that represent arterial structures, including main branches and smaller bifurcations stemming from them; the shape is intricate with varying curvatures and branch angles reminiscent of actual coronary vessel anatomy.", + "overview": "Semantic map (GT) of coronary arteries extracted from an X-ray coronary angiography image;", + "dataset": "XCAD dataset;", + "location": "The semantic map is centrally located within the image bounds, occupying the middle area with clear boundaries against the black background;", + "size": "The size of the semantic map ranges from thin, thread-like structures to broader curvilinear segments, with differing widths and lengths that mimic the size variation of coronary arteries within human anatomy;", + "trend_shape": "The trend of the semantic map follows a curvilinear path with smooth, flowing lines that represent arterial structures, including main branches and smaller bifurcations stemming from them; the shape is intricate with varying curvatures and branch angles reminiscent of actual coronary vessel anatomy." + }, + { + "image": "XCAD\\training\\annotations\\14717_23.png", + "caption": "This image features a monochrome semantic map representing the ground truth (GT) for an X-ray coronary angiography analysis.The dataset from which this semantic map was obtained is known as the XCAD dataset.The semantic map predominantly occupies the central region of the image, extending from the top-left corner towards the bottom-right corner with a slight spatial displacement towards the top-right and bottom-left edges.The size of the semantic map is substantial in relation to the entire image, covering a significant area with its curvilinear structures.The trend and shape of the semantic map display a complex network of interconnected curvilinear paths that simulate the branching structure of blood vessels; these paths vary in width and curvature, ranging from gentle arcs to tighter curves that simulate the natural variability found in human coronary arteries.", + "overview": "This image features a monochrome semantic map representing the ground truth (GT) for an X-ray coronary angiography analysis.", + "dataset": "The dataset from which this semantic map was obtained is known as the XCAD dataset.", + "location": "The semantic map predominantly occupies the central region of the image, extending from the top-left corner towards the bottom-right corner with a slight spatial displacement towards the top-right and bottom-left edges.", + "size": "The size of the semantic map is substantial in relation to the entire image, covering a significant area with its curvilinear structures.", + "trend_shape": "The trend and shape of the semantic map display a complex network of interconnected curvilinear paths that simulate the branching structure of blood vessels; these paths vary in width and curvature, ranging from gentle arcs to tighter curves that simulate the natural variability found in human coronary arteries." + }, + { + "image": "XCAD\\training\\annotations\\14803_37.png", + "caption": "This is a high-contrast, black and white image depicting a semantic map or ground truth of coronary arteries from an X-ray coronary angiography image.The dataset is XCAD.The semantic map is centrally located within the image bounds, covering the majority of the image area.The semantic map appears to be approximately 500x500 pixels in size, with the visualization of the coronary arteries occupying a significant portion of the map's dimensions.The trend of the semantic map is complex, with multiple branching patterns and curvilinear structures representing the coronary arteries. The shape of the semantic map ranges from broad, arching curves to fine, intricate branches, simulating the anatomical variation of coronary vessels.", + "overview": "This is a high-contrast, black and white image depicting a semantic map or ground truth of coronary arteries from an X-ray coronary angiography image.", + "dataset": "The dataset is XCAD.", + "location": "The semantic map is centrally located within the image bounds, covering the majority of the image area.", + "size": "The semantic map appears to be approximately 500x500 pixels in size, with the visualization of the coronary arteries occupying a significant portion of the map's dimensions.", + "trend_shape": "The trend of the semantic map is complex, with multiple branching patterns and curvilinear structures representing the coronary arteries. The shape of the semantic map ranges from broad, arching curves to fine, intricate branches, simulating the anatomical variation of coronary vessels." + }, + { + "image": "XCAD\\training\\annotations\\15534_41.png", + "caption": "Semantic map (GT) of X-ray coronary angiography showing delineated blood vessels on a black background;XCAD dataset;The semantic map is centrally located within the image, occupying the majority of the frame;The size of the semantic map is substantial, extending across the image without touching the boundaries, leaving a margin around the edges;The trend of the semantic map displays branching vessel-like structures with curvilinear paths; the shape exhibits multiple bifurcating and curving lines of varying thickness, representing the coronary arterial system.", + "overview": "Semantic map (GT) of X-ray coronary angiography showing delineated blood vessels on a black background;", + "dataset": "XCAD dataset;", + "location": "The semantic map is centrally located within the image, occupying the majority of the frame;", + "size": "The size of the semantic map is substantial, extending across the image without touching the boundaries, leaving a margin around the edges;", + "trend_shape": "The trend of the semantic map displays branching vessel-like structures with curvilinear paths; the shape exhibits multiple bifurcating and curving lines of varying thickness, representing the coronary arterial system." + }, + { + "image": "XCAD\\training\\annotations\\15613_15.png", + "caption": "Semantic map (ground truth (GT)) depicting the vascular structure for X-ray coronary angiography;XCAD dataset;The semantic map is centrally located within the image, occupying the majority of the space with a margin of background around the edges;The semantic map is medium-sized relative to the image, with its largest dimension being vertical;The vascular structure trends include multiple curvilinear paths that branch and curve with varying thicknesses, illustrating the coronary arteries; the main vessel extends from the top center downwards before curving to the right, with several smaller branches extending from it in a generally rightward and downward direction.", + "overview": "Semantic map (ground truth (GT)) depicting the vascular structure for X-ray coronary angiography;", + "dataset": "XCAD dataset;", + "location": "The semantic map is centrally located within the image, occupying the majority of the space with a margin of background around the edges;", + "size": "The semantic map is medium-sized relative to the image, with its largest dimension being vertical;", + "trend_shape": "The vascular structure trends include multiple curvilinear paths that branch and curve with varying thicknesses, illustrating the coronary arteries; the main vessel extends from the top center downwards before curving to the right, with several smaller branches extending from it in a generally rightward and downward direction." + }, + { + "image": "XCAD\\training\\annotations\\15664_22.png", + "caption": "Monochromatic semantic map depicting the delineated vascular structure of an X-ray coronary angiography; the image represents the ground truth (GT) for machine learning models.XCAD dataset.The semantic map occupies the central and left regions of the image, with a marginal presence extending slightly towards the right side.The semantic map features a varying thickness of curvilinear structures ranging from fine, thread-like lines to slightly thicker branches, covering approximately 60% of the image area.The curvilinear objects displayed in the semantic map exhibit a complex, branching architecture with a dominant vertical orientation and secondary bifurcations that spread diagonally, mimicking the hierarchical and anastomosing pattern of coronary arteries; the lines are smooth with gentle curves and occasional sharp turns.", + "overview": "Monochromatic semantic map depicting the delineated vascular structure of an X-ray coronary angiography; the image represents the ground truth (GT) for machine learning models.", + "dataset": "XCAD dataset.", + "location": "The semantic map occupies the central and left regions of the image, with a marginal presence extending slightly towards the right side.", + "size": "The semantic map features a varying thickness of curvilinear structures ranging from fine, thread-like lines to slightly thicker branches, covering approximately 60% of the image area.", + "trend_shape": "The curvilinear objects displayed in the semantic map exhibit a complex, branching architecture with a dominant vertical orientation and secondary bifurcations that spread diagonally, mimicking the hierarchical and anastomosing pattern of coronary arteries; the lines are smooth with gentle curves and occasional sharp turns." + }, + { + "image": "XCAD\\training\\annotations\\15961_37.png", + "caption": "The image displays a black background with a white curvilinear structure representing a semantic map or ground truth (GT) of coronary arteries from an angiography.The dataset from which this image is sourced is the XCAD dataset.The semantic map is centrally located within the image, occupying a majority of the frame without extending to the edges.The size of the semantic map is large, taking up most of the image space, with curvilinear structures of varying lengths and thicknesses.The trend of the semantic map is complex, featuring multiple branching and interconnected curves; these shapes mimic the bifurcating and winding nature of coronary arteries as seen in medical imaging.", + "overview": "The image displays a black background with a white curvilinear structure representing a semantic map or ground truth (GT) of coronary arteries from an angiography.", + "dataset": "The dataset from which this image is sourced is the XCAD dataset.", + "location": "The semantic map is centrally located within the image, occupying a majority of the frame without extending to the edges.", + "size": "The size of the semantic map is large, taking up most of the image space, with curvilinear structures of varying lengths and thicknesses.", + "trend_shape": "The trend of the semantic map is complex, featuring multiple branching and interconnected curves; these shapes mimic the bifurcating and winding nature of coronary arteries as seen in medical imaging." + }, + { + "image": "XCAD\\training\\annotations\\17025_24.png", + "caption": "This is a high-contrast, monochromatic semantic map or groundtruth (GT) representing the delineation of coronary arteries from an X-ray coronary angiography image; 2. The semantic map is from the XCAD dataset; 3. The semantic map occupies the central and upper regions of the image on a black background; 4. The dimensions of the semantic map are not specified, but it proportionally fills most of the image frame; 5. The semantic map exhibits a complex network of curvilinear structures with varying curvature and branching patterns, indicative of major coronary arteries with multiple bifurcations and smaller vascular branches.", + "overview": "This is a high-contrast, monochromatic semantic map or groundtruth (GT) representing the delineation of coronary arteries from an X-ray coronary angiography image; 2. The semantic map is from the XCAD dataset; 3. The semantic map occupies the central and upper regions of the image on a black background; 4. The dimensions of the semantic map are not specified, but it proportionally fills most of the image frame; 5. The semantic map exhibits a complex network of curvilinear structures with varying curvature and branching patterns, indicative of major coronary arteries with multiple bifurcations and smaller vascular branches." + }, + { + "image": "XCAD\\training\\annotations\\17906_30.png", + "caption": "Black background with white curvilinear structures representing arterial networks, designated as a semantic map or ground truth (GT) for X-ray coronary angiography.XCAD dataset.Centralized within the image frame, the semantic map occupies the majority of the view without touching the edges, providing clear contrast for boundary identification.The semantic map extends across a substantial portion of the image, with the longest vessel spanning approximately three-fourths of the image height, indicating a high-resolution capture.The vessels depicted in the semantic map display a sinuous, branching pattern characteristic of coronary arterial structures, with varying vessel widths and curvatures suggesting both major arteries and finer vascular branches.", + "overview": "Black background with white curvilinear structures representing arterial networks, designated as a semantic map or ground truth (GT) for X-ray coronary angiography.", + "dataset": "XCAD dataset.", + "location": "Centralized within the image frame, the semantic map occupies the majority of the view without touching the edges, providing clear contrast for boundary identification.", + "size": "The semantic map extends across a substantial portion of the image, with the longest vessel spanning approximately three-fourths of the image height, indicating a high-resolution capture.", + "trend_shape": "The vessels depicted in the semantic map display a sinuous, branching pattern characteristic of coronary arterial structures, with varying vessel widths and curvatures suggesting both major arteries and finer vascular branches." + }, + { + "image": "XCAD\\training\\annotations\\18095_29.png", + "caption": "This image depicts a semantic map of a coronary artery structure, presented as a ground truth (GT) with a high-contrast curvilinear feature on a black background; 2. The semantic map is from the XCAD dataset; 3. The curvilinear structures occupy the central and left regions of the image, with the main artery curving around the left side and branching out toward the middle; 4. The size of the semantic map is moderately large within the image frame, with the main arterial curvature having variable width and the branches tapering as they extend; 5. The trend of the semantic map is sinuous, with the main artery forming an arc-like curve, while the branches exhibit complex branching patterns with varying curvilinear trajectories that bifurcate and diminish in calibre as they progress.", + "overview": "This image depicts a semantic map of a coronary artery structure, presented as a ground truth (GT) with a high-contrast curvilinear feature on a black background; 2. The semantic map is from the XCAD dataset; 3. The curvilinear structures occupy the central and left regions of the image, with the main artery curving around the left side and branching out toward the middle; 4. The size of the semantic map is moderately large within the image frame, with the main arterial curvature having variable width and the branches tapering as they extend; 5. The trend of the semantic map is sinuous, with the main artery forming an arc-like curve, while the branches exhibit complex branching patterns with varying curvilinear trajectories that bifurcate and diminish in calibre as they progress." + }, + { + "image": "XCAD\\training\\annotations\\18097_29.png", + "caption": "This is a semantic map (GT) representing the arterial structure in an x-ray coronary angiography.The image is from the XCAD dataset.The semantic map is centrally located in the image, occupying a majority of the image space with clear margins and high contrast against the black background.The size of the semantic map is expansive, extending to the edges of the image frame with variable widths representing different arterial segments.The trend of the semantic map is curvilinear, featuring sinuous paths with smooth curvature and bifurcating branches resembling arterial vessels; the shape includes a prominent main vessel with multiple secondary branches diverging at acute and obtuse angles, creating a complex vascular structure.", + "overview": "This is a semantic map (GT) representing the arterial structure in an x-ray coronary angiography.", + "dataset": "The image is from the XCAD dataset.", + "location": "The semantic map is centrally located in the image, occupying a majority of the image space with clear margins and high contrast against the black background.", + "size": "The size of the semantic map is expansive, extending to the edges of the image frame with variable widths representing different arterial segments.", + "trend_shape": "The trend of the semantic map is curvilinear, featuring sinuous paths with smooth curvature and bifurcating branches resembling arterial vessels; the shape includes a prominent main vessel with multiple secondary branches diverging at acute and obtuse angles, creating a complex vascular structure." + }, + { + "image": "XCAD\\training\\annotations\\18139_23.png", + "caption": "White curvilinear structures on a black background representing blood vessels, designated as a semantic map or ground truth (GT) for medical image analysis; 2. Dataset name: XCAD; 3. The semantic map is centrally located, filling most of the image space; 4. Size of the semantic map is extensive, covering the majority of the image with varying thickness of lines; 5. Trends of the semantic map include flowing, interconnected lines with bifurcations and curvatures mimicking the human coronary arterial system's anatomy. The shape of the semantic map appears organic with branching patterns typical of vascular structures.", + "overview": "White curvilinear structures on a black background representing blood vessels, designated as a semantic map or ground truth (GT) for medical image analysis; 2. Dataset name: XCAD; 3. The semantic map is centrally located, filling most of the image space; 4. Size of the semantic map is extensive, covering the majority of the image with varying thickness of lines; 5. Trends of the semantic map include flowing, interconnected lines with bifurcations and curvatures mimicking the human coronary arterial system's anatomy. The shape of the semantic map appears organic with branching patterns typical of vascular structures." + }, + { + "image": "XCAD\\training\\annotations\\18232_26.png", + "caption": "This image is a high-contrast, monochrome semantic map or groundtrue (GT) extracted from an X-ray coronary angiography.The dataset is named the XCAD dataset.The semantic map occupies the central region of the image, framed with ample black background space to highlight the structure.The size of the semantic map features fine, delicate lines varying in width, consistent with the visualization of coronary arteries, displayed on a uniform black background.The trend of the semantic map follows a complex, curvilinear pattern resembling the arterial branching and course of human coronary arteries, with smooth curves and bifurcations indicative of a vascular structure.", + "overview": "This image is a high-contrast, monochrome semantic map or groundtrue (GT) extracted from an X-ray coronary angiography.", + "dataset": "The dataset is named the XCAD dataset.", + "location": "The semantic map occupies the central region of the image, framed with ample black background space to highlight the structure.", + "size": "The size of the semantic map features fine, delicate lines varying in width, consistent with the visualization of coronary arteries, displayed on a uniform black background.", + "trend_shape": "The trend of the semantic map follows a complex, curvilinear pattern resembling the arterial branching and course of human coronary arteries, with smooth curves and bifurcations indicative of a vascular structure." + }, + { + "image": "XCAD\\training\\annotations\\18298_38.png", + "caption": "This is a semantic map (ground truth) of curvilinear structures.Dataset Name: XCAD.The map occupies the central region of the image, stretching diagonally from the top left to the bottom right, with sparse branching structures present more in the lower half.The semantic map is of medium thickness with variations throughout its length; it has multiple curves and branches of varying lengths and thicknesses, indicating a complex network of structures.The trend of the semantic map is sinuous with multiple curves, indicating a natural organic pattern, like blood vessels; the shape is irregular, with several bifurcations and divergences, resembling a vascular tree.\n\nPlease note that there are no absolute measurements provided as the size reference or scale is not available in the image.", + "overview": "This is a semantic map (ground truth) of curvilinear structures.", + "dataset": "Dataset Name: XCAD.", + "location": "The map occupies the central region of the image, stretching diagonally from the top left to the bottom right, with sparse branching structures present more in the lower half.", + "size": "The semantic map is of medium thickness with variations throughout its length; it has multiple curves and branches of varying lengths and thicknesses, indicating a complex network of structures.", + "trend_shape": "The trend of the semantic map is sinuous with multiple curves, indicating a natural organic pattern, like blood vessels; the shape is irregular, with several bifurcations and divergences, resembling a vascular tree.\n\nPlease note that there are no absolute measurements provided as the size reference or scale is not available in the image." + }, + { + "image": "XCAD\\training\\annotations\\18476_49.png", + "caption": "This is a monochromatic semantic map, or ground truth (GT), illustrating the structure of curvilinear objects;The name of the dataset is the XCAD dataset;The semantic map is centrally located within the image, occupying a significant portion of the frame set against a uniform black background;The semantic map is medium-sized relative to the image canvas, with varying line thicknesses representing different vessel calibers;The trend of the semantic map includes multiple curving lines and bifurcations, resembling arterial branches, with smooth curves and no sharp angles, indicative of natural vessel shapes.", + "overview": "This is a monochromatic semantic map, or ground truth (GT), illustrating the structure of curvilinear objects;", + "dataset": "The name of the dataset is the XCAD dataset;", + "location": "The semantic map is centrally located within the image, occupying a significant portion of the frame set against a uniform black background;", + "size": "The semantic map is medium-sized relative to the image canvas, with varying line thicknesses representing different vessel calibers;", + "trend_shape": "The trend of the semantic map includes multiple curving lines and bifurcations, resembling arterial branches, with smooth curves and no sharp angles, indicative of natural vessel shapes." + }, + { + "image": "XCAD\\training\\annotations\\18552_23.png", + "caption": "This is a semantic map or ground truth (GT) representation of curvilinear structures, resembling coronary arteries, from an X-ray angiography image; 2. The image is sourced from the XCAD dataset; 3. The semantic map is centrally located, with the main structures extending from the top left towards the bottom right of the image; 4. The size of the semantic map is relatively large, covering a significant portion of the image area with varying thickness in the curvilinear structures; 5. The trend of the semantic map shows a branching pattern with multiple curves and bifurcations, creating a tree-like shape with smooth, continuous lines that taper from thicker proximal segments to thinner distal branches.", + "overview": "This is a semantic map or ground truth (GT) representation of curvilinear structures, resembling coronary arteries, from an X-ray angiography image; 2. The image is sourced from the XCAD dataset; 3. The semantic map is centrally located, with the main structures extending from the top left towards the bottom right of the image; 4. The size of the semantic map is relatively large, covering a significant portion of the image area with varying thickness in the curvilinear structures; 5. The trend of the semantic map shows a branching pattern with multiple curves and bifurcations, creating a tree-like shape with smooth, continuous lines that taper from thicker proximal segments to thinner distal branches." + }, + { + "image": "XCAD\\training\\annotations\\18597_47.png", + "caption": "This is a black and white semantic map or ground truth (GT) associated with an X-ray coronary angiography image.The dataset's name is XCAD.The semantic map is centrally located within the image, spanning the majority of the image area.The size of the semantic map is substantial, covering nearly the entire image field.The trend of the semantic map is a complex, branching pattern reminiscent of vascular structures, with varying thickness and several bifurcations; the shape is curvilinear, with smooth, continuous lines and curves that represent the coronary arteries.", + "overview": "This is a black and white semantic map or ground truth (GT) associated with an X-ray coronary angiography image.", + "dataset": "The dataset's name is XCAD.", + "location": "The semantic map is centrally located within the image, spanning the majority of the image area.", + "size": "The size of the semantic map is substantial, covering nearly the entire image field.", + "trend_shape": "The trend of the semantic map is a complex, branching pattern reminiscent of vascular structures, with varying thickness and several bifurcations; the shape is curvilinear, with smooth, continuous lines and curves that represent the coronary arteries." + }, + { + "image": "XCAD\\training\\annotations\\18608_34.png", + "caption": "This is a black-and-white semantic map representing the ground truth (GT) for curvilinear structures in a coronary angiography image;The dataset is named XCAD;The semantic map is centrally positioned within the image frame, predominantly occupying the upper two-thirds of the image area;The semantic map covers a substantial portion of the image but does not fill it entirely, conserving a margin of background around the outlined structures;The trend of the semantic map follows the anatomical pathways of coronary arteries with a primary curvilinear structure branching into secondary and tertiary curved segments of varying thickness, illustrating the complex vascular anatomy.", + "overview": "This is a black-and-white semantic map representing the ground truth (GT) for curvilinear structures in a coronary angiography image;", + "dataset": "The dataset is named XCAD;", + "location": "The semantic map is centrally positioned within the image frame, predominantly occupying the upper two-thirds of the image area;", + "size": "The semantic map covers a substantial portion of the image but does not fill it entirely, conserving a margin of background around the outlined structures;", + "trend_shape": "The trend of the semantic map follows the anatomical pathways of coronary arteries with a primary curvilinear structure branching into secondary and tertiary curved segments of varying thickness, illustrating the complex vascular anatomy." + }, + { + "image": "XCAD\\training\\annotations\\18671_41.png", + "caption": "Semantic map (GT) depicting curvilinear structures resembling vascular anatomy against a black background;XCAD dataset;The semantic map is centrally located in the image, occupying the majority of the space from left upper quadrant to the center and extending towards the lower right quadrant;The size of the semantic map is large, covering approximately 70-80% of the image canvas;The trend of the semantic map is predominantly vertical with branches emanating at various angles, while the shape comprises several elongated and curving lines that taper towards the periphery, simulating coronary arteries branching from a main trunk.", + "overview": "Semantic map (GT) depicting curvilinear structures resembling vascular anatomy against a black background;", + "dataset": "XCAD dataset;", + "location": "The semantic map is centrally located in the image, occupying the majority of the space from left upper quadrant to the center and extending towards the lower right quadrant;", + "size": "The size of the semantic map is large, covering approximately 70-80% of the image canvas;", + "trend_shape": "The trend of the semantic map is predominantly vertical with branches emanating at various angles, while the shape comprises several elongated and curving lines that taper towards the periphery, simulating coronary arteries branching from a main trunk." + }, + { + "image": "XCAD\\test\\images\\00242_44.png", + "caption": "Monochromatic X-ray image displaying contrast-filled vascular structures; 2. XCAD dataset; 3. Central area spanning from the top left to the lower right section; 4. Variable size, with the largest vessels approximately 2-4 mm in width; 5. Complex, intertwining serpentine and branching structures with smooth curves; 6. Homogeneous, translucent grey backdrop with low contrast.", + "overview": "Monochromatic X-ray image displaying contrast-filled vascular structures; 2. XCAD dataset; 3. Central area spanning from the top left to the lower right section; 4. Variable size, with the largest vessels approximately 2-4 mm in width; 5. Complex, intertwining serpentine and branching structures with smooth curves; 6. Homogeneous, translucent grey backdrop with low contrast." + }, + { + "image": "XCAD\\test\\images\\00656_38.png", + "caption": "Monochromatic X-ray image showcasing curvilinear structures;XCAD dataset;Coronary angiography central with delineated arterial structures in the thoracic region;Diameter of angiography varies from approximately 1 to 4 mm;The angiography reveals a complex network of tortuous vessels with bifurcations and curvilinear paths;Homogeneous gray background with soft tissue shadows.", + "overview": "Monochromatic X-ray image showcasing curvilinear structures;", + "dataset": "XCAD dataset;", + "location": "Coronary angiography central with delineated arterial structures in the thoracic region;", + "size": "Diameter of angiography varies from approximately 1 to 4 mm;", + "trend_shape": "The angiography reveals a complex network of tortuous vessels with bifurcations and curvilinear paths;", + "background": "Homogeneous gray background with soft tissue shadows." + }, + { + "image": "XCAD\\test\\images\\00782_41.png", + "caption": "Black-and-white image displaying contrast-filled vascular structures;XCAD dataset;Coronary angiography is centrally located in the image, occupying the majority of the middle third both vertically and horizontally;Varying diameter from approximately 2 to 5 mm;Main vessel branches off into multiple curvilinear structures with smooth, sinuous contours and bifurcations forming acute to obtuse angles;Homogeneous, grainy gray background.", + "overview": "Black-and-white image displaying contrast-filled vascular structures;", + "dataset": "XCAD dataset;", + "location": "Coronary angiography is centrally located in the image, occupying the majority of the middle third both vertically and horizontally;", + "size": "Varying diameter from approximately 2 to 5 mm;", + "trend_shape": "Main vessel branches off into multiple curvilinear structures with smooth, sinuous contours and bifurcations forming acute to obtuse angles;", + "background": "Homogeneous, grainy gray background." + }, + { + "image": "XCAD\\training\\images\\10947_46.png", + "caption": "Monochromatic X-ray image showcasing branching curvilinear structures.XCAD dataset.Coronary angiography is centrally located, occupying the mid to lower region of the image.The coronary angiography displays various sizes in its branching structures; the primary vessel is approximately 3-4 mm, branching into smaller vessels between 1-2 mm.The angiography reveals a complex, tortuous network; the main vessel follows a curved trajectory with multiple secondary branches diverging at acute and obtuse angles, demonstrating both serpentine and smoother, arc-like segments.Homogenous, dark gray background with minimal noise and without any distinct features apart from the vascular structures.", + "overview": "Monochromatic X-ray image showcasing branching curvilinear structures.", + "dataset": "XCAD dataset.", + "location": "Coronary angiography is centrally located, occupying the mid to lower region of the image.", + "size": "The coronary angiography displays various sizes in its branching structures; the primary vessel is approximately 3-4 mm, branching into smaller vessels between 1-2 mm.", + "trend_shape": "The angiography reveals a complex, tortuous network; the main vessel follows a curved trajectory with multiple secondary branches diverging at acute and obtuse angles, demonstrating both serpentine and smoother, arc-like segments.", + "background": "Homogenous, dark gray background with minimal noise and without any distinct features apart from the vascular structures." + }, + { + "image": "XCAD\\training\\images\\11104_36.png", + "caption": "X-ray image showing contrast-filled vascular structures against a gray background;XCAD dataset;Coronary angiography located centrally in the image, predominantly on the left side as viewed;The angiography depicts a network of luminal structures of varying calibers, with widths ranging from very thin, approximately 1-2 mm, to larger vessels around 3-4 mm;The coronary angiography displays a curvilinear, somewhat tortuous course, with several branching patterns and acute to obtuse angled bifurcations, oriented in both horizontal and vertical axes;The background is homogenous, with varying shades of gray, without distinct features.", + "overview": "X-ray image showing contrast-filled vascular structures against a gray background;", + "dataset": "XCAD dataset;", + "location": "Coronary angiography located centrally in the image, predominantly on the left side as viewed;", + "size": "The angiography depicts a network of luminal structures of varying calibers, with widths ranging from very thin, approximately 1-2 mm, to larger vessels around 3-4 mm;", + "trend_shape": "The coronary angiography displays a curvilinear, somewhat tortuous course, with several branching patterns and acute to obtuse angled bifurcations, oriented in both horizontal and vertical axes;", + "background": "The background is homogenous, with varying shades of gray, without distinct features." + }, + { + "image": "XCAD\\training\\images\\11970_24.png", + "caption": "Black and white X-ray image showing vascular structures; 2. XCAD dataset; 3. Central portion of the image, predominantly in the upper half; 4. The main vessel depicted is approximately one-fourth the width of the image, with smaller branches varying in size; 5. The main coronary artery has a sinuous, serpentine shape with multiple branching vessels curving in various directions; 6. Homogeneous grayscale tones with low contrast and no distinct features aside from the vasculature.", + "overview": "Black and white X-ray image showing vascular structures; 2. XCAD dataset; 3. Central portion of the image, predominantly in the upper half; 4. The main vessel depicted is approximately one-fourth the width of the image, with smaller branches varying in size; 5. The main coronary artery has a sinuous, serpentine shape with multiple branching vessels curving in various directions; 6. Homogeneous grayscale tones with low contrast and no distinct features aside from the vasculature." + }, + { + "image": "XCAD\\training\\images\\12416_22.png", + "caption": "Monochrome X-ray image showing high-contrast, curvilinear structures amidst a softer, lower contrast backdrop; 2. XCAD dataset; 3. Central portion dominating the middle axis, extending towards the upper half of the image; 4. Varies in thickness, approximately between 2-4 mm with several branching sections; 5. Linear to curvy, with smooth undulating contours and several bifurcations forming a tree-like arterial pattern; 6. Homogenous, grainy grey background with indistinct shadowy outlines.", + "overview": "Monochrome X-ray image showing high-contrast, curvilinear structures amidst a softer, lower contrast backdrop; 2. XCAD dataset; 3. Central portion dominating the middle axis, extending towards the upper half of the image; 4. Varies in thickness, approximately between 2-4 mm with several branching sections; 5. Linear to curvy, with smooth undulating contours and several bifurcations forming a tree-like arterial pattern; 6. Homogenous, grainy grey background with indistinct shadowy outlines." + }, + { + "image": "XCAD\\training\\images\\12963_27.png", + "caption": "X-ray image showing contrast-filled vascular structures; 2. XCAD dataset; 3. The coronary angiography is centrally located, with the main structures appearing vertically near the center and branching outwards; 4. The coronary angiography spans large portions of the image, with varying vessel calibers, from thicker central arteries to finer peripheral branches; 5. The trend of the coronary angiography is predominantly vertical in orientation, with multiple curvilinear branches that exhibit a serpentine-like undulation, some arching superiorly while others extend inferiorly or laterally in a more horizontal trajectory; 6. The background is uniformly dark, providing a contrast that highlights the vascular structures.", + "overview": "X-ray image showing contrast-filled vascular structures; 2. XCAD dataset; 3. The coronary angiography is centrally located, with the main structures appearing vertically near the center and branching outwards; 4. The coronary angiography spans large portions of the image, with varying vessel calibers, from thicker central arteries to finer peripheral branches; 5. The trend of the coronary angiography is predominantly vertical in orientation, with multiple curvilinear branches that exhibit a serpentine-like undulation, some arching superiorly while others extend inferiorly or laterally in a more horizontal trajectory; 6. The background is uniformly dark, providing a contrast that highlights the vascular structures." + }, + { + "image": "XCAD\\training\\images\\13917_45.png", + "caption": "Monochrome image displaying a network of branching curvilinear structures;XCAD dataset;The coronary angiography is centrally and prominently located within the image, occupying most of the visual field;The coronary angiography structures vary in size, with some vessels appearing robust and others thinning out as they branch outward;The vessels demonstrate a tortuous and meandering trend extending from the central dense cluster, with smooth, curved shapes that branch and taper towards the periphery;Uniform, faintly mottled grey background with no discernible features.", + "overview": "Monochrome image displaying a network of branching curvilinear structures;", + "dataset": "XCAD dataset;", + "location": "The coronary angiography is centrally and prominently located within the image, occupying most of the visual field;", + "size": "The coronary angiography structures vary in size, with some vessels appearing robust and others thinning out as they branch outward;", + "trend_shape": "The vessels demonstrate a tortuous and meandering trend extending from the central dense cluster, with smooth, curved shapes that branch and taper towards the periphery;", + "background": "Uniform, faintly mottled grey background with no discernible features." + }, + { + "image": "XCAD\\training\\images\\14803_37.png", + "caption": "Monochromatic X-ray image displaying intricate vascular structures with high contrast against a uniform background.XCAD dataset.The coronary angiography is central, occupying the majority of the image with a focus on the heart's left side.Vessels vary in size, with widths ranging from very fine to a few millimeters; total angiography coverage is broad, extending over a substantial portion of the image area.The coronary arteries show a curvilinear, tortuous appearance with multiple branching points, displaying both smooth curves and sharp bends; the vessels descend diagonally from upper left to lower center, then curve around and radiate outward.Homogeneous, dark grayscale background with minimal noise or extraneous detail.", + "overview": "Monochromatic X-ray image displaying intricate vascular structures with high contrast against a uniform background.", + "dataset": "XCAD dataset.", + "location": "The coronary angiography is central, occupying the majority of the image with a focus on the heart's left side.", + "size": "Vessels vary in size, with widths ranging from very fine to a few millimeters; total angiography coverage is broad, extending over a substantial portion of the image area.", + "trend_shape": "The coronary arteries show a curvilinear, tortuous appearance with multiple branching points, displaying both smooth curves and sharp bends; the vessels descend diagonally from upper left to lower center, then curve around and radiate outward.", + "background": "Homogeneous, dark grayscale background with minimal noise or extraneous detail." + }, + { + "image": "XCAD\\training\\images\\18232_26.png", + "caption": "Monochrome X-ray image highlighting contrast-filled vascular structures; 2. XCAD dataset; 3. Coronary angiography is predominantly centrally located, extending towards the lower left quadrant; 4. The vessels range from fine, thread-like structures to broader, curving segments with variable diameters approximately between 1 to 5 mm; 5. The coronary angiography exhibits a tortuous pathway with multiple curvilinear segments and bifurcations, presenting an overall sinuous appearance with smooth contours; 6. Homogeneous, featureless gray background with soft tissue shadows.", + "overview": "Monochrome X-ray image highlighting contrast-filled vascular structures; 2. XCAD dataset; 3. Coronary angiography is predominantly centrally located, extending towards the lower left quadrant; 4. The vessels range from fine, thread-like structures to broader, curving segments with variable diameters approximately between 1 to 5 mm; 5. The coronary angiography exhibits a tortuous pathway with multiple curvilinear segments and bifurcations, presenting an overall sinuous appearance with smooth contours; 6. Homogeneous, featureless gray background with soft tissue shadows." + }, + { + "image": "XCAD\\training\\annotations\\00087_33.png", + "caption": "This is a high-contrast semantic map or ground truth (GT) of coronary arteries;from the XCAD dataset;centrally located against a uniform black background;covering a majority of the image with dimensions approximately equal to the image size;featuring curvilinear, branching structures resembling arteries with varying widths and smooth, curving paths.", + "overview": "This is a high-contrast semantic map or ground truth (GT) of coronary arteries;", + "dataset": "from the XCAD dataset;", + "location": "centrally located against a uniform black background;", + "size": "covering a majority of the image with dimensions approximately equal to the image size;", + "trend_shape": "featuring curvilinear, branching structures resembling arteries with varying widths and smooth, curving paths." + }, + { + "image": "XCAD\\training\\annotations\\00570_24.png", + "caption": "This is a semantic map (ground truth, GT) of an X-ray coronary angiography image, highlighting curvilinear structures indicative of vasculature.The name of the dataset is XCAD.The semantic map is centrally located within the full dimensions of the image, primarily occupying the central and left regions.The size of the semantic map is large, covering a significant portion of the image area with varying line thickness and spacing.The trend of the semantic map is complex, with multiple curves and bifurcations representing the coronary artery system; the shape ranges from elongated and sinuous to shorter and more angular segments, conveying a realistic and detailed representation of arterial anatomy.", + "overview": "This is a semantic map (ground truth, GT) of an X-ray coronary angiography image, highlighting curvilinear structures indicative of vasculature.", + "dataset": "The name of the dataset is XCAD.", + "location": "The semantic map is centrally located within the full dimensions of the image, primarily occupying the central and left regions.", + "size": "The size of the semantic map is large, covering a significant portion of the image area with varying line thickness and spacing.", + "trend_shape": "The trend of the semantic map is complex, with multiple curves and bifurcations representing the coronary artery system; the shape ranges from elongated and sinuous to shorter and more angular segments, conveying a realistic and detailed representation of arterial anatomy." + }, + { + "image": "XCAD\\training\\annotations\\00897_52.png", + "caption": "This image is a high-contrast semantic map, or ground truth (GT), representing curvilinear structures.The dataset is XCAD.The semantic map is centrally located, occupying the majority of the image area.The semantic map is large, with its curvilinear features extending towards the edges, covering a significant portion of the image.The trend of the semantic map is predominantly vertical with branching features, and the shape is complex and irregular, resembling a network of arteries with varying curvature and bifurcations.", + "overview": "This image is a high-contrast semantic map, or ground truth (GT), representing curvilinear structures.", + "dataset": "The dataset is XCAD.", + "location": "The semantic map is centrally located, occupying the majority of the image area.", + "size": "The semantic map is large, with its curvilinear features extending towards the edges, covering a significant portion of the image.", + "trend_shape": "The trend of the semantic map is predominantly vertical with branching features, and the shape is complex and irregular, resembling a network of arteries with varying curvature and bifurcations." + }, + { + "image": "XCAD\\training\\annotations\\01169_25.png", + "caption": "White linear representations on a black background, depicting a semantic map (GT) of coronary arteries;XCAD dataset;The semantic map is centrally located within the image, taking up the majority of the frame with clear space around the periphery;The semantic map appears to cover roughly 80% of the image area;The trend of the semantic map is a complex network of curvilinear structures, representing branching coronary arteries with varying curvature and bifurcations; the shape includes both smooth curves and sharp turns, indicative of natural vascular pathways.", + "overview": "White linear representations on a black background, depicting a semantic map (GT) of coronary arteries;", + "dataset": "XCAD dataset;", + "location": "The semantic map is centrally located within the image, taking up the majority of the frame with clear space around the periphery;", + "size": "The semantic map appears to cover roughly 80% of the image area;", + "trend_shape": "The trend of the semantic map is a complex network of curvilinear structures, representing branching coronary arteries with varying curvature and bifurcations; the shape includes both smooth curves and sharp turns, indicative of natural vascular pathways." + }, + { + "image": "XCAD\\training\\annotations\\02006_34.png", + "caption": "Semantic map (GT) of curvilinear structures representing coronary arteries;XCAD dataset;The semantic map is centrally located within the boundaries of the image;The size of the semantic map is expansive, covering a majority of the image area;The trend of the semantic map displays a complex branching pattern with multiple curvilinear paths of varying thickness; the shape resembles a biological network with arterial segments and bifurcations.", + "overview": "Semantic map (GT) of curvilinear structures representing coronary arteries;", + "dataset": "XCAD dataset;", + "location": "The semantic map is centrally located within the boundaries of the image;", + "size": "The size of the semantic map is expansive, covering a majority of the image area;", + "trend_shape": "The trend of the semantic map displays a complex branching pattern with multiple curvilinear paths of varying thickness; the shape resembles a biological network with arterial segments and bifurcations." + }, + { + "image": "XCAD\\training\\annotations\\03097_27.png", + "caption": "Black and white semantic map of coronary arteries as a groundtruth (GT) representation from X-ray angiography.XCAD dataset.The semantic map is centrally located on a plain black background occupying the majority of the image space.The semantic map consists of various curvilinear structures which vary in length and are of fine width, proportionate to the image dimensions.The trend of the semantic map is a complex, branching structure emanating from a central, curved main artery; it exhibits a natural tapering in width as the branches extend outward, with smooth and continuous curves.", + "overview": "Black and white semantic map of coronary arteries as a groundtruth (GT) representation from X-ray angiography.", + "dataset": "XCAD dataset.", + "location": "The semantic map is centrally located on a plain black background occupying the majority of the image space.", + "size": "The semantic map consists of various curvilinear structures which vary in length and are of fine width, proportionate to the image dimensions.", + "trend_shape": "The trend of the semantic map is a complex, branching structure emanating from a central, curved main artery; it exhibits a natural tapering in width as the branches extend outward, with smooth and continuous curves." + }, + { + "image": "XCAD\\training\\annotations\\03341_26.png", + "caption": "A semantic map depicting the arterial structure as identified in a ground truth (GT) of an X-ray coronary angiography image.XCAD dataset.The semantic map is centered in the image and occupies the majority of the image area, with the primary structures oriented towards the upper half of the image.The semantic map features high-contrast curvilinear objects against a solid black background, suggesting medium to high resolution.The trend of the semantic map reveals a branched arterial pattern, characterized by multiple bifurcations and thin, elongated shapes curving and diverging from a central trunk, indicative of coronary arterial anatomy.", + "overview": "A semantic map depicting the arterial structure as identified in a ground truth (GT) of an X-ray coronary angiography image.", + "dataset": "XCAD dataset.", + "location": "The semantic map is centered in the image and occupies the majority of the image area, with the primary structures oriented towards the upper half of the image.", + "size": "The semantic map features high-contrast curvilinear objects against a solid black background, suggesting medium to high resolution.", + "trend_shape": "The trend of the semantic map reveals a branched arterial pattern, characterized by multiple bifurcations and thin, elongated shapes curving and diverging from a central trunk, indicative of coronary arterial anatomy." + }, + { + "image": "XCAD\\training\\annotations\\03744_38.png", + "caption": "Semantic map depicting the curvilinear structure of coronary arteries from X-ray coronary angiography; 2. XCAD dataset; 3. The semantic map is centrally located, occupying the central and left portions of the image field; 4. The semantic map covers a majority of the image with variable width throughout its length; 5. The curvilinear structures are sinuous with multiple branching patterns, demonstrating both smooth and complex contours, indicative of coronary artery paths.", + "overview": "Semantic map depicting the curvilinear structure of coronary arteries from X-ray coronary angiography; 2. XCAD dataset; 3. The semantic map is centrally located, occupying the central and left portions of the image field; 4. The semantic map covers a majority of the image with variable width throughout its length; 5. The curvilinear structures are sinuous with multiple branching patterns, demonstrating both smooth and complex contours, indicative of coronary artery paths." + }, + { + "image": "XCAD\\training\\annotations\\04911_18.png", + "caption": "This image represents a semantic map or ground truth (GT) for an X-ray coronary angiography, featuring a depiction of coronary artery structures.Dataset name: XCAD.The semantic map is centrally located within the image, occupying the majority of the image area.The size of the semantic map is comprehensive, covering almost the entire image with only narrow margins of blank space around the edges.The trend of the semantic map shows a complex network of branching curvilinear structures emanating from a central trunk, with variations in width and curvature, simulating the natural course of coronary arteries; shapes are predominantly elongated with varying degrees of curvature and bifurcation.", + "overview": "This image represents a semantic map or ground truth (GT) for an X-ray coronary angiography, featuring a depiction of coronary artery structures.", + "dataset": "Dataset name: XCAD.", + "location": "The semantic map is centrally located within the image, occupying the majority of the image area.", + "size": "The size of the semantic map is comprehensive, covering almost the entire image with only narrow margins of blank space around the edges.", + "trend_shape": "The trend of the semantic map shows a complex network of branching curvilinear structures emanating from a central trunk, with variations in width and curvature, simulating the natural course of coronary arteries; shapes are predominantly elongated with varying degrees of curvature and bifurcation." + }, + { + "image": "XCAD\\training\\annotations\\05789_28.png", + "caption": "This image is a simplified and high-contrast semantic map or ground truth representation of vasculature patterns, specifically designed for model-based research.The name of the dataset is the XCAD dataset.The semantic map is centrally located within the image, displaying a network of curvilinear structures against a uniformly black background, indicative of cardiovascular vessels or arteries in a medical imaging context.The size of the semantic map is consistent with the dimensions of the image, filling the majority of the space, and designed to mimic the scale of vasculature in an X-ray coronary angiography image.The trend of the semantic map includes a dense branching pattern with curvilinear shapes that vary from thick, primary vessels to thinner, secondary and tertiary branches, suggesting a representation of major and minor coronary arteries. The shape is intricately curvilinear, twisting and turning in various directions which is characteristic of arterial structures.", + "overview": "This image is a simplified and high-contrast semantic map or ground truth representation of vasculature patterns, specifically designed for model-based research.", + "dataset": "The name of the dataset is the XCAD dataset.", + "location": "The semantic map is centrally located within the image, displaying a network of curvilinear structures against a uniformly black background, indicative of cardiovascular vessels or arteries in a medical imaging context.", + "size": "The size of the semantic map is consistent with the dimensions of the image, filling the majority of the space, and designed to mimic the scale of vasculature in an X-ray coronary angiography image.", + "trend_shape": "The trend of the semantic map includes a dense branching pattern with curvilinear shapes that vary from thick, primary vessels to thinner, secondary and tertiary branches, suggesting a representation of major and minor coronary arteries. The shape is intricately curvilinear, twisting and turning in various directions which is characteristic of arterial structures." + }, + { + "image": "XCAD\\training\\annotations\\08157_24.png", + "caption": "Black-and-white semantic map representing the branching structure of coronary arteries in an X-ray angiography image, clearly denoting this as a ground truth (GT) for analysis;from the XCAD dataset;the semantic map is centrally located within the image frame, extending predominantly from the top center towards the bottom center, with branching structures that spread to the left and right sides of the image frame;the map varies in size, with the main arterial trunk appearing thicker and curvilinear branches tapering into finer lines, illustrating a range of vessel calibers;the overall trend and shape of the semantic map demonstrate a natural, curvilinear flow of arterial branching, with smooth curves and bifurcations that mimic the physiological pathways of coronary circulation.", + "overview": "Black-and-white semantic map representing the branching structure of coronary arteries in an X-ray angiography image, clearly denoting this as a ground truth (GT) for analysis;", + "dataset": "from the XCAD dataset;", + "location": "the semantic map is centrally located within the image frame, extending predominantly from the top center towards the bottom center, with branching structures that spread to the left and right sides of the image frame;", + "size": "the map varies in size, with the main arterial trunk appearing thicker and curvilinear branches tapering into finer lines, illustrating a range of vessel calibers;", + "trend_shape": "the overall trend and shape of the semantic map demonstrate a natural, curvilinear flow of arterial branching, with smooth curves and bifurcations that mimic the physiological pathways of coronary circulation." + }, + { + "image": "XCAD\\training\\annotations\\09990_38.png", + "caption": "This is a high-contrast, monochromatic semantic map or ground truth (GT) depicting the vascular structure derived from an X-ray coronary angiography image.The dataset is the XCAD dataset.The semantic map is centrally positioned in the image, with the main vessel structures extending predominantly from the top-left to the bottom-right, occupying the majority of the frame.The size of the semantic map is not quantifiable from the image alone without reference to the original dimensions, but it appears to fill most of the image canvas provided.The trend of the semantic map is a branching pattern of curvilinear objects resembling arterial blood vessels, with varying thicknesses indicating main vessels and their finer branches; the shape follows anatomical patterns of coronary arteries with smooth, flowing lines and bifurcations.", + "overview": "This is a high-contrast, monochromatic semantic map or ground truth (GT) depicting the vascular structure derived from an X-ray coronary angiography image.", + "dataset": "The dataset is the XCAD dataset.", + "location": "The semantic map is centrally positioned in the image, with the main vessel structures extending predominantly from the top-left to the bottom-right, occupying the majority of the frame.", + "size": "The size of the semantic map is not quantifiable from the image alone without reference to the original dimensions, but it appears to fill most of the image canvas provided.", + "trend_shape": "The trend of the semantic map is a branching pattern of curvilinear objects resembling arterial blood vessels, with varying thicknesses indicating main vessels and their finer branches; the shape follows anatomical patterns of coronary arteries with smooth, flowing lines and bifurcations." + }, + { + "image": "XCAD\\training\\annotations\\10947_46.png", + "caption": "Semantic map or ground truth (GT) of curvilinear structures resembling vascular patterns; 2. XCAD dataset; 3. The semantic map occupies the central and left portions of the image, extending upwards; 4. The semantic map covers a substantial area of the image, with numerous lines and curves intersecting and spanning from the bottom to the top; 5. The trend of the curvilinear objects is predominantly vertical with a dense, branching network of lines, and the shape is complex with multiple bifurcations and curvilinear paths resembling arterial structures.", + "overview": "Semantic map or ground truth (GT) of curvilinear structures resembling vascular patterns; 2. XCAD dataset; 3. The semantic map occupies the central and left portions of the image, extending upwards; 4. The semantic map covers a substantial area of the image, with numerous lines and curves intersecting and spanning from the bottom to the top; 5. The trend of the curvilinear objects is predominantly vertical with a dense, branching network of lines, and the shape is complex with multiple bifurcations and curvilinear paths resembling arterial structures." + }, + { + "image": "XCAD\\training\\annotations\\12128_42.png", + "caption": "Black and white semantic map of coronary arteries depicting the groundtruth (GT) for analysis in an X-ray coronary angiography study;XCAD dataset;The semantic map is centrally positioned within the image occupying the majority of the canvas, with clear space around its perimeter;The semantic map represents a network of curvilinear structures varying in thickness, predominantly slim with a few areas where the structures slightly widen;The arteries portrayed by the semantic map show a branching pattern originating from a larger curved structure, extending outwards in serpentine and gently winding shapes, suggestive of natural vascular formations.", + "overview": "Black and white semantic map of coronary arteries depicting the groundtruth (GT) for analysis in an X-ray coronary angiography study;", + "dataset": "XCAD dataset;", + "location": "The semantic map is centrally positioned within the image occupying the majority of the canvas, with clear space around its perimeter;", + "size": "The semantic map represents a network of curvilinear structures varying in thickness, predominantly slim with a few areas where the structures slightly widen;", + "trend_shape": "The arteries portrayed by the semantic map show a branching pattern originating from a larger curved structure, extending outwards in serpentine and gently winding shapes, suggestive of natural vascular formations." + }, + { + "image": "XCAD\\training\\annotations\\12568_21.png", + "caption": "Black and white image displaying a semantic map or ground truth (GT) representation of coronary arteries.Name of the dataset: XCAD dataset.Location of the semantic map: The curvilinear structures are centrally located within the image, spreading outwards from a common point resembling a branching pattern.Size of the semantic map: The map covers a substantial portion of the image canvas, with varying line thickness from approximately 1 to 10 pixels wide, illustrating different vessel diameters.Trend and shape of the semantic map: The lines depict curving and forking patterns characteristic of arterial branches, with smooth, flowing contours and several bifurcations indicative of a vascular network.", + "overview": "Black and white image displaying a semantic map or ground truth (GT) representation of coronary arteries.", + "dataset": "Name of the dataset: XCAD dataset.", + "location": "Location of the semantic map: The curvilinear structures are centrally located within the image, spreading outwards from a common point resembling a branching pattern.", + "size": "Size of the semantic map: The map covers a substantial portion of the image canvas, with varying line thickness from approximately 1 to 10 pixels wide, illustrating different vessel diameters.", + "trend_shape": "Trend and shape of the semantic map: The lines depict curving and forking patterns characteristic of arterial branches, with smooth, flowing contours and several bifurcations indicative of a vascular network." + }, + { + "image": "XCAD\\training\\annotations\\13917_45.png", + "caption": "Black and white simplified representation of coronary arteries as a semantic map or ground truth from an X-ray coronary angiography image;From the XCAD dataset;The semantic map features are positioned centrally in the image with some curvilinear structures extending towards the edges;The size of the semantic map can be described as moderate in relation to the image frame, covering a significant but not overwhelming portion of the area;The trend of the semantic map is a branching pattern emulating coronary vasculature with varying curvilinear paths; the shapes range from larger primary vessels to finer secondary and tertiary branches, demonstrating a natural and organic complexity.", + "overview": "Black and white simplified representation of coronary arteries as a semantic map or ground truth from an X-ray coronary angiography image;", + "dataset": "From the XCAD dataset;", + "location": "The semantic map features are positioned centrally in the image with some curvilinear structures extending towards the edges;", + "size": "The size of the semantic map can be described as moderate in relation to the image frame, covering a significant but not overwhelming portion of the area;", + "trend_shape": "The trend of the semantic map is a branching pattern emulating coronary vasculature with varying curvilinear paths; the shapes range from larger primary vessels to finer secondary and tertiary branches, demonstrating a natural and organic complexity." + }, + { + "image": "XCAD\\training\\annotations\\14764_27.png", + "caption": "This is a high-contrast semantic map representing the arterial structures in an X-ray coronary angiography image, designated as a ground truth (GT) for image analysis.The dataset is named XCAD.The semantic map is centrally located within the image and occupies the majority of the image area, presenting a network of arteries without background details.The exact size of the semantic map cannot be determined from the provided information; however, it appears to be designed to fit within the standard dimensions of the image, utilizing most of the available space.The trend and shape of the semantic map exhibit branching, curvilinear patterns characteristic of coronary arteries, with varying line thickness suggesting different vessel diameters. The main vessels appear to be originating from a common root on the upper-left side and extend towards the extremities of the map with tapering branches.", + "overview": "This is a high-contrast semantic map representing the arterial structures in an X-ray coronary angiography image, designated as a ground truth (GT) for image analysis.", + "dataset": "The dataset is named XCAD.", + "location": "The semantic map is centrally located within the image and occupies the majority of the image area, presenting a network of arteries without background details.", + "size": "The exact size of the semantic map cannot be determined from the provided information; however, it appears to be designed to fit within the standard dimensions of the image, utilizing most of the available space.", + "trend_shape": "The trend and shape of the semantic map exhibit branching, curvilinear patterns characteristic of coronary arteries, with varying line thickness suggesting different vessel diameters. The main vessels appear to be originating from a common root on the upper-left side and extend towards the extremities of the map with tapering branches." + }, + { + "image": "XCAD\\training\\annotations\\15840_29.png", + "caption": "This is a black and white semantic map or ground truth (GT) of coronary arteries, clearly depicted in high contrast with the background;The image is from the XCAD dataset;The semantic map occupies a central position in the image, with a concentration of major curvilinear features located in the upper half and the curvatures extending downwards towards the lower left corner;The size of the semantic map is relatively large within the canvas, with the main artery structures occupying the majority of the image space, allowing for clear visibility of artery paths and branches;The trend and shape of the semantic map include several long, curving lines that represent the major arteries, with branching patterns that illustrate the bifurcation and anastomoses of minor vessels, creating a web-like structure with varying thickness and curvature, indicative of the complexity of the coronary artery system.", + "overview": "This is a black and white semantic map or ground truth (GT) of coronary arteries, clearly depicted in high contrast with the background;", + "dataset": "The image is from the XCAD dataset;", + "location": "The semantic map occupies a central position in the image, with a concentration of major curvilinear features located in the upper half and the curvatures extending downwards towards the lower left corner;", + "size": "The size of the semantic map is relatively large within the canvas, with the main artery structures occupying the majority of the image space, allowing for clear visibility of artery paths and branches;", + "trend_shape": "The trend and shape of the semantic map include several long, curving lines that represent the major arteries, with branching patterns that illustrate the bifurcation and anastomoses of minor vessels, creating a web-like structure with varying thickness and curvature, indicative of the complexity of the coronary artery system." + }, + { + "image": "XCAD\\training\\annotations\\16102_35.png", + "caption": "This image depicts a high-contrast, black-and-white semantic map (GT) of X-ray coronary angiography, delineating the vascular structures against a solid black background.The image is from the XCAD dataset.The semantic map occupies the central and upper-left regions of the image, featuring an intricate network of curvilinear structures.The size of the semantic map is variable across different segments, with some lines being thin and fine, suggesting smaller vessels, and others being thicker and more prominent, indicative of larger arteries or veins.The trend and shape of the semantic map display a complex, branching pattern characteristic of coronary arteries with smooth, curving lines that bifurcate and interconnect, forming an anatomical representation of the vascular system.", + "overview": "This image depicts a high-contrast, black-and-white semantic map (GT) of X-ray coronary angiography, delineating the vascular structures against a solid black background.", + "dataset": "The image is from the XCAD dataset.", + "location": "The semantic map occupies the central and upper-left regions of the image, featuring an intricate network of curvilinear structures.", + "size": "The size of the semantic map is variable across different segments, with some lines being thin and fine, suggesting smaller vessels, and others being thicker and more prominent, indicative of larger arteries or veins.", + "trend_shape": "The trend and shape of the semantic map display a complex, branching pattern characteristic of coronary arteries with smooth, curving lines that bifurcate and interconnect, forming an anatomical representation of the vascular system." + }, + { + "image": "XCAD\\training\\annotations\\16428_46.png", + "caption": "This image displays a high-contrast semantic map (GT) of coronary arteries extracted from an X-ray coronary angiography.The dataset is named XCAD.The semantic map is centrally located within the image against a uniform black background.The map\u2019s size extends nearly the full height of the image, with varying widths as it depicts different segments of the coronary arteries.The trend of the semantic map is elongated and sinuous, with several curvilinear structures varying from broad arcs to tight, intricate curves, representing the complex anatomy of coronary vasculature.", + "overview": "This image displays a high-contrast semantic map (GT) of coronary arteries extracted from an X-ray coronary angiography.", + "dataset": "The dataset is named XCAD.", + "location": "The semantic map is centrally located within the image against a uniform black background.", + "size": "The map\u2019s size extends nearly the full height of the image, with varying widths as it depicts different segments of the coronary arteries.", + "trend_shape": "The trend of the semantic map is elongated and sinuous, with several curvilinear structures varying from broad arcs to tight, intricate curves, representing the complex anatomy of coronary vasculature." + }, + { + "image": "XCAD\\training\\annotations\\18489_21.png", + "caption": "Unfortunately, I'm unable to provide specific details like the image size or the exact location of the semantic map within the image. However, I can create a general caption based on the observable details.This image depicts a stark, high-contrast semantic map representing the vascular structure of a coronary artery system, typically used as groundtruth (GT) in medical imaging analysis.The dataset from which this semantic map originates is named the XCAD dataset.The semantic map is centrally located within the boundaries of the image, with the main arterial structures placed prominently in the field of view.The size of the semantic map relative to the image seems to occupy a significant portion of the image, with the vascular structures varying in thickness and presenting a complex network.The trend of the semantic map shows branching patterns, indicative of arterial bifurcations, with a predominantly linear yet curvilinear shape, mimicking the natural anatomy of coronary arteries.", + "overview": "Unfortunately, I'm unable to provide specific details like the image size or the exact location of the semantic map within the image. However, I can create a general caption based on the observable details.", + "dataset": "This image depicts a stark, high-contrast semantic map representing the vascular structure of a coronary artery system, typically used as groundtruth (GT) in medical imaging analysis.", + "location": "The dataset from which this semantic map originates is named the XCAD dataset.", + "size": "The semantic map is centrally located within the boundaries of the image, with the main arterial structures placed prominently in the field of view.", + "trend_shape": "The size of the semantic map relative to the image seems to occupy a significant portion of the image, with the vascular structures varying in thickness and presenting a complex network.", + "background": "The trend of the semantic map shows branching patterns, indicative of arterial bifurcations, with a predominantly linear yet curvilinear shape, mimicking the natural anatomy of coronary arteries." + }, + { + "image": "XCAD\\test\\images\\00256_39.png", + "caption": "Monochromatic X-ray image featuring a network of branching curvilinear structures within a low-contrast field;XCAD dataset;The coronary angiography prominently situated centrally, slightly left-aligned in the image;Variable size with primary vessels measuring approximately 2-4 mm in diameter, with branching vessels gradually tapering;The primary vessel trend originating from the bottom, proceeding superiorly with a curvilinear arc to the left, secondary branches displaying various curvatures and bifurcations;Homogenous and grainy background with soft tissue shadows.", + "overview": "Monochromatic X-ray image featuring a network of branching curvilinear structures within a low-contrast field;", + "dataset": "XCAD dataset;", + "location": "The coronary angiography prominently situated centrally, slightly left-aligned in the image;", + "size": "Variable size with primary vessels measuring approximately 2-4 mm in diameter, with branching vessels gradually tapering;", + "trend_shape": "The primary vessel trend originating from the bottom, proceeding superiorly with a curvilinear arc to the left, secondary branches displaying various curvatures and bifurcations;", + "background": "Homogenous and grainy background with soft tissue shadows." + }, + { + "image": "XCAD\\test\\images\\00986_65.png", + "caption": "Monochromatic grayscale image showing contrast-enhanced arterial structures against a less defined background.XCAD dataset.Central and upper left portion of the image with visible catheter insertion at the top.Curvilinear structures vary in size, with major arteries showing a diameter larger at their origin tapering as they branch off into smaller vessels.Arterial pathways exhibit a smooth, serpentine trend with several loop-like curves and bifurcations, consistent with the characteristics of coronary arterial anatomy.Homogeneous, dark grayscale background with low contrast and indistinct features.", + "overview": "Monochromatic grayscale image showing contrast-enhanced arterial structures against a less defined background.", + "dataset": "XCAD dataset.", + "location": "Central and upper left portion of the image with visible catheter insertion at the top.", + "size": "Curvilinear structures vary in size, with major arteries showing a diameter larger at their origin tapering as they branch off into smaller vessels.", + "trend_shape": "Arterial pathways exhibit a smooth, serpentine trend with several loop-like curves and bifurcations, consistent with the characteristics of coronary arterial anatomy.", + "background": "Homogeneous, dark grayscale background with low contrast and indistinct features." + }, + { + "image": "XCAD\\test\\images\\01242_29.png", + "caption": "Monochromatic X-ray image showcasing a network of curvilinear structures against a grey background; 2. XCAD dataset; 3. The coronary angiography appears centrally located within the frame; 4. Varies in size: main vessels appear thick and prominent while branching vessels display a thinner diameter; 5. The curvilinear objects display an organic, branching pattern, with a primary artery curving towards the upper right, secondary branches extend outwards, with numerous tertiary vessels arcing and diminishing in size; 6. Homogeneous, grainy, greyscale backdrop.", + "overview": "Monochromatic X-ray image showcasing a network of curvilinear structures against a grey background; 2. XCAD dataset; 3. The coronary angiography appears centrally located within the frame; 4. Varies in size: main vessels appear thick and prominent while branching vessels display a thinner diameter; 5. The curvilinear objects display an organic, branching pattern, with a primary artery curving towards the upper right, secondary branches extend outwards, with numerous tertiary vessels arcing and diminishing in size; 6. Homogeneous, grainy, greyscale backdrop." + }, + { + "image": "XCAD\\test\\images\\01834_33.png", + "caption": "Monochromatic grayscale image displaying an X-ray coronary angiography with high contrast between vascular structures and background; 2. XCAD dataset; 3. The coronary angiography is centrally positioned in the image, with the main arterial structure originating from the top and branching downwards centrally; 4. The coronary angiography extends across the majority of the image with varying vascular calibers, dilated proximal segments and tapering distally, indicating a wide range of vessel sizes; 5. Arterial structure shows curvilinear pathways with both smooth curves and more acute angular deviations, suggesting a combination of both coronary arterial and possibly venous anatomy; 6. Homogeneous dark background with minimal structural noise.", + "overview": "Monochromatic grayscale image displaying an X-ray coronary angiography with high contrast between vascular structures and background; 2. XCAD dataset; 3. The coronary angiography is centrally positioned in the image, with the main arterial structure originating from the top and branching downwards centrally; 4. The coronary angiography extends across the majority of the image with varying vascular calibers, dilated proximal segments and tapering distally, indicating a wide range of vessel sizes; 5. Arterial structure shows curvilinear pathways with both smooth curves and more acute angular deviations, suggesting a combination of both coronary arterial and possibly venous anatomy; 6. Homogeneous dark background with minimal structural noise." + }, + { + "image": "XCAD\\test\\images\\02884_26.png", + "caption": "The image shows a grayscale, high-contrast X-ray angiography of coronary arteries with visible vessel outlines against a darker background.The name of the dataset is XCAD.The coronary angiography is prominently featured in the central region of the image, occupying the majority of the viewable area.The coronary angiography shows arteries of varying sizes, with the main vessel diameter appearing to be approximately 2 to 4 millimeters, branching into progressively smaller vessels.The main coronary artery exhibits a sinuous trend with a curved shape, bifurcating into several smaller branches that display an arborized pattern with curvilinear trajectories that wrap around the cardiac silhouette.The background is homogeneous and dark, providing contrast to the highlighted vasculature.", + "overview": "The image shows a grayscale, high-contrast X-ray angiography of coronary arteries with visible vessel outlines against a darker background.", + "dataset": "The name of the dataset is XCAD.", + "location": "The coronary angiography is prominently featured in the central region of the image, occupying the majority of the viewable area.", + "size": "The coronary angiography shows arteries of varying sizes, with the main vessel diameter appearing to be approximately 2 to 4 millimeters, branching into progressively smaller vessels.", + "trend_shape": "The main coronary artery exhibits a sinuous trend with a curved shape, bifurcating into several smaller branches that display an arborized pattern with curvilinear trajectories that wrap around the cardiac silhouette.", + "background": "The background is homogeneous and dark, providing contrast to the highlighted vasculature." + }, + { + "image": "XCAD\\test\\images\\02997_29.png", + "caption": "Monochromatic X-ray image showing contrast-filled curvilinear structures against a mottled background;XCAD dataset;The coronary angiography is centrally located, with primary structures prominently visible in the center of the image;Variable; main vessels range from 2 to 4 mm in apparent diameter, with smaller branching vessels less than 1 mm in diameter;Arteries have a tortuous and branching pattern with smooth contours; several arterial bifurcations visible; vessels curve in loops and zigzag patterns;Uniform gray density with regions of darker and lighter shades providing a textured appearance.", + "overview": "Monochromatic X-ray image showing contrast-filled curvilinear structures against a mottled background;", + "dataset": "XCAD dataset;", + "location": "The coronary angiography is centrally located, with primary structures prominently visible in the center of the image;", + "size": "Variable; main vessels range from 2 to 4 mm in apparent diameter, with smaller branching vessels less than 1 mm in diameter;", + "trend_shape": "Arteries have a tortuous and branching pattern with smooth contours; several arterial bifurcations visible; vessels curve in loops and zigzag patterns;", + "background": "Uniform gray density with regions of darker and lighter shades providing a textured appearance." + }, + { + "image": "XCAD\\test\\images\\03066_27.png", + "caption": "Monochromatic X-ray image displaying contrast-filled curvilinear structures amidst a muted grayscale background;XCAD dataset;The coronary angiography is centralized, predominantly occupying the top half of the image with branching vessels extending towards the periphery;Variable size, with the main artery appearing thick at its origin proximally and tapering as it branches distally;The angiography reveals sinuous vessels with sweeping curves and bifurcating branches, exhibiting a winding pattern reminiscent of a tree's vasculature;Homogenous, grainy grayscale texture without distinct features.", + "overview": "Monochromatic X-ray image displaying contrast-filled curvilinear structures amidst a muted grayscale background;", + "dataset": "XCAD dataset;", + "location": "The coronary angiography is centralized, predominantly occupying the top half of the image with branching vessels extending towards the periphery;", + "size": "Variable size, with the main artery appearing thick at its origin proximally and tapering as it branches distally;", + "trend_shape": "The angiography reveals sinuous vessels with sweeping curves and bifurcating branches, exhibiting a winding pattern reminiscent of a tree's vasculature;", + "background": "Homogenous, grainy grayscale texture without distinct features." + }, + { + "image": "XCAD\\test\\images\\03906_20.png", + "caption": "Monochromatic X-ray image displaying contrast-filled curvilinear structures against a uniform background.XCAD dataset.The coronary angiography is centrally located, occupying a major part of the image vertically.The size is moderate relative to the image dimension with the largest vessel curvature approximately one-fourth the image height.The angiography shows branching, serpentine vessels with varying diameters, some segments appearing tapered and others more consistent; vessels demonstrate complex, interconnected looping patterns.Diffuse, indistinct, homogeneous background with no discernible features.", + "overview": "Monochromatic X-ray image displaying contrast-filled curvilinear structures against a uniform background.", + "dataset": "XCAD dataset.", + "location": "The coronary angiography is centrally located, occupying a major part of the image vertically.", + "size": "The size is moderate relative to the image dimension with the largest vessel curvature approximately one-fourth the image height.", + "trend_shape": "The angiography shows branching, serpentine vessels with varying diameters, some segments appearing tapered and others more consistent; vessels demonstrate complex, interconnected looping patterns.", + "background": "Diffuse, indistinct, homogeneous background with no discernible features." + }, + { + "image": "XCAD\\test\\images\\03920_21.png", + "caption": "Black and white X-ray image of a coronary angiography highlighting the arterial structures of the heart with contrast medium; 2. XCAD dataset; 3. The coronary angiography is centrally located in the image, displaying the left and right coronary arterial systems; 4. The coronary angiography is of variable size throughout, with arterial segments ranging from less than 1 mm to over 5 mm in diameter; 5. The coronary arteries display a tortuous and branching pattern, with several curvatures and bifurcations characteristic of coronary vasculature; 6. Homogeneous grey background.", + "overview": "Black and white X-ray image of a coronary angiography highlighting the arterial structures of the heart with contrast medium; 2. XCAD dataset; 3. The coronary angiography is centrally located in the image, displaying the left and right coronary arterial systems; 4. The coronary angiography is of variable size throughout, with arterial segments ranging from less than 1 mm to over 5 mm in diameter; 5. The coronary arteries display a tortuous and branching pattern, with several curvatures and bifurcations characteristic of coronary vasculature; 6. Homogeneous grey background." + }, + { + "image": "XCAD\\test\\images\\04174_22.png", + "caption": "Greyscale X-ray image displaying the arterial structure of a heart; 2. XCAD dataset; 3. The coronary angiography is prominently visible in the center of the image, with arterial branches extending towards the top left, top right, and bottom portions of the image; 4. The angiography encompasses a broad range of sizes, with some arteries appearing fine and thread-like, while others appear thicker, constituting major vascular pathways; 5. The angiography appears complex and interconnected with curvilinear structures that bifurcate and loop, following a tortuous path that displays both smooth curves and sharper bends; 6. Homogeneous, mottled gray background with varying shades providing contrast to the highlighted arterial structures.", + "overview": "Greyscale X-ray image displaying the arterial structure of a heart; 2. XCAD dataset; 3. The coronary angiography is prominently visible in the center of the image, with arterial branches extending towards the top left, top right, and bottom portions of the image; 4. The angiography encompasses a broad range of sizes, with some arteries appearing fine and thread-like, while others appear thicker, constituting major vascular pathways; 5. The angiography appears complex and interconnected with curvilinear structures that bifurcate and loop, following a tortuous path that displays both smooth curves and sharper bends; 6. Homogeneous, mottled gray background with varying shades providing contrast to the highlighted arterial structures." + }, + { + "image": "XCAD\\test\\images\\05244_37.png", + "caption": "Black and white X-ray image showing contrast-enhanced curvilinear structures representing coronary arteries; 2. XCAD dataset; 3. Coronary angiography is centrally located, with the main vessel structures oriented upwards towards the top edge of the image; 4. The coronary angiography shows vessels of varying calibers, with the primary artery diameter approximately 2-5 mm, and branching vessels progressively decreasing in size as they extend from the main artery; 5. The main coronary artery exhibits a smooth, curvilinear path with gentle curves, while the branching vessels display a more tortuous and intricate pattern, some of which appear slightly irregular in contour; 6. Homogeneous, translucent grey background with minimal artifacts or other distinguishable features.", + "overview": "Black and white X-ray image showing contrast-enhanced curvilinear structures representing coronary arteries; 2. XCAD dataset; 3. Coronary angiography is centrally located, with the main vessel structures oriented upwards towards the top edge of the image; 4. The coronary angiography shows vessels of varying calibers, with the primary artery diameter approximately 2-5 mm, and branching vessels progressively decreasing in size as they extend from the main artery; 5. The main coronary artery exhibits a smooth, curvilinear path with gentle curves, while the branching vessels display a more tortuous and intricate pattern, some of which appear slightly irregular in contour; 6. Homogeneous, translucent grey background with minimal artifacts or other distinguishable features." + }, + { + "image": "XCAD\\test\\images\\05874_12.png", + "caption": "Monochrome X-ray image of a contrast-enhanced coronary artery network; 2. XCAD dataset; 3. Coronary angiography is centralized in the image, with major vessels radiating from a central area positioned slightly above the center of the frame; 4. The coronary angiography depicts vessels of varying size, ranging from large primary arteries to finer, more intricate branches; 5. The coronary arteries display a serpentine pattern, with the main vessels exhibiting broad, curvilinear trajectories and secondary branches forming more complex curvatures and bifurcations; 6. The background is uniform and dark, providing high contrast to the highlighted vessels.", + "overview": "Monochrome X-ray image of a contrast-enhanced coronary artery network; 2. XCAD dataset; 3. Coronary angiography is centralized in the image, with major vessels radiating from a central area positioned slightly above the center of the frame; 4. The coronary angiography depicts vessels of varying size, ranging from large primary arteries to finer, more intricate branches; 5. The coronary arteries display a serpentine pattern, with the main vessels exhibiting broad, curvilinear trajectories and secondary branches forming more complex curvatures and bifurcations; 6. The background is uniform and dark, providing high contrast to the highlighted vessels." + }, + { + "image": "XCAD\\test\\images\\06008_42.png", + "caption": "Monochromatic X-ray image featuring curvilinear contrast-filled structures against a uniform dark background; 2. XCAD dataset; 3. The coronary angiography is centrally located in the image, predominantly in the upper half; 4. Varies in size with some segments appearing wider due to the orientation or overlap, and others narrower, consistent with the natural variation in vessel diameter; 5. The curvilinear structures trend from the center outward with multiple branches and bifurcations, exhibiting a complex tree-like shape with smooth, gentle curves as well as more acute angles at branch points; 6. Dark and homogeneous with minimal visual noise.", + "overview": "Monochromatic X-ray image featuring curvilinear contrast-filled structures against a uniform dark background; 2. XCAD dataset; 3. The coronary angiography is centrally located in the image, predominantly in the upper half; 4. Varies in size with some segments appearing wider due to the orientation or overlap, and others narrower, consistent with the natural variation in vessel diameter; 5. The curvilinear structures trend from the center outward with multiple branches and bifurcations, exhibiting a complex tree-like shape with smooth, gentle curves as well as more acute angles at branch points; 6. Dark and homogeneous with minimal visual noise." + }, + { + "image": "XCAD\\test\\images\\06080_31.png", + "caption": "Monochromatic, high-contrast image of coronary arteries visible through angiography, with clear visualization of arterial structure and branching patterns;XCAD dataset;The coronary angiography is predominantly located in the central and upper right portions of the image, with arterial branches extending to the periphery;The angiography reveals arteries of varying sizes, from larger main coronary arteries to thinner, smaller branches, with the main vessels being approximately 2-4 mm in diameter, tapering as they branch out;The coronary angiography shows a tortuous and branching trend, with smooth curvilinear shapes that include gentle curves and more pronounced bends, indicative of the natural course of coronary arteries as they supply blood to the heart muscle;The background is a uniform, diffuse, and granular texture characteristic of X-ray imaging, providing a contrast that emphasizes the vascular structures.", + "overview": "Monochromatic, high-contrast image of coronary arteries visible through angiography, with clear visualization of arterial structure and branching patterns;", + "dataset": "XCAD dataset;", + "location": "The coronary angiography is predominantly located in the central and upper right portions of the image, with arterial branches extending to the periphery;", + "size": "The angiography reveals arteries of varying sizes, from larger main coronary arteries to thinner, smaller branches, with the main vessels being approximately 2-4 mm in diameter, tapering as they branch out;", + "trend_shape": "The coronary angiography shows a tortuous and branching trend, with smooth curvilinear shapes that include gentle curves and more pronounced bends, indicative of the natural course of coronary arteries as they supply blood to the heart muscle;", + "background": "The background is a uniform, diffuse, and granular texture characteristic of X-ray imaging, providing a contrast that emphasizes the vascular structures." + }, + { + "image": "XCAD\\test\\images\\06647_29.png", + "caption": "X-ray image displaying contrast-filled vascular structures against a grey background.XCAD dataset.The coronary angiography is prominently visible in the upper half of the image, predominantly central and slightly right-of-center from the viewer's perspective.The angiography exhibits vessels of varying calibers, with the main arterial structure measuring approximately one-fourth the image width in its broadest part and tapering as it branches out.The arterial structure displays sinuous, curvilinear forms, extending in a serpentine fashion with branching points that form acute to obtuse angles; some segments have a corkscrew-like appearance indicating tortuosity.Homogeneous, grainy dark grey background with soft tissue shadows.", + "overview": "X-ray image displaying contrast-filled vascular structures against a grey background.", + "dataset": "XCAD dataset.", + "location": "The coronary angiography is prominently visible in the upper half of the image, predominantly central and slightly right-of-center from the viewer's perspective.", + "size": "The angiography exhibits vessels of varying calibers, with the main arterial structure measuring approximately one-fourth the image width in its broadest part and tapering as it branches out.", + "trend_shape": "The arterial structure displays sinuous, curvilinear forms, extending in a serpentine fashion with branching points that form acute to obtuse angles; some segments have a corkscrew-like appearance indicating tortuosity.", + "background": "Homogeneous, grainy dark grey background with soft tissue shadows." + }, + { + "image": "XCAD\\training\\images\\16102_35.png", + "caption": "Monochromatic X-ray image of coronary arteries with contrast medium;XCAD dataset;The coronary angiography is centrally located, predominantly in the upper half of the image with the main structures highlighted by the contrast medium;The coronary angiography shows vessels of varying size, from approximately 1-5 mm in diameter, with some areas of the vessels narrowing, indicating possible stenosis;The arteries display a complex, intertwining curvilinear pattern with multiple branching points and curving trajectories; predominantly smooth contours with some irregularities possibly indicative of pathological changes;The background is a uniform, grainy, and diffused grayscale field providing contrast to the highlighted vasculature.", + "overview": "Monochromatic X-ray image of coronary arteries with contrast medium;", + "dataset": "XCAD dataset;", + "location": "The coronary angiography is centrally located, predominantly in the upper half of the image with the main structures highlighted by the contrast medium;", + "size": "The coronary angiography shows vessels of varying size, from approximately 1-5 mm in diameter, with some areas of the vessels narrowing, indicating possible stenosis;", + "trend_shape": "The arteries display a complex, intertwining curvilinear pattern with multiple branching points and curving trajectories; predominantly smooth contours with some irregularities possibly indicative of pathological changes;", + "background": "The background is a uniform, grainy, and diffused grayscale field providing contrast to the highlighted vasculature." + }, + { + "image": "XCAD\\test\\images\\07358_29.png", + "caption": "Monochromatic X-ray image displaying the contrast-enhanced coronary arteries of a human heart;XCAD dataset;The coronary angiography is centrally located in the image, predominantly in the upper half;The coronary angiography varies in size with main arteries approximately 2-4 mm in width, branching into finer vessels;The coronary arteries display a complex curvilinear network, characterized by smooth, sinuous paths with varying curvature and bifurcating branches;The background is uniform and dark, providing contrast to the highlighted vasculature.", + "overview": "Monochromatic X-ray image displaying the contrast-enhanced coronary arteries of a human heart;", + "dataset": "XCAD dataset;", + "location": "The coronary angiography is centrally located in the image, predominantly in the upper half;", + "size": "The coronary angiography varies in size with main arteries approximately 2-4 mm in width, branching into finer vessels;", + "trend_shape": "The coronary arteries display a complex curvilinear network, characterized by smooth, sinuous paths with varying curvature and bifurcating branches;", + "background": "The background is uniform and dark, providing contrast to the highlighted vasculature." + }, + { + "image": "XCAD\\test\\images\\07569_21.png", + "caption": "Monochromatic X-ray image depicting curvilinear structures consistent with blood vessels; 2. XCAD dataset; 3. Curvilinear structures located centrally, occupying the upper two-thirds of the image slightly biased towards the right side; 4. Variable thickness ranging from approximately 1-4 mm in diameter; 5. The blood vessels display a serpentine pattern, with a combination of smooth, gradual curves and a few sharper bends, particularly prominent in the upper-right quarter of the image, indicating both larger arterial branches and smaller bifurcations; 6. Homogeneous, grainy grey background with soft tissue shadows.", + "overview": "Monochromatic X-ray image depicting curvilinear structures consistent with blood vessels; 2. XCAD dataset; 3. Curvilinear structures located centrally, occupying the upper two-thirds of the image slightly biased towards the right side; 4. Variable thickness ranging from approximately 1-4 mm in diameter; 5. The blood vessels display a serpentine pattern, with a combination of smooth, gradual curves and a few sharper bends, particularly prominent in the upper-right quarter of the image, indicating both larger arterial branches and smaller bifurcations; 6. Homogeneous, grainy grey background with soft tissue shadows." + }, + { + "image": "XCAD\\test\\images\\08797_46.png", + "caption": "Monochromatic X-ray image displaying a radiopaque network of curvilinear structures characteristic of coronary arteries;XCAD dataset;The coronary angiography is predominantly located in the upper half of the image, with the main arteries horizontally oriented across the center from left to right and branching structures extending downwards;The main artery has a variable caliber, approximately 2-4 mm at widest visible points, with finer branching vessels tapering down to under 1 mm;The main vessels show a curving trend, with the largest artery arching slightly before branching. The branches display tortuosity with smooth, curvy segments and bifurcations, with a decreasing diameter as they extend peripherally;The background depicts a homogeneous grayscale gradient, with some vertical striations and soft tissues visible providing contrast.", + "overview": "Monochromatic X-ray image displaying a radiopaque network of curvilinear structures characteristic of coronary arteries;", + "dataset": "XCAD dataset;", + "location": "The coronary angiography is predominantly located in the upper half of the image, with the main arteries horizontally oriented across the center from left to right and branching structures extending downwards;", + "size": "The main artery has a variable caliber, approximately 2-4 mm at widest visible points, with finer branching vessels tapering down to under 1 mm;", + "trend_shape": "The main vessels show a curving trend, with the largest artery arching slightly before branching. The branches display tortuosity with smooth, curvy segments and bifurcations, with a decreasing diameter as they extend peripherally;", + "background": "The background depicts a homogeneous grayscale gradient, with some vertical striations and soft tissues visible providing contrast." + }, + { + "image": "XCAD\\test\\images\\12241_33.png", + "caption": "Monochromatic X-ray image displaying contrast-enhanced arterial structures; 2. XCAD dataset; 3. Central to the image, predominantly on the left side; 4. Varies from fine to moderate thickness with branching structures; 5. Complex, intertwining curvilinear shapes with a mixture of smooth and tapered trends; 6. Homogeneous, featureless grey background.", + "overview": "Monochromatic X-ray image displaying contrast-enhanced arterial structures; 2. XCAD dataset; 3. Central to the image, predominantly on the left side; 4. Varies from fine to moderate thickness with branching structures; 5. Complex, intertwining curvilinear shapes with a mixture of smooth and tapered trends; 6. Homogeneous, featureless grey background." + }, + { + "image": "XCAD\\test\\images\\16028_20.png", + "caption": "Monochromatic X-ray image showing contrast-enhanced vascular structures;XCAD dataset;Coronary angiography is predominantly visible in the upper left quadrant of the image, extending towards the center;The angiography presents with a primary vessel diameter ranging from 2-4 mm, with branching vessels tapering down to sub-millimeter thickness;Vessels exhibit a sinuous and arborescent pattern with smooth curvature, including several acute bends and bifurcations towards the distal ends;The background is uniform with variations in grayscale due to tissue density, lacking distinct structures.", + "overview": "Monochromatic X-ray image showing contrast-enhanced vascular structures;", + "dataset": "XCAD dataset;", + "location": "Coronary angiography is predominantly visible in the upper left quadrant of the image, extending towards the center;", + "size": "The angiography presents with a primary vessel diameter ranging from 2-4 mm, with branching vessels tapering down to sub-millimeter thickness;", + "trend_shape": "Vessels exhibit a sinuous and arborescent pattern with smooth curvature, including several acute bends and bifurcations towards the distal ends;", + "background": "The background is uniform with variations in grayscale due to tissue density, lacking distinct structures." + }, + { + "image": "XCAD\\test\\images\\07769_24.png", + "caption": "Monochromatic X-ray image displaying the intricate vasculature of a heart through coronary angiography. XCAD dataset. The coronary angiography is positioned predominantly in the upper half of the image, with the main artery observed originating from the top left, curving downward towards the apex of the heart. The coronary angiography captures a large main artery that tapers as it branches out, with the vessel diameters ranging from larger proximal sections to finer distal branches. The trend of the coronary angiography is characterized by a dominant left coronary artery dividing into a left anterior descending artery with a linear trajectory and a circumflex artery with a more curled pattern; both exhibit tertiary branches that are more tortuous and finely delineated. The background is an opaque, homogenous grey, enhancing the contrast of the angiography.", + "overview": "Monochromatic X-ray image displaying the intricate vasculature of a heart through coronary angiography.", + "dataset": "XCAD dataset;", + "location": "The coronary angiography is positioned predominantly in the upper half of the image, with the main artery observed originating from the top left, curving downward towards the apex of the heart.", + "size": "The coronary angiography captures a large main artery that tapers as it branches out, with the vessel diameters ranging from larger proximal sections to finer distal branches.", + "trend_shape": "The trend of the coronary angiography is characterized by a dominant left coronary artery dividing into a left anterior descending artery with a linear trajectory and a circumflex artery with a more curled pattern; both exhibit tertiary branches that are more tortuous and finely delineated.", + "background": "The background is an opaque, homogenous grey, enhancing the contrast of the angiography." + }, + { + "image": "XCAD\\test\\images\\11357_13.png", + "caption": "Greyscale fluoroscopic image showing contrast-enhanced coronary arteries during a diagnostic angiogram. XCAD dataset. The coronary angiography delineates the coronary arteries primarily centralized in the image, with the catheter visible in the top-middle, extending downwards. The coronary angiography demonstrates the arterial tree with varying vessel calibers, from the wider proximal segments to the narrower distal branches. The coronary angiography depicts a curving main artery with bifurcations and smaller branching vessels, following a sinuous path with gentle curves and some acute angulations indicative of normal coronary artery anatomy. The background is uniform and dark, providing a stark contrast to the highlighted vasculature.", + "overview": "Greyscale fluoroscopic image showing contrast-enhanced coronary arteries during a diagnostic angiogram.", + "dataset": "XCAD dataset;", + "location": "The coronary angiography delineates the coronary arteries primarily centralized in the image, with the catheter visible in the top-middle, extending downwards.", + "size": "The coronary angiography demonstrates the arterial tree with varying vessel calibers, from the wider proximal segments to the narrower distal branches.", + "trend_shape": "The coronary angiography depicts a curving main artery with bifurcations and smaller branching vessels, following a sinuous path with gentle curves and some acute angulations indicative of normal coronary artery anatomy.", + "background": "The background is uniform and dark, providing a stark contrast to the highlighted vasculature." + }, + { + "image": "XCAD\\test\\images\\16280_32.png", + "caption": "Monochromatic X-ray image displaying highlighted coronary arteries through contrast medium infusion. XCAD dataset. Coronary angiography is visible across the central to upper right quadrant, with a focus on the heart's left side as viewed from the front. The coronary angiography outlines several branching arteries of varying sizes, some as thin as a few millimeters in diameter. The coronary angiography reveals a complex network of curvilinear structures with smooth, flowing lines; the primary vessel courses vertically before arborizing into finer, delicately curved branches. The background is a diffuse greyscale field with soft shadows and minimal anatomical detail, enhancing the visibility of the vascular structures.", + "overview": "Monochromatic X-ray image displaying highlighted coronary arteries through contrast medium infusion.", + "dataset": "XCAD dataset;", + "location": "Coronary angiography is visible across the central to upper right quadrant, with a focus on the heart's left side as viewed from the front.", + "size": "The coronary angiography outlines several branching arteries of varying sizes, some as thin as a few millimeters in diameter.", + "trend_shape": "The coronary angiography reveals a complex network of curvilinear structures with smooth, flowing lines; the primary vessel courses vertically before arborizing into finer, delicately curved branches.", + "background": "The background is a diffuse greyscale field with soft shadows and minimal anatomical detail, enhancing the visibility of the vascular structures." + }, + { + "image": "XCAD\\test\\images\\16291_31.png", + "caption": "Monochromatic X-ray image displaying high-contrast branching structures;XCAD dataset;Coronary angiography visible centrally, with branching mostly in the upper and middle sectors of the image;Varying in size, with main vessels being thicker, tapering into finer branches;Curvilinear with smooth curves, following a tortuous path with some vessels forming acute angles, some running parallel with gradual turns;Uniform, grainy grey background.", + "overview": "Monochromatic X-ray image displaying high-contrast branching structures;", + "dataset": "XCAD dataset;", + "location": "Coronary angiography visible centrally, with branching mostly in the upper and middle sectors of the image;", + "size": "Varying in size, with main vessels being thicker, tapering into finer branches;", + "trend_shape": "Curvilinear with smooth curves, following a tortuous path with some vessels forming acute angles, some running parallel with gradual turns;", + "background": "Uniform, grainy grey background." + }, + { + "image": "XCAD\\test\\images\\17543_38.png", + "caption": "Monochromatic X-ray image displaying high-contrast curvilinear structures against a uniform background;XCAD dataset;The coronary angiography is centrally located, predominantly occupying the upper half of the image, with extensions radiating toward the bottom right corner;The angiography shows a network of vessels with varying diameters ranging from very fine to more robust, spanning most of the image's width and height;The vessels exhibit a sinuous trend, with multiple branching points and curvatures forming a complex tree-like structure; the main vessels proceed from the top center downward before diverging;The background is homogeneous and devoid of distinguishing features, providing a clear contrast to the vessel structures.", + "overview": "Monochromatic X-ray image displaying high-contrast curvilinear structures against a uniform background;", + "dataset": "XCAD dataset;", + "location": "The coronary angiography is centrally located, predominantly occupying the upper half of the image, with extensions radiating toward the bottom right corner;", + "size": "The angiography shows a network of vessels with varying diameters ranging from very fine to more robust, spanning most of the image's width and height;", + "trend_shape": "The vessels exhibit a sinuous trend, with multiple branching points and curvatures forming a complex tree-like structure; the main vessels proceed from the top center downward before diverging;", + "background": "The background is homogeneous and devoid of distinguishing features, providing a clear contrast to the vessel structures." + }, + { + "image": "XCAD\\test\\images\\17817_17.png", + "caption": "Monochrome X-ray image showing the contrast-enhanced arteries of a heart from an angiogram;XCAD dataset;The coronary angiography is centrally located, with the main artery visibly branching from the bottom left to the upper right quadrant of the image;The main artery's size varies, with a more prominent diameter at the base near the bottom left, tapering off as it branches outward;The arteries exhibit a curvilinear, sinuous trend with a mix of smooth and slightly irregular shapes, indicative of natural arterial pathways; the branching pattern is complex with some arteries subdividing into thinner vessels;The background is uniformly dark with opacity variations and faint outlines of surrounding tissues and skeletal structures.", + "overview": "Monochrome X-ray image showing the contrast-enhanced arteries of a heart from an angiogram;", + "dataset": "XCAD dataset;", + "location": "The coronary angiography is centrally located, with the main artery visibly branching from the bottom left to the upper right quadrant of the image;", + "size": "The main artery's size varies, with a more prominent diameter at the base near the bottom left, tapering off as it branches outward;", + "trend_shape": "The arteries exhibit a curvilinear, sinuous trend with a mix of smooth and slightly irregular shapes, indicative of natural arterial pathways; the branching pattern is complex with some arteries subdividing into thinner vessels;", + "background": "The background is uniformly dark with opacity variations and faint outlines of surrounding tissues and skeletal structures." + }, + { + "image": "XCAD\\test\\images\\17860_31.png", + "caption": "Black-and-white X-ray image showing contrast-filled vascular structures;Name of dataset: XCAD;Location: The coronary angiography appears centrally situated within the image frame, predominantly occupying the middle to the lower right quadrant;Size: The angiography size varies across its length, starting from a few millimeters in diameter at the larger proximal vessels to under a millimeter at the distal branches;Trend and shape: The angiography depicts arborized, serpentine vessels with curvilinear paths; there are multiple branching points with varying angles of divergence, depicting a combination of gently and sharply curved segments, suggesting normal anatomic variability of coronary vasculature;Background: The background is uniformly dark with subtle variations in gray shades, providing contrast against the vascular structures.", + "overview": "Black-and-white X-ray image showing contrast-filled vascular structures;", + "dataset": "Name of dataset: XCAD;", + "location": "Location: The coronary angiography appears centrally situated within the image frame, predominantly occupying the middle to the lower right quadrant;", + "size": "Size: The angiography size varies across its length, starting from a few millimeters in diameter at the larger proximal vessels to under a millimeter at the distal branches;", + "trend_shape": "Trend and shape: The angiography depicts arborized, serpentine vessels with curvilinear paths; there are multiple branching points with varying angles of divergence, depicting a combination of gently and sharply curved segments, suggesting normal anatomic variability of coronary vasculature;", + "background": "Background: The background is uniformly dark with subtle variations in gray shades, providing contrast against the vascular structures." + }, + { + "image": "XCAD\\test\\images\\18323_20.png", + "caption": "Monochromatic X-ray image with high contrast contours of vascular structures against a diffuse background; 2. XCAD dataset; 3. Central to the image, predominantly occupying the middle third both horizontally and vertically; 4. Varying thickness, with main vessels approximately 1mm and branching vessels progressively thinner as they diverge; 5. The main vessels exhibit a smooth, curving trajectory with multiple bifurcating branches that form a complex arborescent pattern; 6. The background is uneven, with gradient shadowing and indistinct shapes.", + "overview": "Monochromatic X-ray image with high contrast contours of vascular structures against a diffuse background; 2. XCAD dataset; 3. Central to the image, predominantly occupying the middle third both horizontally and vertically; 4. Varying thickness, with main vessels approximately 1mm and branching vessels progressively thinner as they diverge; 5. The main vessels exhibit a smooth, curving trajectory with multiple bifurcating branches that form a complex arborescent pattern; 6. The background is uneven, with gradient shadowing and indistinct shapes." + }, + { + "image": "XCAD\\test\\images\\18650_42.png", + "caption": "Monochrome X-ray image displaying high-contrast vascular structures against a muted background;XCAD dataset;The coronary angiography is centrally located, predominantly on the left half of the image with extensions toward the center;The coronary angiography exhibits vessels of varying sizes, with the main artery being prominent and of substantial diameter, branching into thinner vessels;The main artery shows a smooth curvilinear path with a downward trend initially, followed by an upwards loop, while the thinner branches demonstrate a more complex and varied curvilinear approach;The background is homogeneous and featureless, providing contrast to the vascular structures.", + "overview": "Monochrome X-ray image displaying high-contrast vascular structures against a muted background;", + "dataset": "XCAD dataset;", + "location": "The coronary angiography is centrally located, predominantly on the left half of the image with extensions toward the center;", + "size": "The coronary angiography exhibits vessels of varying sizes, with the main artery being prominent and of substantial diameter, branching into thinner vessels;", + "trend_shape": "The main artery shows a smooth curvilinear path with a downward trend initially, followed by an upwards loop, while the thinner branches demonstrate a more complex and varied curvilinear approach;", + "background": "The background is homogeneous and featureless, providing contrast to the vascular structures." + }, + { + "image": "XCAD\\test\\annotations\\00242_44.png", + "caption": "This is a semantic map or ground truth (GT) representation of coronary arteries from an X-ray coronary angiography image, featuring simplified curvilinear structures on a uniform background.The dataset is referred to as the XCAD dataset.The semantic map is centrally located within the image, occupying the majority of the image area.The size of the semantic map is large relative to the image frame, with the map's curvilinear structures stretching across the full height and the majority of the width of the image.The trend of the semantic map shows the complex and interwoven nature of arterial structures, with multiple branches and varying curvatures. The shape is representative of arterial pathways in the heart, including the main trunk and bifurcating vessels, depicted by the lines varying from thin to slightly thicker strokes, emulating the natural variation in vessel diameter.", + "overview": "This is a semantic map or ground truth (GT) representation of coronary arteries from an X-ray coronary angiography image, featuring simplified curvilinear structures on a uniform background.", + "dataset": "The dataset is referred to as the XCAD dataset.", + "location": "The semantic map is centrally located within the image, occupying the majority of the image area.", + "size": "The size of the semantic map is large relative to the image frame, with the map's curvilinear structures stretching across the full height and the majority of the width of the image.", + "trend_shape": "The trend of the semantic map shows the complex and interwoven nature of arterial structures, with multiple branches and varying curvatures. The shape is representative of arterial pathways in the heart, including the main trunk and bifurcating vessels, depicted by the lines varying from thin to slightly thicker strokes, emulating the natural variation in vessel diameter." + }, + { + "image": "XCAD\\test\\annotations\\00256_39.png", + "caption": "This image depicts a high-contrast semantic map of coronary arteries, representing the ground truth (GT) for an X-ray coronary angiography analysis.The dataset name is XCAD.The semantic map is centrally located within the image boundaries, occupying a majority of the image space.The size of the semantic map is substantial relative to the image, with the widest artery representations measuring approximately a fifth of the image width and the longest segments spanning nearly the full height of the image.The trend of the semantic map reveals a complex network of curvilinear objects, with the shape characterized by branching and tapering structures that mimic the natural course of coronary arteries, displaying both primary arteries and finer branches.", + "overview": "This image depicts a high-contrast semantic map of coronary arteries, representing the ground truth (GT) for an X-ray coronary angiography analysis.", + "dataset": "The dataset name is XCAD.", + "location": "The semantic map is centrally located within the image boundaries, occupying a majority of the image space.", + "size": "The size of the semantic map is substantial relative to the image, with the widest artery representations measuring approximately a fifth of the image width and the longest segments spanning nearly the full height of the image.", + "trend_shape": "The trend of the semantic map reveals a complex network of curvilinear objects, with the shape characterized by branching and tapering structures that mimic the natural course of coronary arteries, displaying both primary arteries and finer branches." + }, + { + "image": "XCAD\\test\\annotations\\00656_38.png", + "caption": "This is a black and white semantic map (GT) of coronary arteries designed for medical image analysis; 2. The semantic map is from the XCAD dataset; 3. The arteries are centrally located within the image, occupying the majority of the space, positioned against a black background; 4. The size of the semantic map is large, covering nearly the entire image, with a high-resolution detail of the artery branches; 5. The trend of the semantic map is complex with multiple branching patterns, and the shape features curvilinear forms that mimic the natural anatomy of coronary arteries with varying widths and curvatures.", + "overview": "This is a black and white semantic map (GT) of coronary arteries designed for medical image analysis; 2. The semantic map is from the XCAD dataset; 3. The arteries are centrally located within the image, occupying the majority of the space, positioned against a black background; 4. The size of the semantic map is large, covering nearly the entire image, with a high-resolution detail of the artery branches; 5. The trend of the semantic map is complex with multiple branching patterns, and the shape features curvilinear forms that mimic the natural anatomy of coronary arteries with varying widths and curvatures." + }, + { + "image": "XCAD\\test\\annotations\\00782_41.png", + "caption": "Black background featuring white curvilinear structures, representing a semantic map or groundtruth (GT) of coronary arteries; 2. XCAD dataset; 3. Semantic map centrally located, occupying the majority of the image area; 4. Large, covering approximately 80% of the image height and 60% of the image width; 5. The map shows a main artery with bifurcations extending to thinner branches; varying curvature with both smooth and sharp turns, predominantly vertical orientation with some diagonal branching.", + "overview": "Black background featuring white curvilinear structures, representing a semantic map or groundtruth (GT) of coronary arteries; 2. XCAD dataset; 3. Semantic map centrally located, occupying the majority of the image area; 4. Large, covering approximately 80% of the image height and 60% of the image width; 5. The map shows a main artery with bifurcations extending to thinner branches; varying curvature with both smooth and sharp turns, predominantly vertical orientation with some diagonal branching." + }, + { + "image": "XCAD\\test\\annotations\\00986_65.png", + "caption": "This is a black and white semantic map image, representing the ground truth (GT) extracted from an X-ray coronary angiography, with high contrast between the curvilinear structures and the background.The dataset is the XCAD dataset.The semantic map is centrally located within the image, occupying the majority of the space and leaving a thin border of background around the periphery.The size of the semantic map is large relative to the image, extending from the top edge to the bottom edge and from the left to the right edges, without touching them, demonstrating the prominent depiction of the coronary arteries.The trend of the curvilinear structures in the semantic map is intricate, depicting multiple branching patterns characteristic of coronary arteries; the shapes are smooth and continuous with varying widths, conveying the typical anatomy and pathway of blood vessels in the heart, including both main corridors and smaller branches.", + "overview": "This is a black and white semantic map image, representing the ground truth (GT) extracted from an X-ray coronary angiography, with high contrast between the curvilinear structures and the background.", + "dataset": "The dataset is the XCAD dataset.", + "location": "The semantic map is centrally located within the image, occupying the majority of the space and leaving a thin border of background around the periphery.", + "size": "The size of the semantic map is large relative to the image, extending from the top edge to the bottom edge and from the left to the right edges, without touching them, demonstrating the prominent depiction of the coronary arteries.", + "trend_shape": "The trend of the curvilinear structures in the semantic map is intricate, depicting multiple branching patterns characteristic of coronary arteries; the shapes are smooth and continuous with varying widths, conveying the typical anatomy and pathway of blood vessels in the heart, including both main corridors and smaller branches." + }, + { + "image": "XCAD\\test\\annotations\\01242_29.png", + "caption": "Groundtruth semantic map depicting the vessel structure in an X-ray coronary angiography image.XCAD dataset.The semantic map is centrally located, covering a majority of the image space.The map is detailed, with varying curvilinear widths representing the coronary vessels; the exact pixel dimensions are not provided, but the map occupies most of the image.The map shows branching curvilinear structures that resemble cardiovascular vessels; the trends are diverse, with both smooth and bifurcating trajectories, mimicking the natural variation in human coronary anatomy.", + "overview": "Groundtruth semantic map depicting the vessel structure in an X-ray coronary angiography image.", + "dataset": "XCAD dataset.", + "location": "The semantic map is centrally located, covering a majority of the image space.", + "size": "The map is detailed, with varying curvilinear widths representing the coronary vessels; the exact pixel dimensions are not provided, but the map occupies most of the image.", + "trend_shape": "The map shows branching curvilinear structures that resemble cardiovascular vessels; the trends are diverse, with both smooth and bifurcating trajectories, mimicking the natural variation in human coronary anatomy." + }, + { + "image": "XCAD\\test\\annotations\\01834_33.png", + "caption": "Semantic map of X-ray coronary angiography representing the arterial structure; this image serves as a ground truth (GT) for model training.Dataset name: XCAD.The semantic map is centrally located in the image, depicting the outline of arterial vessels extending across the entirety of the image space.Size of the semantic map: exact dimensions cannot be determined from the provided data, but it occupies a significant portion of the image canvas, with the longest vessels stretching nearly the full height and width.The semantic map consists of several smooth, curvilinear structures of varying thickness, resembling the network of coronary arteries; the shapes extend from a single point of origin at the top and curve outward and downward, with bifurcations leading to finer branches that suggest the complexity of the coronary vessel system.", + "overview": "Semantic map of X-ray coronary angiography representing the arterial structure; this image serves as a ground truth (GT) for model training.", + "dataset": "Dataset name: XCAD.", + "location": "The semantic map is centrally located in the image, depicting the outline of arterial vessels extending across the entirety of the image space.", + "size": "Size of the semantic map: exact dimensions cannot be determined from the provided data, but it occupies a significant portion of the image canvas, with the longest vessels stretching nearly the full height and width.", + "trend_shape": "The semantic map consists of several smooth, curvilinear structures of varying thickness, resembling the network of coronary arteries; the shapes extend from a single point of origin at the top and curve outward and downward, with bifurcations leading to finer branches that suggest the complexity of the coronary vessel system." + }, + { + "image": "XCAD\\test\\annotations\\02884_26.png", + "caption": "Semantic map depicting the vascular structure in a high-contrast black and white format, identified as ground truth (GT) for image analysis.XCAD dataset.The semantic map displays predominantly in the central region of the image, with extensions towards the periphery.The semantic map features a complex vascular network occupying a substantial portion of the image with varying thicknesses of curvilinear structures.The trend of the semantic map shows a branching pattern reminiscent of coronary arteries with a central trunk branching into smaller arteries; the shape is intricate with smooth curves and bifurcations characteristic of arterial anatomy.", + "overview": "Semantic map depicting the vascular structure in a high-contrast black and white format, identified as ground truth (GT) for image analysis.", + "dataset": "XCAD dataset.", + "location": "The semantic map displays predominantly in the central region of the image, with extensions towards the periphery.", + "size": "The semantic map features a complex vascular network occupying a substantial portion of the image with varying thicknesses of curvilinear structures.", + "trend_shape": "The trend of the semantic map shows a branching pattern reminiscent of coronary arteries with a central trunk branching into smaller arteries; the shape is intricate with smooth curves and bifurcations characteristic of arterial anatomy." + }, + { + "image": "XCAD\\test\\annotations\\02997_29.png", + "caption": "Groundtruth semantic map of coronary arteries extracted from an X-ray angiography image; 2. XCAD dataset; 3. The semantic map is centered, occupying most of the image area; 4. Size is variable, with the map consisting of multiple curvilinear structures of varying lengths and thicknesses; 5. The trend is branching, with smoothly curving lines emanating from a central area and fanning outwards, resembling a tree-like vascular structure; the shape is intricate with primary, secondary, and tertiary branches tapering to fine capillary-like endings.", + "overview": "Groundtruth semantic map of coronary arteries extracted from an X-ray angiography image; 2. XCAD dataset; 3. The semantic map is centered, occupying most of the image area; 4. Size is variable, with the map consisting of multiple curvilinear structures of varying lengths and thicknesses; 5. The trend is branching, with smoothly curving lines emanating from a central area and fanning outwards, resembling a tree-like vascular structure; the shape is intricate with primary, secondary, and tertiary branches tapering to fine capillary-like endings." + }, + { + "image": "XCAD\\test\\annotations\\03066_27.png", + "caption": "Semantic map (GT) of coronary arteries from an X-ray coronary angiography image; 2. XCAD dataset; 3. Large, curvilinear structures centrally located within the image frame; 4. Spanning nearly the full height and width of the image, covering a majority of the image area; 5. Composed of multiple branching vessels varying in width, extending in various directions, predominantly elongated with smooth curves and bifurcations.", + "overview": "Semantic map (GT) of coronary arteries from an X-ray coronary angiography image; 2. XCAD dataset; 3. Large, curvilinear structures centrally located within the image frame; 4. Spanning nearly the full height and width of the image, covering a majority of the image area; 5. Composed of multiple branching vessels varying in width, extending in various directions, predominantly elongated with smooth curves and bifurcations." + }, + { + "image": "XCAD\\test\\annotations\\03906_20.png", + "caption": "Black-and-white semantic map representing the structure of coronary arteries, indicating that it is a ground truth (GT) for an X-ray coronary angiography image.XCAD dataset.The semantic map is centrally located within the image, covering the majority of the image area but not extending to the edges of the image frame.The exact size cannot be determined without specific image dimensions, but the semantic map occupies a significant portion of the image, suggesting a high-resolution mapping of the coronary arteries.The semantic map exhibits curvilinear structures with varying thicknesses, representing the coronary arteries; the main branch of the artery extends in a curved fashion from the left and bottom edges towards the top right, with smaller branches diverging at multiple angles and points along the structure, demonstrating a complex vascular network.", + "overview": "Black-and-white semantic map representing the structure of coronary arteries, indicating that it is a ground truth (GT) for an X-ray coronary angiography image.", + "dataset": "XCAD dataset.", + "location": "The semantic map is centrally located within the image, covering the majority of the image area but not extending to the edges of the image frame.", + "size": "The exact size cannot be determined without specific image dimensions, but the semantic map occupies a significant portion of the image, suggesting a high-resolution mapping of the coronary arteries.", + "trend_shape": "The semantic map exhibits curvilinear structures with varying thicknesses, representing the coronary arteries; the main branch of the artery extends in a curved fashion from the left and bottom edges towards the top right, with smaller branches diverging at multiple angles and points along the structure, demonstrating a complex vascular network." + }, + { + "image": "XCAD\\test\\annotations\\03920_21.png", + "caption": "Semantic map of coronary arteries delineated as white curvilinear structures against a black background; Groundtrue (GT) for X-ray coronary angiography analysis.Dataset: XCAD.The semantic map is centrally located within the image, occupying the majority of the image space while surrounded by a uniform black border.The semantic map's size is substantial relative to the image canvas, with curvilinear structures stretching across the image in both vertical and horizontal dimensions.The trend of the semantic map showcases branching patterns and interconnected lines, resembling arterial structures; The shape is complex with varying curvatures and bifurcations, indicative of a coronary artery network.", + "overview": "Semantic map of coronary arteries delineated as white curvilinear structures against a black background; Groundtrue (GT) for X-ray coronary angiography analysis.", + "dataset": "Dataset: XCAD.", + "location": "The semantic map is centrally located within the image, occupying the majority of the image space while surrounded by a uniform black border.", + "size": "The semantic map's size is substantial relative to the image canvas, with curvilinear structures stretching across the image in both vertical and horizontal dimensions.", + "trend_shape": "The trend of the semantic map showcases branching patterns and interconnected lines, resembling arterial structures; The shape is complex with varying curvatures and bifurcations, indicative of a coronary artery network." + }, + { + "image": "XCAD\\test\\annotations\\04174_22.png", + "caption": "This is a semantic map or ground truth (GT) representation of vascular structures from an X-ray coronary angiography image;The dataset is named XCAD;The semantic map is centrally located and covers the majority of the image space with clear margins from the edges;The semantic map features curvilinear structures of varying thickness, suggesting differences in vessel caliber, with the structures occupying a substantial portion of the image, suggesting a moderate to large size relative to the image canvas;The trend presents as a predominantly diagonal flow from upper right to lower left with several bifurcations and curvatures throughout, demonstrating both elongated and looping shapes characteristic of coronary vasculature.", + "overview": "This is a semantic map or ground truth (GT) representation of vascular structures from an X-ray coronary angiography image;", + "dataset": "The dataset is named XCAD;", + "location": "The semantic map is centrally located and covers the majority of the image space with clear margins from the edges;", + "size": "The semantic map features curvilinear structures of varying thickness, suggesting differences in vessel caliber, with the structures occupying a substantial portion of the image, suggesting a moderate to large size relative to the image canvas;", + "trend_shape": "The trend presents as a predominantly diagonal flow from upper right to lower left with several bifurcations and curvatures throughout, demonstrating both elongated and looping shapes characteristic of coronary vasculature." + }, + { + "image": "XCAD\\test\\annotations\\05244_37.png", + "caption": "The image depicts a black background with a white curvilinear representation, illustrating a ground truth (GT) or semantic map of coronary artery structure;The name of the dataset is XCAD;The semantic map is centrally located within the image, exhibiting the arterial network predominantly in the top-left quadrant;The size of the semantic map covers the majority of the image space, with the curvilinear structures varying in thickness from fine to moderate lines;The trend of the semantic map is complex, with multiple branching patterns that represent arterial vessels, and the shape follows anatomical curvatures resembling the coronary artery system, including principal arteries and their bifurcations.", + "overview": "The image depicts a black background with a white curvilinear representation, illustrating a ground truth (GT) or semantic map of coronary artery structure;", + "dataset": "The name of the dataset is XCAD;", + "location": "The semantic map is centrally located within the image, exhibiting the arterial network predominantly in the top-left quadrant;", + "size": "The size of the semantic map covers the majority of the image space, with the curvilinear structures varying in thickness from fine to moderate lines;", + "trend_shape": "The trend of the semantic map is complex, with multiple branching patterns that represent arterial vessels, and the shape follows anatomical curvatures resembling the coronary artery system, including principal arteries and their bifurcations." + }, + { + "image": "XCAD\\test\\annotations\\05874_12.png", + "caption": "Black background semantic map (GT) featuring white curvilinear structures representing coronary arteries.From the XCAD dataset.The semantic map is centrally located within the image, occupying the majority of the space.The semantic map is of high resolution, with fine details evident in the curvilinear structures; exact pixel dimensions are not specified.The trend of the structures is predominantly branching and bifurcating, with varying curvatures and thicknesses, mimicking the natural anatomy of coronary vessels.", + "overview": "Black background semantic map (GT) featuring white curvilinear structures representing coronary arteries.", + "dataset": "From the XCAD dataset.", + "location": "The semantic map is centrally located within the image, occupying the majority of the space.", + "size": "The semantic map is of high resolution, with fine details evident in the curvilinear structures; exact pixel dimensions are not specified.", + "trend_shape": "The trend of the structures is predominantly branching and bifurcating, with varying curvatures and thicknesses, mimicking the natural anatomy of coronary vessels." + }, + { + "image": "XCAD\\test\\annotations\\06008_42.png", + "caption": "Semantic map (GT) of X-ray coronary angiography featuring curvilinear structures indicative of vascular pathways; 2. XCAD dataset; 3. The semantic map occupies the central portion of the image, extending from the upper left towards the lower right, with branching structures varying in curvature and thickness; 4. The map's main curvilinear object spans approximately 2/3 the image's width and 1/2 its height, with branches extending outward; 5. The main trend is a gentle, sweeping curve from the upper left to lower center, with secondary branches exhibiting varied angulations and curvatures, including acute angles and smaller loops.", + "overview": "Semantic map (GT) of X-ray coronary angiography featuring curvilinear structures indicative of vascular pathways; 2. XCAD dataset; 3. The semantic map occupies the central portion of the image, extending from the upper left towards the lower right, with branching structures varying in curvature and thickness; 4. The map's main curvilinear object spans approximately 2/3 the image's width and 1/2 its height, with branches extending outward; 5. The main trend is a gentle, sweeping curve from the upper left to lower center, with secondary branches exhibiting varied angulations and curvatures, including acute angles and smaller loops." + }, + { + "image": "XCAD\\test\\annotations\\06080_31.png", + "caption": "Semantic map representing the vascular structure of a coronary artery system; a ground truth (GT) for X-ray coronary angiography analysis.XCAD dataset.The semantic map is centrally located within the image, covering most of the canvas.The map extends nearly the full width and height of the image, indicating a high spatial utilization within the given bounds.The semantic map displays a complex and intertwined network of curvilinear structures with varying thicknesses, mimicking the natural branching and curvature of arteries; prominent bifurcations and convergences are visible throughout.", + "overview": "Semantic map representing the vascular structure of a coronary artery system; a ground truth (GT) for X-ray coronary angiography analysis.", + "dataset": "XCAD dataset.", + "location": "The semantic map is centrally located within the image, covering most of the canvas.", + "size": "The map extends nearly the full width and height of the image, indicating a high spatial utilization within the given bounds.", + "trend_shape": "The semantic map displays a complex and intertwined network of curvilinear structures with varying thicknesses, mimicking the natural branching and curvature of arteries; prominent bifurcations and convergences are visible throughout." + }, + { + "image": "XCAD\\test\\annotations\\06647_29.png", + "caption": "This is a semantic map or ground truth (GT) representing the structure of coronary arteries;from the XCAD dataset;depicted as white curvilinear structures on a black background occupying the central portion of the image;the map does not fill the entire image canvas, but the exact size in pixels or relative dimensions cannot be determined without a scale reference;the semantic map shows branching structures with varying curvature, emanating from a central, thicker arterial representation that tapers into finer branches; the primary artery follows a slightly sinuous path with secondary and tertiary branches extending outward in diverse curvilinear patterns.", + "overview": "This is a semantic map or ground truth (GT) representing the structure of coronary arteries;", + "dataset": "from the XCAD dataset;", + "location": "depicted as white curvilinear structures on a black background occupying the central portion of the image;", + "size": "the map does not fill the entire image canvas, but the exact size in pixels or relative dimensions cannot be determined without a scale reference;", + "trend_shape": "the semantic map shows branching structures with varying curvature, emanating from a central, thicker arterial representation that tapers into finer branches; the primary artery follows a slightly sinuous path with secondary and tertiary branches extending outward in diverse curvilinear patterns." + }, + { + "image": "XCAD\\test\\annotations\\07358_29.png", + "caption": "This is a high-contrast semantic map of a coronary angiography, depicting the curvilinear structure of blood vessels as light lines on a dark background, denoting it as a ground truth (GT) image;The name of the dataset is XCAD;The semantic map is centrally located within the image, occupying a majority of the central field, with extensions reaching towards the periphery;The size of the semantic map is large, with the main vessels being broad and prominently featured, tapering into finer branches towards the edges;The trend of the semantic map exhibits a main arterial structure branching out into multiple smaller vessels, with a shape that resembles a tree with several bifurcations, suggesting the natural arborescence of coronary vasculature.", + "overview": "This is a high-contrast semantic map of a coronary angiography, depicting the curvilinear structure of blood vessels as light lines on a dark background, denoting it as a ground truth (GT) image;", + "dataset": "The name of the dataset is XCAD;", + "location": "The semantic map is centrally located within the image, occupying a majority of the central field, with extensions reaching towards the periphery;", + "size": "The size of the semantic map is large, with the main vessels being broad and prominently featured, tapering into finer branches towards the edges;", + "trend_shape": "The trend of the semantic map exhibits a main arterial structure branching out into multiple smaller vessels, with a shape that resembles a tree with several bifurcations, suggesting the natural arborescence of coronary vasculature." + }, + { + "image": "XCAD\\test\\annotations\\07569_21.png", + "caption": "This image is a high-contrast, binary semantic map, also known as a ground truth (GT), representing the vasculature structure as seen in X-ray coronary angiography;The image is from the XCAD dataset;The semantic map is centrally located within the image frame, occupying the majority of the canvas but not extending to the image borders;The size of the semantic map is moderate relative to the image frame, with curvilinear structures of varying thickness that suggest differential vessel diameters;The trend of the semantic map shows a branching pattern with curves and divergences typical of arterial structures, with a main trunk curving gently from the top left to the bottom right and smaller branches extending outward. The shape of the semantic map is smooth and continuous, exhibiting natural variations in curvature and branching, mimicking the typical anatomy of human coronary arteries.", + "overview": "This image is a high-contrast, binary semantic map, also known as a ground truth (GT), representing the vasculature structure as seen in X-ray coronary angiography;", + "dataset": "The image is from the XCAD dataset;", + "location": "The semantic map is centrally located within the image frame, occupying the majority of the canvas but not extending to the image borders;", + "size": "The size of the semantic map is moderate relative to the image frame, with curvilinear structures of varying thickness that suggest differential vessel diameters;", + "trend_shape": "The trend of the semantic map shows a branching pattern with curves and divergences typical of arterial structures, with a main trunk curving gently from the top left to the bottom right and smaller branches extending outward. The shape of the semantic map is smooth and continuous, exhibiting natural variations in curvature and branching, mimicking the typical anatomy of human coronary arteries." + }, + { + "image": "XCAD\\test\\annotations\\07769_24.png", + "caption": "This is a semantic map or ground truth (GT) depicting the curvilinear structures within an X-ray coronary angiography image;The image is from the XCAD dataset;The semantic map is centrally located within the image, occupying the majority of the visual field and is positioned slightly towards the left side with clear space around it;The size of the semantic map is moderate relative to the image canvas, with curvilinear structures varying in length and showing significant branching and curvature;The trend of the semantic map follows the typical anatomical layout of coronary arteries, with smooth, flowing lines that represent the vessels' paths; the shape includes both long, sweeping curves and shorter, more angular branches indicative of a coronary arterial system.", + "overview": "This is a semantic map or ground truth (GT) depicting the curvilinear structures within an X-ray coronary angiography image;", + "dataset": "The image is from the XCAD dataset;", + "location": "The semantic map is centrally located within the image, occupying the majority of the visual field and is positioned slightly towards the left side with clear space around it;", + "size": "The size of the semantic map is moderate relative to the image canvas, with curvilinear structures varying in length and showing significant branching and curvature;", + "trend_shape": "The trend of the semantic map follows the typical anatomical layout of coronary arteries, with smooth, flowing lines that represent the vessels' paths; the shape includes both long, sweeping curves and shorter, more angular branches indicative of a coronary arterial system." + }, + { + "image": "XCAD\\test\\annotations\\08797_46.png", + "caption": "Semantic map (GT) of curvilinear structures resembling coronary arteries; 2. XCAD dataset; 3. Central and upper left quadrant of the image; 4. Occupies approximately 40% of the image area; 5. Branching, tree-like curvilinear structures with variable thickness and curvature, displaying a fractal-like vascular pattern.", + "overview": "Semantic map (GT) of curvilinear structures resembling coronary arteries; 2. XCAD dataset; 3. Central and upper left quadrant of the image; 4. Occupies approximately 40% of the image area; 5. Branching, tree-like curvilinear structures with variable thickness and curvature, displaying a fractal-like vascular pattern." + }, + { + "image": "XCAD\\test\\annotations\\11357_13.png", + "caption": "A high-contrast, monochromatic semantic map representing the curvilinear structure of coronary arteries in an X-ray angiography, serving as ground truth (GT) data.Dataset name: XCAD.The semantic map is centrally located within the image, with the main structures prominently positioned and occupying the majority of the visual field.The size of the semantic map is relatively large compared to the image canvas, providing a clear and unobstructed view of the arterial paths and branches.The trend of the semantic map follows the natural curvature and branching pattern of coronary arteries; the shape is complex with multiple curves, branches, and bifurcations reminiscent of arterial anatomy, starting from a thicker curvature in the bottom right corner and tapering off into finer branches towards the top left area of the map.", + "overview": "A high-contrast, monochromatic semantic map representing the curvilinear structure of coronary arteries in an X-ray angiography, serving as ground truth (GT) data.", + "dataset": "Dataset name: XCAD.", + "location": "The semantic map is centrally located within the image, with the main structures prominently positioned and occupying the majority of the visual field.", + "size": "The size of the semantic map is relatively large compared to the image canvas, providing a clear and unobstructed view of the arterial paths and branches.", + "trend_shape": "The trend of the semantic map follows the natural curvature and branching pattern of coronary arteries; the shape is complex with multiple curves, branches, and bifurcations reminiscent of arterial anatomy, starting from a thicker curvature in the bottom right corner and tapering off into finer branches towards the top left area of the map." + }, + { + "image": "XCAD\\test\\annotations\\12241_33.png", + "caption": "This is a black and white semantic map, designated as ground truth (GT), depicting the arterial structure for training in medical image analysis;The dataset is named XCAD;The semantic map is centered in the image, occupying nearly the entire canvas, with clear space around the periphery;The size of the semantic map is large relative to the image, with its longest dimension stretching almost the full height of the image;The trend of the semantic map follows a branching tree pattern, with curvilinear and tapering shapes representing arterial pathways, varying from thick primary vessels to thin secondary and tertiary branches.", + "overview": "This is a black and white semantic map, designated as ground truth (GT), depicting the arterial structure for training in medical image analysis;", + "dataset": "The dataset is named XCAD;", + "location": "The semantic map is centered in the image, occupying nearly the entire canvas, with clear space around the periphery;", + "size": "The size of the semantic map is large relative to the image, with its longest dimension stretching almost the full height of the image;", + "trend_shape": "The trend of the semantic map follows a branching tree pattern, with curvilinear and tapering shapes representing arterial pathways, varying from thick primary vessels to thin secondary and tertiary branches." + }, + { + "image": "XCAD\\test\\annotations\\16028_20.png", + "caption": "Semantic map representing the vascular structure in a X-ray coronary angiography image, serving as ground truth (GT) for model-based research.XCAD dataset.The semantic map is centrally located within the image, occupying most of the area with clear boundaries against the black background.The map size is not specified in absolute terms, but it appears to fill the majority of the image frame, with the main vessel structure centralized and branches extending towards the periphery.The map depicts a complex network of curvilinear structures with varying thickness; the primary vessel trends from the top left to bottom right, with secondary and tertiary branches radiating outward, showing bifurcations and curves representative of coronary artery anatomy.", + "overview": "Semantic map representing the vascular structure in a X-ray coronary angiography image, serving as ground truth (GT) for model-based research.", + "dataset": "XCAD dataset.", + "location": "The semantic map is centrally located within the image, occupying most of the area with clear boundaries against the black background.", + "size": "The map size is not specified in absolute terms, but it appears to fill the majority of the image frame, with the main vessel structure centralized and branches extending towards the periphery.", + "trend_shape": "The map depicts a complex network of curvilinear structures with varying thickness; the primary vessel trends from the top left to bottom right, with secondary and tertiary branches radiating outward, showing bifurcations and curves representative of coronary artery anatomy." + }, + { + "image": "XCAD\\test\\annotations\\16280_32.png", + "caption": "This image presents a high-contrast, black and white semantic map or ground truth (GT) representation of vascular structures from an X-ray coronary angiography;The data originates from the XCAD dataset;The semantic map is centered and occupies the majority of the image canvas, with clear space around the periphery;The map spans across the full height and a substantial portion of the width of the image, suggesting a large size relative to the image frame;The map features several long, curvilinear structures that branch off from a central trunk, exhibiting a tree-like pattern with varying thickness, curvatures, and bifurcations that mimic real vascular networks.", + "overview": "This image presents a high-contrast, black and white semantic map or ground truth (GT) representation of vascular structures from an X-ray coronary angiography;", + "dataset": "The data originates from the XCAD dataset;", + "location": "The semantic map is centered and occupies the majority of the image canvas, with clear space around the periphery;", + "size": "The map spans across the full height and a substantial portion of the width of the image, suggesting a large size relative to the image frame;", + "trend_shape": "The map features several long, curvilinear structures that branch off from a central trunk, exhibiting a tree-like pattern with varying thickness, curvatures, and bifurcations that mimic real vascular networks." + }, + { + "image": "XCAD\\test\\annotations\\16291_31.png", + "caption": "The image presents a semantic map or groundtruth (GT) representation of coronary arteries;From the XCAD dataset;The semantic map is centered and occupies the majority of the image frame;The size of the semantic map is large, spanning the width and height of the image while maintaining a clear and distinguishable outline of the coronary arteries;The trend of the semantic map follows the natural branching and curving pattern of the coronary artery system, with smooth, flowing lines that taper and branch off, illustrating both major arterial paths and finer branches. The shape is complex, with multiple curvilinear trajectories that interconnect and bifurcate, reminiscent of a branching tree structure.", + "overview": "The image presents a semantic map or groundtruth (GT) representation of coronary arteries;", + "dataset": "From the XCAD dataset;", + "location": "The semantic map is centered and occupies the majority of the image frame;", + "size": "The size of the semantic map is large, spanning the width and height of the image while maintaining a clear and distinguishable outline of the coronary arteries;", + "trend_shape": "The trend of the semantic map follows the natural branching and curving pattern of the coronary artery system, with smooth, flowing lines that taper and branch off, illustrating both major arterial paths and finer branches. The shape is complex, with multiple curvilinear trajectories that interconnect and bifurcate, reminiscent of a branching tree structure." + }, + { + "image": "XCAD\\test\\annotations\\17543_38.png", + "caption": "This image is a high-contrast semantic map (GT) of an X-ray coronary angiography, depicting a network of coronary arteries in white against a black background.The dataset is known as the XCAD dataset.The semantic map is centrally located within the image, occupying the majority of the image area while maintaining a slight margin from the edges.The size of the semantic map is large relative to the image frame, showcasing an intricate network of vessels varying in width, extending from the top left to the bottom right quadrant.The trend of the semantic map is predominantly vertical with branching patterns that radiate outward and downward; the shape features curvilinear forms that depict arterial branches with smoothly varying contours and bifurcations, as well as tapering terminations.", + "overview": "This image is a high-contrast semantic map (GT) of an X-ray coronary angiography, depicting a network of coronary arteries in white against a black background.", + "dataset": "The dataset is known as the XCAD dataset.", + "location": "The semantic map is centrally located within the image, occupying the majority of the image area while maintaining a slight margin from the edges.", + "size": "The size of the semantic map is large relative to the image frame, showcasing an intricate network of vessels varying in width, extending from the top left to the bottom right quadrant.", + "trend_shape": "The trend of the semantic map is predominantly vertical with branching patterns that radiate outward and downward; the shape features curvilinear forms that depict arterial branches with smoothly varying contours and bifurcations, as well as tapering terminations." + }, + { + "image": "XCAD\\test\\annotations\\17817_17.png", + "caption": "This image depicts a black-and-white semantic map, representing a ground truth (GT) outline of curvilinear structures from an x-ray coronary angiography;The name of the dataset is the XCAD dataset;The semantic map is centrally located within the bounds of the image, occupying the majority of the visual field without touching the edges;The size of the semantic map spans nearly the entire height of the image with varied widths along the curves, suggesting a full-scale representation within the image dimensions;The trend of the semantic map showcases a complex network of curving lines that taper and branch, illustrating the arterial structure with smooth, elongated shapes that converge and diverge in a biomorphic pattern.", + "overview": "This image depicts a black-and-white semantic map, representing a ground truth (GT) outline of curvilinear structures from an x-ray coronary angiography;", + "dataset": "The name of the dataset is the XCAD dataset;", + "location": "The semantic map is centrally located within the bounds of the image, occupying the majority of the visual field without touching the edges;", + "size": "The size of the semantic map spans nearly the entire height of the image with varied widths along the curves, suggesting a full-scale representation within the image dimensions;", + "trend_shape": "The trend of the semantic map showcases a complex network of curving lines that taper and branch, illustrating the arterial structure with smooth, elongated shapes that converge and diverge in a biomorphic pattern." + }, + { + "image": "XCAD\\test\\annotations\\17860_31.png", + "caption": "This is a black and white semantic map of X-ray coronary angiography, representing the ground truth (GT) of vessel structures.The dataset is the XCAD dataset.The semantic map is centrally positioned, covering the majority of the image.The size of the semantic map appears to occupy approximately 70-80% of the entire image frame, with the vessel structures varying in thickness.The trend of the semantic map includes a prominent main vessel structure extending vertically with multiple branching vessels; the shape of the vessels is curvilinear, with smooth, serpentine contours and bifurcations.", + "overview": "This is a black and white semantic map of X-ray coronary angiography, representing the ground truth (GT) of vessel structures.", + "dataset": "The dataset is the XCAD dataset.", + "location": "The semantic map is centrally positioned, covering the majority of the image.", + "size": "The size of the semantic map appears to occupy approximately 70-80% of the entire image frame, with the vessel structures varying in thickness.", + "trend_shape": "The trend of the semantic map includes a prominent main vessel structure extending vertically with multiple branching vessels; the shape of the vessels is curvilinear, with smooth, serpentine contours and bifurcations." + }, + { + "image": "XCAD\\test\\annotations\\18323_20.png", + "caption": "This is a high-contrast, binary semantic map or groundtruth (GT) representation of coronary arteries extracted from an X-ray angiography image.The dataset is known as XCAD.The semantic map is centrally located within the image, with a black background surrounding it.The size of the semantic map is not specified in absolute terms, as pixel dimensions are not provided, but it fills a significant portion of the image frame.The trend of the semantic map is a set of branching, curvilinear structures that depict the coronary arterial tree; the shape is complex with multiple bifurcations and varying curvatures, representing realistic coronary artery anatomy with both major vessels and finer branches.", + "overview": "This is a high-contrast, binary semantic map or groundtruth (GT) representation of coronary arteries extracted from an X-ray angiography image.", + "dataset": "The dataset is known as XCAD.", + "location": "The semantic map is centrally located within the image, with a black background surrounding it.", + "size": "The size of the semantic map is not specified in absolute terms, as pixel dimensions are not provided, but it fills a significant portion of the image frame.", + "trend_shape": "The trend of the semantic map is a set of branching, curvilinear structures that depict the coronary arterial tree; the shape is complex with multiple bifurcations and varying curvatures, representing realistic coronary artery anatomy with both major vessels and finer branches." + }, + { + "image": "XCAD\\test\\annotations\\18650_42.png", + "caption": "Semantic map (Ground Truth) representing the arterial structures in an X-ray coronary angiography image.XCAD Dataset.The semantic map is centrally located within the image, predominantly in the middle and extending towards the lower-right quadrant.The size of the semantic map varies, with varying width of curvilinear structures; some segments are thicker, representing larger vessels, while others taper to fine lines, depicting smaller branches.Trends show a branching pattern characteristic of coronary arteries, with curvatures and bifurcations; shape is elongated with multiple linear and curved segments representing arterial courses.", + "overview": "Semantic map (Ground Truth) representing the arterial structures in an X-ray coronary angiography image.", + "dataset": "XCAD Dataset.", + "location": "The semantic map is centrally located within the image, predominantly in the middle and extending towards the lower-right quadrant.", + "size": "The size of the semantic map varies, with varying width of curvilinear structures; some segments are thicker, representing larger vessels, while others taper to fine lines, depicting smaller branches.", + "trend_shape": "Trends show a branching pattern characteristic of coronary arteries, with curvatures and bifurcations; shape is elongated with multiple linear and curved segments representing arterial courses." + } +] \ No newline at end of file diff --git a/dataset_curvilinear/unprocessed_json/crack.json b/dataset_curvilinear/unprocessed_json/crack.json new file mode 100644 index 0000000000000000000000000000000000000000..33328ec741620931a95a5ee3ade9325bdc8a6079 --- /dev/null +++ b/dataset_curvilinear/unprocessed_json/crack.json @@ -0,0 +1,2842 @@ +[ + { + "image": "training\\images\\10.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement; 2. Crack500; 3. The crack is located in the middle of the image; 4. The crack is approximately 1.5 inches wide; 5. The crack is linear with a slight curve to the right; 6. The background is a close-up of asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\100.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches wide.\n5. The crack is linear and runs horizontally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\101.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long and 1/4 inch wide.\n5. The crack is a sealed, longitudinal crack with a slight curve to the right.\n6. The background is a grey asphalt road." + }, + { + "image": "training\\images\\103.jpg", + "caption": " 1. This is an image of a crack in an asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 10 inches long and 0.25 inches wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background is a close-up of an asphalt pavement with small pebbles and some small cracks." + }, + { + "image": "training\\images\\104.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\106.jpg", + "caption": " 1. This is an image of a crack in asphalt.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is approximately 10 inches long and 1/4 inch wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background is asphalt with small pebbles." + }, + { + "image": "training\\images\\107.jpg", + "caption": " 1. This is an image of a crack on an asphalt road surface.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 10 inches long and 0.5 inches wide.\n5. The crack is a thin, meandering ing line that runs horizontally across the image.\n6. The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "training\\images\\108.jpg", + "caption": " 1. A close-up image of a single crack on an asphalt road surface.\n2. Crack500.\n3. The crack is located in the middle of the image, running horizontally.\n4. The crack is approximately 1.5 inches wide and 10 inches long.\n5. The crack is jagged and has a zig-zag pattern.\n6. The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "training\\images\\11.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\110.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the center of the image.\n4. The crack is about 3 inches long.\n5. The crack is a three-way T-shaped crack with two near-perpendicular cracks branching from the bottom of a vertical crack.\n6. The background is a close-up of a grey asphalt road surface with small pebbles." + }, + { + "image": "training\\images\\112.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.; 2. Crack500; 3. The crack is located in the middle of the image; 4. The crack is about 1.5 inches wide and 10 inches long; 5. The crack is linear and runs diagonally from the top left corner of the image to the bottom right corner; 6. The background is asphalt pavement." + }, + { + "image": "training\\images\\114.jpg", + "caption": " 1. This is an image of a crack on an asphalt pavement surface.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches long.\n5. The crack is a thin, linear feature with a slightly winding path.\n6. The background of the image is a close-up of an asphalt pavement surface." + }, + { + "image": "training\\images\\117.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background of the image is a grey asphalt pavement." + }, + { + "image": "training\\images\\118.jpg", + "caption": " 1. A close-up image of a crack in an asphalt pavement; 2. Crack500; 3. The crack is located in the middle of the image; 4. The crack is approximately 1.5 inches wide and 12 inches long; 5. The crack is linear and runs diagonally from the top left corner of the image to the bottom right corner; 6. The background of the image is a close-up of an asphalt pavement with small pebbles and some small dark stains." + }, + { + "image": "training\\images\\119.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long and 0.5 inches wide.\n5. The crack is a winding and twisting, with several sharp turns. The crack is also relatively wide, and the edges are jagged.\n6. The background of the image is a grey asphalt road." + }, + { + "image": "training\\images\\12.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a semi-circular shape and is relatively wide.\n6. The background of the image is a close-up of an asphalt pavement surface." + }, + { + "image": "training\\images\\124.jpg", + "caption": " 1. This is an image of a crack in an asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches wide.\n5. The crack is linear and runs diagonally across the image.\n6. The background of the image is asphalt pavement." + }, + { + "image": "training\\images\\125.jpg", + "caption": " 1. This is an image of a crack on an asphalt road surface.\n2. Crack500\n3. The crack is located in the middle of the image, running horizontally.\n4. The crack is approximately 1.5 inches wide and 10 inches long.\n5. The crack is a thin, jagged line that runs horizontally across the image. The crack is relatively straight, with a few small deviations.\n6. The background of the image is a close-up of an asphalt road surface. The asphalt is black and has a rough texture." + }, + { + "image": "training\\images\\126.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 30 cm long and 1 cm wide.\n5. The crack is a straight line, and it is oriented vertically.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\127.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background of the image is a grey asphalt pavement." + }, + { + "image": "training\\images\\129.jpg", + "caption": " 1. A close-up image of a crack in asphalt.\n2. Crack500.\n3. The crack is in the center of the image.\n4. The crack is approximately 1.5 inches long.\n5. The crack is vertical and straight.\n6. The background is grey asphalt." + }, + { + "image": "training\\images\\13.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 2 mm wide.\n5. The crack is a jagged line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\130.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, winding and twisting crack, with a slight curve to the right.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\131.jpg", + "caption": " 1. This is an image of a crack on an asphalt road surface.\n2. Crack500\n3. The crack is located in the middle of the image and runs horizontally.\n4. The crack is approximately 10 inches long and 1/4 inch wide.\n5. The crack is relatively straight with a slight curve to the right in the middle. The crack is a dark, thin line with jagged edges.\n6. The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "training\\images\\132.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm in length.\n5. The crack is a thin, curved line. It is oriented diagonally from the top left corner of the image to the bottom right corner.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\133.jpg", + "caption": " 1. This is an image of a crack on an asphalt road surface.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches wide.\n5. The crack is linear and has a slight zigzag shape.\n6. The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "training\\images\\134.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the center of the image.\n4. The crack is approximately 1/4 inch wide and 6 inches long.\n5. The crack is linear and runs diagonally from the top left corner of the image to the bottom right corner.\n6. The background of the image is asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\136.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long and 1/4 inch wide.\n5. The crack is a jagged line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\137.jpg", + "caption": " 1. This is an image of a crack in asphalt.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches wide.\n5. The crack is linear and runs horizontally across the image.\n6. The background is asphalt with small pebbles." + }, + { + "image": "training\\images\\139.jpg", + "caption": " 1. A close-up image of a single crack on an asphalt road surface.\n2. Crack500.\n3. The crack is located in the center of the image.\n4. The crack is approximately 10 inches long and 0.25 inches wide.\n5. The crack is linear and oriented vertically.\n6. The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "training\\images\\14.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 3 inches long.\n5. The crack is a thin, jagged line that runs diagonally across the image.\n6. The background of the image is a close-up of asphalt pavement." + }, + { + "image": "training\\images\\141.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 10 inches long and 0.5 inches wide.\n5. The crack is a sealed crack with a slight curve.\n6. The background is a close-up of asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\142.jpg", + "caption": " 1. This is an image of a crack on an asphalt road surface.\n2. Crack500\n3. The crack is located in the center of the image.\n4. The crack is approximately 1.5 inches wide and 10 inches long.\n5. The crack is linear and has a slight curve to the right.\n6. The background is a close-up of an asphalt road surface." + }, + { + "image": "training\\images\\143.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background of the image is a grey asphalt pavement." + }, + { + "image": "training\\images\\145.jpg", + "caption": " 1. This is an image of a crack in an asphalt pavement; 2. Crack500; 3. The crack is located in the middle of the image; 4. The crack is about 1.5 inches wide and 10 inches long; 5. The crack is vertical and has a slight curve to the right; 6. The background of the image is a close-up of an asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\146.jpg", + "caption": " 1. A close-up image of a crack in an asphalt pavement.\n2. Crack500.\n3. The crack is located in the center of the image.\n4. The crack is approximately 1.5 inches wide.\n5. The crack is linear and runs vertically down the image.\n6. The background of the image is a close-up of an asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\147.jpg", + "caption": " 1. A close-up image of a crack in asphalt.\n2. Crack500.\n3. The crack is located in the center of the image.\n4. The crack is approximately 1/4 inch wide and 12 inches long.\n5. The crack is linear and runs vertically down the center of the image.\n6. The background is grey asphalt with small pebbles." + }, + { + "image": "training\\images\\148.jpg", + "caption": " 1. This is an image of a crack on an asphalt road surface.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches wide.\n5. The crack is a single, continuous crack that runs horizontally across the image.\n6. The background of the image is a close-up of the asphalt road surface." + }, + { + "image": "training\\images\\15.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 30 cm long and 1 cm wide.\n5. The crack is a winding and twisting, with a few sharp turns. The crack is also relatively wide, and the edges are jagged.\n6. The background of the image is a close-up of a grey asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\150.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\151.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image and is oriented horizontally.\n4. The crack is approximately 1.5 inches long and 0.25 inches wide.\n5. The crack is jagged and has a rough surface.\n6. The background of the image is grey and consists of small rocks and pebbles." + }, + { + "image": "training\\images\\152.jpg", + "caption": " 1. This is an image of a concrete pavement with a large crack running through it; 2. Crack500; 3. The crack is located in the center of the image; 4. The crack is approximately 10 inches long and 1/4 inch wide; 5. The crack is linear and runs diagonally from the top left corner of the image to the bottom right corner; 6. The background is a grey concrete pavement with small pebbles." + }, + { + "image": "training\\images\\153.jpg", + "caption": " 1. This is an image of a crack on an asphalt road surface.\n2. Crack500\n3. The crack is located in the middle of the image, running horizontally.\n4. The crack is approximately 10 inches long and 0.25 inches wide.\n5. The crack is a straight line with a slight curve to the right in the middle.\n6. The background of the image is a close-up of an asphalt road surface with small pebbles and some small cracks." + }, + { + "image": "training\\images\\155.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, vertical line that is jagged in some areas and straight in others.\n6. The background is a grey, concrete surface." + }, + { + "image": "training\\images\\156.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches wide.\n5. The crack is linear and runs diagonally from the top left corner of the image to the bottom right corner.\n6. The background of the image is grey asphalt pavement." + }, + { + "image": "training\\images\\157.jpg", + "caption": " 1. A close-up image of a crack on an asphalt road surface.\n2. Crack500.\n3. The crack is located in the center of the image.\n4. The crack is approximately 1.5 inches long and 0.25 inches wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "training\\images\\158.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 30 cm long and 1 cm wide.\n5. The crack is a straight line with a slight curve to the right.\n6. The background of the image is a grey asphalt pavement." + }, + { + "image": "training\\images\\159.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 10 inches long and 0.25 inches wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background of the image is grey asphalt pavement." + }, + { + "image": "training\\images\\16.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement; 2. Crack500; 3. The crack is located in the middle of the image; 4. The crack is about 1.5 inches long; 5. The crack is a thin, nearly straight line that is oriented horizontally across the image. There is a small branch stemming from the main crack near the center of the image; 6. The background of the image is grey asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\160.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches wide.\n5. The crack is linear and runs diagonally from the top left corner of the image to the bottom right corner.\n6. The background is asphalt pavement." + }, + { + "image": "training\\images\\161.jpg", + "caption": " 1. A close-up image of a crack in an asphalt pavement; 2. Crack500; 3. The crack is located in the middle of the image; 4. The crack is approximately 1.5 inches long; 5. The crack is a thin, linear feature that is oriented diagonally across the image. The crack has a slight curve to the right; 6. The background of the image is a close-up of an asphalt pavement, with small pebbles and stones visible in the surface." + }, + { + "image": "training\\images\\162.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long.\n5. The crack is a thin, curved line that runs from the top left corner of the image to the bottom right corner.\n6. The background of the image is a grey asphalt road." + }, + { + "image": "training\\images\\163.jpg", + "caption": " 1. A close-up image of a crack in an asphalt pavement; 2. Crack500; 3. The crack is located in the middle of the image; 4. The crack is approximately 1.5 inches wide at its widest point and 10 inches long; 5. The crack is jagged and has a zigzag pattern; 6. The background of the image is a close-up of an asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\164.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 20 cm long and 2 mm wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background is a close-up of a grey asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\165.jpg", + "caption": " 1. This is an image of a crack in asphalt.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long and 1/4 inch wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background is asphalt with small pebbles." + }, + { + "image": "training\\images\\166.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 2 mm wide.\n5. The crack is a thin, winding and twisting crack, with some small branches.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\167.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long.\n5. The crack is a winding and twisting, with a few sharp turns.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\169.jpg", + "caption": " 1. This is an image of a crack in asphalt.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 10 inches long.\n5. The crack is a horizontal, jagged line.\n6. The background is grey asphalt." + }, + { + "image": "training\\images\\170.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 12 inches long and 2 inches wide.\n5. The crack is a branched crack with a butterfly shape.\n6. The background is a close-up of an asphalt road surface." + }, + { + "image": "training\\images\\171.jpg", + "caption": " 1. A close-up image of a crack in a concrete pavement.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 1/8 inch wide and 2 inches long.\n5. The crack is straight and runs vertically down the image.\n6. The background of the image is a close-up of a concrete pavement with small pebbles." + }, + { + "image": "training\\images\\172.jpg", + "caption": " 1. A close-up image of a crack on an asphalt road surface.; 2. Crack500; 3. The crack is located in the center of the image.; 4. The crack is approximately 1.5 inches wide and 12 inches long.; 5. The crack is linear and runs diagonally from the top left corner of the image to the bottom right corner.; 6. The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "training\\images\\173.jpg", + "caption": " 1. This is an image of a crack in asphalt.\n2. Crack500\n3. The crack is located in the middle of the image, running from the bottom left corner to the top right corner.\n4. The crack is approximately 1.5 inches wide at its widest point and 10 inches long.\n5. The crack is a single, continuous crack with a slight curve to the right. The edges of the crack are jagged and uneven.\n6. The background of the image is grey asphalt with small pebbles." + }, + { + "image": "training\\images\\174.jpg", + "caption": " 1. A close-up image of a crack on an asphalt road surface.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches wide.\n5. The crack is linear and runs horizontally across the image.\n6. The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "training\\images\\175.jpg", + "caption": " 1. This is an image of a yellow line on an asphalt road. The yellow line is painted on the asphalt road. There is a crack that goes through the yellow line and the asphalt road.\n2. Crack500\n3. The crack is in the middle of the image.\n4. The crack is about 10 inches long.\n5. The crack is a straight line.\n6. The background is an asphalt road." + }, + { + "image": "training\\images\\178.jpg", + "caption": " 1. This is an image of a crack in an asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches wide.\n5. The crack is linear and runs horizontally across the image.\n6. The background of the image is a close-up of an asphalt pavement." + }, + { + "image": "training\\images\\179.jpg", + "caption": " 1. This is an image of a crack on an asphalt road surface.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 30 cm long and 1 cm wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "training\\images\\18.jpg", + "caption": " 1. This is an image of a crack on an asphalt road surface.\n2. Crack500\n3. The crack is located in the middle of the image, running horizontally.\n4. The crack is approximately 1.5 inches long and 0.25 inches wide.\n5. The crack is a thin, jagged line that runs in a straight line across the image.\n6. The background is a close-up of an asphalt road surface with small pebbles and some small debris." + }, + { + "image": "training\\images\\181.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\182.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 2 mm wide.\n5. The crack is a diagonal line and has a rough surface.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\183.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 20 cm long and 1 cm wide.\n5. The crack is a winding and twisting, with several sharp turns. The crack is also relatively wide, and the edges of the crack are jagged.\n6. The background of the image is asphalt pavement." + }, + { + "image": "training\\images\\184.jpg", + "caption": " 1. This is a close-up image of a single crack on an asphalt road surface.\n2. Crack500\n3. The crack is located in the middle of the image, running horizontally from left to right.\n4. The crack is approximately 10 inches long and 1/4 inch wide.\n5. The crack is fairly straight with some minor jagged edges. The crack is open and there is no vegetation growing in it.\n6. The background of the image is the asphalt road surface, which is dark gray in color and has a rough texture." + }, + { + "image": "training\\images\\185.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background of the image is a grey asphalt pavement." + }, + { + "image": "training\\images\\186.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 3 inches long.\n5. The crack is a V-shaped crack that is trending diagonally across the pavement.\n6. The background of the image is a close-up of a grey asphalt pavement surface with small pebbles." + }, + { + "image": "training\\images\\188.jpg", + "caption": " 1. This is an image of a crack on an asphalt pavement surface.; 2. Crack500; 3. The crack is located in the middle of the image; 4. The crack is approximately 1.5 inches wide and 10 inches long; 5. The crack is linear with a slight curve to the right. The crack is also relatively straight and continuous with no major deviations or branches.; 6. The background of the image is a close-up of an asphalt pavement surface with small pebbles and some small cracks." + }, + { + "image": "training\\images\\19.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches wide.\n5. The crack is a thin, winding and twisting, with some small branches.\n6. The background of the image is grey asphalt pavement." + }, + { + "image": "training\\images\\190.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 2 mm wide.\n5. The crack is a thin, linear feature with a rough surface. It is oriented diagonally from the top left corner to the bottom right corner of the image.\n6. The background is a grey asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\191.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\192.jpg", + "caption": " 1. This is an image of a crack in asphalt.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 1/4 inch wide and 10 inches long.\n5. The crack is jagged and has a zig-zag pattern, and it is filled with some grass.\n6. The background of the image is grey asphalt with small pebbles." + }, + { + "image": "training\\images\\194.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 1 cm wide.\n5. The crack is a straight line with a slight curve at the bottom.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\195.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 20 cm long and 1 cm wide.\n5. The crack is a straight line with a slight curve at the end.\n6. The background is a close-up of a pavement surface." + }, + { + "image": "training\\images\\198.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 20 centimeters long.\n5. The crack is a thin, straight line that runs horizontally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\199.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches wide.\n5. The crack is linear and runs horizontally across the image.\n6. The background is a close-up of asphalt pavement." + }, + { + "image": "training\\images\\2.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.; 2. Crack500; 3. The crack is located in the middle of the image; 4. The crack is about 1.5 inches wide and 10 inches long; 5. The crack is a thin, winding and twisting crack, with some small pieces of asphalt missing from the edges; 6. The background of the image is a grey asphalt pavement." + }, + { + "image": "training\\images\\20.jpg", + "caption": " 1. This is a close-up image of a crack on an asphalt road surface.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches wide and 12 inches long.\n5. The crack is linear and has a slight curve to the right. The crack is relatively straight with some minor jagged edges.\n6. The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "training\\images\\200.jpg", + "caption": " 1. A close-up image of a crack in asphalt pavement.\n2. Crack500.\n3. The crack is located in the center of the image.\n4. The crack is approximately 10 inches long and 0.25 inches wide.\n5. The crack is linear and runs diagonally from the top left corner of the image to the bottom right corner.\n6. The background of the image is grey asphalt pavement." + }, + { + "image": "training\\images\\201.jpg", + "caption": " 1. This is an image of a crack on an asphalt pavement surface.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches wide.\n5. The crack is a thin, jagged line that runs horizontally across the image.\n6. The background of the image is a close-up of an asphalt pavement surface." + }, + { + "image": "training\\images\\202.jpg", + "caption": " 1. A close-up image of a crack in asphalt; 2. Crack500; 3. The crack is located in the middle of the image; 4. The crack is about 20 cm long and 1 cm wide; 5. The crack is linear and runs diagonally from the top left corner to the bottom right corner of the image; 6. The background of the image is grey asphalt with small pebbles." + }, + { + "image": "training\\images\\203.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 5 inches long.\n5. The crack is a thin, vertical line that is jagged in shape.\n6. The background of the image is a grey asphalt road." + }, + { + "image": "training\\images\\205.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches long.\n5. The crack is linear and has a slight curve to the right.\n6. The background is a grey concrete slab." + }, + { + "image": "training\\images\\206.jpg", + "caption": " 1. A close-up image of a concrete pavement with a crack running diagonally from the bottom left corner to the top right corner.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches wide.\n5. The crack is fairly straight with a slight curve to the right in the middle.\n6. The background of the image is a close-up of a concrete pavement with small pebbles embedded in it." + }, + { + "image": "training\\images\\207.jpg", + "caption": " 1. This is an image of a crack on an asphalt road surface.\n2. Crack500\n3. The crack is located in the middle of the image, running horizontally.\n4. The crack is approximately 1.5 inches wide and 10 inches long.\n5. The crack is a straight line with a slight curve to the right.\n6. The background of the image is a close-up of the asphalt road surface, with small pebbles and cracks visible." + }, + { + "image": "training\\images\\208.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long.\n5. The crack is a jagged line that runs horizontally across the image.\n6. The background of the image is a grey asphalt road." + }, + { + "image": "training\\images\\209.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 3 inches long.\n5. The crack is a thin, vertical line that is jagged in shape.\n6. The background of the image is a grey asphalt pavement." + }, + { + "image": "training\\images\\210.jpg", + "caption": " 1. A close-up image of a crack in an asphalt pavement.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches long.\n5. The crack is a thin, linear feature with a slightly meandering path.\n6. The background of the image is a close-up of an asphalt pavement surface." + }, + { + "image": "training\\images\\211.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, curved line. It is oriented diagonally from the top left corner to the bottom right corner of the image.\n6. The background of the image is a grey asphalt pavement." + }, + { + "image": "training\\images\\212.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, winding and twisting crack, with some small branches.\n6. The background of the image is a grey asphalt pavement." + }, + { + "image": "training\\images\\213.jpg", + "caption": " 1. A close-up image of a crack in an asphalt pavement.\n2. Crack500.\n3. The crack is located in the middle of the image and runs horizontally.\n4. The crack is approximately 1.5 inches long and 0.25 inches wide.\n5. The crack is relatively straight with some minor jagged edges.\n6. The background of the image is a close-up of an asphalt pavement with small pebbles and some small cracks." + }, + { + "image": "training\\images\\214.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background of the image is a grey asphalt pavement." + }, + { + "image": "training\\images\\216.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background is a close-up of asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\217.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, straight line. It has a slight curve to the right.\n6. The background is a grey asphalt road." + }, + { + "image": "training\\images\\219.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\22.jpg", + "caption": " 1. This is an image of a crack in an asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long and 1/4 inch wide.\n5. The crack is jagged and has a zig-zag pattern.\n6. The background of the image is gray asphalt pavement." + }, + { + "image": "training\\images\\220.jpg", + "caption": " 1. This is an image of a crack on an asphalt road surface.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 30 cm long and 1 cm wide.\n5. The crack is linear and has a slight curve to the right. The crack is also relatively straight and has a uniform width throughout its length.\n6. The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "training\\images\\221.jpg", + "caption": " 1. This is an image of a crack on an asphalt pavement surface.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches wide.\n5. The crack is linear and runs horizontally across the image.\n6. The background of the image is gray asphalt pavement." + }, + { + "image": "training\\images\\222.jpg", + "caption": " 1. This is an image of a crack on an asphalt road surface.\n2. Crack500\n3. The crack is located in the middle of the image, running horizontally.\n4. The crack is approximately 1.5 inches wide and 10 inches long.\n5. The crack is a sealed crack with a serpentine shape and an average trend of 15 degrees.\n6. The background of the image is a close-up of an asphalt road surface with small pebbles and some small cracks." + }, + { + "image": "training\\images\\223.jpg", + "caption": " 1. This is an image of a crack on an asphalt road surface.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 10 inches long and 0.25 inches wide.\n5. The crack is linear with some jagged edges, and it runs horizontally across the image.\n6. The background of the image is a close-up of an asphalt road surface with small pebbles and some small cracks." + }, + { + "image": "training\\images\\224.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, winding and twisting crack, with a slight curve to the right.\n6. The background of the image is a grey asphalt pavement." + }, + { + "image": "training\\images\\226.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\227.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 10 inches long.\n5. The crack is a thin, linear feature with a rough surface. It is oriented horizontally across the image.\n6. The background of the image is a grey asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\229.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 1 cm wide.\n5. The crack is a jagged line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\230.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long and 1/4 inch wide.\n5. The crack is a winding and twisting, with several sharp turns. It is also relatively wide, and the edges are jagged.\n6. The background is a close-up of a grey asphalt road surface with small pebbles." + }, + { + "image": "training\\images\\231.jpg", + "caption": " 1. This is an image of a crack on an asphalt road surface.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "training\\images\\232.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.; 2. Crack500; 3. The crack is located in the middle of the image; 4. The crack is approximately 1.5 inches wide; 5. The crack is linear and runs horizontally across the image; 6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\233.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches long.\n5. The crack is a thin, winding and twisting crack, with a slight curve to the right.\n6. The background of the image is a grey asphalt pavement." + }, + { + "image": "training\\images\\234.jpg", + "caption": " 1. This is an image of a crack in an asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 1 mm wide.\n5. The crack is a thin, linear feature with a rough surface. It is oriented at a 45-degree angle to the horizontal.\n6. The background is a uniform, gray asphalt pavement." + }, + { + "image": "training\\images\\236.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long and 1/4 inch wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background is asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\237.jpg", + "caption": " 1. This is an image of a crack on an asphalt pavement surface.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches long and 0.25 inches wide.\n5. The crack is linear and has a slight zigzag shape.\n6. The background of the image is a close-up of an asphalt pavement surface." + }, + { + "image": "training\\images\\24.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 1 cm wide.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\241.jpg", + "caption": " 1. A close-up image of a crack in an asphalt pavement; 2. Crack500; 3. The crack is located in the center of the image; 4. The crack is approximately 1.5 inches long and 0.25 inches wide; 5. The crack is linear and runs vertically down the center of the image; 6. The background of the image is a close-up of an asphalt pavement with small pebbles and is out of focus." + }, + { + "image": "training\\images\\243.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement; 2. Crack500; 3. The crack is located in the middle of the image; 4. The crack is about 1.5 inches wide; 5. The crack is linear with a slight curve towards the top and is oriented at approximately 45 degrees to the horizontal; 6. The background is a grey asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\244.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 1 cm wide.\n5. The crack is a curved line that runs horizontally across the image. The crack has a serpentine shape.\n6. The background is a close-up of a grey asphalt road surface with small pebbles." + }, + { + "image": "training\\images\\245.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background is a grey, pebbled asphalt road surface." + }, + { + "image": "training\\images\\246.jpg", + "caption": " 1. This is an image of a crack in asphalt.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches wide.\n5. The crack is linear and runs diagonally across the image.\n6. The background of the image is grey asphalt." + }, + { + "image": "training\\images\\247.jpg", + "caption": " 1. This is an image of a crack on an asphalt road surface.\n2. Crack500\n3. The crack is located in the middle of the image, running horizontally.\n4. The crack is approximately 1.5 inches long and 0.25 inches wide.\n5. The crack is a thin, jagged line that runs horizontally across the image.\n6. The background of the image is a close-up of an asphalt road surface with small pebbles and some larger rocks embedded in it." + }, + { + "image": "training\\images\\248.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\25.jpg", + "caption": " 1. This is an image of a crack on an asphalt road surface.\n2. Crack500.\n3. The crack is located in the middle of the image, running horizontally.\n4. The crack is approximately 10 inches long and 1/4 inch wide.\n5. The crack is a thin, straight line that runs horizontally across the image.\n6. The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "training\\images\\250.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long.\n5. The crack is a curving line that is wider in the middle and narrower at the ends.\n6. The background is a grey asphalt road." + }, + { + "image": "training\\images\\251.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long.\n5. The crack is zigzag-shaped and has a slight downward trend.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\252.jpg", + "caption": " 1. The image shows a close-up of a crack in an asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image and runs horizontally.\n4. The crack is approximately 10 inches long and 1/4 inch wide.\n5. The crack has a serpentine shape and is slightly curved.\n6. The background of the image is a close-up of an asphalt pavement with small pebbles and some small pieces of debris." + }, + { + "image": "training\\images\\253.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 3 inches long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background is a grey, pebbled asphalt road surface." + }, + { + "image": "training\\images\\254.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the center of the image.\n4. The crack is approximately 15 centimeters long.\n5. The crack is a thin, vertical line that is jagged in shape.\n6. The background of the image is a close-up of asphalt pavement." + }, + { + "image": "training\\images\\255.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 2 mm wide.\n5. The crack is a thin, linear feature with a rough surface. It is oriented at a 45-degree angle to the horizontal.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\256.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, straight line. It is oriented at a 45-degree angle.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\257.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, vertical line that is jagged in shape.\n6. The background of the image is a grey asphalt pavement." + }, + { + "image": "training\\images\\258.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches long and 0.5 inches wide.\n5. The crack is linear and has a jagged edge.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\259.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 1 mm wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\26.jpg", + "caption": " 1. A close-up image of a single crack on a concrete surface.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is approximately 10 cm long and 1 mm wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background is a uniform concrete surface." + }, + { + "image": "training\\images\\262.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 10 inches long and 1/4 inch wide.\n5. The crack is linear and runs horizontally across the image.\n6. The background is a close-up of asphalt pavement." + }, + { + "image": "training\\images\\263.jpg", + "caption": " 1. A close-up image of a crack on an asphalt road surface.\n2. Crack500.\n3. The crack is located in the middle of the image and runs diagonally from the top left corner to the bottom right corner.\n4. The crack is approximately 10 inches long and 1/4 inch wide.\n5. The crack is linear and has a jagged edge.\n6. The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "training\\images\\265.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 2 mm wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background of the image is grey and consists of small pebbles." + }, + { + "image": "training\\images\\266.jpg", + "caption": " 1. A close-up image of a crack on an asphalt road surface.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 3 inches long and 1/4 inch wide.\n5. The crack is linear and runs diagonally across the image.\n6. The background of the image is a close-up of an asphalt road surface with small pebbles and some larger rocks." + }, + { + "image": "training\\images\\267.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, winding and twisting, with a slight curve to the right.\n6. The background of the image is a grey asphalt pavement." + }, + { + "image": "training\\images\\268.jpg", + "caption": " 1. The image shows a close-up of a concrete surface with a large number of cracks.; 2. Crack500; 3. The cracks are spread across the entire surface of the concrete.; 4. The cracks vary in size from small hairline cracks to large cracks that are several inches long.; 5. The cracks are mostly linear but there are also some curved cracks.; 6. The background of the image is a solid concrete surface." + }, + { + "image": "training\\images\\269.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 2 mm wide.\n5. The crack is a jagged line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\27.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 1 mm wide.\n5. The crack is a straight line with a slight curve to the right.\n6. The background is a grey asphalt road." + }, + { + "image": "training\\images\\270.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 3 inches long.\n5. The crack is a thin, vertical line that is jagged in shape.\n6. The background of the image is a grey asphalt road." + }, + { + "image": "training\\images\\271.jpg", + "caption": " 1. This is an image of a crack on an asphalt pavement surface.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background of the image is a close-up of an asphalt pavement surface." + }, + { + "image": "training\\images\\272.jpg", + "caption": " 1. This is an image of a crack in asphalt.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long.\n5. The crack is a thin, straight line that runs diagonally across the image.\n6. The background is a grey asphalt road." + }, + { + "image": "training\\images\\273.jpg", + "caption": " 1. A close-up image of a crack on an asphalt road surface.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 1 cm wide.\n5. The crack is linear and has a slight zigzag shape.\n6. The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "training\\images\\274.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 10 inches long.\n5. The crack is a thin, linear feature with a slightly meandering path.\n6. The background of the image is a close-up of asphalt pavement." + }, + { + "image": "training\\images\\276.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches wide.\n5. The crack is linear and runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\277.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches wide.\n5. The crack is linear and runs horizontally across the image.\n6. The background of the image is grey asphalt pavement." + }, + { + "image": "training\\images\\278.jpg", + "caption": " 1. A close-up image of a crack in an asphalt pavement; 2. Crack500; 3. The crack is located in the middle of the image; 4. The crack is about 1.5 inches wide and 10 inches long; 5. The crack is linear with a slight curve to the right; 6. The background of the image is a close-up of an asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\279.jpg", + "caption": " 1. This is an image of a crack in asphalt.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long and 1/4 inch wide.\n5. The crack is linear with a slight curve to the right.\n6. The background of the image is grey asphalt with small pebbles." + }, + { + "image": "training\\images\\28.jpg", + "caption": " 1. This is an image of a crack on an asphalt pavement surface.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 10 inches long and 0.25 inches wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background of the image is a close-up of an asphalt pavement surface." + }, + { + "image": "training\\images\\280.jpg", + "caption": " 1. This is an image of a crack on an asphalt road surface.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 10 inches long and 1/4 inch wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background of the image is a close-up of an asphalt road surface with small pebbles and a few small cracks." + }, + { + "image": "training\\images\\281.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background is a close-up of asphalt pavement." + }, + { + "image": "training\\images\\282.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches wide.\n5. The crack is a thin, winding and twisting crack, with a slight curve to the right.\n6. The background is a close-up of asphalt pavement." + }, + { + "image": "training\\images\\283.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\285.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 2 mm wide.\n5. The crack is a V-shaped and it is nearly straight.\n6. The background of the image is a close-up of a grey asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\286.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, vertical line that is jagged in shape.\n6. The background of the image is a grey asphalt road." + }, + { + "image": "training\\images\\287.jpg", + "caption": " 1. This is an image of a crack in an asphalt pavement.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches long.\n5. The crack is a thin, straight line that runs diagonally across the image.\n6. The background of the image is a close-up of an asphalt pavement." + }, + { + "image": "training\\images\\288.jpg", + "caption": " 1. This is an image of a crack in asphalt.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches wide.\n5. The crack is linear and runs horizontally across the image.\n6. The background is asphalt." + }, + { + "image": "training\\images\\289.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background of the image is grey asphalt pavement." + }, + { + "image": "training\\images\\290.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long and 1/4 inch wide.\n5. The crack is a jagged line that runs diagonally across the image.\n6. The background of the image is a grey asphalt pavement." + }, + { + "image": "training\\images\\291.jpg", + "caption": " 1. A close-up image of a crack in an asphalt pavement; 2. Crack500; 3. The crack is located in the middle of the image; 4. The crack is approximately 1.5 inches long; 5. The crack is linear and runs diagonally from the top left corner of the image to the bottom right corner; 6. The background of the image is a close-up of an asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\293.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 2 mm wide.\n5. The crack is a winding and twisting, with a few sharp turns. The crack is also relatively wide, which may indicate that it is a relatively old crack.\n6. The background of the image is a close-up of a grey asphalt pavement surface with small pebbles." + }, + { + "image": "training\\images\\294.jpg", + "caption": " 1. The image shows a close-up of a crack in an asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches long and 0.25 inches wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background of the image is a close-up of an asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\295.jpg", + "caption": " 1. This is an image of a crack on an asphalt pavement surface.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches long.\n5. The crack is a thin, winding and twisting crack, with a slight curve to the right.\n6. The background of the image is a grey asphalt pavement surface." + }, + { + "image": "training\\images\\296.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long and 1/4 inch wide.\n5. The crack is a single, continuous crack that runs in a zigzag pattern.\n6. The background is a close-up of asphalt pavement." + }, + { + "image": "training\\images\\3.jpg", + "caption": " 1. This is an image of a single large crack on an asphalt road surface.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 feet long and 0.5 inches wide.\n5. The crack is a single, continuous crack that runs from left to right across the image. The crack is relatively straight, with a few small bends and curves along its length.\n6. The background of the image is a close-up of an asphalt road surface. The road surface is dark gray in color and has a rough, textured surface. There is a black sneaker in the bottom right corner of the image." + }, + { + "image": "training\\images\\30.jpg", + "caption": " 1. A close-up image of a crack in asphalt.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches long and 0.25 inches wide.\n5. The crack is fairly straight with a slight zig-zag pattern.\n6. The background of the image is grey asphalt with small pebbles." + }, + { + "image": "training\\images\\301.jpg", + "caption": " 1. A close-up image of a crack in an asphalt pavement; 2. Crack500; 3. The crack is located in the middle of the image; 4. The crack is about 1.5 inches wide and 10 inches long; 5. The crack is linear and runs diagonally from the top left corner of the image to the bottom right corner; 6. The background is a close-up of an asphalt pavement with small pebbles and some small cracks." + }, + { + "image": "training\\images\\302.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 1 cm wide.\n5. The crack is a winding crack.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\303.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, curved line that runs horizontally across the image. The crack has a slight zigzag pattern.\n6. The background of the image is a grey asphalt pavement." + }, + { + "image": "training\\images\\304.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 10 inches long and 0.5 inches wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background is a close-up of asphalt pavement." + }, + { + "image": "training\\images\\306.jpg", + "caption": " 1. A close-up image of a crack in asphalt.\n2. Crack500.\n3. The crack is located in the center of the image.\n4. The crack is approximately 10 cm long and 2 mm wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background of the image is grey asphalt with small pebbles." + }, + { + "image": "training\\images\\308.jpg", + "caption": " 1. This is a close-up image of a crack in an asphalt pavement.\n2. Crack500\n3. The crack is located in the center of the image.\n4. The crack is approximately 1/4 inch wide and 12 inches long.\n5. The crack is linear and runs diagonally from the top left corner of the image to the bottom right corner.\n6. The background of the image is a close-up of an asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\309.jpg", + "caption": " 1. A close-up image of a crack on an asphalt road surface.\n2. Crack500.\n3. The crack is located in the middle of the image, running horizontally from left to right.\n4. The crack is approximately 1.5 inches long and 0.25 inches wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "training\\images\\31.jpg", + "caption": " 1. This is an image of a crack on an asphalt road surface.\n2. Crack500\n3. The crack is located in the middle of the image and runs horizontally.\n4. The crack is approximately 1.5 inches wide and 10 inches long.\n5. The crack is jagged and has a zig-zag pattern.\n6. The background of the image is a close-up of the asphalt road surface, which is dark gray in color and has a rough texture." + }, + { + "image": "training\\images\\310.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 2 mm wide.\n5. The crack is a thin, winding and twisting crack, with some small pieces of asphalt missing.\n6. The background of the image is a grey asphalt pavement." + }, + { + "image": "training\\images\\311.jpg", + "caption": " 1. A close-up image of a crack in an asphalt pavement; 2. Crack500; 3. The crack is located in the middle of the image; 4. The crack is approximately 1.5 inches long; 5. The crack is a thin, vertical line that is slightly curved; 6. The background is a close-up of an asphalt pavement." + }, + { + "image": "training\\images\\312.jpg", + "caption": " 1. A close-up image of a crack in an asphalt pavement.\n2. Crack500.\n3. The crack is located in the center of the image.\n4. The crack is approximately 20 cm long and 1 cm wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background of the image is a close-up of an asphalt pavement." + }, + { + "image": "training\\images\\313.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, curved line.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\314.jpg", + "caption": " 1. This is an image of a crack in asphalt; 2. Crack500; 3. The crack is located in the middle of the image; 4. The crack is about 1/4 inch wide and 2 feet long; 5. The crack is linear with a slight curve to the right; 6. The background is a close-up of asphalt." + }, + { + "image": "training\\images\\316.jpg", + "caption": " 1. This is an image of a crack in an asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches wide.\n5. The crack is a winding and twisting, with a few sharp turns. It is also relatively long, running from one side of the image to the other.\n6. The background of the image is a close-up of the asphalt pavement." + }, + { + "image": "training\\images\\317.jpg", + "caption": " 1. This is an image of a crack in asphalt.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background of the image is gray asphalt." + }, + { + "image": "training\\images\\318.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 1 mm wide.\n5. The crack is a thin, curved line that runs horizontally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\32.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 2 mm wide.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\320.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 1/4 inch wide and 10 inches long.\n5. The crack is a winding and twisting, with a few sharp turns. The crack is also relatively wide, which may indicate that it is a relatively old crack.\n6. The background of the image is a close-up of a grey asphalt road surface with small pebbles." + }, + { + "image": "training\\images\\321.jpg", + "caption": " 1. This is an image of a crack in asphalt.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 1/4 inch wide and 12 inches long.\n5. The crack is linear and runs diagonally across the image.\n6. The background is grey asphalt with small pebbles." + }, + { + "image": "training\\images\\322.jpg", + "caption": " 1. This is an image of a crack in an asphalt pavement.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long and 1/4 inch wide.\n5. The crack is a sealed crack with a slight curve.\n6. The background is a close-up of an asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\324.jpg", + "caption": " 1. A close-up image of a crack in an asphalt pavement; 2. Crack500; 3. The crack is located in the middle of the image; 4. The crack is approximately 3 inches long; 5. The crack is a thin, vertical line that runs diagonally from the top left corner of the image to the bottom right corner; 6. The background is a close-up of an asphalt pavement with small pebbles and some small cracks." + }, + { + "image": "training\\images\\326.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm in length.\n5. The crack is a thin, winding and twisting crack, with a slight curve to the right.\n6. The background is a grey asphalt road surface." + }, + { + "image": "training\\images\\327.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches wide.\n5. The crack is linear and runs horizontally across the image.\n6. The background is a close-up of asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\328.jpg", + "caption": " 1. This is an image of a crack in the asphalt of a parking lot.; 2. Crack500; 3. The crack is located in the middle of the image and is oriented diagonally from the bottom left corner to the top right corner.; 4. The crack is approximately 1.5 inches wide at its widest point and 10 inches long.; 5. The crack is relatively straight with some minor deviations to its left and right. The crack is filled with a dark material.; 6. The background of the image is composed of a large area of asphalt with a few small pebbles and two brown shoes in the bottom right corner." + }, + { + "image": "training\\images\\329.jpg", + "caption": " 1. A close-up image of a single crack on an asphalt road surface.\n2. Crack500.\n3. The crack is located in the center of the image.\n4. The crack is approximately 10 cm long and 1 mm wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background of the image is a close-up of an asphalt road surface with small pebbles and some small cracks." + }, + { + "image": "training\\images\\33.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 1 mm wide.\n5. The crack is a straight line with a slight curve to the right.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\330.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 2 mm wide.\n5. The crack is a straight line that runs vertically down the image.\n6. The background of the image is a grey asphalt pavement." + }, + { + "image": "training\\images\\333.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\334.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\337.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\338.jpg", + "caption": " 1. This is an image of a crack in asphalt.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 1 inch wide and 10 inches long.\n5. The crack is linear and has a slight curve to the right.\n6. The background of the image is asphalt with small pebbles." + }, + { + "image": "training\\images\\339.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 1 cm wide.\n5. The crack is a jagged line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\34.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 2 mm wide.\n5. The crack is a straight line and it is open.\n6. The background is a close-up of a piece of asphalt." + }, + { + "image": "training\\images\\340.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\341.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 1/4 inch wide and 12 inches long.\n5. The crack is linear with a slight curve to the right.\n6. The background of the image is grey asphalt pavement." + }, + { + "image": "training\\images\\342.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches long.\n5. The crack is a thin, diagonal line that is open at both ends and has a slight bend in the middle.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\343.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background is a grey, pebbled asphalt road surface." + }, + { + "image": "training\\images\\344.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.; 2. Crack500; 3. The crack is located in the middle of the image; 4. The crack is about 1.5 inches wide and 12 inches long; 5. The crack is linear and has a slight curve to the right; 6. The background of the image is grey asphalt pavement." + }, + { + "image": "training\\images\\346.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.; 2. Crack500; 3. The crack is located in the middle of the image; 4. The crack is approximately 1.5 inches wide and 12 inches long; 5. The crack is linear with a slight curve to the right; 6. The background is a close-up of asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\348.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 1 cm wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background is a close-up of a grey asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\349.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 2 mm wide.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\35.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a straight line with a slight curve at the bottom.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\350.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\351.jpg", + "caption": " 1. A close-up image of a crack in an asphalt pavement.\n2. Crack500.\n3. The crack is located in the center of the image.\n4. The crack is approximately 10 cm long and 1 cm wide.\n5. The crack is linear and has a slight curve to the right. The crack is also relatively straight and continuous, with no major deviations or branches.\n6. The background of the image is a close-up of an asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\353.jpg", + "caption": " 1. A close-up image of a single sealed crack on an asphalt road surface.\n2. Crack500 dataset.\n3. The crack is located in the middle of the image, running horizontally.\n4. The crack is approximately 1.5 inches wide at its widest point and 10 inches long.\n5. The crack has a zig-zag shape and is slightly curved.\n6. The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "training\\images\\355.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 10 inches long and 0.5 inches wide.\n5. The crack is a single, continuous crack that runs in a straight line from top to bottom. The crack is jagged and has a rough surface.\n6. The background of the image is asphalt pavement." + }, + { + "image": "training\\images\\356.jpg", + "caption": " 1. A close-up image of a crack in an asphalt pavement.\n2. Crack500.\n3. The crack is located in the middle of the image and runs horizontally across the pavement.\n4. The crack is approximately 1/4 inch wide and 12 inches long.\n5. The crack is linear and has a slight zigzag pattern.\n6. The background of the image is a close-up of an asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\357.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches long.\n5. The crack is a thin, straight line that runs horizontally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\358.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 2 mm wide.\n5. The crack is a jagged line that runs diagonally across the image.\n6. The background of the image is a grey asphalt pavement." + }, + { + "image": "training\\images\\36.jpg", + "caption": " 1. This is an image of a crack on an asphalt pavement surface.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches wide and 12 inches long.\n5. The crack is a thin, winding and twisting crack, with a slight curve.\n6. The background of the image is a close-up of an asphalt pavement surface." + }, + { + "image": "training\\images\\360.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located at the center of the image.\n4. The crack is about 3 inches long.\n5. The crack is a thin, vertical line that is jagged and has a few small branches.\n6. The background of the image is a grey asphalt pavement." + }, + { + "image": "training\\images\\361.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, straight line that runs vertically down the middle of the image.\n6. The background is a dark gray asphalt pavement." + }, + { + "image": "training\\images\\362.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\363.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long and 1/4 inch wide.\n5. The crack is a thin, winding and twisting crack, with a slight curve to the right.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\364.jpg", + "caption": " 1. A close-up image of a crack on an asphalt road surface.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is approximately 10 inches long and 0.25 inches wide.\n5. The crack is linear and has a slight curve to the right. The crack is also relatively straight and has a uniform width.\n6. The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "training\\images\\366.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches wide.\n5. The crack is linear and runs horizontally across the image.\n6. The background is a close-up of asphalt pavement." + }, + { + "image": "training\\images\\368.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, vertical line that is jagged in some parts and straight in others.\n6. The background of the image is a grey asphalt road." + }, + { + "image": "training\\images\\369.jpg", + "caption": " 1. This is an image of a crack on an asphalt pavement surface.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches long.\n5. The crack is relatively straight with a slight curve to the right in the middle.\n6. The background of the image is a close-up of an asphalt pavement surface." + }, + { + "image": "training\\images\\37.jpg", + "caption": " 1. A close-up image of a crack in an asphalt pavement; 2. Crack500; 3. The crack is located in the middle of the image; 4. The crack is about 3.5 inches long; 5. The crack is relatively straight with a slight curve to the right; 6. The background of the image is a close-up of an asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\372.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background of the image is a grey asphalt pavement." + }, + { + "image": "training\\images\\373.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located at the center of the image.\n4. The crack is about 10 cm long and 2 mm wide.\n5. The crack is a diagonal line that runs from the top left corner of the image to the bottom right corner. The crack is jagged and has several branches.\n6. The background is a close-up of a grey asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\374.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long.\n5. The crack is a thin, vertical line that runs down the middle of the image.\n6. The background of the image is a close-up of a pavement surface." + }, + { + "image": "training\\images\\375.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, vertical line that is jagged in some parts.\n6. The background of the image is a grey, pebbled asphalt road surface." + }, + { + "image": "training\\images\\376.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 3 inches long.\n5. The crack is a thin, vertical line that is jagged in shape.\n6. The background of the image is a grey, pebbled asphalt road surface." + }, + { + "image": "training\\images\\377.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is 1.5 inches wide.\n5. The crack is a straight line that runs vertically down the image.\n6. The background of the image is a close-up of a grey asphalt road surface with small pebbles." + }, + { + "image": "training\\images\\378.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 2 mm wide.\n5. The crack is a jagged line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\379.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\38.jpg", + "caption": " 1. This is an image of a crack in an asphalt pavement; 2. Crack500; 3. The crack is located in the middle of the image; 4. The crack is about 20 cm long and 1 cm wide; 5. The crack is linear and has a slight curve to the right; 6. The background is a close-up of an asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\380.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 10 inches long.\n5. The crack is a thin, jagged line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\381.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches long.\n5. The crack is a thin, straight line that runs diagonally across the image.\n6. The background is a close-up of asphalt pavement." + }, + { + "image": "training\\images\\382.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches long.\n5. The crack is a thin, winding and twisting crack, with a slight zigzag pattern.\n6. The background of the image is a grey asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\383.jpg", + "caption": " 1. The image shows a close-up of a gray asphalt pavement with a crack running diagonally from the bottom left corner to the top right corner.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background of the image is gray asphalt pavement." + }, + { + "image": "training\\images\\384.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long.\n5. The crack is a crescent-shaped curve with a few small branches.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\385.jpg", + "caption": " 1. A close-up image of a crack on an asphalt road surface.\n2. Crack500.\n3. The crack is located in the middle of the image, running horizontally from left to right.\n4. The crack is approximately 1.5 inches long and 0.25 inches wide.\n5. The crack is relatively straight with a slight curve to the right. The crack is also relatively uniform in width, with some small variations along its length.\n6. The background of the image is a close-up of an asphalt road surface, with small pebbles and stones visible." + }, + { + "image": "training\\images\\386.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long.\n5. The crack is a sealed longitudinal crack with a slight leftward trend.\n6. The background of the image is a close-up of a grey asphalt pavement surface with small pebbles." + }, + { + "image": "training\\images\\388.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long.\n5. The crack is a thin, curved line that runs horizontally across the image.\n6. The background is a close-up of a brown shoe and a gray asphalt road with small pebbles." + }, + { + "image": "training\\images\\389.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, curved line that runs horizontally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\39.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long.\n5. The crack is a thin, curved line that runs horizontally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\391.jpg", + "caption": " 1. This is an image of a crack in asphalt.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 20 cm long and 1 cm wide.\n5. The crack is a jagged line that runs from the top left corner of the image to the bottom right corner.\n6. The background of the image is grey." + }, + { + "image": "training\\images\\392.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 30 cm long and 1 cm wide.\n5. The crack is a straight line with a slight curve to the right.\n6. The background of the image is a grey asphalt pavement." + }, + { + "image": "training\\images\\393.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500 dataset.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 1 cm wide.\n5. The crack is a jagged line that runs horizontally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\395.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\396.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, vertical line that is jagged and has a slight curve to the right.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\397.jpg", + "caption": " 1. This is an image of a crack in asphalt.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 1/4 inch wide and 2 feet long.\n5. The crack is linear and runs diagonally across the image.\n6. The background is asphalt." + }, + { + "image": "training\\images\\398.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches wide.\n5. The crack is linear and runs diagonally from the top left corner of the image to the bottom right corner.\n6. The background of the image is grey asphalt pavement." + }, + { + "image": "training\\images\\4.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 10 inches long and 0.5 inches wide.\n5. The crack is a single, continuous crack that runs in a straight line from left to right across the pavement.\n6. The background of the image is a close-up of the asphalt pavement, which is dark gray in color and has a rough texture." + }, + { + "image": "training\\images\\40.jpg", + "caption": " 1. This is an image of a crack in asphalt.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches long.\n5. The crack is a zigzag shape and is oriented horizontally.\n6. The background is asphalt with small pebbles." + }, + { + "image": "training\\images\\41.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\43.jpg", + "caption": " 1. This is an image of a dark gray asphalt pavement with a crack running through the middle.\n2. Crack500\n3. The crack is located in the middle of the image and runs horizontally.\n4. The crack is approximately 1.5 inches wide at its widest point and 12 inches long.\n5. The crack is relatively straight with some minor jagged edges.\n6. The background of the image is a close-up of the asphalt pavement." + }, + { + "image": "training\\images\\44.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\45.jpg", + "caption": " 1. This is an image of a crack on an asphalt pavement surface.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches wide.\n5. The crack is linear and runs horizontally across the image.\n6. The background of the image is a close-up of an asphalt pavement surface with small pebbles and some small cracks." + }, + { + "image": "training\\images\\47.jpg", + "caption": " 1. This is an image of a crack on an asphalt road surface.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches wide.\n5. The crack is linear and runs horizontally across the image.\n6. The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "training\\images\\48.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches wide.\n5. The crack is linear and runs horizontally across the image.\n6. The background of the image is grey asphalt pavement." + }, + { + "image": "training\\images\\49.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long.\n5. The crack is a thin, curved line that runs horizontally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\5.jpg", + "caption": " 1. This is an image of a crack on an asphalt pavement surface.\n2. Crack500\n3. The crack is located in the middle of the image and is oriented diagonally from the top left corner to the bottom right corner.\n4. The crack is approximately 1.5 inches wide at its widest point and 12 inches long.\n5. The crack is relatively straight with a slight curve to the right in the middle. The crack appears to be sealed with some sealant.\n6. The background of the image is a close-up of an asphalt pavement surface with small pebbles and some larger rocks embedded in it." + }, + { + "image": "training\\images\\50.jpg", + "caption": " 1. This is an image of a crack on an asphalt road surface.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 10 cm long and 1 mm wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background of the image is grey asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\51.jpg", + "caption": " 1. This is an image of a crack on an asphalt road surface.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 10 inches long and 0.5 inches wide.\n5. The crack is jagged and has a zig-zag pattern.\n6. The background is a close-up of an asphalt road surface." + }, + { + "image": "training\\images\\52.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long.\n5. The crack is a thin, winding and twisting, with a slight curve to the right.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\55.jpg", + "caption": " 1. This is an image of a crack on an asphalt road surface.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 1 mm wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "training\\images\\59.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 30 cm long and 1 cm wide.\n5. The crack is a jagged line that runs diagonally across the image.\n6. The background is a grey asphalt road." + }, + { + "image": "training\\images\\6.jpg", + "caption": " 1. This is an image of a crack in asphalt.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches wide and 10 inches long.\n5. The crack is jagged and has a few small branches. It is oriented diagonally from the top left to the bottom right of the image.\n6. The background is grey asphalt with small pebbles." + }, + { + "image": "training\\images\\60.jpg", + "caption": " 1. The image shows a close-up of a concrete surface with a large crack running through it.\n2. Crack500\n3. The crack is located in the center of the image and runs diagonally from the top left corner to the bottom right corner.\n4. The crack is approximately 10 inches long and 1/4 inch wide.\n5. The crack is jagged and has a rough texture. It is also filled with a dark substance, which may be sealant or debris.\n6. The background of the image is a close-up of a concrete surface with small pebbles embedded in it." + }, + { + "image": "training\\images\\61.jpg", + "caption": " 1. This is an image of a crack on an asphalt pavement surface.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches long.\n5. The crack is a thin, straight line that runs horizontally across the image.\n6. The background of the image is a close-up of an asphalt pavement surface." + }, + { + "image": "training\\images\\62.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, vertical line that is jagged in shape.\n6. The background of the image is a grey asphalt road." + }, + { + "image": "training\\images\\63.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, straight line.\n6. The background is a light brown concrete surface." + }, + { + "image": "training\\images\\64.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.; 2. Crack500 dataset; 3. The crack is located in the middle of the image.; 4. The crack is approximately 1.5 inches wide.; 5. The crack is a thin, winding and twisting crack, with a slight zigzag pattern.; 6. The background of the image is a close-up of asphalt pavement." + }, + { + "image": "training\\images\\65.jpg", + "caption": " 1. This is an image of a crack on an asphalt road surface.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 1 cm wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background of the image is grey asphalt road surface." + }, + { + "image": "training\\images\\66.jpg", + "caption": " 1. A close-up image of a single crack on an asphalt road surface.\n2. Crack500.\n3. The crack is located in the center of the image.\n4. The crack is approximately 10 cm long and 0.5 cm wide.\n5. The crack is linear and runs vertically down the center of the image.\n6. The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "training\\images\\67.jpg", + "caption": " 1. This is an image of a crack on an asphalt pavement surface.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches long.\n5. The crack is a thin, winding and twisting crack, with a slight dip in the middle.\n6. The background of the image is a grey asphalt pavement surface." + }, + { + "image": "training\\images\\68.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located at the center of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, winding and twisting crack, with some small branches.\n6. The background is a grey, rough concrete surface." + }, + { + "image": "training\\images\\69.jpg", + "caption": " 1. This is an image of a crack in an asphalt pavement.\n2. Crack500\n3. The crack is located in the center of the image.\n4. The crack is approximately 1.5 inches wide and 10 inches long.\n5. The crack is a straight line that runs vertically down the image.\n6. The background of the image is a grey asphalt pavement." + }, + { + "image": "training\\images\\70.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long.\n5. The crack is a half-moon shape and is relatively wide.\n6. The background of the image is grey." + }, + { + "image": "training\\images\\72.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 30 cm long and 1 cm wide.\n5. The crack is a thin, winding line, and is not sealed.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\73.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500 dataset.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, vertical line that is jagged in shape and runs diagonally from the top left corner to the bottom right corner of the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\75.jpg", + "caption": " 1. This is an image of a crack in an asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches wide.\n5. The crack is linear and runs diagonally across the image.\n6. The background of the image is a close-up of an asphalt pavement." + }, + { + "image": "training\\images\\76.jpg", + "caption": " 1. This is an image of a crack in an asphalt pavement.\n2. Crack500 dataset.\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches wide at its widest point and 10 inches long.\n5. The crack is a sealed, semi- meandering crack with a slight dip in the middle.\n6. The background of the image is a close-up of an asphalt pavement with small pebbles and a few red markings." + }, + { + "image": "training\\images\\77.jpg", + "caption": " 1. This is an image of a crack on an asphalt road surface.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches wide.\n5. The crack is linear and has a slight zig-zag shape.\n6. The background of the image is a close-up of an asphalt road surface with small pebbles." + }, + { + "image": "training\\images\\78.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1/4 inch wide and 1 foot long.\n5. The crack is linear and has a slight curve to the right.\n6. The background of the image is grey asphalt pavement." + }, + { + "image": "training\\images\\79.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 2 mm wide.\n5. The crack is a jagged line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\8.jpg", + "caption": " 1. This is an image of a crack in asphalt.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 20 cm long and 1 cm wide.\n5. The crack is a single, continuous crack that runs in a straight line from left to right.\n6. The background is a close-up of a grey asphalt road surface with small pebbles." + }, + { + "image": "training\\images\\80.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\84.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long and 1/4 inch wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background is a close-up of asphalt pavement." + }, + { + "image": "training\\images\\86.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 1 mm wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background is a close-up of a grey asphalt road surface with small pebbles." + }, + { + "image": "training\\images\\88.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long and 1/4 inch wide.\n5. The crack is linear and has a zigzag shape.\n6. The background is a close-up of asphalt pavement." + }, + { + "image": "training\\images\\89.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 1/4 inch wide and 12 inches long.\n5. The crack is linear and runs horizontally across the image.\n6. The background is a close-up of asphalt pavement." + }, + { + "image": "training\\images\\9.jpg", + "caption": " 1. This is an image of a crack in an asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 10 inches long and 0.25 inches wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background of the image is a close-up of an asphalt pavement with small pebbles and some small dark spots." + }, + { + "image": "training\\images\\90.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 1 mm wide.\n5. The crack is a straight line with a slight curve at the bottom.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\91.jpg", + "caption": " 1. This is an image of a crack in asphalt.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 10 inches long.\n5. The crack is a thin, jagged line that runs horizontally across the image.\n6. The background of the image is grey asphalt." + }, + { + "image": "training\\images\\93.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches long.\n5. The crack is a thin, diagonal line. It is a fatigue crack.\n6. The background is a grey asphalt pavement." + }, + { + "image": "training\\images\\96.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 3 inches long.\n5. The crack is a thin, vertical line that is jagged in shape.\n6. The background of the image is a grey asphalt pavement." + }, + { + "image": "training\\images\\97.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 1 cm wide.\n5. The crack is a straight line with a slight curve at the end.\n6. The background is a close-up of a grey asphalt pavement with small pebbles." + }, + { + "image": "training\\images\\98.jpg", + "caption": " 1. This is an image of a crack on an asphalt road surface.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 10 inches long and 0.25 inches wide.\n5. The crack has a zig-zag shape and is oriented horizontally across the image.\n6. The background is a close-up of an asphalt road surface with small pebbles and some small cracks." + }, + { + "image": "training\\images\\99.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches wide.\n5. The crack is linear and runs horizontally across the image.\n6. The background is a close-up of asphalt pavement." + }, + { + "image": "training\\annotations\\10.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a long and winding shape, with a few branches. The crack is thick in the middle and gets thinner towards the two ends." + }, + { + "image": "training\\annotations\\100.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a long and winding shape, with many small branches and cracks." + }, + { + "image": "training\\annotations\\101.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a long and winding shape, with a few branches. The crack is thick in the middle and becomes thinner towards the ends." + }, + { + "image": "training\\annotations\\103.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large area of interconnected cracks. The cracks are generally thin and have a high degree of curvature." + }, + { + "image": "training\\annotations\\104.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map has a complex trend and shape, with many small cracks and large cracks. The cracks are mostly vertical and horizontal, with some diagonal cracks. The cracks are also of varying widths, with some cracks being very thin and others being quite wide." + }, + { + "image": "training\\annotations\\106.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512 x 512 pixels.\n5. The semantic map shows a single crack that is nearly horizontal but has many small bends and jogs, and the crack has an average width of 5 pixels." + }, + { + "image": "training\\annotations\\107.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 256x256 pixels.\n5. The semantic map shows a nearly horizontal crack that is thick in the middle and gets thinner towards the ends, with a slight curve upwards." + }, + { + "image": "training\\annotations\\108.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white line on a black background. The line is curved and has a width of 1-3 pixels. The line is oriented from top-left to bottom-right." + }, + { + "image": "training\\annotations\\11.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a complex trend and shape, with many small cracks and large cracks. The cracks are mostly vertical and horizontal, with some diagonal cracks. The cracks are also of varying widths, with some cracks being very thin and others being quite wide." + }, + { + "image": "training\\annotations\\110.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 256x256 pixels.\n5. The semantic map shows a large crack in the pavement that is oriented vertically, with two smaller cracks branching off from it at the top and bottom." + }, + { + "image": "training\\annotations\\112.png", + "caption": " 1. This is a Crack500 semantic map of a pavement crack image, which is a binary image where white pixels indicate the presence of cracks and black pixels indicate the absence of cracks.\n2. Crack500\n3. The Crack500 semantic map is located in the center of the image.\n4. The Crack500 semantic map is 224x224 pixels.\n5. The Crack500 semantic map shows a single, long, diagonal crack that starts in the top left corner and ends in the bottom right corner. The crack is relatively straight, with a few small deviations from a straight line." + }, + { + "image": "training\\annotations\\114.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The Crack500_001_00000.png is located at the center of the image.\n4. The size of the Crack500_001_00000.png is 1200 x 300 pixels.\n5. The Crack500_001_00000.png is a thin, horizontal, curvilinear object that is mostly in the middle of the image, but slightly towards the top. The crack is not straight, but has some small bends and turns." + }, + { + "image": "training\\annotations\\117.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that runs diagonally from the bottom left corner of the image to the top right corner. The crack is about 10 pixels wide at its widest point." + }, + { + "image": "training\\annotations\\118.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, which shows the location and shape of the crack in white against a black background.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map shows a single, nearly vertical crack that is approximately 15 pixels wide at its widest point and runs nearly the entire height of the image." + }, + { + "image": "training\\annotations\\119.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a curvilinear trend and shape, with multiple branches and a few sharp turns." + }, + { + "image": "training\\annotations\\12.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a complex shape with many branches and curves. The overall trend of the map is vertical, and the shape is like a tree with many branches." + }, + { + "image": "training\\annotations\\124.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a long and thin vertical line, with a slight curve to the right." + }, + { + "image": "training\\annotations\\125.png", + "caption": " 1. This is a Crack500 semantic map of a pavement crack image.\n2. Crack500\n3. Center of the image.\n4. 1024 * 1024 pixels.\n5. The crack is a thin, elongated, and curvilinear object that is oriented horizontally across the image." + }, + { + "image": "training\\annotations\\126.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows two parallel cracks that are nearly straight and vertical, with a slight curve to the right." + }, + { + "image": "training\\annotations\\127.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the top left corner to the bottom right corner of the image. The crack is approximately 10 pixels wide at its widest point." + }, + { + "image": "training\\annotations\\129.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512 x 512 pixels.\n5. The semantic map shows a single long and nearly vertical crack with a slight curve to the right." + }, + { + "image": "training\\annotations\\13.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a triangular shape with three branches. The main branch is oriented vertically, and the other two branches are oriented at approximately 45 degrees to the main branch." + }, + { + "image": "training\\annotations\\130.png", + "caption": " 1. This is a black and white semantic map of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has two large curved cracks that are connected by three smaller curved cracks." + }, + { + "image": "training\\annotations\\131.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a long and winding shape, with several branches. The crack is thick in the middle and gets thinner towards the ends." + }, + { + "image": "training\\annotations\\132.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 256x256 pixels.\n5. The semantic map shows a large crack that runs horizontally across the image, with a smaller crack that runs vertically up from the center." + }, + { + "image": "training\\annotations\\133.png", + "caption": " 1. This is a Crack500 semantic map of a pavement crack image, which is a binary image with white pixels indicating the location of the crack and black pixels indicating the background. \n2. Crack500\n3. The semantic map is located at the center of the image. \n4. The semantic map is 1280x720 pixels. \n5. The crack is a thin, curvilinear object that runs horizontally across the image. The crack has a relatively constant width and is not very jagged." + }, + { + "image": "training\\annotations\\134.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 256x256 pixels.\n5. The semantic map shows a single vertical crack that is 16 pixels wide at the top and 6 pixels wide at the bottom, and the crack is 248 pixels long." + }, + { + "image": "training\\annotations\\136.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white line drawing of a pavement crack. The crack is about 10 pixels wide and runs diagonally from the top left corner of the image to the bottom right corner. The crack has a few branches along its length." + }, + { + "image": "training\\annotations\\137.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. The dataset is Crack500.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a long and winding shape, with a few sharp turns. It is approximately 100 pixels wide at its widest point." + }, + { + "image": "training\\annotations\\139.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map is a long and thin white line that is oriented vertically." + }, + { + "image": "training\\annotations\\14.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. The dataset is Crack500.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a long and winding shape, with several branches. The branches are generally parallel to each other and have a width of 5-10 pixels." + }, + { + "image": "training\\annotations\\141.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large, winding crack with many branches. The crack is mostly oriented horizontally across the image, but has many twists and turns." + }, + { + "image": "training\\annotations\\142.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a nearly vertical crack that is approximately 1/4 of the image in length, and at the bottom of the image, there is a horizontal crack that is nearly 3/4 of the image in length." + }, + { + "image": "training\\annotations\\143.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map has two large cracks and several small cracks. The two large cracks are nearly parallel and both have a width of approximately 10 pixels. The small cracks have a width of approximately 5 pixels. The cracks are all oriented in the same direction." + }, + { + "image": "training\\annotations\\145.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. The dataset is Crack500.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a single vertical crack that is approximately 10 pixels wide and runs from the top to the bottom of the image." + }, + { + "image": "training\\annotations\\146.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a long and thin vertical line, with a few small branches. The line is slightly curved, and it is oriented vertically." + }, + { + "image": "training\\annotations\\147.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map shows a single long and thin crack that is oriented vertically and has a width of approximately 10 pixels." + }, + { + "image": "training\\annotations\\148.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a nearly horizontal crack that is thick in the middle and gets thinner towards the ends, with a slight curve upwards." + }, + { + "image": "training\\annotations\\15.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512 x 512 pixels.\n5. The semantic map has a long and winding shape, with many sharp turns. The crack is about 10 pixels wide at its widest point and runs diagonally across the image from the bottom left to the top right." + }, + { + "image": "training\\annotations\\150.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large tree-like structure with a main branch running vertically in the center and multiple branches extending in different directions. The branches are of different lengths and widths, and some of them are connected to each other." + }, + { + "image": "training\\annotations\\151.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a long and winding shape, with several branches. The main branch of the semantic map runs from the top left corner of the image to the bottom right corner." + }, + { + "image": "training\\annotations\\152.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. The dataset is Crack500.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map has a complex trend and shape, with many small cracks and large cracks. The cracks are mostly vertical and horizontal, with some diagonal cracks. The cracks are also of varying widths, with some cracks being very thin and others being quite wide." + }, + { + "image": "training\\annotations\\153.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a thin, elongated, and curvilinear object that is oriented horizontally across the image." + }, + { + "image": "training\\annotations\\155.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512 x 512 pixels.\n5. The semantic map shows three main cracks. The first crack is a vertical crack that starts from the left side of the image and goes all the way to the right side. The second crack is a horizontal crack that starts from the top of the image and goes all the way to the bottom. The third crack is a diagonal crack that starts from the top right corner of the image and goes all the way to the bottom left corner." + }, + { + "image": "training\\annotations\\156.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. The dataset is Crack500.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a \"tree-like\" shape with a main \"trunk\" running vertically through the center and several branches coming off of it at various angles. The \"trunk\" is thick and the branches are thin." + }, + { + "image": "training\\annotations\\157.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a nearly vertical crack that is approximately in the center of the image and extends from the top to the bottom of the image." + }, + { + "image": "training\\annotations\\158.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map shows a large crack that is nearly vertical, with two smaller cracks branching off of it at the bottom." + }, + { + "image": "training\\annotations\\159.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. The dataset is Crack500.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a long and thin crack that runs horizontally across the image. The crack is mostly straight, but it has a few small bends. The crack is also relatively wide, and it is surrounded by a thin line of white pixels." + }, + { + "image": "training\\annotations\\16.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 1024x1024 pixels.\n5. The semantic map shows a large crack that is nearly horizontal but with many small deviations in its path. The crack is thick and has many small branches." + }, + { + "image": "training\\annotations\\160.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a long and winding shape, and it is oriented diagonally from the top left corner to the bottom right corner of the image." + }, + { + "image": "training\\annotations\\161.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map is a white line drawing of a pavement crack. The crack is long and winding, and it runs diagonally across the image. The crack is widest in the middle and tapers off at the ends." + }, + { + "image": "training\\annotations\\162.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows two parallel curved cracks with several branches. The two main cracks are about 30 pixels apart, and the branches are about 10 pixels apart. The cracks are about 2 pixels wide." + }, + { + "image": "training\\annotations\\163.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a nearly vertical crack that is thick in the middle and thin at the ends." + }, + { + "image": "training\\annotations\\164.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a complex trend and shape, with multiple cracks running in different directions. The cracks are of varying widths, with some being very thin and others being quite wide. The cracks are also of varying lengths, with some being short and others being quite long." + }, + { + "image": "training\\annotations\\165.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. The dataset is Crack500.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a long and winding shape, with many branches and offshoots. The main body of the crack runs from the top left corner of the image to the bottom right corner, with several branches running off to the left and right. The crack is mostly thin, but there are some areas where it is wider." + }, + { + "image": "training\\annotations\\166.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white line with a width of 10 pixels. The line is curved and has a few branches." + }, + { + "image": "training\\annotations\\167.png", + "caption": " 1. This is a Crack500 semantic map of a pavement crack image, which is a binary image with white pixels indicating the location of cracks and black pixels indicating the background. \n2. Crack500\n3. The semantic map is located at the center of the image. \n4. The semantic map is 500x500 pixels. \n5. The semantic map shows a large crack that is oriented diagonally from the top left corner to the bottom right corner of the image. The crack is also present in the middle of the image and branches out in multiple directions." + }, + { + "image": "training\\annotations\\169.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 1024x1024 pixels.\n5. The semantic map is a white curve against a black background. The curve is a closed loop that starts in the lower left corner of the image, goes up and to the right, and then down and to the left. The curve is about 100 pixels wide at its widest point." + }, + { + "image": "training\\annotations\\170.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows two large interconnected curvilinear cracks that are roughly parallel to each other and oriented diagonally across the image. There are also two smaller curvilinear cracks that branch off from one of the larger cracks near the top of the image." + }, + { + "image": "training\\annotations\\171.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a single crack which is nearly vertical and slightly bending towards left." + }, + { + "image": "training\\annotations\\172.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a single crack that is nearly vertical, with a slight leftward slant. The crack is approximately 10 pixels wide at its widest point." + }, + { + "image": "training\\annotations\\173.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white curve against a black background. The curve is a closed shape with a few sharp turns. The curve is oriented diagonally from the top left corner to the bottom right corner of the image." + }, + { + "image": "training\\annotations\\174.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a thin, horizontal line that is slightly curved." + }, + { + "image": "training\\annotations\\175.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a single crack which is thick and has many twists and turns." + }, + { + "image": "training\\annotations\\178.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map is a white line with a width of 5 pixels. The line is curved and has a few branches." + }, + { + "image": "training\\annotations\\179.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white line with a width of 5 pixels. The line is not straight, but has a slight curve to the right." + }, + { + "image": "training\\annotations\\18.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the top left corner to the bottom right corner of the image. The crack is approximately 10 pixels wide and has a fairly consistent width throughout its length." + }, + { + "image": "training\\annotations\\181.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that runs diagonally from the top left corner to the bottom right corner of the image. The crack is about 10 pixels wide at its widest point." + }, + { + "image": "training\\annotations\\182.png", + "caption": " 1. This is a black and white semantic map of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a long and winding crack that is mostly vertical but has some horizontal and diagonal branches. The crack is about 10 pixels wide." + }, + { + "image": "training\\annotations\\183.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large area of interconnected cracks with various orientations. The cracks are generally thin and elongated, with some areas of wider cracks." + }, + { + "image": "training\\annotations\\184.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 1024x1024 pixels.\n5. The semantic map is a white curve against a black background. The curve is a closed loop with a few branches. The curve is generally horizontal, but it has a few sharp turns." + }, + { + "image": "training\\annotations\\185.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white line against a black background. The line is thick and has a few branches. It is oriented diagonally from the top left corner to the bottom right corner of the image." + }, + { + "image": "training\\annotations\\186.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. The dataset is Crack500.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a tree-like structure with three branches. The main branch is vertical and the two smaller branches are at the bottom of the main branch and extend diagonally in opposite directions." + }, + { + "image": "training\\annotations\\188.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the top left corner to the bottom right corner of the image. The crack is approximately 10 pixels wide at its widest point." + }, + { + "image": "training\\annotations\\19.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 1024x1024 pixels.\n5. The semantic map shows a nearly horizontal crack with a slight downward trend. The crack is relatively straight, but has some small deviations from a straight line." + }, + { + "image": "training\\annotations\\190.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the top left corner to the bottom right corner of the image. The crack is approximately 10 pixels wide at its widest point." + }, + { + "image": "training\\annotations\\191.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is oriented vertically in the center of the image and several smaller cracks that branch off from it. The main crack has a width of approximately 10 pixels at its widest point, and the smaller cracks have a width of approximately 5 pixels at their widest point." + }, + { + "image": "training\\annotations\\192.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512 x 512 pixels.\n5. The semantic map has a complex trend and shape, with multiple branches and intersections. The main branch is about 300 pixels long and 10 pixels wide, and it runs from the top left corner of the image to the bottom right corner. There are also several smaller branches that connect to the main branch. The branches are all different widths and lengths, and they run in different directions." + }, + { + "image": "training\\annotations\\194.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has three main branches. The main branch is oriented horizontally and has two smaller branches that are oriented diagonally in the top-left and bottom-right corners of the image, respectively. The diagonal branches are connected to the main branch at roughly 45-degree angles." + }, + { + "image": "training\\annotations\\195.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a few cracks. The main crack is in the middle and it is surrounded by some small cracks. The main crack is about 30 pixels wide and it is about 100 pixels long. The small cracks are about 10 pixels wide and they are about 50 pixels long." + }, + { + "image": "training\\annotations\\198.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a Y-shape, with two cracks meeting at a point and then continuing in different directions. The left crack is relatively straight, while the right crack is more curved." + }, + { + "image": "training\\annotations\\199.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white curve with a width of 10 pixels. The curve is oriented horizontally across the image, with a slight downward trend." + }, + { + "image": "training\\annotations\\2.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a long and winding shape, with many branches and curves." + }, + { + "image": "training\\annotations\\20.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white curve against a black background. The curve is a closed loop that starts and ends at the same point. The curve is not smooth, but has many small bumps and wiggles." + }, + { + "image": "training\\annotations\\200.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512 x 512 pixels.\n5. The semantic map is a long and winding crack that runs vertically down the center of the image. The crack is mostly straight, but it does have a few small bends and curves." + }, + { + "image": "training\\annotations\\201.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 1024x1024 pixels.\n5. The semantic map shows a nearly horizontal crack with small and medium-sized branches. The main crack is about 100 pixels wide, and the branches are about 50 pixels wide." + }, + { + "image": "training\\annotations\\202.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map shows a single long and thin crack that is oriented diagonally from the top left corner to the bottom right corner of the image. The crack is mostly straight but has a slight curve to the left." + }, + { + "image": "training\\annotations\\203.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a complex trend and shape, with multiple branches and intersections. The main branch of the crack runs vertically down the center of the image, with several smaller branches running off to the left and right. The crack is also very thin, with an average width of only a few pixels." + }, + { + "image": "training\\annotations\\205.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that runs vertically down the center of the image, and two smaller cracks that branch off from the main crack at right angles. The main crack is about 10 pixels wide, and the smaller cracks are about 5 pixels wide." + }, + { + "image": "training\\annotations\\206.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, which is part of the Crack500 dataset. \n2. Crack500\n3. The semantic map is located in the center of the image. \n4. The size of the semantic map is 500x500 pixels. \n5. The semantic map has a long and thin shape, with a few small branches. The main body of the crack is oriented vertically." + }, + { + "image": "training\\annotations\\207.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white line with a width of 5 pixels. The line is curved and has a few branches." + }, + { + "image": "training\\annotations\\208.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large area of connected cracks with two main branches. The main cracks are thick and have many small branches. The cracks are mostly oriented horizontally and vertically." + }, + { + "image": "training\\annotations\\209.png", + "caption": " 1. This is a Crack500 semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500\n3. The Crack500 semantic map is located at the center of the image.\n4. The Crack500 semantic map is 256x256 pixels.\n5. The Crack500 semantic map has a single large crack that is nearly vertical, and there are some smaller cracks that branch off of it at various points." + }, + { + "image": "training\\annotations\\210.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map is a white curve against a black background. The curve is a closed loop that starts in the upper left corner of the image, goes down to the center, then up to the top right corner, and finally down to the bottom right corner. The curve is about 10 pixels wide." + }, + { + "image": "training\\annotations\\211.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that runs diagonally across the image from the top left corner to the bottom right corner. The crack is surrounded by smaller cracks that run in various directions." + }, + { + "image": "training\\annotations\\212.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map shows a large number of cracks in the pavement. The cracks are mostly thin and vertical, but there are also some that are thicker and horizontal. The cracks are distributed throughout the entire image, but there are more of them in the center." + }, + { + "image": "training\\annotations\\213.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that runs diagonally from the top left corner to the bottom right corner of the image. The crack is about 10 pixels wide and has a jagged edge. There are also two smaller cracks that branch off from the main crack. One of the smaller cracks runs from the top left corner of the image to the center, and the other smaller crack runs from the bottom left corner of the image to the center." + }, + { + "image": "training\\annotations\\214.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the top left corner to the bottom right corner of the image. The crack is approximately 10 pixels wide at its widest point." + }, + { + "image": "training\\annotations\\216.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a nearly horizontal crack that is thick in the middle and gets thinner towards the ends, with a slight curve upwards." + }, + { + "image": "training\\annotations\\217.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 256x256 pixels.\n5. The semantic map is a long and thin vertical line with a few small branches." + }, + { + "image": "training\\annotations\\219.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has three main branches. The two branches on the left side of the image are relatively straight, while the branch on the right side of the image is curved. The branches are all connected to each other at the top of the image." + }, + { + "image": "training\\annotations\\22.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a long and winding shape, with multiple branches and intersections." + }, + { + "image": "training\\annotations\\220.png", + "caption": " 1. This is a black and white semantic map of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map has a long and winding shape, with many sharp turns. The crack is relatively thin, with an average width of 5 pixels." + }, + { + "image": "training\\annotations\\221.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 1024x1024 pixels.\n5. The semantic map is a white curve against a black background. The curve is thick and has a few branches. It is oriented horizontally across the image." + }, + { + "image": "training\\annotations\\222.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 1024x1024 pixels.\n5. The semantic map shows a nearly horizontal crack that is thick in the middle and gets thinner towards the ends." + }, + { + "image": "training\\annotations\\223.png", + "caption": " 1. This is a Crack500 semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 128x128 pixels.\n5. The semantic map shows a single large crack that is oriented horizontally across the image. The crack has a fairly uniform width and exhibits some minor jaggedness." + }, + { + "image": "training\\annotations\\224.png", + "caption": " 1. This is a black-and-white semantic map (groundtrue (GT)) of a pavement crack image, which is part of the Crack500 dataset. \n2. Crack500\n3. The semantic map is located at the center of the image. \n4. The size of the semantic map is 512x512 pixels. \n5. The semantic map is a thin and long strip that is oriented horizontally across the image. The strip has many small and sharp bends and turns, and it resembles a snake." + }, + { + "image": "training\\annotations\\226.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map shows a large number of cracks in the pavement. The cracks are mostly thin and short, but there are also some that are wide and long. The cracks are oriented in all directions." + }, + { + "image": "training\\annotations\\227.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a long and winding shape, with a few branches. The crack is thick in the middle and gets thinner towards the ends." + }, + { + "image": "training\\annotations\\229.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has two large cracks and several small cracks. The large cracks are nearly parallel and both have a \"C\" shape. The small cracks are scattered around the two large cracks." + }, + { + "image": "training\\annotations\\230.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map shows a large crack that is oriented diagonally from the top left corner to the bottom right corner of the image. The crack is mostly straight, but it has a few small bends." + }, + { + "image": "training\\annotations\\231.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white line with a width of 5 pixels. The line is curved and has a few branches." + }, + { + "image": "training\\annotations\\232.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, which shows the location of the crack in the image.\n2. Crack500\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a long, thin, and winding line that runs from the top left corner of the image to the bottom right corner." + }, + { + "image": "training\\annotations\\233.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 1024x1024 pixels.\n5. The semantic map is a white line with a width of 5 pixels. The line is curved and has a few branches." + }, + { + "image": "training\\annotations\\234.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a complex shape and contains many small branches. The main body of the crack is a long, winding line that runs from the top left corner of the image to the bottom right corner. The crack has many small branches that extend from the main body in all directions." + }, + { + "image": "training\\annotations\\236.png", + "caption": " 1. This is a Crack500 semantic map of a pavement crack image, which is a binary image with white indicating the location of pavement cracks and black indicating the background.\n2. Crack500\n3. The Crack500 semantic map is located at the center of the image.\n4. The Crack500 semantic map is 256x256 pixels.\n5. The Crack500 semantic map shows a single large crack that starts in the upper left corner of the image, curves down and to the right, and then curves back up and to the left before ending in the lower right corner of the image." + }, + { + "image": "training\\annotations\\237.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. The dataset is Crack500.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white line with a width of 5 pixels. The line is curved and has a few branches." + }, + { + "image": "training\\annotations\\24.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that runs diagonally from the top left corner to the bottom right corner of the image. The crack is widest in the middle and tapers off at the ends. There are also several smaller cracks that branch off from the main crack." + }, + { + "image": "training\\annotations\\241.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a long and thin vertical line, with a few small branches." + }, + { + "image": "training\\annotations\\243.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, which is part of the Crack500 dataset. \n2. Crack500\n3. The semantic map is located at the center of the image. \n4. The size of the semantic map is 512 x 512 pixels. \n5. The semantic map has a long and winding shape, with several sharp turns. The crack is thick in the middle and gets thinner towards the ends." + }, + { + "image": "training\\annotations\\244.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the top left corner to the bottom right corner of the image. The crack is approximately 10 pixels wide at its widest point." + }, + { + "image": "training\\annotations\\245.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has two main branches. The first branch starts from the top left corner of the image, goes down, and then turns right. The second branch starts from the middle of the left edge of the image, goes down, and then turns left. Both branches end at the bottom right corner of the image." + }, + { + "image": "training\\annotations\\246.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a long and winding shape, and it is oriented diagonally from the top left corner to the bottom right corner of the image." + }, + { + "image": "training\\annotations\\247.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is nearly vertical, and there are some other small diagonal cracks at the bottom left corner of the map." + }, + { + "image": "training\\annotations\\248.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map has a complex trend and shape, with many small cracks and large cracks. The cracks are mostly vertical and horizontal, with some diagonal cracks. The cracks are also of varying widths, with some cracks being very thin and others being quite wide." + }, + { + "image": "training\\annotations\\25.png", + "caption": " 1. This is a black-and-white image of a semantic map (groundtrue (GT)) of a pavement crack.\n2. Crack500.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a long, thin crack that runs horizontally across the image. The crack is jagged and has a few branches." + }, + { + "image": "training\\annotations\\250.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map shows a large crack that runs diagonally from the top left corner to the bottom right corner of the image. The crack is about 10 pixels wide and has a jagged edge. There are also several smaller cracks that branch off from the main crack." + }, + { + "image": "training\\annotations\\251.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 768 x 768 pixels.\n5. The semantic map shows a large crack that starts from the bottom left corner of the image, goes up, and then curves to the right. The crack is about 10 pixels wide." + }, + { + "image": "training\\annotations\\252.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 1024x1024 pixels.\n5. The semantic map is a white line with a width of 10 pixels. The line is curved and has a few branches. The line starts from the top left corner of the image, goes down, and then curves to the right. It ends at the bottom right corner of the image." + }, + { + "image": "training\\annotations\\253.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 256x256 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the bottom left corner of the image to the top right corner. The crack is about 10 pixels wide at its widest point." + }, + { + "image": "training\\annotations\\254.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a binary image, with white pixels indicating the location of pavement cracks and black pixels indicating the background. The cracks are thin and elongated, and they run in various directions." + }, + { + "image": "training\\annotations\\255.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map has a complex trend and shape, with several branches and intersections. The main branch of the crack runs from the top left corner of the image to the bottom right corner, with several smaller branches running off of it. The crack is also very wide in some places and very narrow in others." + }, + { + "image": "training\\annotations\\256.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a nearly vertical main crack line with several small branches. The main crack line starts from the top center of the image, goes downward, and ends at the bottom center of the image. There is a small branch that goes upward from the main crack line to the top-left corner of the image. There are two small branches that go downward from the main crack line. One goes to the bottom-left corner of the image, and the other goes to the bottom-right corner of the image." + }, + { + "image": "training\\annotations\\257.png", + "caption": " 1. This is a black-and-white semantic map of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is nearly vertical, with a slight curve to the right." + }, + { + "image": "training\\annotations\\258.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a long and winding shape, with several branches. The branches are generally oriented from top-left to bottom-right." + }, + { + "image": "training\\annotations\\259.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map is a thin, curvilinear line that is oriented diagonally from the top left corner to the bottom right corner of the image." + }, + { + "image": "training\\annotations\\26.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a nearly horizontal crack that is thick in the middle and gets thinner towards the ends, with a slight curve upwards." + }, + { + "image": "training\\annotations\\262.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 1024x1024 pixels.\n5. The semantic map shows a long and winding crack with an average width of 10 pixels. The crack is oriented horizontally across the image." + }, + { + "image": "training\\annotations\\263.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512 x 512 pixels.\n5. The semantic map has a long and winding shape, with a few sharp turns." + }, + { + "image": "training\\annotations\\265.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located on the right side of the image.\n4. The size of the semantic map is 500 x 500 pixels.\n5. The semantic map has a long and winding shape, and it is oriented diagonally from the top right corner to the bottom left corner of the image." + }, + { + "image": "training\\annotations\\266.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large, curved crack that runs diagonally across the image. The crack is widest in the middle and tapers off at the ends." + }, + { + "image": "training\\annotations\\267.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 256x256 pixels.\n5. The semantic map is a white curve with a width of 3 pixels. The curve starts at the left edge of the image, goes up and then curves down to the right edge of the image." + }, + { + "image": "training\\annotations\\268.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map shows a large number of small, interconnected cracks. The cracks are generally oriented in a horizontal or vertical direction." + }, + { + "image": "training\\annotations\\269.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map is a white line with a width of 5 pixels. The line is curved and has a few branches." + }, + { + "image": "training\\annotations\\27.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512 x 512 pixels.\n5. The semantic map has a long and narrow shape, with a few small branches. The main body of the crack is oriented vertically and located in the center of the image, with two small branches near the top and bottom of the crack." + }, + { + "image": "training\\annotations\\270.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a \"Y\" shape, with three branches. The two smaller branches are at the top of the \"Y\" and the larger branch is at the bottom. The branches are all connected at the center of the \"Y\"." + }, + { + "image": "training\\annotations\\271.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 1024x1024 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the top left corner to the bottom right corner of the image. The crack is approximately 100 pixels wide at its widest point." + }, + { + "image": "training\\annotations\\272.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the top left corner to the bottom right corner of the image. The crack is approximately 10 pixels wide at its widest point." + }, + { + "image": "training\\annotations\\273.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white line with a width of 5 pixels. The line is curved and has a few branches. The line starts from the top left corner of the image and ends at the bottom right corner of the image." + }, + { + "image": "training\\annotations\\274.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is oriented diagonally from the top left corner to the bottom right corner of the image. The crack is mostly straight, but it has a few small bends." + }, + { + "image": "training\\annotations\\276.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white line with a width of 5 pixels. The line is curved and has a few branches. The line is oriented from the bottom left to the top right of the image." + }, + { + "image": "training\\annotations\\277.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 256x256 pixels.\n5. The semantic map is a white curve against a black background. The curve is a closed shape with a few sharp turns." + }, + { + "image": "training\\annotations\\278.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a long and winding shape, with several branches. The branches are generally oriented from left to right." + }, + { + "image": "training\\annotations\\279.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white line that is 10 pixels wide and follows a curvilinear path from left to right across the image." + }, + { + "image": "training\\annotations\\28.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white line with a width of 5 pixels. The line is curved and has a few branches." + }, + { + "image": "training\\annotations\\280.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map shows a large crack that starts from the top left corner of the image, goes down, and then curves to the right. The crack is about 10 pixels wide." + }, + { + "image": "training\\annotations\\281.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a curvilinear shape that is oriented horizontally across the image. The map is mostly white, with some thin black lines representing the cracks in the pavement." + }, + { + "image": "training\\annotations\\282.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a nearly horizontal crack with a slight downward trend. The crack is very thin and exhibits relatively high sinuosity." + }, + { + "image": "training\\annotations\\283.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a tree-like structure with three branches. The main branch is vertical and the other two branches are at the top of the main branch and extend diagonally in the left and right directions, respectively." + }, + { + "image": "training\\annotations\\285.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. The dataset is Crack500.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 256x256 pixels.\n5. The semantic map has two main cracks. The first crack is a vertical crack that starts at the top of the image and goes down to the middle. The second crack is a horizontal crack that starts at the middle of the image and goes to the right." + }, + { + "image": "training\\annotations\\286.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located on the right side of the image.\n4. The size of the semantic map is 512 x 512 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the top left corner to the bottom right corner of the image. The crack is about 10 pixels wide at its widest point." + }, + { + "image": "training\\annotations\\287.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 224 x 224 pixels.\n5. The semantic map has a long and winding shape, with a few sharp turns. It is approximately 10 pixels wide at its widest point and 2 pixels wide at its narrowest point." + }, + { + "image": "training\\annotations\\288.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white curve against a black background. The curve is a closed loop that starts in the upper left corner of the image and ends in the lower right corner. The curve is made up of a series of small, straight lines that are connected at sharp angles." + }, + { + "image": "training\\annotations\\289.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white line with a width of 5 pixels. The line is curved and has a few branches." + }, + { + "image": "training\\annotations\\290.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows two parallel cracks that are curved and have different widths. The left crack is wider than the right crack, and both cracks are oriented diagonally from the top left corner to the bottom right corner of the image." + }, + { + "image": "training\\annotations\\291.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a single large crack that is nearly vertical, with a slight curve to the right. The crack is widest at the top and gets thinner as it goes down, ending in a \"T\" shape at the bottom." + }, + { + "image": "training\\annotations\\293.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 256x256 pixels.\n5. The semantic map has a long and winding shape, with many sharp turns. The crack is thick in the middle and gets thinner towards the ends." + }, + { + "image": "training\\annotations\\294.png", + "caption": " 1. This is a Crack500 semantic map of a pavement crack image, which is a binary image with white pixels indicating the location of the crack and black pixels indicating the background.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The semantic map is 128 pixels wide and 128 pixels high.\n5. The crack has a winding and twisting trend, and is approximately 10 pixels wide." + }, + { + "image": "training\\annotations\\295.png", + "caption": " 1. This is a Crack500 semantic map of a pavement crack image, which is a binary image with white indicating the location of pavement cracks and black indicating the background.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map shows a single large crack that starts at the bottom left corner of the image, curves upward to the top center, and then curves back down to the bottom right corner. The crack is about 10 pixels wide at its widest point." + }, + { + "image": "training\\annotations\\296.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the top left corner to the bottom right corner of the image. The crack is approximately 10 pixels wide at its widest point." + }, + { + "image": "training\\annotations\\3.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the top left to the bottom right of the image. The crack is mostly straight, but it has a few small bends." + }, + { + "image": "training\\annotations\\30.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that runs diagonally from the top left corner of the image to the bottom right corner. The crack is about 10 pixels wide and has a rough, jagged edge." + }, + { + "image": "training\\annotations\\301.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 256x256 pixels.\n5. The semantic map is a long and thin vertical line, with a few small branches." + }, + { + "image": "training\\annotations\\302.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map shows a large crack that runs diagonally from the top left corner to the bottom right corner of the image. The crack is about 10 pixels wide and has a jagged, irregular shape." + }, + { + "image": "training\\annotations\\303.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 1024x1024 pixels.\n5. The semantic map has a long and winding shape, with many sharp turns. The crack is thick in the middle and gets thinner towards the ends." + }, + { + "image": "training\\annotations\\304.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a single large crack that is oriented diagonally from the top left corner to the bottom right corner of the image. The crack is mostly straight, with a slight curve near the top." + }, + { + "image": "training\\annotations\\306.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map has a long and winding shape, with many sharp turns. The crack is about 40 pixels wide at its widest point and runs diagonally from the top left corner of the image to the bottom right corner." + }, + { + "image": "training\\annotations\\308.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a long and thin crack that runs vertically down the center of the image. The crack is jagged and has a few small branches." + }, + { + "image": "training\\annotations\\309.png", + "caption": " 1. This is a black and white semantic map of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 1024x1024 pixels.\n5. The semantic map shows a single crack that is nearly horizontal and meandering across the image." + }, + { + "image": "training\\annotations\\31.png", + "caption": " 1. This is a black-and-white image of a semantic map (groundtrue (GT)) of a pavement crack.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white line with varying thickness that is curved in a semi-circle shape." + }, + { + "image": "training\\annotations\\310.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is oriented diagonally from the top left corner to the bottom right corner of the image. The crack is widest in the middle and has several branches." + }, + { + "image": "training\\annotations\\311.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is nearly vertical, and several smaller diagonal cracks that branch off from it." + }, + { + "image": "training\\annotations\\312.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a single, long, nearly vertical crack that is thick in the middle and tapers at both ends." + }, + { + "image": "training\\annotations\\313.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the top left corner to the bottom right corner of the image. The crack is approximately 10 pixels wide." + }, + { + "image": "training\\annotations\\314.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a long and winding shape, with several branches and sharp turns." + }, + { + "image": "training\\annotations\\316.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 1024x1024 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the top left corner to the bottom right corner of the image. The crack is approximately 100 pixels wide at its widest point." + }, + { + "image": "training\\annotations\\317.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512 x 512 pixels.\n5. The semantic map shows a nearly horizontal crack that is thick in the middle and gets thinner towards the ends, with a slight curve upwards." + }, + { + "image": "training\\annotations\\318.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a single nearly horizontal crack that is thick in the middle and tapers at the ends." + }, + { + "image": "training\\annotations\\32.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512 x 512 pixels.\n5. The semantic map shows two parallel cracks that are nearly vertical and have many small branches. The two main cracks are connected at the bottom." + }, + { + "image": "training\\annotations\\320.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512 x 512 pixels.\n5. The semantic map is a white curve that is oriented horizontally across the center of the image. The curve is not straight, but has a slight \"S\" shape." + }, + { + "image": "training\\annotations\\321.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the bottom left to the top right of the image. The crack is approximately 10 pixels wide at its widest point." + }, + { + "image": "training\\annotations\\322.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 1024x1024 pixels.\n5. The semantic map has a long and winding shape, with many sharp turns. The crack is thick in the middle and gets thinner towards the ends." + }, + { + "image": "training\\annotations\\324.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512 x 512 pixels.\n5. The semantic map shows a long, thin crack that runs vertically down the center of the image. The crack is jagged and has a few branches." + }, + { + "image": "training\\annotations\\326.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 256x256 pixels.\n5. The semantic map has a winding trend and a \"V\" shape." + }, + { + "image": "training\\annotations\\327.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a thin, white, curvilinear line that is oriented horizontally across the image." + }, + { + "image": "training\\annotations\\328.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 256x256 pixels.\n5. The semantic map is a white line with a width of 8 pixels. The line is curved and has a few branches. The line starts at the top left corner of the image and ends at the bottom right corner of the image." + }, + { + "image": "training\\annotations\\329.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512 x 512 pixels.\n5. The semantic map shows a single crack that is nearly vertical, with a slight curve to the right. The crack is about 10 pixels wide at the top and bottom, and 15 pixels wide in the middle." + }, + { + "image": "training\\annotations\\33.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512 x 512 pixels.\n5. The semantic map has a long and winding shape, with a few sharp turns." + }, + { + "image": "training\\annotations\\330.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a long and winding shape that resembles a river. The river branches out in two directions in the middle." + }, + { + "image": "training\\annotations\\333.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a complex shape with many branches and curves. The overall trend of the semantic map is diagonal from the bottom left to the top right." + }, + { + "image": "training\\annotations\\334.png", + "caption": " 1. This is a black and white semantic map of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map shows a large number of cracks in the pavement, which are mostly parallel and have different widths." + }, + { + "image": "training\\annotations\\337.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the top left corner to the bottom right corner of the image. The crack is also in a zigzag pattern." + }, + { + "image": "training\\annotations\\338.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512 x 512 pixels.\n5. The semantic map shows a large crack that starts from the top left corner of the image, goes down, and then splits into two parts at the bottom. The left part of the crack goes down and then curves to the left, while the right part of the crack goes down and then curves to the right." + }, + { + "image": "training\\annotations\\339.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that runs diagonally from the top left corner to the bottom right corner of the image, and two smaller cracks that branch off from the main crack. The main crack has a width of 10 pixels and the two smaller cracks have a width of 5 pixels." + }, + { + "image": "training\\annotations\\34.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a complex trend and shape, with multiple branches and intersections." + }, + { + "image": "training\\annotations\\340.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a complex trend and shape, with many small cracks and large cracks. The cracks are mostly vertical and horizontal, with some diagonal cracks. The cracks are also of varying widths, with some cracks being very thin and others being quite wide." + }, + { + "image": "training\\annotations\\341.png", + "caption": " 1. This is a black-and-white image of a semantic map (groundtrue (GT)) of a pavement crack.\n2. Crack500\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 128x128 pixels.\n5. The semantic map is a thin, horizontal line that is curved in the middle." + }, + { + "image": "training\\annotations\\342.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has three main branches. The main branch is vertical and goes from the top of the image to the bottom. One secondary branch goes from left to right at the top of the main branch, and the other secondary branch goes from right to left at the bottom of the main branch." + }, + { + "image": "training\\annotations\\343.png", + "caption": " 1. This is a Crack500 semantic map (groundtrue (GT)) of a pavement crack image, which is a binary image with white indicating the location of cracks and black indicating the background. \n2. Crack500\n3. The semantic map is located at the center of the image. \n4. The size of the semantic map is 512x512 pixels. \n5. The semantic map has a long, thin, diagonal crack that starts from the top left corner and goes down to the bottom right corner, and there is a smaller diagonal crack that branches off from the top right corner of the main crack and goes down to the middle of the image." + }, + { + "image": "training\\annotations\\344.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 256x256 pixels.\n5. The semantic map has a long and winding shape, with several branches. The crack is thick in the middle and gets thinner towards the ends." + }, + { + "image": "training\\annotations\\346.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a thin, elongated, and curvilinear object that is oriented horizontally across the image." + }, + { + "image": "training\\annotations\\348.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 256x256 pixels.\n5. The semantic map has a triangular shape with three branches. The overall trend of the branches is diagonal from the bottom left corner to the top right corner. Two branches meet at the bottom of the triangle, and the third branch splits off to the left from about the middle of the triangle." + }, + { + "image": "training\\annotations\\349.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has two main branches. The upper branch is relatively straight, while the lower branch is curved. The branches are connected by a small curve." + }, + { + "image": "training\\annotations\\35.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has two main branches. The left branch is relatively straight, while the right branch has two sharp turns." + }, + { + "image": "training\\annotations\\350.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a tree-like structure with three main branches. The branches are connected to each other at the center of the image. The branches are of different lengths and widths. The longest branch is about 200 pixels long and the shortest branch is about 100 pixels long. The branches are all about 10 pixels wide." + }, + { + "image": "training\\annotations\\351.png", + "caption": " 1. This is a black and white semantic map (groundtruth (GT)) of a pavement crack image, which shows a large crack with small branches.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The crack has a V-shape and is oriented vertically." + }, + { + "image": "training\\annotations\\353.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map shows a single crack that is approximately 400 pixels long and 20 pixels wide. The crack is oriented at a 45-degree angle from the horizontal." + }, + { + "image": "training\\annotations\\355.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 320x320 pixels.\n5. The semantic map is a white curve that is oriented diagonally from the top left corner to the bottom right corner of the image. The curve is smooth and has a few small bumps along its length." + }, + { + "image": "training\\annotations\\356.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 1024x1024 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the top left corner to the bottom right corner of the image. The crack is approximately 100 pixels wide at its widest point." + }, + { + "image": "training\\annotations\\357.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that runs horizontally across the image. The crack is thick and has a jagged edge." + }, + { + "image": "training\\annotations\\358.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a four-way pavement crack. The main crack is nearly vertical, and there are three diagonal cracks branching off of it." + }, + { + "image": "training\\annotations\\36.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has two main branches. The upper branch is relatively straight, while the lower branch is curved. The branches are connected by a small curve." + }, + { + "image": "training\\annotations\\360.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white tree-like structure against a black background, with two main branches. The main tree trunk is nearly vertical, spanning from the bottom center to the top center of the image. At the top center of the image, the tree trunk splits into two branches, with the left branch going slightly left and up, and the right branch going almost horizontally to the right." + }, + { + "image": "training\\annotations\\361.png", + "caption": " 1. This is a Crack500 semantic map of a pavement crack image, which is a binary image where white pixels indicate the presence of a crack and black pixels indicate the absence of a crack.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows two parallel cracks that are nearly vertical." + }, + { + "image": "training\\annotations\\362.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map shows a large number of cracks in the pavement. The cracks are mostly thin and short, but there are also some that are wide and long. The cracks are oriented in all directions." + }, + { + "image": "training\\annotations\\363.png", + "caption": " 1. This is a black and white semantic map of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is oriented diagonally from the bottom left to the top right of the image. The crack is fairly wide at the bottom and gets thinner as it goes up, and there are some smaller cracks branching off of it." + }, + { + "image": "training\\annotations\\364.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 1024x1024 pixels.\n5. The semantic map shows a nearly horizontal crack that is thick in the middle and gets thinner towards the ends, with a slight curve upwards." + }, + { + "image": "training\\annotations\\366.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a long and winding shape, with many branches and offshoots. The crack is thick in the middle and gets thinner towards the two ends." + }, + { + "image": "training\\annotations\\368.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 256x256 pixels.\n5. The semantic map shows two parallel cracks that are nearly vertical, with many small cracks branching off of them at various angles." + }, + { + "image": "training\\annotations\\369.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white line with a width of 5 pixels. The line is curved and has a few branches. The line starts from the bottom left corner of the image, goes up and then curves to the right. It ends at the top right corner of the image." + }, + { + "image": "training\\annotations\\37.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a long, thin, vertical line that is slightly curved toward the left." + }, + { + "image": "training\\annotations\\372.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white line with a Y-shape in the center. The line is 10 pixels wide." + }, + { + "image": "training\\annotations\\373.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has two main branches. The upper branch is relatively straight, while the lower branch is curved. The branches are connected by a small branch in the middle." + }, + { + "image": "training\\annotations\\374.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large, nearly horizontal crack that starts from the left edge of the image, goes diagonally toward the right, and then curves down toward the right edge of the image. The crack is about 15 pixels wide at its widest point." + }, + { + "image": "training\\annotations\\375.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that runs diagonally from the top left corner to the bottom right corner of the image. The crack is widest in the middle and has several branches." + }, + { + "image": "training\\annotations\\376.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a tree-like structure with three main branches. The branches are connected to each other at the center of the image. The branches are of different lengths and widths. The longest branch is about 200 pixels long and the shortest branch is about 100 pixels long. The branches are all about 10 pixels wide." + }, + { + "image": "training\\annotations\\377.png", + "caption": " 1. This is a Crack500 semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a linear trend and a rectangular shape." + }, + { + "image": "training\\annotations\\378.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a tree-like structure with three main branches. The branches are formed by a series of small cracks that are connected to each other. The cracks are of different widths and lengths." + }, + { + "image": "training\\annotations\\379.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the top left corner to the bottom right corner of the image. The crack is approximately 10 pixels wide at its widest point." + }, + { + "image": "training\\annotations\\38.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the top left corner to the bottom right corner of the image. The crack is approximately 10 pixels wide at its widest point." + }, + { + "image": "training\\annotations\\380.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 256x256 pixels.\n5. The semantic map has a Y-shape, with two cracks meeting at a point and then continuing in different directions." + }, + { + "image": "training\\annotations\\381.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white line with a width of 1-3 pixels. The line is curved and has a few branches. The line is oriented from the top left corner of the image to the bottom right corner of the image." + }, + { + "image": "training\\annotations\\382.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a long and winding shape, and it is oriented diagonally from the top left corner to the bottom right corner of the image." + }, + { + "image": "training\\annotations\\383.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the bottom left corner of the image to the top right corner. The crack is approximately 10 pixels wide." + }, + { + "image": "training\\annotations\\384.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 256x256 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the top left corner to the bottom right corner of the image. The crack is approximately 10 pixels wide at its widest point." + }, + { + "image": "training\\annotations\\385.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 1024x1024 pixels.\n5. The semantic map shows a nearly horizontal crack that is thick in the middle and gets thinner towards the ends, with small branches." + }, + { + "image": "training\\annotations\\386.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a complex trend and shape, with multiple branches and intersections. The main body is composed of three large curved shapes that are connected by multiple curved lines. There are also many small curved lines branching off from the main body." + }, + { + "image": "training\\annotations\\388.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that runs diagonally from the top left corner to the bottom right corner of the image. The crack is mostly straight, but it has a few small bends in it. The crack is also relatively wide, and it is surrounded by a thin line of white pixels." + }, + { + "image": "training\\annotations\\389.png", + "caption": " 1. This is a Crack500 semantic map (groundtrue (GT)) of a pavement crack image, which is a binary image with white pixels indicating the location of the crack and black pixels indicating the background.\n2. Crack500\n3. The semantic map is located in the center of the image.\n4. The semantic map is 128 pixels wide and 128 pixels high.\n5. The crack has a general upward trend and is fairly straight." + }, + { + "image": "training\\annotations\\39.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The upper-left corner of the semantic map is located at the upper-left corner of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map consists of two parallel curvilinear objects that are white and have different shapes. The upper object is relatively straight, while the lower object has many bends." + }, + { + "image": "training\\annotations\\391.png", + "caption": " 1. This is a Crack500 semantic map of a pavement crack image, which is a binary image with white pixels indicating the location of cracks and black pixels indicating the background.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map has a long and winding shape, with multiple branches and intersections." + }, + { + "image": "training\\annotations\\392.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map shows a large number of cracks in the pavement. The cracks are mostly vertical and horizontal, but there are also some diagonal cracks. The cracks are of varying widths, and some of them are quite long." + }, + { + "image": "training\\annotations\\393.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a complex trend and shape, with many small and large cracks running in different directions. The cracks are mostly thin, but some are wider. The cracks are also mostly straight, but some are curved." + }, + { + "image": "training\\annotations\\395.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512 x 512 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the bottom left corner to the top right corner of the image. The crack is about 10 pixels wide at its widest point." + }, + { + "image": "training\\annotations\\396.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a long and winding shape, with a few branches. The crack is thick in the middle and gets thinner towards the ends." + }, + { + "image": "training\\annotations\\397.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map has two main cracks. The first crack is a horizontal line that starts at the left edge of the image and ends at the right edge of the image. The second crack is a vertical line that starts at the top of the image and ends at the bottom of the image." + }, + { + "image": "training\\annotations\\398.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white curve with a width of 1-3 pixels. The curve is oriented horizontally and meanders from left to right across the image." + }, + { + "image": "training\\annotations\\4.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the top left corner to the bottom right corner of the image. The crack is approximately 10 pixels wide and has a fairly consistent width throughout its length." + }, + { + "image": "training\\annotations\\40.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a single large crack that is oriented diagonally from the bottom left corner of the image to the top right corner. The crack is widest in the middle and tapers off at the ends." + }, + { + "image": "training\\annotations\\41.png", + "caption": " 1. This is a black-and-white image of a semantic map (groundtrue (GT)) of a pavement crack.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a long and winding shape, with a few branches. The crack is thick in the middle and at the bottom, but is thin at the top." + }, + { + "image": "training\\annotations\\43.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a four-way pavement crack. The cracks are thin and have a rough texture. The cracks are oriented horizontally, vertically, and diagonally." + }, + { + "image": "training\\annotations\\44.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large number of cracks in the pavement. The cracks are mostly thin and short, but there are also some that are wide and long. The cracks are oriented in all directions." + }, + { + "image": "training\\annotations\\45.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map shows a nearly horizontal crack that is thick in the middle and gets thinner towards the ends, with a slight curve upwards." + }, + { + "image": "training\\annotations\\47.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 1024x1024 pixels.\n5. The semantic map is a white line with a width of 10 pixels. The line is curved and has a few branches." + }, + { + "image": "training\\annotations\\48.png", + "caption": " 1. This is a Crack500 semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 128x128 pixels.\n5. The semantic map is a white line with a width of 3 pixels. The line is curved and has a few small branches." + }, + { + "image": "training\\annotations\\49.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that runs diagonally from the top left corner to the bottom right corner of the image. The crack is mostly straight, but it has a few small branches." + }, + { + "image": "training\\annotations\\5.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512 x 512 pixels.\n5. The semantic map shows a long and thin crack with a slight curve towards the right. The crack is about 10 pixels wide at its widest point and runs diagonally from the top left corner of the image to the bottom right corner." + }, + { + "image": "training\\annotations\\50.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 1024x1024 pixels.\n5. The semantic map is a thin, horizontal line that is mostly straight but has some small bends and kinks." + }, + { + "image": "training\\annotations\\51.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white line with a width of 5 pixels. The line is curved and has a few branches. The line starts from the top left corner of the image and ends at the bottom right corner of the image." + }, + { + "image": "training\\annotations\\52.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that starts from the top left corner of the image, goes down, turns right, and then goes up a little bit. The crack is about 10 pixels wide." + }, + { + "image": "training\\annotations\\55.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. The dataset is Crack500.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a long and winding shape, with several branches. The branches are generally thin, but there are a few thicker areas. The overall trend of the semantic map is from the top left corner to the bottom right corner." + }, + { + "image": "training\\annotations\\59.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 768 x 768 pixels.\n5. The semantic map is a white, curvilinear object that is oriented horizontally across the image. The object is 384 pixels long and has an average width of 16 pixels." + }, + { + "image": "training\\annotations\\6.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white curve with a width of 10 pixels. The curve starts at the top left corner of the image, and extends to the bottom right corner. The curve has a few small branches." + }, + { + "image": "training\\annotations\\60.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map has a complex shape with many branches and intersections. The cracks are generally oriented horizontally and vertically, with some diagonal cracks." + }, + { + "image": "training\\annotations\\61.png", + "caption": " 1. This is a Crack500 semantic map (groundtrue (GT)) of a pavement crack image;\n2. Crack500;\n3. Center of the image;\n4. 512 x 512;\n5. The semantic map is a white curve against a black background. The curve is a thin line that is not connected at both ends." + }, + { + "image": "training\\annotations\\62.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that starts from the left side of the image, goes down, and then turns right. The crack is about 10 pixels wide." + }, + { + "image": "training\\annotations\\63.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a complex trend and shape, with many small cracks and large cracks. The cracks are mostly vertical and horizontal, with some diagonal cracks. The cracks are also of varying widths, with some cracks being very thin and others being quite wide." + }, + { + "image": "training\\annotations\\64.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 1024x1024 pixels.\n5. The semantic map shows a large curvilinear crack that is oriented horizontally across the image. The crack has a high degree of curvature and is relatively wide." + }, + { + "image": "training\\annotations\\65.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 1024x1024 pixels.\n5. The semantic map is a white line with a width of 10 pixels. The line is not straight, but has a slight curve to it." + }, + { + "image": "training\\annotations\\66.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, which shows a single crack.\n2. Crack500\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The crack is nearly vertical, and it is about 10 pixels wide at the widest point." + }, + { + "image": "training\\annotations\\67.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. The dataset is Crack500.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white curve against a black background. The curve is a closed loop that starts in the lower left corner of the image, goes up and to the right, and then comes back down to the lower right corner. The curve is about 10 pixels wide." + }, + { + "image": "training\\annotations\\68.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a complex trend and shape, with many small cracks and large cracks. The cracks are mostly vertical and horizontal, with some diagonal cracks. The cracks are also of varying widths, with some cracks being very thin and others being quite wide." + }, + { + "image": "training\\annotations\\69.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a long and thin vertical line, with a few small branches." + }, + { + "image": "training\\annotations\\70.png", + "caption": " 1. This is a black-and-white semantic map (groundtrue (GT)) of pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The upper-left corner of the image.\n4. 256 x 256 pixels.\n5. The image has two large curved cracks and two small curved cracks. The two large cracks are connected to each other. The two small cracks are not connected to each other or the large cracks." + }, + { + "image": "training\\annotations\\72.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a nearly horizontal crack that is locally almost straight, but globally curved and resembles the letter 'U'." + }, + { + "image": "training\\annotations\\73.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map shows two parallel cracks that are diagonal to the image. The two cracks are connected by a small horizontal crack in the middle." + }, + { + "image": "training\\annotations\\75.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the top left corner to the bottom right corner of the image. The crack is approximately 10 pixels wide at its widest point." + }, + { + "image": "training\\annotations\\76.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 1024x1024 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the top left corner to the bottom right corner of the image. The crack is approximately 100 pixels wide at its widest point." + }, + { + "image": "training\\annotations\\77.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image, which is part of the Crack500 dataset. \n2. Crack500.\n3. The semantic map is located at the center of the image. \n4. The size of the semantic map is 512x512 pixels. \n5. The semantic map shows a single crack that is nearly horizontal but with small bends and variations in its trend. The crack is relatively straight in the middle but has many small bends towards the two ends, and the right end has a relatively large bend." + }, + { + "image": "training\\annotations\\78.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, and the white part is the crack;\n2. Crack500;\n3. Center of the image;\n4. 128 * 512;\n5. The crack is a thin and long strip that is slightly curved and runs horizontally across the image." + }, + { + "image": "training\\annotations\\79.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack with a main branch and several smaller branches. The main branch is about 200 pixels long and 10 pixels wide, and the smaller branches are about 50-100 pixels long and 5 pixels wide. The crack is oriented at a 45-degree angle." + }, + { + "image": "training\\annotations\\8.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512 x 512 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the top left corner to the bottom right corner of the image. The crack is about 10 pixels wide at its widest point." + }, + { + "image": "training\\annotations\\80.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 256x256 pixels.\n5. The semantic map is a white line on a black background. The line is thick and has a few branches. The line is curved and goes from the top left corner of the image to the bottom right corner." + }, + { + "image": "training\\annotations\\84.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a long and winding shape, with several branches. The crack is thick in the middle and gets thinner towards the two ends." + }, + { + "image": "training\\annotations\\86.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that starts from the bottom left corner of the image, goes up, turns right, and then goes down. The crack is about 10 pixels wide." + }, + { + "image": "training\\annotations\\88.png", + "caption": " 1. This is a Crack500 semantic map of a pavement crack image, which is a binary image with white pixels indicating the location of cracks and black pixels indicating the background.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 128x128 pixels.\n5. The semantic map shows a single crack that is oriented horizontally across the image. The crack is not straight, but has a slight curve to it." + }, + { + "image": "training\\annotations\\89.png", + "caption": " 1. This is a black-and-white image of a semantic map (groundtrue (GT)) of a pavement crack.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 1024x1024 pixels.\n5. The semantic map is a long and winding line that is mostly horizontal but with several sharp turns." + }, + { + "image": "training\\annotations\\9.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512 x 512 pixels.\n5. The semantic map shows a nearly vertical crack that is approximately 140 pixels long and 1-2 pixels wide, and the crack is not straight but has a slight \"S\" shape." + }, + { + "image": "training\\annotations\\90.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that runs diagonally from the top left corner to the bottom right corner of the image. The crack is about 10 pixels wide at its widest point." + }, + { + "image": "training\\annotations\\91.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map is a white line that is 5 pixels wide and follows the trend of the crack in the pavement. The crack starts in the upper left corner of the image and goes down and to the right, ending in the lower right corner of the image." + }, + { + "image": "training\\annotations\\93.png", + "caption": " 1. This is a Crack500 semantic map of a pavement crack image, which is a binary image where white pixels indicate the presence of a crack and black pixels indicate the absence of a crack.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map shows two parallel cracks that meander across the image." + }, + { + "image": "training\\annotations\\96.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a complex trend and shape, with multiple cracks running in different directions. The main crack runs from the bottom left corner of the image to the top right corner, with several smaller cracks branching off from it. The cracks are of varying widths, with some being very thin and others being quite wide." + }, + { + "image": "training\\annotations\\97.png", + "caption": " 1. This is a black-and-white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500.\n3. Center.\n4. 256 x 256.\n5. The semantic map is a white tree-like structure against a black background. The tree-like structure has two main branches that extend from the top center down and then curve outward. There are smaller branches that extend from the main branches." + }, + { + "image": "training\\annotations\\98.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 1024x1024 pixels.\n5. The semantic map is a white curve against a black background. The curve is a closed loop that starts in the lower left corner of the image and ends in the upper right corner. The curve is not smooth, but has many small bumps and wiggles along its length." + }, + { + "image": "training\\annotations\\99.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the top left corner to the bottom right corner of the image. The crack is approximately 10 pixels wide at its widest point." + }, + { + "image": "test\\images\\102.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background of the image is a grey asphalt pavement." + }, + { + "image": "test\\images\\105.jpg", + "caption": " 1. A close-up image of a crack on an asphalt road.\n2. Crack500.\n3. The crack is located in the middle of the image and runs diagonally from the top left corner to the bottom right corner.\n4. The crack is approximately 10 inches long and 1/4 inch wide.\n5. The crack is a straight line with a slight curve at the top.\n6. The background of the image is a close-up of an asphalt road with small pebbles." + }, + { + "image": "test\\images\\111.jpg", + "caption": " 1. This is an image of a crack in asphalt.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long and 1/4 inch wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background is grey asphalt with small pebbles." + }, + { + "image": "test\\images\\113.jpg", + "caption": " 1. A close-up image of a crack in an asphalt pavement.\n2. Crack500.\n3. The crack is located in the center of the image and runs diagonally from the top left corner to the bottom right corner.\n4. The crack is approximately 1.5 inches wide at its widest point and 10 inches long.\n5. The crack is fairly straight with some minor jagged edges.\n6. The background of the image is a close-up of an asphalt pavement with small pebbles." + }, + { + "image": "test\\images\\116.jpg", + "caption": " 1. A close-up image of a crack in an asphalt pavement.\n2. Crack500.\n3. The crack is located in the center of the image.\n4. The crack is approximately 1.5 inches wide and 10 inches long.\n5. The crack is linear and has a slight curve to the right.\n6. The background of the image is a close-up of an asphalt pavement with small pebbles." + }, + { + "image": "test\\images\\120.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background is a close-up of asphalt pavement with small pebbles." + }, + { + "image": "test\\images\\123.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "test\\images\\128.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches wide.\n5. The crack is linear and runs diagonally from the top left corner of the image to the bottom right corner.\n6. The background of the image is grey asphalt pavement." + }, + { + "image": "test\\images\\144.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.; 2. Crack500; 3. The crack is located in the middle of the image; 4. The crack is about 1.5 inches wide; 5. The crack is linear and runs horizontally across the image; 6. The background is grey asphalt pavement with small pebbles." + }, + { + "image": "test\\images\\149.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image and is oriented diagonally from the top left corner to the bottom right corner.\n4. The crack is approximately 10 inches long and 0.25 inches wide.\n5. The crack is a single, continuous crack with a relatively smooth surface. The crack is widest in the middle and tapers off at the ends.\n6. The background of the image is a close-up of asphalt pavement with small pebbles and a few grass blades visible." + }, + { + "image": "test\\images\\154.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long and 1/4 inch wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background of the image is grey asphalt pavement." + }, + { + "image": "test\\images\\168.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long and 0.25 inches wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background is grey asphalt pavement with small pebbles." + }, + { + "image": "test\\images\\17.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches wide.\n5. The crack is linear and runs horizontally across the image.\n6. The background of the image is asphalt pavement." + }, + { + "image": "test\\images\\180.jpg", + "caption": " 1. This is an image of a crack in an asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 30 cm long and 1 cm wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background is a close-up of an asphalt pavement with small pebbles." + }, + { + "image": "test\\images\\193.jpg", + "caption": " 1. A close-up image of a single large crack in a grey concrete slab.\n2. Crack500.\n3. The crack is located in the center of the image.\n4. The crack is approximately 20 cm long and 1 mm wide.\n5. The crack is fairly straight with a slight curve to the right. The crack is open along its entire length.\n6. The background of the image is grey concrete with small pebbles." + }, + { + "image": "test\\images\\197.jpg", + "caption": " 1. A close-up image of a single crack on an asphalt road surface.\n2. Crack500.\n3. The crack is located in the middle of the image and runs horizontally from left to right.\n4. The crack is approximately 10 inches long and 1/4 inch wide.\n5. The crack is relatively straight with some minor jagged edges.\n6. The background is a close-up of an asphalt road surface with small pebbles and a few small cracks." + }, + { + "image": "test\\images\\204.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 1 cm wide.\n5. The crack is a straight line with a slight curve at the end.\n6. The background of the image is asphalt." + }, + { + "image": "test\\images\\21.jpg", + "caption": " 1. This is an image of a crack on an asphalt road surface.\n2. Crack500 dataset.\n3. The crack is located in the middle of the image.\n4. The crack is approximately 10 cm long and 1 cm wide.\n5. The crack is a thin, meandering ing line that runs horizontally across the image.\n6. The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "test\\images\\239.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "test\\images\\242.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.; 2. Crack500; 3. The crack is located in the middle of the image; 4. The crack is about 1.5 inches wide; 5. The crack is linear and runs horizontally across the image; 6. The background is a close-up of asphalt pavement." + }, + { + "image": "test\\images\\249.jpg", + "caption": " 1. This is an image of a crack in an asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long and 1/4 inch wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background is a close-up of an asphalt pavement with small pebbles." + }, + { + "image": "test\\images\\260.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches long.\n5. The crack is a thin, vertical line that is slightly curved.\n6. The background is a grey, pebbled asphalt road surface." + }, + { + "image": "test\\images\\261.jpg", + "caption": " 1. This is an image of a crack on an asphalt road surface.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches wide.\n5. The crack is a thin, nearly straight line that runs horizontally across the image.\n6. The background is a close-up of an asphalt road surface." + }, + { + "image": "test\\images\\264.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches wide.\n5. The crack is a single, continuous crack that runs horizontally across the image. The crack has a slight curve to the right.\n6. The background of the image is asphalt pavement." + }, + { + "image": "test\\images\\284.jpg", + "caption": " 1. This is an image of a crack in asphalt; 2. Crack500; 3. The crack is located in the middle of the image; 4. The crack is about 1/4 inch wide and 12 inches long; 5. The crack is linear and runs horizontally across the image; 6. The background is a close-up of a grey asphalt road." + }, + { + "image": "test\\images\\292.jpg", + "caption": " 1. This is an image of a crack on an asphalt pavement surface.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches long.\n5. The crack is a thin, linear feature with a slightly meandering trend.\n6. The background of the image is a close-up of an asphalt pavement surface." + }, + { + "image": "test\\images\\298.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image and runs diagonally from the top left corner to the bottom right corner.\n4. The crack is approximately 1/4 inch wide and 12 inches long.\n5. The crack is linear with a slight curve to the right.\n6. The background is a close-up of asphalt pavement with small pebbles and some larger rocks." + }, + { + "image": "test\\images\\300.jpg", + "caption": " 1. A close-up image of a crack in asphalt.\n2. Crack500.\n3. The crack is located in the center of the image.\n4. The crack is approximately 1/4 inch wide and 2 inches long.\n5. The crack is linear and runs diagonally from the top left corner of the image to the bottom right corner.\n6. The background of the image is a close-up of asphalt." + }, + { + "image": "test\\images\\307.jpg", + "caption": " 1. A close-up image of a crack in asphalt.\n2. Crack500.\n3. The crack is located in the middle of the image and runs diagonally from the top left corner to the bottom right corner.\n4. The crack is approximately 1/4 inch wide and 12 inches long.\n5. The crack is linear and has a jagged edge.\n6. The background of the image is grey asphalt with small pebbles." + }, + { + "image": "test\\images\\315.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches wide.\n5. The crack is linear and runs diagonally across the image.\n6. The background of the image is gray asphalt pavement." + }, + { + "image": "test\\images\\319.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement; 2. Crack500; 3. The crack is located in the middle of the image; 4. The crack is about 1.5 inches wide and 8 inches long; 5. The crack is jagged and has a Y shape; 6. The background is grey asphalt pavement." + }, + { + "image": "test\\images\\325.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement; 2. Crack500; 3. The crack is located in the middle of the image; 4. The crack is approximately 1.5 inches long; 5. The crack is a thin, straight line that runs horizontally across the image; 6. The background is a close-up of a grey asphalt pavement with small pebbles." + }, + { + "image": "test\\images\\331.jpg", + "caption": " 1. A close-up image of a single crack on an asphalt road surface.\n2. Crack500.\n3. The crack is located in the center of the image.\n4. The crack is approximately 30 cm long and 1 cm wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background of the image is a close-up of an asphalt road surface." + }, + { + "image": "test\\images\\332.jpg", + "caption": " 1. This is an image of a crack in an asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches wide.\n5. The crack is linear and runs horizontally across the image.\n6. The background is a close-up of an asphalt pavement with small pebbles." + }, + { + "image": "test\\images\\335.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background is a close-up of asphalt pavement with small pebbles." + }, + { + "image": "test\\images\\336.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 2 mm wide.\n5. The crack is a straight line with a slight curve to the right. The crack is a surface crack.\n6. The background is a grey asphalt pavement." + }, + { + "image": "test\\images\\345.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.; 2. Crack500; 3. The crack is located in the middle of the image; 4. The crack is approximately 1.5 inches wide; 5. The crack is linear and runs horizontally across the image; 6. The background is a close-up of asphalt pavement." + }, + { + "image": "test\\images\\352.jpg", + "caption": " 1. This is an image of a concrete pavement with multiple alligator cracks.; 2. Crack500; 3. The cracks are located at the center of the image.; 4. The cracks are about 1.5 inches wide.; 5. The cracks are interconnected and have a random pattern.; 6. The background of the image is grey concrete." + }, + { + "image": "test\\images\\354.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background of the image is a grey asphalt pavement." + }, + { + "image": "test\\images\\365.jpg", + "caption": " 1. A close-up image of a crack in an asphalt pavement.\n2. Crack500.\n3. The crack is located in the center of the image.\n4. The crack is approximately 10 inches long and 0.25 inches wide.\n5. The crack is linear and runs vertically down the center of the image.\n6. The background of the image is a close-up of an asphalt pavement with small pebbles and is in focus." + }, + { + "image": "test\\images\\367.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 2 mm wide.\n5. The crack is linear and has a zigzag shape.\n6. The background is a grey asphalt pavement." + }, + { + "image": "test\\images\\370.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long.\n5. The crack is a thin, winding and twisting, with a slight zigzag pattern.\n6. The background of the image is a grey asphalt pavement." + }, + { + "image": "test\\images\\390.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long.\n5. The crack is a thin, curved line that runs vertically down the image.\n6. The background is a grey asphalt road." + }, + { + "image": "test\\images\\394.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1/4 inch wide and 12 inches long.\n5. The crack is linear and runs horizontally across the image.\n6. The background of the image is grey asphalt pavement." + }, + { + "image": "test\\images\\54.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 inches long and 1 inch wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background of the image is gray asphalt pavement." + }, + { + "image": "test\\images\\56.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches long and 0.25 inches wide.\n5. The crack is linear and has a slight curve to the right.\n6. The background of the image is gray asphalt pavement." + }, + { + "image": "test\\images\\82.jpg", + "caption": " 1. A close-up image of a concrete surface with a large crack running diagonally from the top left corner to the bottom right corner; 2. Crack500; 3. The crack starts at the top left corner of the image and runs diagonally to the bottom right corner; 4. The crack is approximately 1.5 inches wide at its widest point and 10 inches long; 5. The crack is relatively straight with some minor jagged edges; 6. The background of the image is a grey concrete surface with small pebbles embedded in it." + }, + { + "image": "test\\images\\83.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is about 10 cm long and 1 mm wide.\n5. The crack is a thin, curved line that runs horizontally across the image.\n6. The background is a grey, pebbled asphalt road surface." + }, + { + "image": "test\\images\\92.jpg", + "caption": " 1. This is an image of a crack in asphalt pavement.\n2. Crack500\n3. The crack is located in the middle of the image.\n4. The crack is approximately 1.5 inches long.\n5. The crack is a thin, winding and twisting, with a slight curve to the right.\n6. The background is a grey asphalt pavement with small pebbles." + }, + { + "image": "test\\images\\95.jpg", + "caption": " 1. This is an image of a pavement crack.\n2. Crack500.\n3. The crack is located in the middle of the image.\n4. The crack is about 1.5 inches long.\n5. The crack is a thin, curved line that runs diagonally across the image.\n6. The background is a grey asphalt pavement." + }, + { + "image": "test\\annotations\\102.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map shows a large number of cracks in the pavement. The cracks are mostly thin and short, but there are also some that are wide and long. The cracks are oriented in all directions." + }, + { + "image": "test\\annotations\\105.png", + "caption": " 1. This is a black-and-white semantic map (groundtrue (GT)) of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is oriented diagonally from the top left corner to the bottom right corner of the image. The crack is approximately 10 pixels wide at its widest point and 2 pixels wide at its narrowest point. The crack has a rough, jagged texture." + }, + { + "image": "test\\annotations\\111.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map shows a long and winding crack with an average width of 10 pixels. The crack is oriented diagonally from the top left corner to the bottom right corner of the image." + }, + { + "image": "test\\annotations\\113.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512 x 512 pixels.\n5. The semantic map shows a nearly vertical crack that forks into two nearly horizontal cracks at the bottom; the left horizontal crack is longer than the right horizontal crack." + }, + { + "image": "test\\annotations\\116.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 1024x1024 pixels.\n5. The semantic map shows a long and thin crack that is oriented vertically." + }, + { + "image": "test\\annotations\\120.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white curve against a black background. The curve is a closed loop that starts and ends at the top of the image. The curve has a few sharp turns, but is otherwise smooth." + }, + { + "image": "test\\annotations\\123.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is oriented vertically and has a jagged shape." + }, + { + "image": "test\\annotations\\128.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a long and winding crack that runs diagonally from the top left corner of the image to the bottom right corner. The crack is mostly straight, but it does have a few small bends and curves." + }, + { + "image": "test\\annotations\\144.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is in the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the bottom left corner to the top right corner of the image. The crack is about 10 pixels wide at its widest point." + }, + { + "image": "test\\annotations\\149.png", + "caption": " 1. This is a black and white image of a semantic map (groundtrue (GT)) of a pavement crack.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map shows a large crack that is running diagonally from the top right corner to the bottom left corner of the image. The crack is about 10 pixels wide at its widest point." + }, + { + "image": "test\\annotations\\154.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a long and winding shape, with several branches. The overall trend of the semantic map is from the top left corner to the bottom right corner." + }, + { + "image": "test\\annotations\\168.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512 x 512 pixels.\n5. The semantic map shows a single large crack that is oriented diagonally across the pavement from the bottom left corner to the top right corner. The crack is approximately 10 pixels wide at its widest point and has a fairly smooth, but not perfectly straight, shape." + }, + { + "image": "test\\annotations\\17.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white line that is 15 pixels wide and 512 pixels long. The line is curved and has a few small branches." + }, + { + "image": "test\\annotations\\180.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a long and winding crack that runs vertically down the center of the image. The crack is widest at the top and narrows as it goes down. There are two small branches coming off the main crack, one on the left and one on the right." + }, + { + "image": "test\\annotations\\193.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a long and thin vertical line, with a slight curve to the right. The line is white on a black background." + }, + { + "image": "test\\annotations\\197.png", + "caption": " 1. This is a Crack500 semantic map of a pavement crack image, which is a binary image with white indicating the location of the crack and black indicating the background.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 1024x1024 pixels.\n5. The semantic map has a long and winding shape, with multiple branches and intersections." + }, + { + "image": "test\\annotations\\204.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows three main cracks. The first crack is a horizontal line that runs across the center of the image. The second crack is a vertical line that runs down the left side of the image. The third crack is a diagonal line that runs from the top right corner of the image to the bottom left corner." + }, + { + "image": "test\\annotations\\21.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 1024x1024 pixels.\n5. The semantic map is a white line with a mean trend that goes down and then up. The line has many small and sharp bends." + }, + { + "image": "test\\annotations\\239.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map has a complex trend and shape, with many small cracks and large cracks. The cracks are mostly vertical and horizontal, with some diagonal cracks. The cracks are also of varying widths, with some cracks being very thin and others being quite wide." + }, + { + "image": "test\\annotations\\242.png", + "caption": " 1. This is a black and white semantic map of a pavement crack image, with white indicating the location of the crack;\n2. Crack500;\n3. The semantic map is located at the center of the image;\n4. The size of the semantic map is 512x512 pixels;\n5. The semantic map shows a single long and thin crack that runs diagonally from the top left corner to the bottom right corner of the image." + }, + { + "image": "test\\annotations\\249.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 1024x1024 pixels.\n5. The semantic map shows a single crack that is nearly horizontal but with many small bends and turns; the crack is thick and varies in width along its length." + }, + { + "image": "test\\annotations\\260.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512 x 512 pixels.\n5. The semantic map has two main branches. The upper branch is longer and straighter than the lower branch. The upper branch first goes upward and then turns right, while the lower branch first goes downward and then turns left." + }, + { + "image": "test\\annotations\\261.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white line with a width of 3 pixels. The line is curved and has a few branches. The line starts at the left edge of the image and ends at the right edge of the image." + }, + { + "image": "test\\annotations\\264.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a nearly horizontal crack that is fairly uniform in width." + }, + { + "image": "test\\annotations\\284.png", + "caption": " 1. This is a grayscale image of a semantic map (groundtrue (GT)) of a pavement crack.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 1024x1024 pixels.\n5. The semantic map has a long and winding shape, with many small branches and cracks. The main body of the crack is oriented horizontally across the image, but the crack branches out in many directions." + }, + { + "image": "test\\annotations\\292.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is oriented diagonally from the top left corner to the bottom right corner of the image. The crack is about 10 pixels wide." + }, + { + "image": "test\\annotations\\298.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the top left corner to the bottom right corner of the image. The crack is mostly straight, but there are a few small bends in it." + }, + { + "image": "test\\annotations\\300.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 256x256 pixels.\n5. The semantic map shows a tree-like structure with two main branches. The branches are connected at the top and bottom of the image. The branches are made up of small, curved lines." + }, + { + "image": "test\\annotations\\307.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white line that is 1-3 pixels wide. The line is curved and has a few branches. The line is oriented diagonally from the top left corner of the image to the bottom right corner." + }, + { + "image": "test\\annotations\\315.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that starts from the left-top corner of the image, goes diagonally downward to the right-bottom corner, and then turns upward and ends at the right-top corner of the image. The crack is about 10 pixels wide." + }, + { + "image": "test\\annotations\\319.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a single large crack that starts from the bottom left corner of the image, goes up, and then curves to the right. The crack is about 10 pixels wide at its widest point." + }, + { + "image": "test\\annotations\\325.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that runs diagonally from the top left corner to the bottom right corner of the image. The crack is about 10 pixels wide at its widest point." + }, + { + "image": "test\\annotations\\331.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image, which is part of the Crack500 dataset.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map shows a single crack that is nearly straight but has small bends and variations in width." + }, + { + "image": "test\\annotations\\332.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map shows two parallel cracks with a slight bend running horizontally across the image, and the cracks are several pixels wide." + }, + { + "image": "test\\annotations\\335.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. The dataset is Crack500.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the top left corner to the bottom right corner of the image. The crack is approximately 10 pixels wide at its widest point." + }, + { + "image": "test\\annotations\\336.png", + "caption": " 1. This is a black and white semantic map of two parallel cracks on asphalt pavement;\n2. Crack500;\n3. Center of the image;\n4. 512 x 512 pixels;\n5. Two parallel and near-vertical linear features with an average width of 4 pixels." + }, + { + "image": "test\\annotations\\345.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. The dataset is Crack500.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a nearly horizontal crack that is thick in the middle and gets thinner towards the ends, with a slight curve upwards." + }, + { + "image": "test\\annotations\\352.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 500x500 pixels.\n5. The semantic map has a complex trend and shape, with many small cracks and large cracks. The cracks are mostly vertical and horizontal, with some diagonal cracks. The cracks are also of varying widths, with some cracks being very thin and others being quite wide." + }, + { + "image": "test\\annotations\\354.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white curve against a black background. The curve is a closed loop with a few branches. The curve is thick and has a rough texture." + }, + { + "image": "test\\annotations\\365.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 256x256 pixels.\n5. The semantic map has a long and narrow shape, with a few small branches. The main body of the crack is oriented vertically, and there are some smaller cracks that branch off from it at various angles." + }, + { + "image": "test\\annotations\\367.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that starts from the top left corner of the image, goes down, and then splits into two branches. The left branch continues to go down and then turns right, while the right branch goes up and then turns left. Both branches end at the bottom of the image." + }, + { + "image": "test\\annotations\\370.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the top left corner to the bottom right corner of the image. The crack is approximately 10 pixels wide at its widest point." + }, + { + "image": "test\\annotations\\390.png", + "caption": " 1. This is a Crack500 semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 256x256 pixels.\n5. The semantic map shows a tree-like structure with two main branches. The branches are connected by a thin, curved line." + }, + { + "image": "test\\annotations\\394.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a single crack that is nearly horizontal and meandering." + }, + { + "image": "test\\annotations\\54.png", + "caption": " 1. This is a black-and-white semantic map of a pavement crack image, where white pixels indicate the location of pavement cracks.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large V-shaped crack with two small branches. The main crack is about 150 pixels long and 10 pixels wide, and the two branches are about 50 pixels long and 5 pixels wide." + }, + { + "image": "test\\annotations\\56.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a complex shape with many branches and intersections. The main crack runs diagonally from the top left corner to the bottom right corner, with several smaller cracks branching off from it." + }, + { + "image": "test\\annotations\\82.png", + "caption": " 1. This is a black and white semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located in the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that runs vertically down the center of the image, with smaller cracks branching off to the left and right." + }, + { + "image": "test\\annotations\\83.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. The dataset is Crack500.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map has a horizontal trend and a curvilinear shape." + }, + { + "image": "test\\annotations\\92.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map is a white line with a width of 1-3 pixels. The line is curved and has a few branches. The line is generally oriented from the top left corner of the image to the bottom right corner of the image." + }, + { + "image": "test\\annotations\\95.png", + "caption": " 1. This is a semantic map (groundtrue (GT)) of a pavement crack image.\n2. Crack500 dataset.\n3. The semantic map is located at the center of the image.\n4. The size of the semantic map is 512x512 pixels.\n5. The semantic map shows a large crack that is trending diagonally from the top left corner to the bottom right corner of the image. The crack is approximately 10 pixels wide at its widest point." + } +] \ No newline at end of file diff --git a/dataset_curvilinear/unprocessed_json/retina.json b/dataset_curvilinear/unprocessed_json/retina.json new file mode 100644 index 0000000000000000000000000000000000000000..18512a065ebe4f283ef5adbad586f95166bb933f --- /dev/null +++ b/dataset_curvilinear/unprocessed_json/retina.json @@ -0,0 +1,546 @@ +[ + { + "image": "CHASEDB1\\training\\images\\0img.png", + "caption": "High-resolution fundus photography of a human retina displaying central and peripheral vasculature; 2. CHASEDB1 dataset; 3. The curvilinear objects (vessels) are centrally located, radiating outwards from the optic disc towards the periphery, with decreasing caliber; 4. The vessels range from large central arteries and veins near the optic disc to fine capillary networks towards the edges, varying from approximately 100 to 300 micrometers in diameter; 5. The vessels mainly follow an arched, branching pattern, with main vessels bifurcating into smaller branches, exhibiting a tree-like structure; 6. The background comprises a gradient of orange to red shades, characteristic of the retinal pigment epithelium and choroid." + }, + { + "image": "CHASEDB1\\training\\images\\10img.png", + "caption": "Detailed image of a human retina showcasing a complex network of blood vessels radiating from the optic disc.CHASEDB1 dataset.Blood vessels are distributed throughout the image, prominently emanating from the optic disc at the center, branching out across the retina.The vessels vary in size, with the larger central retinal vessels being significantly thicker and tapering into narrower arterioles and venules towards the periphery.Blood vessels exhibit a branching, tree-like structure with curvilinear paths; arterioles tend to be narrower and reflect a brighter red color, whereas venules are wider and darker.The background includes the orange to reddish hue of the retinal tissue with variations in pigmentation and brightness." + }, + { + "image": "CHASEDB1\\training\\images\\11img.png", + "caption": "Detailed fundus photograph showcasing branching retinal vessels emanating from the optic disc.CHASEDB1 dataset.Vessels originate from the optic disc at the center, with arterial vessels appearing brighter and thinner while the venous vessels are darker and wider; they radiate outward in a nearly fractal pattern covering the retina.Vessel caliber ranges from less than 100 micrometers for finer arterioles to approximately 150-250 micrometers for the main veins and arteries near the optic disc.Vessels demonstrate a bifurcating pattern trending from central to peripheral retina, with smooth curves and diminishing size as they branch; arteriole-to-venule crossing patterns are evidenced.The background exhibits an orange-red color gradient, uniform retinal pigmentation, and absence of retinal lesions." + }, + { + "image": "CHASEDB1\\training\\images\\12img.png", + "caption": "Detailed fundus photograph displaying the internal surface of the eye, including the retina, retinal vasculature, optic disc, and macula;CHASEDB1 dataset;The curvilinear objects (vessels) originate from the optic disc located centrally and radiate outward in all directions across the retina;The vessels vary in size from larger, wider vessels branching from the optic disc to finer, narrower vessels extending towards the periphery of the retina;The vessels predominantly exhibit a branching, tree-like pattern with arterial vessels being more reflective and brighter in color, while venous vessels tend to be wider and darker; the arterioles and venules show a tapering trend as they bifurcate and reduce in size with distance from the optic disc;The background comprises the orange to red hue of the retinal layers with darker areas indicating the choroidal blood vessels and the lighter orange area representing the macula." + }, + { + "image": "CHASEDB1\\training\\images\\13img.png", + "caption": "High-resolution fundus photograph showing the retinal structure with a central optic disc and branching vessels; 2. CHASEDB1 dataset; 3. Curvilinear objects (vessels) are centrally located, emanating radially from the optic disc; 4. Vessel size varies from 0 (capillary level) to larger calibers over 100 microns in diameter; branching vessels taper off as they extend peripherally; 5. Vessels exhibit a branching tree-like pattern with arterioles appearing brighter and narrower and venules appearing darker and wider; some vessels demonstrate gentle curvature, while others make sharper turns; bifurcations and crossover points are evident; 6. Uniform reddish-orange background with variations due to the retinal pigment epithelium and choroid." + }, + { + "image": "CHASEDB1\\training\\images\\14img.png", + "caption": "High-resolution image of the human retina highlighting its vascular network; 2. CHASEDB1 dataset; 3. Vessels are centrally located, branching radially from the optic disc; 4. Vessels vary in size from thick primary branches to fine capillary networks; 5. Vessels display a bifurcating pattern with smoothly curving trajectories; 6. Homogenous reddish-brown background with darker peripheral areas." + }, + { + "image": "CHASEDB1\\training\\images\\15img.png", + "caption": "High-resolution fundus photograph displaying the human retina with central optic disc and branching retinal vessels; 2. CHASEDB1 dataset; 3. Vessels primarily centralized around the optic disc, radiating outward in a branching pattern, with both main vessels and finer branches throughout; 4. Variable sizes with main vessels being thicker, tapering into finer branches; 5. Trend shows a bifurcating tree-like structure, with the shape of the vessels being tubular and curvilinear, exhibiting a fractal pattern as they branch; 6. Homogeneous reddish-orange retinal background with darker areas representing the retinal pigment epithelium and lighter areas indicating the reflection from the optic disc." + }, + { + "image": "CHASEDB1\\training\\images\\16img.png", + "caption": "High-resolution color fundus photograph displaying the internal surface of the eye including the retina, optic disc, and blood vessels;CHASEDB1 dataset;Curvilinear structures representing the retinal blood vessels predominantly emerge from the optic disc located centrally and branch outwards in all directions over the retinal surface;Vessel size varies significantly; central retinal vessels are broad, becoming progressively finer as they extend toward the peripheral regions of the retina;Vascular pattern shows a hierarchical, arborescent architecture with both arteries and veins extending in a roughly radial fashion; vessels exhibit tortuosity with gentle curves and some bifurcations have acute angles;The background comprises a uniform reddish-orange hue with variations in brightness and texture due to the retinal pigment epithelium and choroid." + }, + { + "image": "CHASEDB1\\training\\images\\17img.png", + "caption": "Detailed retinal image displaying intricate vascular structures; 2. CHASEDB1 dataset; 3. Vessels originate from the optic disc located centrally and extend radially outward across the retina, with arborization and branching visible throughout; 4. Vessel diameters vary, with central retinal vessels being the largest and branching vessels decreasing in size progressively; 5. Vessels exhibit a diverse array of curvilinear patterns, including straight, curved, tortuous, and looping segments, following a hierarchical branching structure; 6. Uniform reddish-orange background, highlighting the retinal vessels." + }, + { + "image": "CHASEDB1\\training\\images\\18img.png", + "caption": "High-resolution color fundus photograph of a human retina showing optic disc, macula, blood vessels, and retinal background.CHASEDB1 dataset.Curvilinear objects (vessels) are distributed throughout the retinal image; emanating radially from the optic disc located centrally and extending towards the periphery of the retina.The size of the curvilinear objects (vessels) varies; the main vessels are prominent and thick near the optic disc, tapering as they branch out; smaller vessels are finer and reduce in caliber as they extend away from the optic disc.Trend and shape include straight and branching vessels with curves and bends; arterioles are lighter and narrower, while venules are darker and wider; branching pattern is complex, with arterioles commonly having a more tortuous route than venules.The background is a consistent, dark orange to reddish hue with variations and mottling due to the underlying choroid and pigmentation of the retinal pigment epithelium." + }, + { + "image": "CHASEDB1\\training\\images\\19img.png", + "caption": "Detailed retinal fundus photograph displaying branching curvilinear structures and optic disc.CHASEDB1 dataset.Vessels are centralized around the optic disc, bifurcating outward across the retina in an arborescent pattern.Vessels vary in caliber; central retinal artery and vein are prominent and thicker, while peripheral arterioles and venules are finer and sparser.Vessels exhibit a tortuous trajectory, with larger vessels following a more direct path and smaller vessels curving gently, creating a fractal-like network.Homogeneous reddish-orange background with variations due to retinal pigmentation and illumination." + }, + { + "image": "CHASEDB1\\training\\images\\1img.png", + "caption": "Fundus photograph showing retinal vasculature and structures;CHASEDB1 dataset;Vessels emanate from the optic disc, located centrally and branching outward radially;Vessels vary in size with central retinal artery and vein being the largest, branching into smaller arterioles and venules visible throughout the retina;Trend is a central to peripheral branching pattern, with vessels tapering in caliber as they extend; arterioles show a bright reflex, and venules are darker and slightly wider; vessels exhibit a tortuous curvilinear shape, more pronounced in the peripheral branches;Background comprises the orange-pinkish hue of the retinal pigment epithelium and darker areas indicating less light reflection." + }, + { + "image": "CHASEDB1\\training\\images\\2img.png", + "caption": "High-resolution fundus photograph displaying the retina, optic disc, and blood vessels.CHASEDB1 dataset.The retinal vessels originate at the optic disc, spread radially outward across the retina, predominantly extending towards the upper and lower poles.The vessels vary in size; central retinal vessels are thicker, approximately one-half to one-third the diameter of the optic disc, tapering to hair-like thinness at the periphery.Vessels demonstrate a branching pattern with a decreasing caliber as they bifurcate; larger vessels follow a relatively straighter path, while smaller branches show tortuosity.The background of the image includes a variation of orange to dark brown tones, representing the retinal pigment epithelium and choroid." + }, + { + "image": "CHASEDB1\\training\\images\\3img.png", + "caption": "High-resolution fundus photograph capturing various retinal features; 2. CHASEDB1 dataset; 3. The curvilinear objects (vessels) are distributed radially from the optic disc throughout the retinal surface, with branch points where vessels bifurcate or trifurcate; 4. Vessel diameters vary, with central retinal vessels being the widest near the optic disc, tapering as they extend peripherally; smaller branches have consistently narrower diameters, and some fine capillary networks are barely resolvable; 5. The vessels demonstrate a variety of curvilinear trends such as arching, looping, and turning; their shape includes straight segments, gentle curves, and more complex tortuous pathways; 6. The background comprises the orange-pink texture of the retinal surface with variations in pigmentation and brightness." + }, + { + "image": "CHASEDB1\\training\\images\\4img.png", + "caption": "High-resolution fundus photograph showing the intricate network of blood vessels in a human eye;CHASEDB1 dataset;Vessels located throughout the retina radiating outward from the optic disc;Vessel size varies from less than a pixel for small capillaries to several pixels for larger arterioles and venules;Vessels exhibit a branching pattern with decreasing caliber as they extend from the central optic disc; some show tortuosity, especially at the periphery;Homogeneous reddish-orange background characteristic of the inner retinal layers." + }, + { + "image": "CHASEDB1\\training\\images\\5img.png", + "caption": "High-resolution image of a human retina displaying a central optic disc, branching blood vessels, and retinal texture.CHASEDB1 dataset.Curvilinear objects (vessels) prominently displayed as branching structures originating from the optic disc, spreading radially across the retina.Vessel size varies: central retinal artery and vein are thicker near the optic disc, tapering as they branch peripherally; smaller arterioles and venules are visible, exhibiting significant variation in diameter.Vessels display a tortuous trend with an intermix of linear and sinuous shapes; arterioles are typically narrower with a brighter red hue indicative of oxygenated blood, while venules are comparatively wider and darker, indicating deoxygenated blood; the overall topology presents a complex vascular network with bifurcations, crossings, and gradual diminution in size away from the optic disc.Background shows a consistent retinal texture with variations in pigmentation and brightness throughout the image, surrounding the retinal vessels and optic disc." + }, + { + "image": "CHASEDB1\\training\\images\\6img.png", + "caption": "High-resolution color fundus photograph of a human retina.CHASEDB1 dataset.Vessels located throughout the retina, with a dense network at the center spreading outwards; the highest concentration around the optic disc and macular region.Vessels range from small capillaries less than 100 micrometers in diameter to larger vessels approximately 100 to 200 micrometers; the central retinal vessel trunk is wider.Vessels exhibit a bifurcating pattern, several branching from the optic disc with arched superior and inferior arcades; they curve and interconnect forming an intricate, almost fractal tree structure; vessels taper as they radiate towards the periphery.Orange to red homogenous background, representing the retinal pigment epithelium." + }, + { + "image": "CHASEDB1\\training\\images\\7img.png", + "caption": "High-resolution color fundus photograph showing the central retina and blood vessels emanating from the optic disc;CHASEDB1 dataset;The vessels are predominantly located around the central region extending radially outward from the optic disc, which is in the center of the image;The size of the vessels varies; the central retinal vein and artery are the largest, becoming progressively finer as they branch out towards the periphery of the image;The vessels display a branching pattern with a mix of straight and tortuous segments; the main vessels bifurcate into smaller branches with tapering caliber, and the vessels exhibit a high degree of curvilinearity with some vessels forming arcades;The background is consistent with the typical appearance of the retinal fundus, displaying a range of orange to red tones with darker areas corresponding to pigmentation and the retinal pigment epithelium." + }, + { + "image": "CHASEDB1\\training\\images\\8img.png", + "caption": "Detailed retinal photograph displaying the central and peripheral retinal structures; 2. CHASEDB1 dataset; 3. Blood vessels originate from the optic disc and branch out across the retina, covering the entire image; 4. Vessels vary from less than 100 micrometers to approximately 200 micrometers in diameter, with central retinal artery and vein being the largest; 5. Blood vessels display a complex arborization with tapering, bifurcating, and converging patterns, exhibiting a fractal-like distribution with both straight and sinuous segments; 6. Homogeneous orange-colored background with subtle variations in pigmentation across the field of view." + }, + { + "image": "CHASEDB1\\training\\images\\9img.png", + "caption": "Detailed fundus photograph capturing the complex network of blood vessels in a human retina; 2. CHASEDB1 dataset; 3. Vessels prominently emerge from the optic disc, branching centripetally and covering the entire retinal surface; 4. Vessel calibers vary, with central retinal vessels being the widest, tapering into narrower arterioles and venules; 5. Arteries exhibit a more consistent, narrower caliber and lighter color with a pulsatile trend, while veins are wider, darker, and follow a sinuous course; 6. Homogeneous reddish-orange background consisting of the retinal layers." + }, + { + "image": "CHASEDB1\\training\\annotations\\0gt.png", + "caption": "This is an image of a semantic map or groundtruth, depicting retinal vessels from an ophthalmologic dataset;The dataset is named CHASEDB1;The semantic map occupies the entire image, centered on a dark background;The size of the semantic map corresponds to the full image dimensions, providing a high-contrast representation suitable for analysis;The semantic map shows a branching tree-like pattern with curves and bifurcations; thinner vessel outlines extend from thicker central vessels, with both straight and curved segments, forming a complex vascular network." + }, + { + "image": "CHASEDB1\\training\\annotations\\10gt.png", + "caption": "Black and white semantic map of retinal vessels, representing the ground truth (GT) for a given retinal image.CHASEDB1 dataset.The semantic map displays a radial distribution of vessels, centralized around the optic disc, covering almost the entire image.The semantic map's size corresponds to the full image resolution, with vessels varying in width from very fine to thicker central vessels.The vessels predominantly extend outward in a curvilinear fashion from a central point; they branch and taper with a varied but smooth gradient in thickness; the shapes are representative of human retinal vasculature with bifurcations and convergence points." + }, + { + "image": "CHASEDB1\\training\\annotations\\11gt.png", + "caption": "This image depicts a high-contrast, black-and-white semantic map representing the retinal vasculature structure as a ground truth (GT) for vessel segmentation;The map is part of the CHASEDB1 dataset;The semantic map is centrally located in the image and spans the entire visual field;The size of the semantic map appears to match the resolution of the image, which is typically 512x512 pixels for CHASEDB1;The vessels exhibit a branching tree-like pattern with a central thick artery bifurcating into progressively finer arterioles and venules, extending radially outwards and curving in various directions, and thinner vessels showing more curvature and complexity than the thicker ones." + }, + { + "image": "CHASEDB1\\training\\annotations\\12gt.png", + "caption": "Black and white semantic map (GT) highlighting the vascular network.CHASEDB1 dataset.Vessels centrally located, radiating outward from the central point.Full-frame coverage of the semantic map within the boundaries of the image.Complex branching pattern with varying curvilinear vessel thickness, predominantly straight with some bifurcations and curving trajectories." + }, + { + "image": "CHASEDB1\\training\\annotations\\13gt.png", + "caption": "Semantic map depicting the vascular structure of a retina, identified as a ground truth (GT) representation;CHASEDB1 dataset;The semantic map is centrally located, with the main vessels branching outward from the optic disc area;The semantic map covers a significant portion of the image canvas but does not reach the edges, leaving a border around the structure;Vessels trend outward in a branching pattern, with varying curvilinear shapes ranging from thick primary vessels to thinner secondary and tertiary branches." + }, + { + "image": "CHASEDB1\\training\\annotations\\14gt.png", + "caption": "A black and white semantic map depicting the detailed structure of retinal vessels; 2. CHASEDB1 dataset; 3. The semantic map centrally located, covering the entire image field; 4. Image size 512x512 pixels; 5. The vessels exhibit branching, curvilinear patterns extending radially from a central focal point, with varying thickness and multiple bifurcation points." + }, + { + "image": "CHASEDB1\\training\\annotations\\15gt.png", + "caption": "Black background with white curvilinear structures representing a semantic map or ground truth (GT) of retinal vessels.CHASEDB1 dataset.The semantic map is centrally located within the image, with the main vascular structure being at the center.The semantic map occupies nearly the entire image space with a high contrast between the vessels and the background.The curvilinear structures show a branching pattern emanating from a central point with progressively thinner vessels; shapes vary from straight to gently curving lines, resembling a tree-like vascular network." + }, + { + "image": "CHASEDB1\\training\\annotations\\16gt.png", + "caption": "The image displays a high-contrast semantic map representing the retinal blood vessel network as curvilinear structures against a uniform dark background, indicating it is a ground truth (GT) representation for vessel segmentation.The dataset from which this GT is derived is named CHASEDB1.The depicted semantic map is centrally located within the image, with the main vessel structure emanating from approximately the center and branching outward towards the periphery.The size of the semantic map is not explicitly given but covers the majority of the image area, with thinner vessels reaching towards the edges and thicker vessels concentrated towards the center.The trend of the semantic map follows typical retinal vascular patterns, with a central thicker vessel bifurcating into progressively thinner branches; the shape of the vessels is predominantly elongated and curvilinear with smooth curves and a few acute angular divergences typical of vascular bifurcations." + }, + { + "image": "CHASEDB1\\training\\annotations\\17gt.png", + "caption": "Black-and-white image displaying a semantic map or ground truth (GT) of retinal blood vessels;From the CHASEDB1 dataset;The semantic map is centrally located in the image with curvilinear objects spreading radially outward from the center to the periphery of the image;The size of the semantic map corresponds to the entire image area;The semantic map shows a dense network of thin and thick curvilinear structures representing blood vessels, with a branching tree-like pattern; the vessels taper as they extend from the center to the edges, and exhibit bifurcations and crossovers." + }, + { + "image": "CHASEDB1\\training\\annotations\\18gt.png", + "caption": "This image is a black and white semantic map representing the ground truth of vascular structures in a retinal image; 2. The map is from the CHASEDB1 dataset; 3. The semantic map is centered, occupying most of the image area with the main vascular branches extending towards the periphery; 4. The size of the semantic map corresponds to the full image resolution, providing a pixel-wise representation of the vessels; 5. The trend of the semantic map shows a complex branching pattern with varying vessel widths, featuring a central thick trunk that bifurcates into numerous thinner branches radiating outward, mimicking the tree-like structure of retinal blood vessels." + }, + { + "image": "CHASEDB1\\training\\annotations\\19gt.png", + "caption": "This image is a black and white semantic map, representing the ground truth for vessels in a retinal image.The dataset is CHASEDB1.The semantic map of vessels is centrally located and occupies the majority of the image space.The size of the semantic map is consistent with the image resolution, exhibiting detailed structure throughout the entire image field.The trend of the semantic map displays a branching pattern emanating from a central point, resembling a tree structure with varying vessel thickness and curvilinearity; primary vessels are thick and straight, while secondary vessels taper and exhibit more curvature." + }, + { + "image": "CHASEDB1\\training\\annotations\\1gt.png", + "caption": "Semantic map (GT) of retinal vessels;CHASEDB1 dataset;Centered, occupying the majority of the image area;High-resolution with clear delineation of vessel paths;Complex network with both thick and thin curvilinear structures, branching patterns, and bifurcation features." + }, + { + "image": "CHASEDB1\\training\\annotations\\2gt.png", + "caption": "This image represents a semantic map or groundtruth (GT) highlighting a network of retinal vessels; 2. CHASEDB1 dataset; 3. The semantic map is centrally located within the image, with vessels extending outward from the center towards the periphery; 4. The size is large enough to cover the majority of the image, featuring a dense cluster of vessels at the center which tapers off into finer branches towards the edges; 5. The trend is a branching pattern originating from the optic disc area, with vessels diverging and bifurcating outwards, diminishing in size as they extend from the central thicker vessels to the peripheral thinner ones, depicting a tree-root-like or dendritic shape." + }, + { + "image": "CHASEDB1\\training\\annotations\\3gt.png", + "caption": "Unfortunately, without additional context or dimensions, I cannot provide specific details such as the exact location or size of the semantic map within the image. However, here is a descriptive caption based on the visible features:This image depicts a semantic map, also known as ground truth (GT), outlining the curvilinear structures of vessels; 2. The dataset is CHASEDB1; 3. The semantic map centrally spans the image, with the densest concentration of outlined vessels in the center, radiating outward towards the periphery; 4. The semantic map occupies the majority of the image frame and the vessel outlines vary in length and thickness; 5. The trend of the semantic map indicates a branching pattern typical of retinal blood vessels, with both primary vessels and finer secondary branches depicted in a realistic tree-like shape." + }, + { + "image": "CHASEDB1\\training\\annotations\\4gt.png", + "caption": "This is a black and white semantic map depicting the vessel network in a retinal image, illustrating a ground truth (GT) for the CHASEDB1 dataset.The image is from the CHASEDB1 dataset.The semantic map is centrally located in the image, with the main vessel structure branching out from the center.The semantic map occupies the majority of the image space, with vessel lines of varying thickness and length extending towards the edges of the image, covering an estimated 95% of the image area.The vessels in the semantic map display a radiating pattern originating from the central optic disc, with primary vessels branching into progressively finer arterioles and venules; the vessels exhibit curvilinear forms that curve and wind across the image canvas." + }, + { + "image": "CHASEDB1\\training\\annotations\\5gt.png", + "caption": "Semantic map (GT) depicting the vascular network of the retina, comprised of white curvilinear structures against a black background;CHASEDB1 dataset;The semantic map occupies the entirety of the square image frame;The image size is 512x512 pixels;Vessels extend radially from a central point with a thicker trunk vessel bifurcating into progressively thinner branches; the curvilinear shapes exhibit a complex branching pattern with varying curvature, lengths, and angles throughout the network." + }, + { + "image": "CHASEDB1\\training\\annotations\\6gt.png", + "caption": "This is a binary semantic map representing the vascular structure of a retinal image, serving as ground truth (GT) for model training.The dataset is CHASEDB1.The semantic map depicts the central retinal vessels emanating from the optic disc located approximately at the center of the image, branching out towards the periphery.The size of the semantic map is uniform and fills the entirety of the image canvas, with the image resolution being 512x512 pixels.The trend of the semantic map shows a fractal-like branching, with primary vessels bifurcating into secondary and tertiary vessels; the vessels taper in width from the optic disc outward, and the shape includes curvilinear segments with varying curvatures and angles." + }, + { + "image": "CHASEDB1\\training\\annotations\\7gt.png", + "caption": "This image is a black and white semantic map or ground truth (GT) representing the vascular structure in a retinal image.The dataset is CHASEDB1.The semantic map is centrally located within the image, covering the majority of the image area with a focus in the center.The size of the semantic map spans almost the entire image, leaving a minimal border around the edge of the image.The curvilinear objects (vessels) depicted have a branching, tree-like structure with varying thickness; the main vessel is thick and central, from which thinner vessels branch out at various angles and curvatures, covering different distances across the image." + }, + { + "image": "CHASEDB1\\training\\annotations\\8gt.png", + "caption": "Black and white image depicting the vascular structure of a retina, representing a groundtruth (GT) segmentation in a semantic map format.CHASEDB1 dataset.The semantic map is centrally located within the image boundaries.The semantic map spans the entire image dimensions.The vessels depicted in the semantic map display a branching, tree-like structure with various curvilinear segments that taper from thicker vessels at the center to thinner vessels towards the periphery; the overall trend shows a fractal-like divergence from the central optical disc region towards the outer edges of the retina." + }, + { + "image": "CHASEDB1\\training\\annotations\\9gt.png", + "caption": "This is a black and white semantic map representing the ground truth (GT) of retinal vessels.Name of the dataset: CHASEDB1.The semantic map is centrally located within the image and covers the entire field of view.The semantic map is high contrast, contains fine details, and spans the entire image at a resolution of 512x512 pixels.Trend and shape: The semantic map displays a branching, tree-like structure of vessels with varying thickness; thicker central vessels radiate outwards and taper into finer branches, mimicking the retinal vasculature pattern." + }, + { + "image": "CHASEDB1\\test\\images\\20img.png", + "caption": "This image depicts an orange-hued fundus photograph showing the internal structures of an eye.The name of the dataset is CHASEDB1.The curvilinear objects, which are blood vessels, emanate from the optic disc located at the center and radiate outwards across the retina.The size of the vessels varies; central vessels near the optic disc are broader, with calibers progressively diminishing towards the periphery.The vessels exhibit a branching pattern, starting as thick trunks that bifurcate into progressively thinner branches with a tortuous course; arteries and veins can be differentiated by their relative size and color nuances.The background is uniform in texture, displaying a gradient from lighter orange around the optic disc to darker orange at the edges." + }, + { + "image": "CHASEDB1\\test\\images\\21img.png", + "caption": "High-resolution fundus photography of a human retina showcasing the vascular network;CHASEDB1 dataset;Vessels primarily located emanating from the optic disc extending radially towards the periphery, bifurcating as they progress with decreasing diameter, with arterial vessels appearing brighter and venous vessels appearing darker;Vessel caliber varies from less than one-tenth of a millimeter for smaller arterioles and venules to approximately one to two millimeters for major vessels near the optic disc;The vessels demonstrate a branching tree structure with arborizing patterns and curving trajectories, exhibiting both smooth curves and more acute angular divergences at bifurcation points;Uniform red-orange background with subtle variations and a bright circular area at the center representing the optic disc." + }, + { + "image": "CHASEDB1\\test\\images\\22img.png", + "caption": "Detailed fundus photography of a human retina; 2. CHASEDB1 dataset; 3. The curvilinear objects, representing blood vessels, originate from the optic disc located centrally and spread out radially across the retina; 4. The sizes of the vessels vary, with the central retinal artery and vein being the thickest, tapering into finer arterioles and venules towards the periphery; 5. The vessels exhibit a tortuous trend with branching and bifurcation patterns, some showing gentle curves whereas others follow a more winding path; 6. The background shows a reddish-orange hue typical of a retinal image with variations in color depth indicating retinal layers and tissue." + }, + { + "image": "CHASEDB1\\test\\images\\23img.png", + "caption": "High-resolution fundus image showcasing a human retina with optic disc and branching blood vessels;CHASEDB1 dataset;Vessels originate from the optic disc at the center, radiate outward in all directions, with higher vessel density near the optic disc and diminishing as they branch out;Vessel diameters vary, with central retinal vessels being thicker (approximately 100-150 micrometers) and branching arterioles and venules being thinner (approximately 10-100 micrometers);The vessels exhibit a bifurcating pattern, with smooth curvilinear paths and some variation in vessel curvature, predominantly following an arched trajectory away from the optic disc;The background is a uniform reddish-orange hue with subtle variations and darker areas corresponding to the retinal pigment epithelium and choroid layers." + }, + { + "image": "CHASEDB1\\test\\images\\24img.png", + "caption": "Retinal fundus photograph presenting a detailed view of the retina's vascular structure and optic disc; 2. CHASEDB1 dataset; 3. Vessels radiate outward from the optic disc located centrally; arterial vessels are narrower and brighter than the surrounding venous vessels; 4. Vessel calibers vary, with arteries being approximately one-third the size of the accompanying veins; 5. Arteries and veins follow a branching pattern, with arterioles showing a straighter course and venules appearing more tortuous; bifurcation points are visible where vessels divide; 6. The background consists of a consistent retinal pigment with variations in shade and a central lighter reflex at the optic disc." + }, + { + "image": "CHASEDB1\\test\\images\\25img.png", + "caption": "Fundus photograph highlighting the internal structures of the eye, including the optic disc and retinal vasculature.CHASEDB1 dataset.Curvilinear objects (vessels) originate at the optic disc and branch out across the retina radially.Vessel diameters vary, with central retinal vessels being larger and tapering as they bifurcate towards the periphery.Vessels exhibit a branching pattern; central vessels are straighter and wider, peripheral vessels curve and narrow, with arterioles typically lighter in color and narrower than venules.Background comprises the retinal tissue with a consistent red-orange hue." + }, + { + "image": "CHASEDB1\\test\\images\\26img.png", + "caption": "Detailed fundus photography showing the intricate network of vessels and the optic disc;CHASEDB1 dataset;Blood vessels are distributed radially from the optic disc, expanding across the retina;Vessels vary in size with the central retinal artery and vein being the largest, tapering into finer arterioles and venules;Vessels exhibit a branching tree-like pattern with arterioles showing a lighter color and narrower shape compared to venules, which appear darker and slightly wider; bifurcations and crossings are present;The background takes on an orange to reddish hue with subtle variations in brightness and texture." + }, + { + "image": "CHASEDB1\\test\\images\\27img.png", + "caption": "Detailed fundus photograph capturing the intricate vascular structure of the retina.CHASEDB1 dataset.Curvilinear objects (vessels) are distributed radially from the optic disc, branching throughout the retina; vessels range from central, thicker vessels to finer peripheral branches.The calibers of the curvilinear objects (vessels) vary, with central retinal arteries and veins being thicker, tapering into finer arterioles and venules towards the periphery.Vessels show a bifurcating pattern; arteries and veins are distinguishable by their differing widths, with arteries generally narrower; vessels display a tortuous course with smooth transitions and gentle curves.Homogeneous reddish-orange background with subtle variations in pigmentation and brightness consistent with the retinal layers." + }, + { + "image": "CHASEDB1\\test\\annotations\\20gt.png", + "caption": "This is a black and white image representing a semantic map or ground truth (GT) highlighting the curvilinear structures which resemble the vasculature network of a retina.The name of the dataset is CHASEDB1.The semantic map is centrally located within the image, occupying most of the image area with a focal convergence point near the center, from which the vessels radiate outward.The size of the semantic map is not specified in pixels, but it takes up nearly the entire square frame of the image, with curvilinear structures varying in thickness.The trend of the semantic map is an intricate branching pattern that resembles a tree-like vascular structure; the shape of the semantic map features curvilinear lines, with primary vessels being thicker and secondary and tertiary branches tapering into thinner lines as they extend outward from the central convergence point." + }, + { + "image": "CHASEDB1\\test\\annotations\\21gt.png", + "caption": "This image is a high-contrast semantic map representing the vascular structure of a retina, rendered as white curvilinear objects against a black background to denote the presence and shape of vessels; it serves as ground truth (GT) for segmentation tasks.The dataset name is CHASEDB1.The semantic map is centrally located in the image, radiating outward from a central point near the middle of the frame.The size of the semantic map is consistent with the full resolution of the image, each vessel line precisely tracked and annotated throughout the entire visual field.The trend of the semantic map shows a branching pattern, with a main vessel bifurcating into progressively smaller vessels and fine capillaries; the shape of the vessels varies from thick primary vessels to delicately thin secondary and tertiary branches, capturing the natural hierarchy and complexity of retinal vasculature." + }, + { + "image": "CHASEDB1\\test\\annotations\\22gt.png", + "caption": "Black-and-white image displaying the semantic map or ground truth (GT) of retinal vessels.Dataset name: CHASEDB1.The semantic map is centralized, occupying the majority of the image space with a dense cluster in the center from which all vessels radiate outward.Size details are not explicitly available; the semantic map appears to fill nearly the entire square image canvas, implying a high-resolution map if scaled to match dataset image sizes.The semantic map exhibits a branching tree-like pattern; larger vessels originate from the central cluster, tapering into progressively finer vessels extending toward the periphery, with curvilinear shapes that mimic natural retinal vasculature." + }, + { + "image": "CHASEDB1\\test\\annotations\\23gt.png", + "caption": "This image depicts a high-contrast semantic map or ground truth (GT) representation of retinal vessels, with vessels visualized as white lines on a black background.The dataset is CHASEDB1.The semantic map occupies the central region of the image and radiates outwards, approximately fitting within the middle two-thirds both horizontally and vertically.The size of the semantic map roughly corresponds to the image dimensions, creating a closeup view of the vessel structure.The trend and shape of the semantic map include a central hub with main curvilinear vessels branching out in a tree-like pattern; secondary branches extend further out, thinning and curving to various degrees, illustrating a network characteristic of retinal vasculature." + }, + { + "image": "CHASEDB1\\test\\annotations\\24gt.png", + "caption": "This image is a high-contrast semantic map, or ground truth (GT), detailing the network of curvilinear objects resembling the vascular structures in a retinal image;The dataset is CHASEDB1;The semantic map is centrally located within the image, depicting a branching pattern that emanates from a central convergence point slightly offset towards the upper part of the image;The size of the semantic map is extensive, covering the majority of the image area with a multitude of branching vessels of varying thickness and length;The trend of the semantic map follows a radial expansion from the center with thinner vessels branching off from thicker ones, and the shape of the vessels is curvilinear and fractal-like, with some vessels tapering to fine points while others bifurcate or trifurcate, appearing as a detailed representation of a retinal vasculature system." + }, + { + "image": "CHASEDB1\\test\\annotations\\25gt.png", + "caption": "This image is a black-and-white semantic map highlighting the curvilinear structures representing the retinal vessels.The dataset is CHASEDB1.The semantic map prominently occupies the central region of the image, with vessel structures branching out towards the periphery.The size of the semantic map covers the entire canvas of the image, although not all areas contain vessel structures; the vessels are centrally concentrated and taper towards the edges.The trend and shape of the semantic map show a central main vessel branching into progressively finer vessels. The vessels exhibit a tree-like arborescent pattern with both linear and curved segments, radiating outwards from the center towards all directions of the image plane." + }, + { + "image": "CHASEDB1\\test\\annotations\\26gt.png", + "caption": "This image represents a semantic map or ground truth (GT) depicting the structure of retinal vessels in a high-contrast black and white format.The dataset is named CHASEDB1.The semantic map is located centrally within the image boundaries, displaying a branching pattern that originates from a central point, extending towards the periphery of the image frame.The size of the semantic map occupies the full canvas of the image, with the main vascular structures varying in thickness but consistently visible against the black background.The trend of the semantic map is characterized by a fractal branching pattern with primary vessels bifurcating into progressively thinner secondary and tertiary branches; the shape of the vessels is curvilinear and smoothly contoured, forming an intricate network reminiscent of a tree-like structure." + }, + { + "image": "CHASEDB1\\test\\annotations\\27gt.png", + "caption": "A black-and-white semantic map representing the vessel structure in a retinal image as white curvilinear features on a black background, indicating it is a ground truth (GT) image for segmentation.The image is from the CHASEDB1 dataset.The semantic map is centrally located in the image, with the main vessel structures emanating from the center and branching out towards the periphery of the image.The size of the semantic map is uniform across the image, with the white line features varying in thickness, representing different vessel calibers.The trend of the semantic map depicts a branching tree-like vascular pattern, characteristic of retinal vessels; the shapes include linear, curving, and tapering lines that form a complex network, mimicking the distribution of blood vessels in the human retina." + }, + { + "image": "DRIVE\\training\\images\\0img.png", + "caption": "High-resolution color fundus photograph of the human retina; 2. DRIVE dataset; 3. Blood vessels predominantly originating from the optic disc located centrally and spreading radially outward across the retina; 4. Vessel diameters ranging from less than a pixel to multiple pixels, with central vessels being noticeably wider than peripheral vessels; 5. Curvilinear structures displaying a branching pattern, tapering from thick to thin as they extend from the optic disc to the periphery, with some vessels exhibiting mild tortuosity; 6. The background presents a range of orange to light pink hues with darker areas corresponding to the retinal pigment epithelium and lighter areas signaling the reflection from the underlying choroid." + }, + { + "image": "DRIVE\\training\\images\\10img.png", + "caption": "A high-resolution fundus photograph showcasing a detailed view of the interior surface of the eye, including the retina, optic disc, macula, and blood vessels.DRIVE dataset.The curvilinear objects (vessels) are spread throughout the retinal image; they prominently radiate from the optic disc, with the highest concentration at the center and fanning outward toward the periphery of the retina.The size of the curvilinear objects (vessels) varies, with larger, thicker vessels originating from the optic disc and branching into progressively finer vessels toward the retinal periphery.The trend of the curvilinear objects (vessels) shows a branching pattern, with vessels diminishing in caliber as they bifurcate. The shape of these vessels is mostly linear, with some natural curvatures following the contour of the retina.The background exhibits an orange to red gradient with variations around the macula and fading to a darker shade at the edges of the image." + }, + { + "image": "DRIVE\\training\\images\\11img.png", + "caption": "High-resolution, color fundus image showing the detailed structure of a human retina.DRIVE dataset.The blood vessels are seen originating from the optic disk located at the nasal side and spread out in an arborescent way throughout the retina.The size of the blood vessels ranges from larger, thick vessels at the optic disk decreasing to fine capillaries toward the periphery of the retina.The blood vessels exhibit a branching, tree-like pattern; the main vessels curve gently, with smaller branches exhibiting various degrees of tortuosity.The background is consistent with typical retinal texture with variations in pigmentation and brightness." + }, + { + "image": "DRIVE\\training\\images\\12img.png", + "caption": "This image is a close-up, high-resolution fundoscopic photograph of a human retina, showing detailed vascular structures and surrounding retinal tissue.The image is from the DRIVE dataset.The curvilinear objects, which are blood vessels, extend from the optic disc centrally and radiate outward, covering the entire retina. The central region has denser, larger vessels while the periphery has finer, sparser vessels.The size of the vessels ranges from large, thick vessels that can be seen coming directly from the optic disc to very fine capillaries on the periphery of the retina.The vessels trend outward from the optic disc, with the larger vessels bifurcating into progressively smaller branches; they exhibit a tree-like, arborescent pattern with curving trajectories that follow the topography of the retinal surface.The background comprises the orange-pinkish hue of the retinal surface with variations in pigmentation and brightness, notably around the macular area." + }, + { + "image": "DRIVE\\training\\images\\13img.png", + "caption": "A high-resolution color fundus photograph showing the interior surface of the eye, including the retina, retinal vasculature, optic disc, and macula;DRIVE dataset;The curvilinear objects (vessels) are located throughout the retinal surface, originating from the optic disc and branching out across the retina;The size of the curvilinear objects (vessels) varies; the main vessels are broader near the optic disc and taper into finer branches towards the periphery of the retina;The trend of the vessels is a diverging tree-like network, with arteries and veins showing a branching pattern; their shape is mostly tortuous and winding with various arcs and angles;The background comprises the orange to red coloration of the retinal surface, with lighter patches indicating the optic disc and darker regions representing the fovea and macula area." + }, + { + "image": "DRIVE\\training\\images\\14img.png", + "caption": "This is a high-resolution color fundus photograph depicting the internal surface of the eye, including the retina, retinal vasculature, and optic disc.The dataset this image comes from is named DRIVE (Digital Retinal Images for Vessel Extraction).The curvilinear objects (vessels) are located throughout the retinal image, emerging from the optic disc and radiating outward towards the periphery of the retina.The size of the vessels varies, with the main arteries and veins being the thickest near the optic disc, progressively branching into thinner arterioles and venules.The trend and shape of the vessels are complex and curvilinear, with larger vessels following a more straight path and smaller branches curving and intertwining in various directions. Arteries are generally brighter and narrower while veins are darker and wider, with the arteriovenous crossing phenomenon observed. The vessels exhibit tapering as they extend from the optic nerve head.The background consists of the retinal tissue featuring a reddish-orange color with variations due to the pigmentation, light reflection, and shadows, including a lighter area around the optic disc known as the optic cup." + }, + { + "image": "DRIVE\\training\\images\\15img.png", + "caption": "Color fundus photography of a human retina showing blood vessels, the optic disc, and macula.DRIVE dataset.The blood vessels originate from the optic disc located at the nasal side of the image, spreading radially across the retina; finer vessels branch peripherally from main arterial and venous structures.Vessel diameter varies from larger central vessels measuring approximately 100-200 micrometers near the optic disc to finer capillaries less than 10 micrometers towards the periphery.The vessels exhibit a branching pattern with bifurcations; arteries are lighter and narrower with a more defined structure, while veins are darker and wider; the vessels taper smoothly as they extend from the optic disc.Homogeneous reddish-orange background with variations corresponding to the retinal pigmentation and choroidal blood supply." + }, + { + "image": "DRIVE\\training\\images\\16img.png", + "caption": "High-resolution fundus photograph displaying the internal surface of the eye; 2. DRIVE dataset; 3. Central retinal vessels emanating from the optic disc located at the nasal side, branching into a network of smaller vessels extending towards the periphery; 4. Central vessels are broad, tapering into finer arterioles and venules, dimensions varying from less than a hundred micrometers to a few hundred micrometers; 5. Vessels exhibit a tortuous, branching architecture, with bifurcations and crossings, following a roughly radial distribution from the optic disc; 6. Homogeneous orange-pink background with darker areas corresponding to the retinal pigment epithelium and choroid." + }, + { + "image": "DRIVE\\training\\images\\17img.png", + "caption": "High-resolution color fundus photograph of a human retina displaying the optic disc, macula, and a network of blood vessels;DRIVE dataset;Curvilinear objects (vessels) are predominantly centered around the optic disc, branching out across the retina, with a higher concentration around the central region and fanning out towards the periphery;Vessel size varies with large vessels emerging from the optic disc and progressively tapering into finer branches as they extend radially;Vessels exhibit a branching pattern with bifurcations, and the vessels\u2019 courses range from straight to gently curved arcs adapting to the retinal surface topology;Homogeneous reddish-orange background with variations due to retinal pigmentation." + }, + { + "image": "DRIVE\\training\\images\\18img.png", + "caption": "Fundoscopic image displaying the internal surface of the eye, including the retina, optic disc, macula, and retinal vessels; 2. DRIVE dataset; 3. Retinal vessels predominantly located emanating radially from the optic disc and branching extensively across the retina; 4. Vessel sizes vary, with central retinal vessels being thicker near the optic disc and tapering into finer branches towards the periphery; 5. Vessels exhibit a tree-like branching pattern with curvilinear trajectories, bifurcations, and intersections, all curving to accommodate the spherical shape of the retina; 6. Homogeneous reddish-orange background representing the retinal tissue." + }, + { + "image": "DRIVE\\training\\images\\19img.png", + "caption": "High-resolution color fundus photograph showing the intricate network of retinal vessels; 2. DRIVE dataset; 3. The vessels are centrally concentrated and radiate outwards from the optic disc located near the middle right side; 4. Vessel calibers range from under 100 micrometers for fine capillaries to approximately 100-180 micrometers for arterioles and venules; 5. The vessels exhibit a branching pattern, with multiple bifurcations and curvilinear paths with a tortuousity that varies across the network; 6. The background is a uniform, dull orange-red color with soft variations, and darker orange around the macula." + }, + { + "image": "DRIVE\\training\\images\\1img.png", + "caption": "High-resolution color fundus photograph of a human retina displaying central and branching retinal vessels, optic disc, and macular area;DRIVE dataset;Curvilinear objects (vessels) start at the optic disc and branch out radially across the retina, with a denser vascular network around the macula and becoming sparser towards the periphery;Vessel size varies from thick central retinal vessels emanating from the optic disc to thinner arterioles and venules branching across the retina, decreasing in caliber with each bifurcation;The vessels exhibit a tortuous and arching trend with arterioles appearing lighter and narrower with a more linear path, while venules are darker and wider with a more winding trajectory; some vessels show signs of crossing and bifurcation, depicting the complex vascular architecture of the retinal circulation;Background consists of the retinal tissue with a smooth texture and a gradient of orange to dark red hues with the macular region being slightly darker and the periphery showing a lighter orange color." + }, + { + "image": "DRIVE\\training\\images\\2img.png", + "caption": "High-resolution fundus photograph displaying the retina with central optic disc and branching blood vessels; 2. DRIVE dataset; 3. Blood vessels originate from the optic disc located centrally and spread outwards in a branching pattern; 4. Vessel diameters vary, with central vessels being thicker, approximately 100-200 micrometers, tapering to finer capillaries under 10 micrometers towards the periphery; 5. Blood vessels exhibit a curvilinear and arborized structure, with bifurcations and some vessels forming arcades; 6. Homogeneous reddish-orange background representing the retinal tissue." + }, + { + "image": "DRIVE\\training\\images\\3img.png", + "caption": "High-resolution fundus photograph of a human retina showing detailed retinal vessels and structures; 2. DRIVE dataset; 3. Retinal vessels are predominantly located around the optic disc in the center, branching outwards across the entire retina; 4. Vessel diameter ranges from larger vessels at approximately 100-150 microns near the optic disc to finer capillaries less than 10 microns at the periphery; 5. The retinal vessels exhibit a branching, tree-like structure with a mixture of curved and straight segments, forming an interconnected network with bifurcations and convergences; 6. The background is an orange-pink retinal surface with variations in pigmentation and brightness, and a central lighter region representing the macula." + }, + { + "image": "DRIVE\\training\\images\\4img.png", + "caption": "Color fundus photograph of the human retina showing central and peripheral regions with blood vessels and optic nerve head;DRIVE dataset;Vessels are distributed radially around the optic disc, extending across all quadrants of the retina, with a higher concentration and caliber in the posterior pole;Vessels vary in size from larger, thicker vessels emerging from the optic disc to finer branches that attenuate peripherally;The vessels show a branching pattern, with a central retinal artery and vein bifurcating into arterioles and venules that curve and taper towards the retinal periphery, exhibiting a tree-like, arborized network;Homogeneous reddish-yellow background corresponding to the retinal tissue with variations in pigmentation." + }, + { + "image": "DRIVE\\training\\images\\5img.png", + "caption": "High-resolution image of a human retina showing a network of blood vessels, with a central optic disc and surrounding retinal tissue;DRIVE dataset;The curvilinear objects (vessels) are distributed throughout the retina, originating from the optic disc and arborizing towards the periphery;The size of the curvilinear objects (vessels) ranges from larger, thicker vessels that emanate from the optic disc to finer, more delicate branches that are distributed in the retinal periphery;The trend and shape of the curvilinear objects (vessels) show a tree-like branching pattern, with a central retinal artery and vein emerging from the optic disc and dividing into smaller arterioles and venules, creating a complex vascular network with arcades and cross-connections;The background consists of the orange-pinkish hue of the retinal tissue with variations in pigmentation and light reflexes." + }, + { + "image": "DRIVE\\training\\images\\6img.png", + "caption": "High-resolution, detailed, color fundus photograph showcasing the intricate network of blood vessels within a human retina; 2. DRIVE dataset; 3. The vessels are distributed throughout the retina with a higher concentration emerging from the optic disc and branching outwards in an arborescent pattern; 4. Vessel diameters range from less than a fifth of a millimeter for capillaries to approximately one and a half millimeters for the central retinal vessel; 5. The vessels exhibit a combination of linear and curving trajectories, with subtle variances in thickness and brightness indicating blood flow and vessel depth; 6. Background consists primarily of the retinal tissue, varying in hue from light orange to dark red-brown, providing a contrast to the vasculature." + }, + { + "image": "DRIVE\\training\\images\\7img.png", + "caption": "Detailed fundus photograph captured from a retinal scan showing a complex network of vessels;DRIVE dataset;Vessels originate from the optic disc area in the center, branching out across the retina in a distributed pattern;Vessels vary in size, with central retinal artery and vein being the most prominent, diminishing in diameter as they branch into arterioles and venules;Vessels exhibit a tortuous course with various curvatures and bifurcations, following an arborized structure from larger trunks to finer branches;Background consists of the retinal tissue with variations in color due to pigmentation and light reflection, predominantly orange to light pink hues with a darker area around the optic disc." + }, + { + "image": "DRIVE\\training\\images\\8img.png", + "caption": "Color fundus photograph of a human retina showing a detailed network of blood vessels;DRIVE dataset;Vessels predominantly located on the surface of the optic disc in the center, branching out radially across the retina;Vessels vary in size, with the central retinal artery and vein being the largest and branches progressively narrowing to fine capillaries toward the periphery;Trend of vessels includes a central reflex with arteriovenous crossing patterns, with vessels exhibiting a sinuous and arching course;Background is consistent with retinal tissue, exhibiting orange to red coloring with variations due to pigmentation and underlying choroidal blood vessels." + }, + { + "image": "DRIVE\\training\\images\\9img.png", + "caption": "High-resolution color fundus photograph of a human retina showing detailed blood vessels and anatomical features; 2. DRIVE dataset; 3. Blood vessels predominantly centered around the optic disc, radiating outwards across the retina, and tapering towards the periphery; 4. Varying in size, with central retinal vessels being the largest and bifurcating into smaller arterioles and venules; 5. The vessels display a tortuous path with branching and crossing patterns, arterial vessels are more reflective and narrower with a brighter color than the darker and wider venous vessels; 6. The background exhibits a gradient of orange to dark shades, with a textured appearance due to the retinal tissue." + }, + { + "image": "DRIVE\\training\\annotations\\0gt.png", + "caption": "This image is a black-and-white semantic map representing the retinal vasculature as curvilinear objects against a black background; it serves as ground truth (GT) for identifying vessel structures.The dataset name is DRIVE (Digital Retinal Images for Vessel Extraction).The semantic map is centrally located in the image, covering the majority of the area with a focus on the central retinal region where the vessels diverge outward.The size of the semantic map is consistent with the resolution of the image, providing a detailed depiction of the vasculature with varying vessel widths and branching patterns.The trend of the semantic map shows a branching tree-like vascular structure originating from the optic disc area, with larger vessels bifurcating into progressively finer branches; the shape of the vessels varies from straight to curvilinear, adapting to the anatomical constraints of the retinal surface." + }, + { + "image": "DRIVE\\training\\annotations\\10gt.png", + "caption": "This image is a high-contrast, black and white semantic map representing the vascular structure of a retinal image, serving as ground truth (GT) for feature extraction.The name of the dataset is the DRIVE dataset.The semantic map is centrally located within the image, with the main vessel branching from the center outward.The size of the semantic map is consistent with the image resolution, capturing the entire field of view with thin, elongated lines representing vessels of varying sizes.The trend of the semantic map follows a branching pattern typical of retinal blood vessels; starting from a thick central vessel, it tapers into finer vessels branching radially and curving slightly, resembling a tree-like structure with multiple bifurcations." + }, + { + "image": "DRIVE\\training\\annotations\\11gt.png", + "caption": "Black-and-white image of a ground truth semantic map, highlighting retinal vessels as white, curvilinear features on a black background;DRIVE dataset;The semantic map is centrally located and encompasses nearly the entire field of the image;Full-size semantic map covering the image canvas, which typically has a resolution of 584x565 pixels in the DRIVE dataset;The map shows a branching pattern of vessels radiating outward from a central, denser white area (optic disc); vessels exhibit varying thicknesses, with the thinnest ones forming intricate networks towards the periphery and the thicker ones located closer to the central area; overall, the vessels follow a tortuous and interconnected path, outlining a biologically accurate representation of retinal vasculature." + }, + { + "image": "DRIVE\\training\\annotations\\12gt.png", + "caption": "This image is a semantic map or ground truth (GT) depicting curvilinear structures, representing retinal blood vessels.The dataset is the Digital Retinal Images for Vessel Extraction (DRIVE).The semantic map is centrally located in the image, with a circular pattern indicative of the optic disc at the left corner and vessels radiating outward across the entire image field.The size of the semantic map takes up the full 512x512 pixels resolution of the image.The trend of the semantic map shows a fractal-like arborization of vessels with varying thickness, originating and bifurcating from the optic disc area. The shape of individual vessels ranges from thicker primary branches to thinner secondary and tertiary branches, curving and interweaving to form a complex vascular network." + }, + { + "image": "DRIVE\\training\\annotations\\13gt.png", + "caption": "Black-and-white semantic map depicting the retinal blood vessel network, identified as a ground truth (GT) image within a dataset; 2. DRIVE dataset; 3. The semantic map occupies the entire image against a black background; 4. The image size is 512 x 512 pixels; 5. The depicted blood vessels showcase a branching, tree-like structure with curvilinear forms that vary in width, extending from a central thicker convergence point outwards to thinner peripheral branches, following an expansive radial pattern that covers the entire image space." + }, + { + "image": "DRIVE\\training\\annotations\\14gt.png", + "caption": "This is a black-and-white semantic map depicting the vascular network as a ground truth representation for a retinal image;The dataset is named DRIVE;The semantic map is positioned centrally within the image bounds, covering the majority of the image area;The size of the semantic map appears to match the overall image size, suggesting a high-resolution ground truth that spans the entire canvas;The trend of the semantic map shows a fractal-like branching pattern of vessels ranging from thick primary vessels to fine capillary networks, with curvilinear shapes that radiate outward from the optic disc area, mimicking the natural distribution of retinal blood vessels." + }, + { + "image": "DRIVE\\training\\annotations\\15gt.png", + "caption": "This image is a semantic map or groundtruth (GT) depicting the network of retinal vessels;The name of the dataset is DRIVE;The semantic map is centrally located in the image, with vessels radiating outward from an approximate central point that resembles the optic disc;The size of the semantic map covers the entire field of the image, displaying a comprehensive layout of the retinal vessels within it;The trend of the semantic map is branching, with primary vessels bifurcating into progressively finer arterioles and venules; the shape of the vessels is curvilinear with varying thickness \u2014 thicker near the center, tapering toward the periphery." + }, + { + "image": "DRIVE\\training\\annotations\\16gt.png", + "caption": "This image is a high-contrast, black and white semantic map highlighting the retinal vessels' structure, representing the ground truth (GT) for the purpose of image analysis.The map is from the DRIVE dataset.The vessels are centrally located in the image, predominantly occupying the central two-thirds of the image area, with the main vascular arches originating from a common point positioned slightly to the right of the central vertical axis.The vessels vary in size, with the larger vessels having a thicker presence and gradually tapering into thinner branches; the map likely maintains the original DRIVE dataset's resolution, commonly 584x565 pixels.The vascular structure illustrated trends outward from the central focal point in a branching pattern with primary, secondary, and tertiary branches; the vessels curve smoothly with bifurcations and intersections exhibiting varying angles, and the shape of the semantic map is reminiscent of a tree-like or dendritic structure with the central and peripheral vessels creating a web-like network across the image." + }, + { + "image": "DRIVE\\training\\annotations\\17gt.png", + "caption": "High-contrast black and white semantic map representing the retinal vessels as curvilinear structures against a uniform black background, indicating it is a ground truth (GT) for vessel segmentation.DRIVE dataset.Vessels are centrally located, occupying the majority of the image with a focus on the central retinal area extending towards the periphery.Full size as per the DRIVE dataset standard, typically 584x565 pixels.The semantic map displays a complex network of branching vessels varying from thick to very fine lines; vessels exhibit a tortuous and intertwining pattern radiating outward from a central point resembling the optic disc, with some vessels exhibiting bifurcations, trifurcations, and curvilinear trajectories traveling throughout the retinal map." + }, + { + "image": "DRIVE\\training\\annotations\\18gt.png", + "caption": "This image is a black and white semantic map representing the ground truth (GT) for curvilinear objects resembling vessels.The map is from the DRIVE dataset.The semantic map is centrally located within the image, occupying the majority of the space.The size of the map is consistently proportional to the image, with curvilinear structures varying in thickness throughout.The trend of the curvilinear structures is predominantly radiating outward from the central brighter area with bifurcations, while the shape of the vessels ranges from wide primary vessels to fine branching vessels, outlining a complex vascular-like network." + }, + { + "image": "DRIVE\\training\\annotations\\19gt.png", + "caption": "This image represents a black and white semantic map, or groundtruth (GT), of retinal blood vessels.The semantic map is from the DRIVE dataset.The semantic map occupies the entire image area, with a central focus that is denser and more complex, and is surrounded by progressively sparser vessel representations towards the periphery.The size of the semantic map is consistent with the standard resolution provided by the DRIVE dataset for such images, which typically is 584x565 pixels.The trend of the semantic map shows a branching tree-like vascular structure with curvilinear features ranging from thick primary vessels to fine capillary networks; the shapes show variation in vessel diameter, curvature, and branching angles, simulating the topography of retinal vasculature." + }, + { + "image": "DRIVE\\training\\annotations\\1gt.png", + "caption": "This is a semantic map (GT) depicting the network of retinal blood vessels as thin, curvilinear structures on a black background;The dataset is the DRIVE database;The semantic map is centrally located within the image, with the vessels spanning throughout the entire visual field;The size of the semantic map corresponds to the dimensions of the image itself, which is typically 584x565 pixels in the DRIVE dataset;The trend of the vessels is complex and branching, with varying vessel thickness that tapers from the optic disc region outwards, and the shape is indicative of detailed retinal vasculature, including both major and minor vessels with bifurcations and crossover points." + }, + { + "image": "DRIVE\\training\\annotations\\2gt.png", + "caption": "Semantic map of retinal vessels representing the ground truth (GT) for segmentation;DRIVE dataset;The GT is centered in the image, occupying the majority of the canvas with clear space around the edges;The GT is high contrast, with white curvilinear structures on a uniform black background, covering the full dimension of the image;The vessels form a branching tree-like structure with a central thicker vessel (optic disc) from which multiple thinner branches extend towards the periphery, varying in curvature and bifurcation pattern." + }, + { + "image": "DRIVE\\training\\annotations\\3gt.png", + "caption": "This image is a semantic map, also known as ground truth (GT), illustrating the detailed vascular structure in the form of curvilinear objects;The dataset is the DRIVE dataset;The semantic map is centralized in the image, depicting the vascular network mostly concentrated in the central region and spreading outwards towards the periphery;The size of the semantic map is consistent with the standardized size used in the DRIVE dataset, which fills the entire square frame of the image;The trend of the semantic map includes both primary vessels that are thicker and more prominent as well as secondary and tertiary finer branches; the shape of the vessels ranges from straight to highly tortuous, mimicking the natural diversity in retinal blood vessel patterns." + }, + { + "image": "DRIVE\\training\\annotations\\4gt.png", + "caption": "This image is a high-contrast black and white semantic map, also known as ground truth (GT), showing the detailed network of retinal vessels.The name of the dataset is the DRIVE dataset.The semantic map of the retinal vessels is centrally located in the image, spreading outwards from the central optic disc area to the periphery, creating a tree-like branching pattern.The size of the semantic map is consistent with the standard dimensions of images in the DRIVE dataset, which typically feature a field of view capturing the central and mid-peripheral sections of the retina.The trend of the semantic map shows a highly curvilinear and intricate vascular network with varying vessel thickness, resembling tree branches; the shape includes both thick primary vessels that bifurcate into progressively thinner secondary and tertiary branches." + }, + { + "image": "DRIVE\\training\\annotations\\5gt.png", + "caption": "This image is a high-contrast black and white semantic map representing the vascular structure in a retinal image, indicative of the groundtruth (GT) for vessel segmentation.The name of the dataset is the DRIVE dataset.The semantic map is centrally located, occupying the entire image field.The size of the semantic map corresponds to the dimensions of the image, detailed to show individual vessel paths with varying thicknesses.The trend of the semantic map exhibits a branching pattern originating from the optic disc area, with vessels tapering as they radiate outward; the shape of the semantic map mimics the natural arborization of retinal blood vessels with curvilinear forms interconnecting across the field." + }, + { + "image": "DRIVE\\training\\annotations\\6gt.png", + "caption": "This is a black and white semantic map representing the vascular structure in a retinal image, indicating the ground truth (GT) for vessel segmentation.The dataset name is DRIVE.The semantic map shows the curvilinear vascular structures distributed throughout the entire image, with a central optic disc from where vessels originate and branch out towards the periphery.The size of the semantic map is consistent with the resolution of the DRIVE dataset images, which is typically 584x565 pixels.The trend of the semantic map displays a branching pattern with varying vessel calibers; the shape includes major vessels that are thicker and curve gently, as well as finer branches that taper and show more acute angular divarications." + }, + { + "image": "DRIVE\\training\\annotations\\7gt.png", + "caption": "A semantic map (GT) representing the retinal vascular network with high contrast white lines on a black background, indicating vessel structures.DRIVE dataset.The semantic map is centered, with the main vascular structure situated in the central region and smaller branches extending towards the periphery of the image.The size of the semantic map occupies the entirety of the image space, approximately 512x512 pixels, with varying thicknesses in the vascular representation.The trend of the semantic map is a central branching pattern with a larger vessel (optical disk) serving as the root from which an intricate network of curvilinear vessels radiates; the shape of the vessels ranges from large, thick central vessels to progressively finer branches extending outward, simulating a natural, biological vasculature hierarchy." + }, + { + "image": "DRIVE\\training\\annotations\\8gt.png", + "caption": "Semantic map representing the vascular network in a retinal image; 2. DRIVE dataset; 3. The semantic map is centrally located within the image boundaries, occupying the majority of the image space with a higher concentration of vessels in the central area and sparser distribution towards the periphery; 4. The size of the semantic map is consistent with the image resolution, covering the entire image field; 5. The vessels depicted show a branching tree-like structure, with a central thicker vessel (optic disc region) bifurcating into progressively thinner vessels extending radially outward with curvilinear patterns." + }, + { + "image": "DRIVE\\training\\annotations\\9gt.png", + "caption": "Semantic map of retinal blood vessels, presented as a groundtruth (GT) image;DRIVE dataset;The semantic map is centralized, covering nearly the entire image, with a focal convergence of lines towards the center-right portion of the image;The size of the semantic map is significant, occupying most of the image canvas with minimal margins around the edges;The trend of the curvilinear objects in the semantic map radiates outward from a central focal point, resembling branches or a network of rivers, with varying curvilinear shapes including arcs, bends, and branching patterns. The thickness of the lines varies, indicating different vessel sizes." + }, + { + "image": "DRIVE\\test\\images\\0img.png", + "caption": "High-resolution color fundus photograph of a human retina.DRIVE dataset.Vessels branch out from the optic disc centrally located, extending radially towards the periphery of the retina; higher density near the optic disc decreasing with distance.Vessels vary in size, central retinal artery and vein are the thickest, diminishing in caliber to fine capillaries towards the edges.The vessels display a complex arboreal pattern; straighter near the optic disc turning into a tortuous pattern peripherally, creating a fractal-like network.The background shows a homogeneous red-orange hue with variations due to the retinal pigment epithelium and choroid." + }, + { + "image": "DRIVE\\test\\images\\10img.png", + "caption": "Color fundus photograph showing the interior surface of the eye including the retina, optic disc, macula, and retinal vasculature;DRIVE dataset;The curvilinear objects, which are blood vessels, are prominently visible against the retinal background, emanating radially from the optic disc located on the nasal side and extending to the periphery of the retina;The vessels vary in size from larger, thicker vessels originating from the optic disc to finer, thinner branches extending across the retina. The larger vessels are approximately 100-150 microns in thickness, while the finer branches may be as small as 10-20 microns;The vessels display a hierarchic branching pattern with an arborized structure; primary vessels bifurcate into secondary and tertiary branches, following a generally tortuous trajectory with smooth curvilinear pathways that taper as they extend from the central optic disc to the retinal periphery;The background shows the orange-pink hue characteristic of the retinal pigment epithelium, with a darker foveal area and lighter optic disc." + }, + { + "image": "DRIVE\\test\\images\\11img.png", + "caption": "Fundus photograph capturing a detailed view of the human retina.DRIVE dataset.Vessels prominently visible branching from the optic disc, spreading radially across the retina to the periphery.Vessel diameters range from broad arterioles and venules near the optic disc to fine capillaries barely discernible at the image resolution.Vessels exhibit a hierarchy of branching patterns with smooth curvature, bifurcating and tapering from central to peripheral regions; arterioles reflect a brighter red hue whereas venules appear with a darker red to purple coloration.The background shows the orange to red hue of the retinal pigment epithelium with variations in pigmentation surrounding the vessels." + }, + { + "image": "DRIVE\\test\\images\\12img.png", + "caption": "Retinal fundus photograph displaying a network of blood vessels;DRIVE dataset;Vessels are distributed throughout the retina, with a higher concentration around the optic disc and branching outwards in a tree-like pattern;Vessel diameters vary from large principal arteries and veins near the optic disc to very fine capillary networks peripherally;Vessels exhibit a curving, intertwined trajectory with bifurcations and crossings, some forming arcades and others tapering as they extend to the retinal periphery;Homogenous, softly textured, reddish-orange background with variations in pigmentation and brightness." + }, + { + "image": "DRIVE\\test\\images\\13img.png", + "caption": "High-resolution fundus photograph showing the intricate network of vessels in the human eye;DRIVE dataset;Retinal blood vessels predominantly centered around the optic disc, branching out radially across the retina;Vessel diameters range from large principal arteries and veins near the optic disc to fine capillary networks peripherally;Arteries are lighter and narrower with a more rigid course, while veins are darker and wider with a more tortuous pathway; arteriovenous crossing can be seen, and some vessels show bifurcations and convergence;The background shows a consistent orange-pink hue with subtle variations and darker areas corresponding to the retinal pigmentation and choroid." + }, + { + "image": "DRIVE\\test\\images\\14img.png", + "caption": "High-resolution color retinal image showing the central and peripheral regions of the retina; 2. DRIVE dataset; 3. Curvilinear objects (vessels) originate from the optic disc at the center, branching out radially and bifurcating into finer vessels throughout the retina; 4. Vessels vary in size from larger, thicker central retinal vessels with diameters ranging approximately from 100 to 150 micrometers to finer peripheral vessels and arterioles with diameters as small as 10 to 20 micrometers; 5. Vessels exhibit a tree-like branching pattern with tortuosity that varies among the vessels, with some showing a straighter course and others appearing more winding and curvilinear; 6. Homogeneous red-orange background representing the retinal tissue with darker areas corresponding to the choroid layer visible around the paler optic disc area." + }, + { + "image": "DRIVE\\test\\images\\15img.png", + "caption": "Fundus photography of a human retina displaying central and peripheral vasculature;DRIVE dataset;Vessels predominantly located radiating from the optic disc towards the periphery, bifurcating and diminishing in caliber as they extend;Vessels vary in size from larger blood vessels (arteries and veins) proximal to the optic disc to finer capillary networks towards the periphery;The vessels display a branching pattern with smooth, sinuous curvatures, exhibiting a reticulated network with arteriovenous crossings and tapering as they move outward;Uniform reddish-orange background with variations due to retinal pigmentation and shadows." + }, + { + "image": "DRIVE\\test\\images\\16img.png", + "caption": "Detailed image of a human retina showing blood vessels and anatomical features; 2. DRIVE dataset; 3. Vessels originate from the optic disc at the rear of the eye, spreading centrifugally across the retina; 4. Vessels vary in size, with the central retinal artery and vein being the largest and subsequent arterioles and venules branching out into progressively finer capillaries; 5. The vessels display a branching tree-like pattern with arterioles typically exhibiting a brighter, more reflective appearance than the darker venules, following an arborized network throughout the retinal surface with bifurcations and crossings; 6. Homogenous reddish-orange background representing the retinal surface." + }, + { + "image": "DRIVE\\test\\images\\17img.png", + "caption": "High-resolution fundus photograph showcasing the retinal structure with visibly branching vascular network;DRIVE dataset;Vessels originate from the optic disc located near the center and radiate outwards in a distributed branching pattern;Vessel diameters vary with central retinal artery and vein being the widest near the optic disc, tapering into finer arterioles and venules towards the periphery;Vessels exhibit a branching tree-like structure, with bifurcations and crossings, arching over the three-dimensional contour of the retina - arterioles tend to be brighter and narrower while venules are darker and slightly wider;Orange-pink background with variations indicative of the retinal pigment epithelium and choroid underneath the vessels." + }, + { + "image": "DRIVE\\test\\images\\18img.png", + "caption": "High-resolution fundus photography of a human retina;DRIVE dataset;Blood vessels are centrally located, predominantly radiating outwards from the optic disc towards the periphery;Vessel diameters range from less than 100 microns for smaller branches to approximately 100-200 microns for larger arterioles and venules;Vessels exhibit a branching pattern with bifurcations and curvilinear forms, with arterioles being brighter and narrower, and venules being darker and wider;The background is a uniform reddish-orange color with a darker central area corresponding to the macula and a light-reflective optic disc to the right side." + }, + { + "image": "DRIVE\\test\\images\\19img.png", + "caption": "A high-resolution fundus photograph showing the internal surface of the eye, including the retina, retinal vasculature, optic disc, and macula.DRIVE dataset.The vessels are prominently distributed throughout the retina, with a higher concentration around the optic disc, branching out towards the periphery.The size of the vessels varies; the central retinal artery and vein are the largest, tapering into smaller arterioles and venules as they extend radially.The vessels exhibit a branching, tree-like structure with bifurcations; arterioles are generally narrower and lighter in color than venules, which are wider and darker.Uniform reddish-orange background, characteristic of the choroid." + }, + { + "image": "DRIVE\\test\\images\\1img.png", + "caption": "High-resolution color fundus photograph showing the interior surface of the eye including the retina, optic disc, macula, and blood vessels; 2. DRIVE dataset; 3. The curvilinear objects (vessels) are predominantly emanating from the optic disc at the back of the eye and arborizing across the retina; 4. The vessels vary in size from larger, prominent central retinal vessels with decreasing caliber as they branch out towards the periphery; 5. The vessels display a branching pattern with bifurcations, following a more or less arched trajectory with smooth, rounded turns; main vessels tend to have a straighter course near the optic disc while becoming more tortuous as they branch out; 6. The retina serves as a uniformly colored background with variations from light orange to red, with the optic disc being paler and the macula having a darker, more reddish hue." + }, + { + "image": "DRIVE\\test\\images\\2img.png", + "caption": "Detailed color fundus photograph showing the retinal structure with central optic disc and branching vasculature; 2. DRIVE dataset; 3. Vessels radiate outward from the optic disc, distributed across the retina, more concentrated toward the central region and tapering toward the periphery; 4. Vessels vary in size\u2014the central retinal artery and vein at the optic disc are the largest with a diminishing caliber as branches extend outward to the periphery; 5. Vessels exhibit a branching tree-like pattern, curving smoothly with some bifurcations and trifurcations, no acute angles; 6. The background includes a consistent retinal pigment with variations in hue, macula located at the center, and a darker pigmentation at the periphery." + }, + { + "image": "DRIVE\\test\\images\\3img.png", + "caption": "High-resolution color fundus photograph featuring an optic disc and branching retinal vasculature;DRIVE dataset;Curvilinear objects (vessels) originate from the optic disc, radiating outward across the retina, with a higher concentration located around the optic disc and decreasing towards the periphery;The vessel calibers range from larger, major vessels that are easier to distinguish, to fine capillaries that are less visible; major vessels are roughly 100-200 microns in diameter near the optic disc and taper as they extend radially;Vessels exhibit a branching tree-like structure with bifurcations, following a pattern of arterial and venous systems; arteries are characterized by a lighter red hue and thinner width compared to the darker red and slightly wider veins;Homogenous, orange-pink retinal background with variations due to the retinal pigment epithelium." + }, + { + "image": "DRIVE\\test\\images\\4img.png", + "caption": "High-resolution image of a human retina showing blood vessels and optic disc;DRIVE dataset;The curvilinear objects (vessels) are located throughout the retina, radiating outwards from the optic disc situated on the nasal side of the image;The size of the vessels ranges from large main branches near the optic disc to fine capillary networks peripheral to the larger vessels, displaying a varied caliber that progressively diminishes from the optic disc outward;The curvilinear objects (vessels) exhibit a branching pattern, starting broad near the optic disc and bifurcating into smaller branches, with an overall pattern that appears tree-like; some vessels curve gently while others form more acute angles, conforming to the anatomic layout of the retina;The background is a gradient of orange to dark colors, typical of retinal fundus photographs, showing contrast against the vasculature." + }, + { + "image": "DRIVE\\test\\images\\5img.png", + "caption": "Detailed fundus photography of the human retina showing central and branching vascular structures;DRIVE dataset;Vessels originate from the optic disc and extend radially towards the periphery, with bifurcations and crossing patterns observed throughout;Vessels vary in size from larger, prominent central retinal vessels to finer capillary networks towards the edges, with diameters ranging from approximately 100 to 300 micrometers for larger vessels and below 100 micrometers for finer vessels;Vessels exhibit a tortuous and branching pattern, with arterioles identifiable by their lighter, reflective color and narrower caliber compared to the darker and slightly wider venules; additionally, vessels display tapering as they extend from the optic disc, and some venous pulsation may be apparent;The background comprises the retinal pigmented epithelium and choroid with a consistent, smooth texture and an orange-pink hue, featuring the macula near the center with a darker foveal region." + }, + { + "image": "DRIVE\\test\\images\\6img.png", + "caption": "A detailed, high-resolution retinal image showcasing the intricate vasculature and anatomical features within the eye;DRIVE dataset;Curvilinear objects (vessels) are primarily centralized but radiate outward from the optic disc, with a higher density of vessels in the superior and inferior regions;Vessel diameters vary from less than 50 micrometers for smaller branches to approximately 150 micrometers for larger vessels;Vessels exhibit a branching pattern originating from the optic disc, with arterioles being lighter and narrower while venules are darker and wider; vessels display a tortuous trend as they bifurcate and taper towards the periphery;Uniform reddish-orange background with variations in hue and lightness corresponding to the underlying choroid and retinal layers." + }, + { + "image": "DRIVE\\test\\images\\7img.png", + "caption": "Fundus photography of a human eye showing the retinal structure, optic disc, and blood vessels;DRIVE dataset;The blood vessels are predominantly located spreading out in a branching pattern from the optic disc located towards the nasal side and extend to the periphery of the retina;The vessels vary in size with central retinal vessels being the widest, and progressively tapering into finer arterioles and venules as they branch out;The vessels demonstrate a curvilinear, intertwined trajectory with arterial vessels being lighter and narrower than the darker and slightly wider venous vessels; they show bifurcations, crossings and follow a tortuous path along the retinal surface;Homogenous red-orange background with variations due to the retinal pigmentation and choroidal blood supply." + }, + { + "image": "DRIVE\\test\\images\\8img.png", + "caption": "High-resolution color fundus photograph showing the detailed retinal structure with optic disc and blood vessels prominently displayed.DRIVE dataset.Vessels originating from the optic disc located centrally near the top, branching radially and extending across the entire image.The vessels vary in width, with the central retinal artery and vein being the thickest, tapering into finer arterioles and venules towards the periphery.Arteries exhibit a lighter red and narrower profile; veins are wider and darker red; both display a tortuous course with bifurcations and some crossing phenomena.Uniform reddish-orange background with gradual variations corresponding to the retinal pigment epithelium." + }, + { + "image": "DRIVE\\test\\images\\9img.png", + "caption": "High-resolution color fundus photograph displaying the retina's vascular structure and surrounding tissue;DRIVE dataset;Vessels are predominantly located emanating from the optic disc, extending radially towards the periphery, with varying degrees of branching complexity;Vessels range from large, prominent central retinal arteries and veins to finer arterioles and venules, with diminishing size as they extend away from the optic disc;Vessels display a branching, tree-like pattern with smooth, curvilinear trajectories that taper in caliber, exhibiting varying curvatures and bifurcations;The background comprises a gradient of pink to orange retinal tissue with a centralized optic disc and foveal shadow." + }, + { + "image": "DRIVE\\test\\annotations\\0gt.png", + "caption": "This is a black-and-white semantic map representing the vasculature ground truth annotation from a retinal image.The name of the dataset is the DRIVE dataset.The semantic map is centrally located within the image, depicting a detailed network of retinal vessels.The size of the semantic map is consistent with the full image and is designed to represent the distribution of retinal vessels across the entirety of the retinal field depicted.The trend of the semantic map shows a dense, branching network originating from a central optic disc region, extending outwards in a fractal-like pattern with curvilinear vessels of varying thickness; the shape of the vessels is consistent with the natural anatomy of the human retinal vascular structure, with significant tapering and bifurcation." + }, + { + "image": "DRIVE\\test\\annotations\\10gt.png", + "caption": "This image is a binary semantic map or ground truth (GT) that represents the curvilinear structures of retinal vessels.The semantic map is from the DRIVE dataset.The map is centrally located within the image, with a focus on the central retinal area and less density at the periphery.The image size is symmetric and square, consistent with standard sizes for the DRIVE dataset, typically 584x565 pixels.The trend of the semantic map is branching and arborescent, with an origin at the optic disc from where it radiates outward in a dendritic pattern. The vessels taper from thicker primary vessels near the origin to very fine capillary-like structures at the edges, capturing the hierarchical and fractal nature of retinal vasculature." + }, + { + "image": "DRIVE\\test\\annotations\\11gt.png", + "caption": "This is a black and white semantic map showcasing a network of curvilinear structures representative of retinal vessels; identified as a ground truth (GT) image for vessel segmentation.The image is from the DRIVE dataset.The semantic map is centralized within the image, featuring a dense network of vessels originating from an optic disc-like structure at the top left corner, branching towards the periphery.The size of the semantic map is full-frame, covering the entirety of the given image dimensions, allowing detailed representation of the vessel network without cropping or border artifacts.The trend of the semantic map is a radiating pattern emanating from the top left, with bifurcations creating both thick primary vessel structures and thinner secondary vessels. The shape of the vessel network is intricate, with multiple curving lines that taper from thicker to thinner as they extend outward from the optic disc area, simulating the natural branching pattern seen in human retinal blood vessels." + }, + { + "image": "DRIVE\\test\\annotations\\12gt.png", + "caption": "This is a black and white semantic map (ground truth, GT) depicting the vascular network in a retinal image.The dataset is named the DRIVE dataset.The semantic map is centrally located in the image, covering the entirety of the image canvas.The size of the semantic map is consistent with the image resolution, which is 512x512 pixels.The trend and shape of the semantic map show a complex network of branching curvilinear structures resembling blood vessels, with varying thickness and radiating from a central, denser circular area towards the periphery; there are bifurcations, crossovers, and terminal points typical of retinal vasculature." + }, + { + "image": "DRIVE\\test\\annotations\\13gt.png", + "caption": "This image is a binary semantic map representing the ground truth (GT) of retinal vessels from an ophthalmic study, consisting of thin white lines on a black background, depicting curvilinear structures corresponding to the vasculature.The name of the dataset is the DRIVE dataset.The semantic map is centrally located within the image, extending to all edges, with the highest concentration of curvilinear structures occupying the central area and fewer extending towards the periphery.The size of the semantic map is consistent with typical DRIVE dataset dimensions; however, the exact pixel dimensions cannot be determined without additional information.The trend of the semantic map shows a retinal vascular tree with a central optic disc region from where vessels emanate; the vessels bifurcate progressively creating a dense network in the central area with finer branches towards the periphery; shapes include thicker primary vessels near the optic disc and progressively finer secondary and tertiary branches displaying an arborized pattern typical of retinal vasculature." + }, + { + "image": "DRIVE\\test\\annotations\\14gt.png", + "caption": "The image depicts a high-contrast semantic map, or ground truth (GT), delineating the curvilinear vascular structures typical of a retinal image; 2. The map is sourced from the DRIVE dataset; 3. The mapped vessels are centrally located within the image, emanating from an optic disc region and radiating outward; 4. The size of the semantic map is equivalent to the image size, covering the entire field of view to include the entire arborized vascular network; 5. The trend of the vessels demonstrates a branching pattern from larger central vessels to successively smaller peripheral branches, with the shape of the map following a tree-like or dendritic structure characteristic of retinal blood vessels." + }, + { + "image": "DRIVE\\test\\annotations\\15gt.png", + "caption": "Semantic map of retinal vessels depicting the curvilinear network of vessels as ground truth (GT) representation for feature capture.DRIVE dataset.The semantic map is centralized in the image, covering the majority of the space with a focal dense network area slightly off-centered towards the top right portion.The image is a high-contrast binary map with the vessels exclusively in white on a black background, indicating the binary pixel classification for vessel representation.The vessels depicted vary in width, with the thickest vessels centrally located, branching out into progressively finer vessels towards the periphery; the overall trend of the vessels radiates from the central optic disc region, exhibiting a branching and curvilinear pattern that diminishes in density towards the image edges." + }, + { + "image": "DRIVE\\test\\annotations\\16gt.png", + "caption": "Black and white semantic map depicting retinal vessel structures; 2. DRIVE dataset; 3. Vessels are centrally concentrated while extending towards the periphery; 4. The map is square, occupying the entire image area; 5. The vessels display a branching tree-like pattern with curvilinear shapes of varying thickness and length." + }, + { + "image": "DRIVE\\test\\annotations\\17gt.png", + "caption": "Black-and-white semantic map showcasing a network of curvilinear structures resembling blood vessels as a ground truth (GT) representation.DRIVE dataset.The semantic map is centered and occupies the entirety of the square image frame, with more dense vascular structures observed toward the central region, gradually thinning out towards the periphery.The size of the semantic map is equal to the resolution of the image, indicating a one-to-one correspondence between the map details and the image pixels.Trend and shape: The semantic map displays a branching pattern emanating from a central, thicker vessel structure; smaller vessels bifurcate at various angles, ranging from acute to obtuse, creating an intricate network. The vessels taper in width as they extend away from the center, with the thinnest vessels appearing as fine lines that terminate at the image's edges." + }, + { + "image": "DRIVE\\test\\annotations\\18gt.png", + "caption": "Black and white semantic map depicting the retinal vascular structure as ground truth (GT) for image analysis.DRIVE dataset.The semantic map is centered in the square image, with vessels extending to the edges.The size of the semantic map occupies the entire image field; resolution appears to be 512x512 pixels.The vessels display a branching, tree-like pattern with varying thickness; thicker central vessels radiate out from an origin point positioned slightly off-center to the right, with thinner branches diverging at acute and obtuse angles throughout the image." + }, + { + "image": "DRIVE\\test\\annotations\\19gt.png", + "caption": "This is a high-contrast, black-and-white semantic map, specifically a ground truth (GT) representation of retinal vessels.Dataset name: DRIVE (Digital Retinal Images for Vessel Extraction).The semantic map uniformly occupies the central region of the image, with dominant vessels extending from the center to the periphery.The map is a large, circular field, consistent with the typical field of view for retinal imaging, covering nearly the entire image area.The vessels exhibit a branching, tree-like structure with a single central trunk vessel that bifurcates into smaller branches; these vessels vary in thickness and curve through the image space, showing both linear and sinuous segments." + }, + { + "image": "DRIVE\\test\\annotations\\1gt.png", + "caption": "Semantic map (GT) depicting retinal vessels;DRIVE dataset;Vessels are centrally located, extending outwards to all edges of the image;Image size is 512x512 pixels;The vessels display a branching tree-like structure with a central thicker vessel bifurcating into progressively thinner vessels, exhibiting both linear and curved segments." + }, + { + "image": "DRIVE\\test\\annotations\\2gt.png", + "caption": "Black-and-white semantic map representing the network of retinal vessels;DRIVE dataset;The semantic map is centralized, covering the majority of the image with a focus around the middle where a dense network of vessels is present;The map is high-contrast with vessels displayed in white against a black background;The shapes of the vessels are curvilinear and branching, with a central thicker vessel radiating thinner vessels outward in various directions." + }, + { + "image": "DRIVE\\test\\annotations\\3gt.png", + "caption": "This is a high-contrast semantic map depicting a network of retinal blood vessels against a black background, indicating it's a ground truth (GT) map.The image is from the DRIVE dataset.The semantic map displays white curvilinear structures centrally located and radiating outwards, covering the majority of the image field.The dimensions of the semantic map are equal, suggesting a square aspect ratio consistent with the common format for the DRIVE dataset images, which are typically 584x565 pixels.The trend of the semantic map shows a central, thicker vessel branching into thinner vessels toward the periphery; the shapes of the vessels are curved and intertwined, simulating the complex vasculature in a human retina." + }, + { + "image": "DRIVE\\test\\annotations\\4gt.png", + "caption": "Semantic map displaying the vascular network as curvilinear objects against a black background, indicative of ground truth (GT) labeling for image analysis; 2. DRIVE dataset; 3. The semantic map is centrally located within the image, with the main vascular structure emanating from the optic disc area positioned toward the left and extending outwards; 4. The semantic map spans the entire image, which appears to be square in shape, suggesting a size ratio of 1:1; 5. The trend of the semantic map shows a branching pattern characteristic of retinal blood vessels, with a decreasing caliber as the branches extend from the main vessel. The shape of the mapped vessels ranges from thick, primary vessels near the center to fine, delicate secondary and tertiary branches extending to the periphery of the map." + }, + { + "image": "DRIVE\\test\\annotations\\5gt.png", + "caption": "This is a high-contrast semantic map or ground truth (GT), presenting a network of curvilinear structures against a black background which represents the vessels within a retinal image.The semantic map is from the DRIVE (Digital Retinal Images for Vessel Extraction) dataset.The map is centrally located, featuring a dense clustering of lines at the center which radiate outward towards the periphery of the circular field.The semantic map spans the entirety of the image space, maximally utilizing the dimensions of the image, which appears to be of square proportion.The curvilinear structures display a branching, tree-like pattern; originating from a central, thicker vessel that bifurcates into progressively thinner vessels towards the outer limits of the map, mimicking the structure of retinal blood vessels." + }, + { + "image": "DRIVE\\test\\annotations\\6gt.png", + "caption": "This image is a high-contrast semantic map or ground truth (GT) displaying the vascular structure of the retina;The name of the dataset is the DRIVE dataset;The semantic map occupies the entire image, centrally located with a focal point slightly to the right of the image center from which the vessels appear to emanate;The size of the semantic map is equal to the total image size, which is a square aspect ratio;The trend of the semantic map shows a complex branching pattern originating from a central retinal artery, with diminishing thickness as the vessels branch outward forming a tree-like structure; the shape of the vessels is curvilinear with varying curvature and tortuosity, exhibiting both smooth arcs and sharp turns." + }, + { + "image": "DRIVE\\test\\annotations\\7gt.png", + "caption": "This image depicts a high-contrast semantic map of retinal blood vessels, representing the ground truth (GT) for a curvilinear object detection task.The name of the dataset is DRIVE.The semantic map is centered in the image, covering the majority of the image area with a focus on the central region and spreading towards the periphery.The size of the semantic map occupies the full image resolution which appears to be square in shape, suggesting a possible size of 512x512 pixels or similar based on common dataset resolutions.The trend and shape of the semantic map show a complex branching pattern of vessels varying in width; the primary vessel originates from the optic disc region (not visible) and bifurcates into smaller vessels exhibiting both gradual curves and sharper angles, indicative of retinal vasculature architecture." + }, + { + "image": "DRIVE\\test\\annotations\\8gt.png", + "caption": "Black and white image depicting a semantic map, or ground truth (GT), representing the network of curvilinear structures akin to blood vessels;DRIVE dataset;The semantic map occupies the entire image, centralized with structures extending to all borders;Image dimensions are 512x512 pixels with the semantic map's vessels varying in width, some as thin as 1 pixel and others broader, up to 10 pixels wide;The curvilinear structures exhibit a branching pattern, starting from a thicker central vessel and tapering into finer branches; these vessels curve smoothly throughout the image, resembling an intricate tree-like or river delta structure." + }, + { + "image": "DRIVE\\test\\annotations\\9gt.png", + "caption": "A high-contrast semantic map showing a network of retinal blood vessels in white on a black background, indicating it is a ground truth (GT) layout;From the DRIVE dataset;The semantic map is centrally located with the main vessel structure emanating from the optic disc at the centre towards the periphery of the image;The size of the semantic map is consistent with a high-resolution fundus imaging, covering the entire field of the image with varying vessel thicknesses;The trend of the semantic map is a branching pattern originating from a central thick vessel (optic disc) with bifurcations leading to progressively finer vessels; the overall shape resembles a tree-like vascular structure with multiple arching and interconnecting vessels." + } +] \ No newline at end of file diff --git a/feature_combiner.py b/feature_combiner.py new file mode 100644 index 0000000000000000000000000000000000000000..accc2541c24d8033feee7fd04c1603e123924c73 --- /dev/null +++ b/feature_combiner.py @@ -0,0 +1,94 @@ +import json +import random + +class FeatureCombiner(): + def __init__(self, json_file, dataset=None) -> None: + with open(json_file, "r") as f: + data = json.load(f) + + self.data = data + self.seg_data = [entry for entry in self.data if "annotations" in entry["image"]] + self.img_data = [entry for entry in self.data if "images" in entry["image"]] + + self.img_data = [entry for entry in self.img_data if dataset in entry["dataset"]] + self.seg_data = [entry for entry in self.seg_data if dataset in entry["dataset"]] + + self.dataset_field = dataset + if self.dataset_field is None: + self.feature_name = ["dataset", "location", "size", "trend_shape"] + else: + self.feature_name = ["location", "size", "trend_shape"] + + def combine(self, is_seg_only=True, debug=False): + features_seg = [] + features_img = [] + # 选择seg_data的overview，这里假设每个entry中都有"overview"键 + seg_overview_entry = random.choice(self.seg_data) + overview_seg = seg_overview_entry["overview"] + overview_img = self._find_img_entry_by_seg_entry(seg_overview_entry)["overview"] + + features_seg.append(overview_seg) + features_img.append(overview_img) + if self.dataset_field != None: + features_seg.append(self.dataset_field) + features_img.append(self.dataset_field) + else: + raise "Not implement" + + if not debug: + tmp_f_seg = [] + tmp_f_img = [] + # 根据is_seg_only选择数据集 + data = self.seg_data if is_seg_only else self.data + for feature in self.feature_name: + # 随机选择特征，这里假设每个entry中都有这些feature_name中定义的键 + entry_seg = random.choice(data) + entry_img = self._find_img_entry_by_seg_entry(entry_seg) + tmp_f_seg.append(entry_seg[feature]) + tmp_f_img.append(entry_img[feature]) + features_seg = features_seg + tmp_f_seg + features_img = features_img + tmp_f_img + + caption_seg = "" + for sentence in features_seg: + # 整理sentence: 删除末尾的标点符号，去掉结尾多余的空格，然后在结尾添加分号，最后拼接到caption中 + sentence = sentence.rstrip(';.!?') # 删除末尾的标点符号 + sentence = sentence.strip() # 去掉结尾多余的空格 + sentence += ";" # 在结尾添加分号 + caption_seg += sentence + " " # 拼接到caption中，并添加一个空格以分隔句子 + + # 删除caption最后的分号和空格 + caption_seg = caption_seg.rstrip('; ') + + caption_img = "" + for sentence in features_img: + # 整理sentence: 删除末尾的标点符号，去掉结尾多余的空格，然后在结尾添加分号，最后拼接到caption中 + sentence = sentence.rstrip(';.!?') # 删除末尾的标点符号 + sentence = sentence.strip() # 去掉结尾多余的空格 + sentence += ";" # 在结尾添加分号 + caption_img += sentence + " " # 拼接到caption中，并添加一个空格以分隔句子 + + # 删除caption最后的分号和空格 + caption_img = caption_img.rstrip('; ') + + return caption_seg, caption_img + + def _find_img_entry_by_seg_entry(self, seg_entry): + seg_path = seg_entry["image"] + file_name = seg_path.split('/')[-1].split(".")[0] + if "gt" in file_name: + file_name = file_name.replace("gt", "img") + + for entry in self.img_data: + if file_name+"." in entry["image"]: + return entry + + raise "No entry find" + + +if __name__ == "__main__": + json_file = r"/data/leiqin/dataset_curvilinear/dataset_curvilinear/crack/crack.json" + fc = FeatureCombiner(json_file,"Crack500 dataset") + for _ in range(9999): + caption1, caption2 = fc.combine() + print(caption1, caption2) diff --git a/model/ControlnetPipeline.py b/model/ControlnetPipeline.py new file mode 100644 index 0000000000000000000000000000000000000000..d726a052633d259b081fd7e19f538c1bc33f6b08 --- /dev/null +++ b/model/ControlnetPipeline.py @@ -0,0 +1,507 @@ +from typing import Any, Callable, Dict, List, Optional, Union +from diffusers.pipelines.controlnet.pipeline_controlnet import StableDiffusionControlNetPipeline, EXAMPLE_DOC_STRING +from diffusers.pipelines.controlnet.multicontrolnet import MultiControlNetModel +from diffusers.utils import logging, replace_example_docstring +from diffusers.image_processor import PipelineImageInput +from diffusers.utils.torch_utils import is_compiled_module, is_torch_version +from diffusers.pipelines.stable_diffusion.pipeline_output import StableDiffusionPipelineOutput + +import torch.nn.functional as F +import torch +from .controlnet_SPADE import ControlNetModel + +logger = logging.get_logger(__name__) # pylint: disable=invalid-name + +class StableDiffusionControlNetPipeline_SPADE(StableDiffusionControlNetPipeline): + def check_inputs( + self, + prompt, + image, + callback_steps, + negative_prompt=None, + prompt_embeds=None, + negative_prompt_embeds=None, + controlnet_conditioning_scale=1.0, + control_guidance_start=0.0, + control_guidance_end=1.0, + ): + if (callback_steps is None) or ( + callback_steps is not None and (not isinstance(callback_steps, int) or callback_steps <= 0) + ): + raise ValueError( + f"`callback_steps` has to be a positive integer but is {callback_steps} of type" + f" {type(callback_steps)}." + ) + + if prompt is not None and prompt_embeds is not None: + raise ValueError( + f"Cannot forward both `prompt`: {prompt} and `prompt_embeds`: {prompt_embeds}. Please make sure to" + " only forward one of the two." + ) + elif prompt is None and prompt_embeds is None: + raise ValueError( + "Provide either `prompt` or `prompt_embeds`. Cannot leave both `prompt` and `prompt_embeds` undefined." + ) + elif prompt is not None and (not isinstance(prompt, str) and not isinstance(prompt, list)): + raise ValueError(f"`prompt` has to be of type `str` or `list` but is {type(prompt)}") + + if negative_prompt is not None and negative_prompt_embeds is not None: + raise ValueError( + f"Cannot forward both `negative_prompt`: {negative_prompt} and `negative_prompt_embeds`:" + f" {negative_prompt_embeds}. Please make sure to only forward one of the two." + ) + + if prompt_embeds is not None and negative_prompt_embeds is not None: + if prompt_embeds.shape != negative_prompt_embeds.shape: + raise ValueError( + "`prompt_embeds` and `negative_prompt_embeds` must have the same shape when passed directly, but" + f" got: `prompt_embeds` {prompt_embeds.shape} != `negative_prompt_embeds`" + f" {negative_prompt_embeds.shape}." + ) + + # `prompt` needs more sophisticated handling when there are multiple + # conditionings. + if isinstance(self.controlnet, MultiControlNetModel): + if isinstance(prompt, list): + logger.warning( + f"You have {len(self.controlnet.nets)} ControlNets and you have passed {len(prompt)}" + " prompts. The conditionings will be fixed across the prompts." + ) + + # Check `image` + is_compiled = hasattr(F, "scaled_dot_product_attention") and isinstance( + self.controlnet, torch._dynamo.eval_frame.OptimizedModule + ) + if ( + isinstance(self.controlnet, ControlNetModel) + or is_compiled + and isinstance(self.controlnet._orig_mod, ControlNetModel) + ): + self.check_image(image, prompt, prompt_embeds) + elif ( + isinstance(self.controlnet, MultiControlNetModel) + or is_compiled + and isinstance(self.controlnet._orig_mod, MultiControlNetModel) + ): + if not isinstance(image, list): + raise TypeError("For multiple controlnets: `image` must be type `list`") + + # When `image` is a nested list: + # (e.g. [[canny_image_1, pose_image_1], [canny_image_2, pose_image_2]]) + elif any(isinstance(i, list) for i in image): + raise ValueError("A single batch of multiple conditionings are supported at the moment.") + elif len(image) != len(self.controlnet.nets): + raise ValueError( + f"For multiple controlnets: `image` must have the same length as the number of controlnets, but got {len(image)} images and {len(self.controlnet.nets)} ControlNets." + ) + + for image_ in image: + self.check_image(image_, prompt, prompt_embeds) + else: + assert False + + # Check `controlnet_conditioning_scale` + if ( + isinstance(self.controlnet, ControlNetModel) + or is_compiled + and isinstance(self.controlnet._orig_mod, ControlNetModel) + ): + if not isinstance(controlnet_conditioning_scale, float): + raise TypeError("For single controlnet: `controlnet_conditioning_scale` must be type `float`.") + elif ( + isinstance(self.controlnet, MultiControlNetModel) + or is_compiled + and isinstance(self.controlnet._orig_mod, MultiControlNetModel) + ): + if isinstance(controlnet_conditioning_scale, list): + if any(isinstance(i, list) for i in controlnet_conditioning_scale): + raise ValueError("A single batch of multiple conditionings are supported at the moment.") + elif isinstance(controlnet_conditioning_scale, list) and len(controlnet_conditioning_scale) != len( + self.controlnet.nets + ): + raise ValueError( + "For multiple controlnets: When `controlnet_conditioning_scale` is specified as `list`, it must have" + " the same length as the number of controlnets" + ) + else: + assert False + + if not isinstance(control_guidance_start, (tuple, list)): + control_guidance_start = [control_guidance_start] + + if not isinstance(control_guidance_end, (tuple, list)): + control_guidance_end = [control_guidance_end] + + if len(control_guidance_start) != len(control_guidance_end): + raise ValueError( + f"`control_guidance_start` has {len(control_guidance_start)} elements, but `control_guidance_end` has {len(control_guidance_end)} elements. Make sure to provide the same number of elements to each list." + ) + + if isinstance(self.controlnet, MultiControlNetModel): + if len(control_guidance_start) != len(self.controlnet.nets): + raise ValueError( + f"`control_guidance_start`: {control_guidance_start} has {len(control_guidance_start)} elements but there are {len(self.controlnet.nets)} controlnets available. Make sure to provide {len(self.controlnet.nets)}." + ) + + for start, end in zip(control_guidance_start, control_guidance_end): + if start >= end: + raise ValueError( + f"control guidance start: {start} cannot be larger or equal to control guidance end: {end}." + ) + if start < 0.0: + raise ValueError(f"control guidance start: {start} can't be smaller than 0.") + if end > 1.0: + raise ValueError(f"control guidance end: {end} can't be larger than 1.0.") + + @torch.no_grad() + @replace_example_docstring(EXAMPLE_DOC_STRING) + def __call__( + self, + prompt: Union[str, List[str]] = None, + image: PipelineImageInput = None, + height: Optional[int] = None, + width: Optional[int] = None, + num_inference_steps: int = 50, + guidance_scale: float = 7.5, + negative_prompt: Optional[Union[str, List[str]]] = None, + num_images_per_prompt: Optional[int] = 1, + eta: float = 0.0, + generator: Optional[Union[torch.Generator, List[torch.Generator]]] = None, + latents: Optional[torch.FloatTensor] = None, + prompt_embeds: Optional[torch.FloatTensor] = None, + negative_prompt_embeds: Optional[torch.FloatTensor] = None, + output_type: Optional[str] = "pil", + return_dict: bool = True, + callback: Optional[Callable[[int, int, torch.FloatTensor], None]] = None, + callback_steps: int = 1, + cross_attention_kwargs: Optional[Dict[str, Any]] = None, + controlnet_conditioning_scale: Union[float, List[float]] = 1.0, + guess_mode: bool = False, + control_guidance_start: Union[float, List[float]] = 0.0, + control_guidance_end: Union[float, List[float]] = 1.0, + clip_skip: Optional[int] = None, + ): + r""" + The call function to the pipeline for generation. + + Args: + prompt (`str` or `List[str]`, *optional*): + The prompt or prompts to guide image generation. If not defined, you need to pass `prompt_embeds`. + image (`torch.FloatTensor`, `PIL.Image.Image`, `np.ndarray`, `List[torch.FloatTensor]`, `List[PIL.Image.Image]`, `List[np.ndarray]`,: + `List[List[torch.FloatTensor]]`, `List[List[np.ndarray]]` or `List[List[PIL.Image.Image]]`): + The ControlNet input condition to provide guidance to the `unet` for generation. If the type is + specified as `torch.FloatTensor`, it is passed to ControlNet as is. `PIL.Image.Image` can also be + accepted as an image. The dimensions of the output image defaults to `image`'s dimensions. If height + and/or width are passed, `image` is resized accordingly. If multiple ControlNets are specified in + `init`, images must be passed as a list such that each element of the list can be correctly batched for + input to a single ControlNet. + height (`int`, *optional*, defaults to `self.unet.config.sample_size * self.vae_scale_factor`): + The height in pixels of the generated image. + width (`int`, *optional*, defaults to `self.unet.config.sample_size * self.vae_scale_factor`): + The width in pixels of the generated image. + num_inference_steps (`int`, *optional*, defaults to 50): + The number of denoising steps. More denoising steps usually lead to a higher quality image at the + expense of slower inference. + guidance_scale (`float`, *optional*, defaults to 7.5): + A higher guidance scale value encourages the model to generate images closely linked to the text + `prompt` at the expense of lower image quality. Guidance scale is enabled when `guidance_scale > 1`. + negative_prompt (`str` or `List[str]`, *optional*): + The prompt or prompts to guide what to not include in image generation. If not defined, you need to + pass `negative_prompt_embeds` instead. Ignored when not using guidance (`guidance_scale < 1`). + num_images_per_prompt (`int`, *optional*, defaults to 1): + The number of images to generate per prompt. + eta (`float`, *optional*, defaults to 0.0): + Corresponds to parameter eta (η) from the [DDIM](https://arxiv.org/abs/2010.02502) paper. Only applies + to the [`~schedulers.DDIMScheduler`], and is ignored in other schedulers. + generator (`torch.Generator` or `List[torch.Generator]`, *optional*): + A [`torch.Generator`](https://pytorch.org/docs/stable/generated/torch.Generator.html) to make + generation deterministic. + latents (`torch.FloatTensor`, *optional*): + Pre-generated noisy latents sampled from a Gaussian distribution, to be used as inputs for image + generation. Can be used to tweak the same generation with different prompts. If not provided, a latents + tensor is generated by sampling using the supplied random `generator`. + prompt_embeds (`torch.FloatTensor`, *optional*): + Pre-generated text embeddings. Can be used to easily tweak text inputs (prompt weighting). If not + provided, text embeddings are generated from the `prompt` input argument. + negative_prompt_embeds (`torch.FloatTensor`, *optional*): + Pre-generated negative text embeddings. Can be used to easily tweak text inputs (prompt weighting). If + not provided, `negative_prompt_embeds` are generated from the `negative_prompt` input argument. + output_type (`str`, *optional*, defaults to `"pil"`): + The output format of the generated image. Choose between `PIL.Image` or `np.array`. + return_dict (`bool`, *optional*, defaults to `True`): + Whether or not to return a [`~pipelines.stable_diffusion.StableDiffusionPipelineOutput`] instead of a + plain tuple. + callback (`Callable`, *optional*): + A function that calls every `callback_steps` steps during inference. The function is called with the + following arguments: `callback(step: int, timestep: int, latents: torch.FloatTensor)`. + callback_steps (`int`, *optional*, defaults to 1): + The frequency at which the `callback` function is called. If not specified, the callback is called at + every step. + cross_attention_kwargs (`dict`, *optional*): + A kwargs dictionary that if specified is passed along to the [`AttentionProcessor`] as defined in + [`self.processor`](https://github.com/huggingface/diffusers/blob/main/src/diffusers/models/attention_processor.py). + controlnet_conditioning_scale (`float` or `List[float]`, *optional*, defaults to 1.0): + The outputs of the ControlNet are multiplied by `controlnet_conditioning_scale` before they are added + to the residual in the original `unet`. If multiple ControlNets are specified in `init`, you can set + the corresponding scale as a list. + guess_mode (`bool`, *optional*, defaults to `False`): + The ControlNet encoder tries to recognize the content of the input image even if you remove all + prompts. A `guidance_scale` value between 3.0 and 5.0 is recommended. + control_guidance_start (`float` or `List[float]`, *optional*, defaults to 0.0): + The percentage of total steps at which the ControlNet starts applying. + control_guidance_end (`float` or `List[float]`, *optional*, defaults to 1.0): + The percentage of total steps at which the ControlNet stops applying. + clip_skip (`int`, *optional*): + Number of layers to be skipped from CLIP while computing the prompt embeddings. A value of 1 means that + the output of the pre-final layer will be used for computing the prompt embeddings. + + Examples: + + Returns: + [`~pipelines.stable_diffusion.StableDiffusionPipelineOutput`] or `tuple`: + If `return_dict` is `True`, [`~pipelines.stable_diffusion.StableDiffusionPipelineOutput`] is returned, + otherwise a `tuple` is returned where the first element is a list with the generated images and the + second element is a list of `bool`s indicating whether the corresponding generated image contains + "not-safe-for-work" (nsfw) content. + """ + controlnet = self.controlnet._orig_mod if is_compiled_module(self.controlnet) else self.controlnet + + # align format for control guidance + if not isinstance(control_guidance_start, list) and isinstance(control_guidance_end, list): + control_guidance_start = len(control_guidance_end) * [control_guidance_start] + elif not isinstance(control_guidance_end, list) and isinstance(control_guidance_start, list): + control_guidance_end = len(control_guidance_start) * [control_guidance_end] + elif not isinstance(control_guidance_start, list) and not isinstance(control_guidance_end, list): + mult = len(controlnet.nets) if isinstance(controlnet, MultiControlNetModel) else 1 + control_guidance_start, control_guidance_end = mult * [control_guidance_start], mult * [ + control_guidance_end + ] + + # 1. Check inputs. Raise error if not correct + self.check_inputs( + prompt, + image, + callback_steps, + negative_prompt, + prompt_embeds, + negative_prompt_embeds, + controlnet_conditioning_scale, + control_guidance_start, + control_guidance_end, + ) + + # 2. Define call parameters + if prompt is not None and isinstance(prompt, str): + batch_size = 1 + elif prompt is not None and isinstance(prompt, list): + batch_size = len(prompt) + else: + batch_size = prompt_embeds.shape[0] + + device = self._execution_device + # here `guidance_scale` is defined analog to the guidance weight `w` of equation (2) + # of the Imagen paper: https://arxiv.org/pdf/2205.11487.pdf . `guidance_scale = 1` + # corresponds to doing no classifier free guidance. + do_classifier_free_guidance = guidance_scale > 1.0 + + if isinstance(controlnet, MultiControlNetModel) and isinstance(controlnet_conditioning_scale, float): + controlnet_conditioning_scale = [controlnet_conditioning_scale] * len(controlnet.nets) + + global_pool_conditions = ( + controlnet.config.global_pool_conditions + if isinstance(controlnet, ControlNetModel) + else controlnet.nets[0].config.global_pool_conditions + ) + guess_mode = guess_mode or global_pool_conditions + + # 3. Encode input prompt + text_encoder_lora_scale = ( + cross_attention_kwargs.get("scale", None) if cross_attention_kwargs is not None else None + ) + prompt_embeds, negative_prompt_embeds = self.encode_prompt( + prompt, + device, + num_images_per_prompt, + do_classifier_free_guidance, + negative_prompt, + prompt_embeds=prompt_embeds, + negative_prompt_embeds=negative_prompt_embeds, + lora_scale=text_encoder_lora_scale, + clip_skip=clip_skip, + ) + # For classifier free guidance, we need to do two forward passes. + # Here we concatenate the unconditional and text embeddings into a single batch + # to avoid doing two forward passes + if do_classifier_free_guidance: + prompt_embeds = torch.cat([negative_prompt_embeds, prompt_embeds]) + + # 4. Prepare image + if isinstance(controlnet, ControlNetModel): + image = self.prepare_image( + image=image, + width=width, + height=height, + batch_size=batch_size * num_images_per_prompt, + num_images_per_prompt=num_images_per_prompt, + device=device, + dtype=controlnet.dtype, + do_classifier_free_guidance=do_classifier_free_guidance, + guess_mode=guess_mode, + ) + height, width = image.shape[-2:] + elif isinstance(controlnet, MultiControlNetModel): + images = [] + + for image_ in image: + image_ = self.prepare_image( + image=image_, + width=width, + height=height, + batch_size=batch_size * num_images_per_prompt, + num_images_per_prompt=num_images_per_prompt, + device=device, + dtype=controlnet.dtype, + do_classifier_free_guidance=do_classifier_free_guidance, + guess_mode=guess_mode, + ) + + images.append(image_) + + image = images + height, width = image[0].shape[-2:] + else: + assert False + + # 5. Prepare timesteps + self.scheduler.set_timesteps(num_inference_steps, device=device) + timesteps = self.scheduler.timesteps + + # 6. Prepare latent variables + num_channels_latents = self.unet.config.in_channels + latents = self.prepare_latents( + batch_size * num_images_per_prompt, + num_channels_latents, + height, + width, + prompt_embeds.dtype, + device, + generator, + latents, + ) + + # 7. Prepare extra step kwargs. TODO: Logic should ideally just be moved out of the pipeline + extra_step_kwargs = self.prepare_extra_step_kwargs(generator, eta) + + # 7.1 Create tensor stating which controlnets to keep + controlnet_keep = [] + for i in range(len(timesteps)): + keeps = [ + 1.0 - float(i / len(timesteps) < s or (i + 1) / len(timesteps) > e) + for s, e in zip(control_guidance_start, control_guidance_end) + ] + controlnet_keep.append(keeps[0] if isinstance(controlnet, ControlNetModel) else keeps) + + # 8. Denoising loop + num_warmup_steps = len(timesteps) - num_inference_steps * self.scheduler.order + is_unet_compiled = is_compiled_module(self.unet) + is_controlnet_compiled = is_compiled_module(self.controlnet) + is_torch_higher_equal_2_1 = is_torch_version(">=", "2.1") + with self.progress_bar(total=num_inference_steps) as progress_bar: + for i, t in enumerate(timesteps): + # Relevant thread: + # https://dev-discuss.pytorch.org/t/cudagraphs-in-pytorch-2-0/1428 + if (is_unet_compiled and is_controlnet_compiled) and is_torch_higher_equal_2_1: + torch._inductor.cudagraph_mark_step_begin() + # expand the latents if we are doing classifier free guidance + latent_model_input = torch.cat([latents] * 2) if do_classifier_free_guidance else latents + latent_model_input = self.scheduler.scale_model_input(latent_model_input, t) + + # controlnet(s) inference + if guess_mode and do_classifier_free_guidance: + # Infer ControlNet only for the conditional batch. + control_model_input = latents + control_model_input = self.scheduler.scale_model_input(control_model_input, t) + controlnet_prompt_embeds = prompt_embeds.chunk(2)[1] + else: + control_model_input = latent_model_input + controlnet_prompt_embeds = prompt_embeds + + if isinstance(controlnet_keep[i], list): + cond_scale = [c * s for c, s in zip(controlnet_conditioning_scale, controlnet_keep[i])] + else: + controlnet_cond_scale = controlnet_conditioning_scale + if isinstance(controlnet_cond_scale, list): + controlnet_cond_scale = controlnet_cond_scale[0] + cond_scale = controlnet_cond_scale * controlnet_keep[i] + + down_block_res_samples, mid_block_res_sample = self.controlnet( + control_model_input, + t, + encoder_hidden_states=controlnet_prompt_embeds, + controlnet_cond=image, + conditioning_scale=cond_scale, + guess_mode=guess_mode, + return_dict=False, + ) + + if guess_mode and do_classifier_free_guidance: + # Infered ControlNet only for the conditional batch. + # To apply the output of ControlNet to both the unconditional and conditional batches, + # add 0 to the unconditional batch to keep it unchanged. + down_block_res_samples = [torch.cat([torch.zeros_like(d), d]) for d in down_block_res_samples] + mid_block_res_sample = torch.cat([torch.zeros_like(mid_block_res_sample), mid_block_res_sample]) + + # predict the noise residual + noise_pred = self.unet( + latent_model_input, + t, + encoder_hidden_states=prompt_embeds, + cross_attention_kwargs=cross_attention_kwargs, + down_block_additional_residuals=down_block_res_samples, + mid_block_additional_residual=mid_block_res_sample, + return_dict=False, + )[0] + + # perform guidance + if do_classifier_free_guidance: + noise_pred_uncond, noise_pred_text = noise_pred.chunk(2) + noise_pred = noise_pred_uncond + guidance_scale * (noise_pred_text - noise_pred_uncond) + + # compute the previous noisy sample x_t -> x_t-1 + latents = self.scheduler.step(noise_pred, t, latents, **extra_step_kwargs, return_dict=False)[0] + + # call the callback, if provided + if i == len(timesteps) - 1 or ((i + 1) > num_warmup_steps and (i + 1) % self.scheduler.order == 0): + progress_bar.update() + if callback is not None and i % callback_steps == 0: + step_idx = i // getattr(self.scheduler, "order", 1) + callback(step_idx, t, latents) + + # If we do sequential model offloading, let's offload unet and controlnet + # manually for max memory savings + if hasattr(self, "final_offload_hook") and self.final_offload_hook is not None: + self.unet.to("cpu") + self.controlnet.to("cpu") + torch.cuda.empty_cache() + + if not output_type == "latent": + image = self.vae.decode(latents / self.vae.config.scaling_factor, return_dict=False)[0] + image, has_nsfw_concept = self.run_safety_checker(image, device, prompt_embeds.dtype) + else: + image = latents + has_nsfw_concept = None + + if has_nsfw_concept is None: + do_denormalize = [True] * image.shape[0] + else: + do_denormalize = [not has_nsfw for has_nsfw in has_nsfw_concept] + + image = self.image_processor.postprocess(image, output_type=output_type, do_denormalize=do_denormalize) + + # Offload all models + self.maybe_free_model_hooks() + + if not return_dict: + return (image, has_nsfw_concept) + + return StableDiffusionPipelineOutput(images=image, nsfw_content_detected=has_nsfw_concept) \ No newline at end of file diff --git a/model/blocks/CrossAttnDownBlock2D.py b/model/blocks/CrossAttnDownBlock2D.py new file mode 100644 index 0000000000000000000000000000000000000000..7dc100b587476675728ef304f2434289a7328681 --- /dev/null +++ b/model/blocks/CrossAttnDownBlock2D.py @@ -0,0 +1,180 @@ +from typing import Any, Dict, Tuple,Optional, Union +import torch +from torch import nn +from diffusers.utils import is_torch_version +from .ResnetBlock2D import ResnetBlock2D +from diffusers.models.transformer_2d import Transformer2DModel +from diffusers.models.dual_transformer_2d import DualTransformer2DModel +from diffusers.models.resnet import Downsample2D + +class CrossAttnDownBlock2D_SPADE(nn.Module): + def __init__( + self, + in_channels: int, + out_channels: int, + temb_channels: int, + dropout: float = 0.0, + num_layers: int = 1, + transformer_layers_per_block: Union[int, Tuple[int]] = 1, + resnet_eps: float = 1e-6, + resnet_time_scale_shift: str = "default", + resnet_act_fn: str = "swish", + resnet_groups: int = 32, + resnet_pre_norm: bool = True, + num_attention_heads: int = 1, + cross_attention_dim: int = 1280, + output_scale_factor: float = 1.0, + downsample_padding: int = 1, + add_downsample: bool = True, + dual_cross_attention: bool = False, + use_linear_projection: bool = False, + only_cross_attention: bool = False, + upcast_attention: bool = False, + attention_type: str = "default", + SPADE_chs = (320, 640, 1280, 1280), + normalization_type = None, + is_first = False, + is_crossAttn = True, + ): + super().__init__() + resnets = [] + attentions = [] + + self.has_cross_attention = True + self.num_attention_heads = num_attention_heads + if isinstance(transformer_layers_per_block, int): + transformer_layers_per_block = [transformer_layers_per_block] * num_layers + + for i in range(num_layers): + in_channels = in_channels if i == 0 else out_channels + + resnets.append( + ResnetBlock2D( + in_channels=in_channels, + out_channels=out_channels, + temb_channels=temb_channels, + eps=resnet_eps, + groups=resnet_groups, + dropout=dropout, + time_embedding_norm=resnet_time_scale_shift, + non_linearity=resnet_act_fn, + output_scale_factor=output_scale_factor, + pre_norm=resnet_pre_norm, + SPADE_chs = SPADE_chs, + normalization_type=normalization_type, + half_the_ch=True if not is_first and (i == 0) else False, + is_crossAttn = is_crossAttn + ) + ) + + + if not dual_cross_attention: + attentions.append( + Transformer2DModel( + num_attention_heads, + out_channels // num_attention_heads, + in_channels=out_channels, + num_layers=transformer_layers_per_block[i], + cross_attention_dim=cross_attention_dim, + norm_num_groups=resnet_groups, + use_linear_projection=use_linear_projection, + only_cross_attention=only_cross_attention, + upcast_attention=upcast_attention, + attention_type=attention_type, + ) + ) + else: + attentions.append( + DualTransformer2DModel( + num_attention_heads, + out_channels // num_attention_heads, + in_channels=out_channels, + num_layers=1, + cross_attention_dim=cross_attention_dim, + norm_num_groups=resnet_groups, + ) + ) + self.attentions = nn.ModuleList(attentions) + self.resnets = nn.ModuleList(resnets) + + if add_downsample: + self.downsamplers = nn.ModuleList( + [ + Downsample2D( + out_channels, use_conv=True, out_channels=out_channels, padding=downsample_padding, name="op" + ) + ] + ) + else: + self.downsamplers = None + + self.gradient_checkpointing = False + + def forward( + self, + hidden_states: torch.FloatTensor, + segmap, + temb: Optional[torch.FloatTensor] = None, + encoder_hidden_states: Optional[torch.FloatTensor] = None, + attention_mask: Optional[torch.FloatTensor] = None, + cross_attention_kwargs: Optional[Dict[str, Any]] = None, + encoder_attention_mask: Optional[torch.FloatTensor] = None, + additional_residuals: Optional[torch.FloatTensor] = None, + ) -> Tuple[torch.FloatTensor, Tuple[torch.FloatTensor, ...]]: + output_states = () + + lora_scale = cross_attention_kwargs.get("scale", 1.0) if cross_attention_kwargs is not None else 1.0 + + blocks = list(zip(self.resnets, self.attentions)) + + for i, (resnet, attn) in enumerate(blocks): + if self.training and self.gradient_checkpointing: + + def create_custom_forward(module, return_dict=None): + def custom_forward(*inputs): + if return_dict is not None: + return module(*inputs, return_dict=return_dict) + else: + return module(*inputs) + + return custom_forward + + ckpt_kwargs: Dict[str, Any] = {"use_reentrant": False} if is_torch_version(">=", "1.11.0") else {} + hidden_states = torch.utils.checkpoint.checkpoint( + create_custom_forward(resnet), + hidden_states, + temb, + **ckpt_kwargs, + ) + hidden_states = attn( + hidden_states, + encoder_hidden_states=encoder_hidden_states, + cross_attention_kwargs=cross_attention_kwargs, + attention_mask=attention_mask, + encoder_attention_mask=encoder_attention_mask, + return_dict=False, + )[0] + else: + hidden_states = resnet(hidden_states, temb, segmaps=segmap,scale=lora_scale) + hidden_states = attn( + hidden_states, + encoder_hidden_states=encoder_hidden_states, + cross_attention_kwargs=cross_attention_kwargs, + attention_mask=attention_mask, + encoder_attention_mask=encoder_attention_mask, + return_dict=False, + )[0] + + # apply additional residuals to the output of the last pair of resnet and attention blocks + if i == len(blocks) - 1 and additional_residuals is not None: + hidden_states = hidden_states + additional_residuals + + output_states = output_states + (hidden_states,) + + if self.downsamplers is not None: + for downsampler in self.downsamplers: + hidden_states = downsampler(hidden_states, scale=lora_scale) + + output_states = output_states + (hidden_states,) + + return hidden_states, output_states \ No newline at end of file diff --git a/model/blocks/DownBlock2D.py b/model/blocks/DownBlock2D.py new file mode 100644 index 0000000000000000000000000000000000000000..40b2edb61f152df422d5c279083c80552c16625b --- /dev/null +++ b/model/blocks/DownBlock2D.py @@ -0,0 +1,100 @@ +from typing import Optional, Tuple +from torch import nn +from diffusers.models.resnet import Downsample2D +import torch +from diffusers.utils import is_torch_version +from .ResnetBlock2D import ResnetBlock2D + +class DownBlock2D(nn.Module): + def __init__( + self, + in_channels: int, + out_channels: int, + temb_channels: int, + dropout: float = 0.0, + num_layers: int = 1, + resnet_eps: float = 1e-6, + resnet_time_scale_shift: str = "default", + resnet_act_fn: str = "swish", + resnet_groups: int = 32, + resnet_pre_norm: bool = True, + output_scale_factor: float = 1.0, + add_downsample: bool = True, + downsample_padding: int = 1, + normalization_type = None, + SPADE_chs = (320, 640, 1280, 1280), + is_crossAttn = False, + ): + super().__init__() + resnets = [] + + for i in range(num_layers): + in_channels = in_channels if i == 0 else out_channels + resnets.append( + ResnetBlock2D( + in_channels=in_channels, + out_channels=out_channels, + temb_channels=temb_channels, + eps=resnet_eps, + groups=resnet_groups, + dropout=dropout, + time_embedding_norm=resnet_time_scale_shift, + non_linearity=resnet_act_fn, + output_scale_factor=output_scale_factor, + pre_norm=resnet_pre_norm, + SPADE_chs=SPADE_chs, + normalization_type=normalization_type, + is_crossAttn = is_crossAttn + ) + ) + + self.resnets = nn.ModuleList(resnets) + + if add_downsample: + self.downsamplers = nn.ModuleList( + [ + Downsample2D( + out_channels, use_conv=True, out_channels=out_channels, padding=downsample_padding, name="op" + ) + ] + ) + else: + self.downsamplers = None + + self.gradient_checkpointing = False + + def forward( + self, hidden_states: torch.FloatTensor, temb: Optional[torch.FloatTensor] = None, + scale: float = 1.0, segmap=None, + ) -> Tuple[torch.FloatTensor, Tuple[torch.FloatTensor, ...]]: + output_states = () + + for resnet in self.resnets: + if self.training and self.gradient_checkpointing: + + def create_custom_forward(module): + def custom_forward(*inputs): + return module(*inputs) + + return custom_forward + + if is_torch_version(">=", "1.11.0"): + hidden_states = torch.utils.checkpoint.checkpoint( + create_custom_forward(resnet), hidden_states, temb, use_reentrant=False + ) + else: + hidden_states = torch.utils.checkpoint.checkpoint( + create_custom_forward(resnet), hidden_states, temb + ) + else: + hidden_states = resnet(hidden_states, temb, scale=scale, segmaps=segmap) + + output_states = output_states + (hidden_states,) + + if self.downsamplers is not None: + for downsampler in self.downsamplers: + hidden_states = downsampler(hidden_states, scale=scale) + + output_states = output_states + (hidden_states,) + + return hidden_states, output_states \ No newline at end of file diff --git a/model/blocks/ResnetBlock2D.py b/model/blocks/ResnetBlock2D.py new file mode 100644 index 0000000000000000000000000000000000000000..1a18474a259691bc255ac4a4ecf52bc430d48bd2 --- /dev/null +++ b/model/blocks/ResnetBlock2D.py @@ -0,0 +1,255 @@ + +from typing import Optional +import torch +from diffusers.utils import USE_PEFT_BACKEND +from diffusers.models.lora import LoRACompatibleConv, LoRACompatibleLinear +from diffusers.models.normalization import AdaGroupNorm +from diffusers.models.activations import get_activation +from diffusers.models.attention_processor import SpatialNorm +from diffusers.models.resnet import upsample_2d, downsample_2d, Downsample2D, Upsample2D +import torch.nn as nn +import torch.nn.functional as F +from functools import partial +from .SPADEGroupNorm import SPADEGroupNorm + + +class ResnetBlock2D(nn.Module): + r""" + A Resnet block. + + Parameters: + in_channels (`int`): The number of channels in the input. + out_channels (`int`, *optional*, default to be `None`): + The number of output channels for the first conv2d layer. If None, same as `in_channels`. + dropout (`float`, *optional*, defaults to `0.0`): The dropout probability to use. + temb_channels (`int`, *optional*, default to `512`): the number of channels in timestep embedding. + groups (`int`, *optional*, default to `32`): The number of groups to use for the first normalization layer. + groups_out (`int`, *optional*, default to None): + The number of groups to use for the second normalization layer. if set to None, same as `groups`. + eps (`float`, *optional*, defaults to `1e-6`): The epsilon to use for the normalization. + non_linearity (`str`, *optional*, default to `"swish"`): the activation function to use. + time_embedding_norm (`str`, *optional*, default to `"default"` ): Time scale shift config. + By default, apply timestep embedding conditioning with a simple shift mechanism. Choose "scale_shift" or + "ada_group" for a stronger conditioning with scale and shift. + kernel (`torch.FloatTensor`, optional, default to None): FIR filter, see + [`~models.resnet.FirUpsample2D`] and [`~models.resnet.FirDownsample2D`]. + output_scale_factor (`float`, *optional*, default to be `1.0`): the scale factor to use for the output. + use_in_shortcut (`bool`, *optional*, default to `True`): + If `True`, add a 1x1 nn.conv2d layer for skip-connection. + up (`bool`, *optional*, default to `False`): If `True`, add an upsample layer. + down (`bool`, *optional*, default to `False`): If `True`, add a downsample layer. + conv_shortcut_bias (`bool`, *optional*, default to `True`): If `True`, adds a learnable bias to the + `conv_shortcut` output. + conv_2d_out_channels (`int`, *optional*, default to `None`): the number of channels in the output. + If None, same as `out_channels`. + """ + + def __init__( + self, + *, + in_channels: int, + out_channels: Optional[int] = None, + conv_shortcut: bool = False, + dropout: float = 0.0, + temb_channels: int = 512, + groups: int = 32, + groups_out: Optional[int] = None, + pre_norm: bool = True, + eps: float = 1e-6, + non_linearity: str = "swish", + skip_time_act: bool = False, + time_embedding_norm: str = "default", # default, scale_shift, ada_group, spatial + kernel: Optional[torch.FloatTensor] = None, + output_scale_factor: float = 1.0, + use_in_shortcut: Optional[bool] = None, + up: bool = False, + down: bool = False, + conv_shortcut_bias: bool = True, + conv_2d_out_channels: Optional[int] = None, + SPADE_chs = (320, 640, 1280, 1280), + normalization_type = None, + half_the_ch = False, + is_crossAttn = None + + ): + super().__init__() + self.pre_norm = pre_norm + self.pre_norm = True + self.in_channels = in_channels + out_channels = in_channels if out_channels is None else out_channels + self.out_channels = out_channels + self.use_conv_shortcut = conv_shortcut + self.up = up + self.down = down + self.output_scale_factor = output_scale_factor + self.time_embedding_norm = time_embedding_norm + self.skip_time_act = skip_time_act + self.normalization_type = normalization_type + self.SPADE_chs = SPADE_chs + self.is_crossAttn = is_crossAttn + + linear_cls = nn.Linear if USE_PEFT_BACKEND else LoRACompatibleLinear + conv_cls = nn.Conv2d if USE_PEFT_BACKEND else LoRACompatibleConv + + if groups_out is None: + groups_out = groups + + if self.time_embedding_norm == "ada_group": + self.norm1 = AdaGroupNorm(temb_channels, in_channels, groups, eps=eps) + elif self.time_embedding_norm == "spatial": + self.norm1 = SpatialNorm(in_channels, temb_channels) + elif self.normalization_type == "SPADE": + self.norm1 = SPADEGroupNorm(in_channels=in_channels, out_channels=out_channels if not half_the_ch else int(out_channels / 2), n_hidden=out_channels, + groups=groups, eps=eps) + else: + self.norm1 = torch.nn.GroupNorm(num_groups=groups, num_channels=in_channels, eps=eps, affine=True) + + self.conv1 = conv_cls(in_channels, out_channels, kernel_size=3, stride=1, padding=1) + + if temb_channels is not None: + if self.time_embedding_norm == "default": + self.time_emb_proj = linear_cls(temb_channels, out_channels) + elif self.time_embedding_norm == "scale_shift": + self.time_emb_proj = linear_cls(temb_channels, 2 * out_channels) + elif self.time_embedding_norm == "ada_group" or self.time_embedding_norm == "spatial": + self.time_emb_proj = None + else: + raise ValueError(f"unknown time_embedding_norm : {self.time_embedding_norm} ") + else: + self.time_emb_proj = None + + if self.time_embedding_norm == "ada_group": + self.norm2 = AdaGroupNorm(temb_channels, out_channels, groups_out, eps=eps) + elif self.time_embedding_norm == "spatial": + self.norm2 = SpatialNorm(out_channels, temb_channels) + elif self.normalization_type == "SPADE": + self.norm2 = SPADEGroupNorm(in_channels=out_channels, out_channels=out_channels, n_hidden=out_channels, + groups=groups_out, eps=eps) + else: + self.norm2 = torch.nn.GroupNorm(num_groups=groups_out, num_channels=out_channels, eps=eps, affine=True) + + self.dropout = torch.nn.Dropout(dropout) + conv_2d_out_channels = conv_2d_out_channels or out_channels + self.conv2 = conv_cls(out_channels, conv_2d_out_channels, kernel_size=3, stride=1, padding=1) + + self.nonlinearity = get_activation(non_linearity) + + self.upsample = self.downsample = None + if self.up: + if kernel == "fir": + fir_kernel = (1, 3, 3, 1) + self.upsample = lambda x: upsample_2d(x, kernel=fir_kernel) + elif kernel == "sde_vp": + self.upsample = partial(F.interpolate, scale_factor=2.0, mode="nearest") + else: + self.upsample = Upsample2D(in_channels, use_conv=False) + elif self.down: + if kernel == "fir": + fir_kernel = (1, 3, 3, 1) + self.downsample = lambda x: downsample_2d(x, kernel=fir_kernel) + elif kernel == "sde_vp": + self.downsample = partial(F.avg_pool2d, kernel_size=2, stride=2) + else: + self.downsample = Downsample2D(in_channels, use_conv=False, padding=1, name="op") + + self.use_in_shortcut = self.in_channels != conv_2d_out_channels if use_in_shortcut is None else use_in_shortcut + + self.conv_shortcut = None + if self.use_in_shortcut: + self.conv_shortcut = conv_cls( + in_channels, conv_2d_out_channels, kernel_size=1, stride=1, padding=0, bias=conv_shortcut_bias + ) + + def forward(self, input_tensor, temb, scale: float = 1.0, + segmaps=None): + hidden_states = input_tensor + + if self.time_embedding_norm == "ada_group" or self.time_embedding_norm == "spatial": + hidden_states = self.norm1(hidden_states, temb) + elif self.normalization_type == "SPADE" and segmaps != None: + if self.is_crossAttn: + i = self.SPADE_chs.index(hidden_states.size(1)) + segmap = segmaps[i] + if segmap.shape != hidden_states.shape: + segmap = F.interpolate(segmap, size=hidden_states.size()[2:], mode='nearest') + elif self.is_crossAttn != None and not self.is_crossAttn: + segmap = segmaps[-1] + + hidden_states = self.norm1(hidden_states, segmap) + + else: + hidden_states = self.norm1(hidden_states) + + hidden_states = self.nonlinearity(hidden_states) + + if self.upsample is not None: + # upsample_nearest_nhwc fails with large batch sizes. see https://github.com/huggingface/diffusers/issues/984 + if hidden_states.shape[0] >= 64: + input_tensor = input_tensor.contiguous() + hidden_states = hidden_states.contiguous() + input_tensor = ( + self.upsample(input_tensor, scale=scale) + if isinstance(self.upsample, Upsample2D) + else self.upsample(input_tensor) + ) + hidden_states = ( + self.upsample(hidden_states, scale=scale) + if isinstance(self.upsample, Upsample2D) + else self.upsample(hidden_states) + ) + elif self.downsample is not None: + input_tensor = ( + self.downsample(input_tensor, scale=scale) + if isinstance(self.downsample, Downsample2D) + else self.downsample(input_tensor) + ) + hidden_states = ( + self.downsample(hidden_states, scale=scale) + if isinstance(self.downsample, Downsample2D) + else self.downsample(hidden_states) + ) + + hidden_states = self.conv1(hidden_states, scale) if not USE_PEFT_BACKEND else self.conv1(hidden_states) + + if self.time_emb_proj is not None: + if not self.skip_time_act: + temb = self.nonlinearity(temb) + temb = ( + self.time_emb_proj(temb, scale)[:, :, None, None] + if not USE_PEFT_BACKEND + else self.time_emb_proj(temb)[:, :, None, None] + ) + + if temb is not None and self.time_embedding_norm == "default": + hidden_states = hidden_states + temb + + if self.time_embedding_norm == "ada_group" or self.time_embedding_norm == "spatial": + hidden_states = self.norm2(hidden_states, temb) + elif self.normalization_type == "SPADE" and segmaps != None: + if self.is_crossAttn: + i = self.SPADE_chs.index(hidden_states.size(1)) + segmap = segmaps[i] + elif self.is_crossAttn != None and not self.is_crossAttn: + segmap = segmaps[-1] + + hidden_states = self.norm2(hidden_states, segmap) + else: + hidden_states = self.norm2(hidden_states) + + if temb is not None and self.time_embedding_norm == "scale_shift": + scale, shift = torch.chunk(temb, 2, dim=1) + hidden_states = hidden_states * (1 + scale) + shift + + hidden_states = self.nonlinearity(hidden_states) + + hidden_states = self.dropout(hidden_states) + hidden_states = self.conv2(hidden_states, scale) if not USE_PEFT_BACKEND else self.conv2(hidden_states) + + if self.conv_shortcut is not None: + input_tensor = ( + self.conv_shortcut(input_tensor, scale) if not USE_PEFT_BACKEND else self.conv_shortcut(input_tensor) + ) + + output_tensor = (input_tensor + hidden_states) / self.output_scale_factor + + return output_tensor \ No newline at end of file diff --git a/model/blocks/SPADEGroupNorm.py b/model/blocks/SPADEGroupNorm.py new file mode 100644 index 0000000000000000000000000000000000000000..15fd1f91c935fac28c5d919ef226e8264812231f --- /dev/null +++ b/model/blocks/SPADEGroupNorm.py @@ -0,0 +1,35 @@ +import torch.nn as nn + +class SPADEGroupNorm(nn.Module): + def __init__(self, in_channels, out_channels, n_hidden, + eps = 1e-5, groups = 32): + super().__init__() + + self.norm = nn.GroupNorm(groups, out_channels, affine=False) + + self.eps = eps + + self.mlp_shared = nn.Sequential( + nn.Conv2d(in_channels, n_hidden, kernel_size=3, padding=1), + nn.SiLU(), + ) + + self.mlp_gamma = nn.Conv2d(n_hidden, out_channels, kernel_size=3, padding=1) + self.mlp_beta = nn.Conv2d(n_hidden, out_channels, kernel_size=3, padding=1) + + def forward(self, x, segmap): + + # Part 1. generate parameter-free normalized activations + x = self.norm(x) + + # Part 2. produce scaling and bias conditioned on semantic map + # segmap = F.interpolate(segmap, size=x.size()[2:], mode='nearest') + if x.shape != segmap.shape: + raise "Error: x.shape {} != segmap.shape {}".format(x.shape, segmap.shape) + + actv = self.mlp_shared(segmap) + gamma = self.mlp_gamma(actv) + beta = self.mlp_beta(actv) + + # apply scale and bias + return x * (1 + gamma) + beta \ No newline at end of file diff --git a/model/blocks/UNetMidBlock2DCrossAttn.py b/model/blocks/UNetMidBlock2DCrossAttn.py new file mode 100644 index 0000000000000000000000000000000000000000..46d10d295f84a4714d00c78ed015a30c39d27f49 --- /dev/null +++ b/model/blocks/UNetMidBlock2DCrossAttn.py @@ -0,0 +1,158 @@ +from typing import Optional, Union, Tuple, Dict, Any +from torch import nn +from .ResnetBlock2D import ResnetBlock2D +from diffusers.models.transformer_2d import Transformer2DModel +from diffusers.models.unet_2d_blocks import DualTransformer2DModel +from diffusers.utils import is_torch_version +import torch + +class UNetMidBlock2DCrossAttn(nn.Module): + def __init__( + self, + in_channels: int, + temb_channels: int, + dropout: float = 0.0, + num_layers: int = 1, + transformer_layers_per_block: Union[int, Tuple[int]] = 1, + resnet_eps: float = 1e-6, + resnet_time_scale_shift: str = "default", + resnet_act_fn: str = "swish", + resnet_groups: int = 32, + resnet_pre_norm: bool = True, + num_attention_heads: int = 1, + output_scale_factor: float = 1.0, + cross_attention_dim: int = 1280, + dual_cross_attention: bool = False, + use_linear_projection: bool = False, + upcast_attention: bool = False, + attention_type: str = "default", + normalization_type = None + ): + super().__init__() + + self.has_cross_attention = True + self.num_attention_heads = num_attention_heads + resnet_groups = resnet_groups if resnet_groups is not None else min(in_channels // 4, 32) + + # support for variable transformer layers per block + if isinstance(transformer_layers_per_block, int): + transformer_layers_per_block = [transformer_layers_per_block] * num_layers + + # there is always at least one resnet + resnets = [ + ResnetBlock2D( + in_channels=in_channels, + out_channels=in_channels, + temb_channels=temb_channels, + eps=resnet_eps, + groups=resnet_groups, + dropout=dropout, + time_embedding_norm=resnet_time_scale_shift, + non_linearity=resnet_act_fn, + output_scale_factor=output_scale_factor, + pre_norm=resnet_pre_norm, + normalization_type=normalization_type, + is_crossAttn=False + ) + ] + attentions = [] + + for i in range(num_layers): + if not dual_cross_attention: + attentions.append( + Transformer2DModel( + num_attention_heads, + in_channels // num_attention_heads, + in_channels=in_channels, + num_layers=transformer_layers_per_block[i], + cross_attention_dim=cross_attention_dim, + norm_num_groups=resnet_groups, + use_linear_projection=use_linear_projection, + upcast_attention=upcast_attention, + attention_type=attention_type, + ) + ) + else: + attentions.append( + DualTransformer2DModel( + num_attention_heads, + in_channels // num_attention_heads, + in_channels=in_channels, + num_layers=1, + cross_attention_dim=cross_attention_dim, + norm_num_groups=resnet_groups, + ) + ) + resnets.append( + ResnetBlock2D( + in_channels=in_channels, + out_channels=in_channels, + temb_channels=temb_channels, + eps=resnet_eps, + groups=resnet_groups, + dropout=dropout, + time_embedding_norm=resnet_time_scale_shift, + non_linearity=resnet_act_fn, + output_scale_factor=output_scale_factor, + pre_norm=resnet_pre_norm, + normalization_type=normalization_type, + is_crossAttn=False, + ) + ) + + self.attentions = nn.ModuleList(attentions) + self.resnets = nn.ModuleList(resnets) + + self.gradient_checkpointing = False + + def forward( + self, + hidden_states: torch.FloatTensor, + temb: Optional[torch.FloatTensor] = None, + encoder_hidden_states: Optional[torch.FloatTensor] = None, + attention_mask: Optional[torch.FloatTensor] = None, + cross_attention_kwargs: Optional[Dict[str, Any]] = None, + encoder_attention_mask: Optional[torch.FloatTensor] = None, + segmap = None + ) -> torch.FloatTensor: + lora_scale = cross_attention_kwargs.get("scale", 1.0) if cross_attention_kwargs is not None else 1.0 + hidden_states = self.resnets[0](hidden_states, temb, segmaps = segmap,scale=lora_scale) + for attn, resnet in zip(self.attentions, self.resnets[1:]): + if self.training and self.gradient_checkpointing: + + def create_custom_forward(module, return_dict=None): + def custom_forward(*inputs): + if return_dict is not None: + return module(*inputs, return_dict=return_dict) + else: + return module(*inputs) + + return custom_forward + + ckpt_kwargs: Dict[str, Any] = {"use_reentrant": False} if is_torch_version(">=", "1.11.0") else {} + hidden_states = attn( + hidden_states, + encoder_hidden_states=encoder_hidden_states, + cross_attention_kwargs=cross_attention_kwargs, + attention_mask=attention_mask, + encoder_attention_mask=encoder_attention_mask, + return_dict=False, + )[0] + hidden_states = torch.utils.checkpoint.checkpoint( + create_custom_forward(resnet), + hidden_states, + temb, + **ckpt_kwargs, + ) + else: + hidden_states = attn( + hidden_states, + encoder_hidden_states=encoder_hidden_states, + cross_attention_kwargs=cross_attention_kwargs, + attention_mask=attention_mask, + encoder_attention_mask=encoder_attention_mask, + return_dict=False, + )[0] + hidden_states = resnet(hidden_states, temb, segmaps = segmap, scale=lora_scale) + + return hidden_states \ No newline at end of file diff --git a/model/blocks/__pycache__/CrossAttnDownBlock2D.cpython-310.pyc b/model/blocks/__pycache__/CrossAttnDownBlock2D.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..ab1a323ddbd7b7fb7fbe10c4b5e58e82ed5d4547 Binary files /dev/null and b/model/blocks/__pycache__/CrossAttnDownBlock2D.cpython-310.pyc differ diff --git a/model/blocks/__pycache__/DownBlock2D.cpython-310.pyc b/model/blocks/__pycache__/DownBlock2D.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..a5ab4095b7e2fc29e71bba32dd7e2168c9acbffa Binary files /dev/null and b/model/blocks/__pycache__/DownBlock2D.cpython-310.pyc differ diff --git a/model/blocks/__pycache__/ResnetBlock2D.cpython-310.pyc b/model/blocks/__pycache__/ResnetBlock2D.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..ab244fc19f5c63a80fce8ac7f188cd000e93cbe6 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0000000000000000000000000000000000000000..d31f18f850494e3e845cfa623f9b3f959d43a4f9 Binary files /dev/null and b/model/blocks/__pycache__/get_down_blocks.cpython-310.pyc differ diff --git a/model/blocks/get_down_blocks.py b/model/blocks/get_down_blocks.py new file mode 100644 index 0000000000000000000000000000000000000000..87e6dd61df8e27f94c02c3f412c3156ccf8406d9 --- /dev/null +++ b/model/blocks/get_down_blocks.py @@ -0,0 +1,94 @@ +from typing import Optional +from diffusers.utils import logging +from .DownBlock2D import DownBlock2D +from .CrossAttnDownBlock2D import CrossAttnDownBlock2D_SPADE + +logger = logging.get_logger(__name__) # pylint: disable=invalid-name + +def get_down_block( + down_block_type: str, + num_layers: int, + in_channels: int, + out_channels: int, + temb_channels: int, + add_downsample: bool, + resnet_eps: float, + resnet_act_fn: str, + transformer_layers_per_block: int = 1, + num_attention_heads: Optional[int] = None, + resnet_groups: Optional[int] = None, + cross_attention_dim: Optional[int] = None, + downsample_padding: Optional[int] = None, + dual_cross_attention: bool = False, + use_linear_projection: bool = False, + only_cross_attention: bool = False, + upcast_attention: bool = False, + resnet_time_scale_shift: str = "default", + attention_type: str = "default", + resnet_skip_time_act: bool = False, + resnet_out_scale_factor: float = 1.0, + cross_attention_norm: Optional[str] = None, + attention_head_dim: Optional[int] = None, + downsample_type: Optional[str] = None, + dropout: float = 0.0, + SPADE_chs=(320, 640, 1280, 1280), + normalization_type = None, + is_first = False, +): + # If attn head dim is not defined, we default it to the number of heads + if attention_head_dim is None: + logger.warn( + f"It is recommended to provide `attention_head_dim` when calling `get_down_block`. Defaulting `attention_head_dim` to {num_attention_heads}." + ) + attention_head_dim = num_attention_heads + + down_block_type = down_block_type[7:] if down_block_type.startswith("UNetRes") else down_block_type + if down_block_type == "DownBlock2D": + return DownBlock2D( + num_layers=num_layers, + in_channels=in_channels, + out_channels=out_channels, + temb_channels=temb_channels, + dropout=dropout, + add_downsample=add_downsample, + resnet_eps=resnet_eps, + resnet_act_fn=resnet_act_fn, + resnet_groups=resnet_groups, + downsample_padding=downsample_padding, + resnet_time_scale_shift=resnet_time_scale_shift, + SPADE_chs = SPADE_chs, + normalization_type=normalization_type, + is_crossAttn = False, + ) + + + elif down_block_type == "CrossAttnDownBlock2D": + if cross_attention_dim is None: + raise ValueError("cross_attention_dim must be specified for CrossAttnDownBlock2D") + return CrossAttnDownBlock2D_SPADE( + num_layers=num_layers, + transformer_layers_per_block=transformer_layers_per_block, + in_channels=in_channels, + out_channels=out_channels, + temb_channels=temb_channels, + dropout=dropout, + add_downsample=add_downsample, + resnet_eps=resnet_eps, + resnet_act_fn=resnet_act_fn, + resnet_groups=resnet_groups, + downsample_padding=downsample_padding, + cross_attention_dim=cross_attention_dim, + num_attention_heads=num_attention_heads, + dual_cross_attention=dual_cross_attention, + use_linear_projection=use_linear_projection, + only_cross_attention=only_cross_attention, + upcast_attention=upcast_attention, + resnet_time_scale_shift=resnet_time_scale_shift, + attention_type=attention_type, + SPADE_chs=SPADE_chs, + normalization_type=normalization_type, + is_crossAttn = True, + is_first = is_first, + ) + + raise ValueError(f"{down_block_type} does not exist.") \ No newline at end of file diff --git a/model/controlnet_SPADE.py b/model/controlnet_SPADE.py new file mode 100644 index 0000000000000000000000000000000000000000..faed279cad9a04fdd8e90aafb7eee3d327034f91 --- /dev/null +++ b/model/controlnet_SPADE.py @@ -0,0 +1,786 @@ +# Copyright 2023 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from typing import Any, Dict, List, Optional, Tuple, Union +import torch +from torch import nn + +from diffusers.configuration_utils import ConfigMixin, register_to_config +from diffusers.loaders import FromOriginalControlnetMixin +from diffusers.utils import logging +from diffusers.models.attention_processor import ( + ADDED_KV_ATTENTION_PROCESSORS, + CROSS_ATTENTION_PROCESSORS, + AttentionProcessor, + AttnAddedKVProcessor, + AttnProcessor, +) +from diffusers.models.embeddings import TextImageProjection, TextImageTimeEmbedding, TextTimeEmbedding, TimestepEmbedding, Timesteps +from diffusers.models.modeling_utils import ModelMixin +from diffusers.models.unet_2d_blocks import ( + CrossAttnDownBlock2D, + DownBlock2D, +) + +from diffusers.models.unet_2d_condition import UNet2DConditionModel +from diffusers.models.controlnet import ControlNetOutput +from diffusers.models.controlnet import zero_module + +from .controlnet_cond_embedding import ControlNetConditioningEmbedding + +from .blocks.get_down_blocks import get_down_block +from .blocks.UNetMidBlock2DCrossAttn import UNetMidBlock2DCrossAttn +logger = logging.get_logger(__name__) # pylint: disable=invalid-name + + +class ControlNetModel(ModelMixin, ConfigMixin, FromOriginalControlnetMixin): + """ + A ControlNet model. + + Args: + in_channels (`int`, defaults to 4): + The number of channels in the input sample. + flip_sin_to_cos (`bool`, defaults to `True`): + Whether to flip the sin to cos in the time embedding. + freq_shift (`int`, defaults to 0): + The frequency shift to apply to the time embedding. + down_block_types (`tuple[str]`, defaults to `("CrossAttnDownBlock2D", "CrossAttnDownBlock2D", "CrossAttnDownBlock2D", "DownBlock2D")`): + The tuple of downsample blocks to use. + only_cross_attention (`Union[bool, Tuple[bool]]`, defaults to `False`): + block_out_channels (`tuple[int]`, defaults to `(320, 640, 1280, 1280)`): + The tuple of output channels for each block. + layers_per_block (`int`, defaults to 2): + The number of layers per block. + downsample_padding (`int`, defaults to 1): + The padding to use for the downsampling convolution. + mid_block_scale_factor (`float`, defaults to 1): + The scale factor to use for the mid block. + act_fn (`str`, defaults to "silu"): + The activation function to use. + norm_num_groups (`int`, *optional*, defaults to 32): + The number of groups to use for the normalization. If None, normalization and activation layers is skipped + in post-processing. + norm_eps (`float`, defaults to 1e-5): + The epsilon to use for the normalization. + cross_attention_dim (`int`, defaults to 1280): + The dimension of the cross attention features. + transformer_layers_per_block (`int` or `Tuple[int]`, *optional*, defaults to 1): + The number of transformer blocks of type [`~models.attention.BasicTransformerBlock`]. Only relevant for + [`~models.unet_2d_blocks.CrossAttnDownBlock2D`], [`~models.unet_2d_blocks.CrossAttnUpBlock2D`], + [`~models.unet_2d_blocks.UNetMidBlock2DCrossAttn`]. + encoder_hid_dim (`int`, *optional*, defaults to None): + If `encoder_hid_dim_type` is defined, `encoder_hidden_states` will be projected from `encoder_hid_dim` + dimension to `cross_attention_dim`. + encoder_hid_dim_type (`str`, *optional*, defaults to `None`): + If given, the `encoder_hidden_states` and potentially other embeddings are down-projected to text + embeddings of dimension `cross_attention` according to `encoder_hid_dim_type`. + attention_head_dim (`Union[int, Tuple[int]]`, defaults to 8): + The dimension of the attention heads. + use_linear_projection (`bool`, defaults to `False`): + class_embed_type (`str`, *optional*, defaults to `None`): + The type of class embedding to use which is ultimately summed with the time embeddings. Choose from None, + `"timestep"`, `"identity"`, `"projection"`, or `"simple_projection"`. + addition_embed_type (`str`, *optional*, defaults to `None`): + Configures an optional embedding which will be summed with the time embeddings. Choose from `None` or + "text". "text" will use the `TextTimeEmbedding` layer. + num_class_embeds (`int`, *optional*, defaults to 0): + Input dimension of the learnable embedding matrix to be projected to `time_embed_dim`, when performing + class conditioning with `class_embed_type` equal to `None`. + upcast_attention (`bool`, defaults to `False`): + resnet_time_scale_shift (`str`, defaults to `"default"`): + Time scale shift config for ResNet blocks (see `ResnetBlock2D`). Choose from `default` or `scale_shift`. + projection_class_embeddings_input_dim (`int`, *optional*, defaults to `None`): + The dimension of the `class_labels` input when `class_embed_type="projection"`. Required when + `class_embed_type="projection"`. + controlnet_conditioning_channel_order (`str`, defaults to `"rgb"`): + The channel order of conditional image. Will convert to `rgb` if it's `bgr`. + conditioning_embedding_out_channels (`tuple[int]`, *optional*, defaults to `(16, 32, 96, 256)`): + The tuple of output channel for each block in the `conditioning_embedding` layer. + global_pool_conditions (`bool`, defaults to `False`): + """ + + _supports_gradient_checkpointing = True + + @register_to_config + def __init__( + self, + in_channels: int = 4, + conditioning_channels: int = 3, + flip_sin_to_cos: bool = True, + freq_shift: int = 0, + down_block_types: Tuple[str] = ( + "CrossAttnDownBlock2D", + "CrossAttnDownBlock2D", + "CrossAttnDownBlock2D", + "DownBlock2D", + ), + only_cross_attention: Union[bool, Tuple[bool]] = False, + block_out_channels: Tuple[int] = (320, 640, 1280, 1280), + layers_per_block: int = 2, + downsample_padding: int = 1, + mid_block_scale_factor: float = 1, + act_fn: str = "silu", + norm_num_groups: Optional[int] = 32, + norm_eps: float = 1e-5, + cross_attention_dim: int = 1280, + transformer_layers_per_block: Union[int, Tuple[int]] = 1, + encoder_hid_dim: Optional[int] = None, + encoder_hid_dim_type: Optional[str] = None, + attention_head_dim: Union[int, Tuple[int]] = 8, + num_attention_heads: Optional[Union[int, Tuple[int]]] = None, + use_linear_projection: bool = False, + class_embed_type: Optional[str] = None, + addition_embed_type: Optional[str] = None, + addition_time_embed_dim: Optional[int] = None, + num_class_embeds: Optional[int] = None, + upcast_attention: bool = False, + resnet_time_scale_shift: str = "default", + projection_class_embeddings_input_dim: Optional[int] = None, + controlnet_conditioning_channel_order: str = "rgb", + conditioning_embedding_out_channels: Optional[Tuple[int]] = (16,32,64,128,256,512,1024), + global_pool_conditions: bool = False, + addition_embed_type_num_heads=64, + normalization_type = "SPADE" + ): + super().__init__() + # TODO: change this, now it is a debug + conditioning_embedding_out_channels = (16,32,64,128,256,512,1024) + # If `num_attention_heads` is not defined (which is the case for most models) + # it will default to `attention_head_dim`. This looks weird upon first reading it and it is. + # The reason for this behavior is to correct for incorrectly named variables that were introduced + # when this library was created. The incorrect naming was only discovered much later in https://github.com/huggingface/diffusers/issues/2011#issuecomment-1547958131 + # Changing `attention_head_dim` to `num_attention_heads` for 40,000+ configurations is too backwards breaking + # which is why we correct for the naming here. + num_attention_heads = num_attention_heads or attention_head_dim + + # Check inputs + if len(block_out_channels) != len(down_block_types): + raise ValueError( + f"Must provide the same number of `block_out_channels` as `down_block_types`. `block_out_channels`: {block_out_channels}. `down_block_types`: {down_block_types}." + ) + + if not isinstance(only_cross_attention, bool) and len(only_cross_attention) != len(down_block_types): + raise ValueError( + f"Must provide the same number of `only_cross_attention` as `down_block_types`. `only_cross_attention`: {only_cross_attention}. `down_block_types`: {down_block_types}." + ) + + if not isinstance(num_attention_heads, int) and len(num_attention_heads) != len(down_block_types): + raise ValueError( + f"Must provide the same number of `num_attention_heads` as `down_block_types`. `num_attention_heads`: {num_attention_heads}. `down_block_types`: {down_block_types}." + ) + + if isinstance(transformer_layers_per_block, int): + transformer_layers_per_block = [transformer_layers_per_block] * len(down_block_types) + + # input + conv_in_kernel = 3 + conv_in_padding = (conv_in_kernel - 1) // 2 + self.conv_in = nn.Conv2d( + in_channels, block_out_channels[0], kernel_size=conv_in_kernel, padding=conv_in_padding + ) + + # time + time_embed_dim = block_out_channels[0] * 4 + self.time_proj = Timesteps(block_out_channels[0], flip_sin_to_cos, freq_shift) + timestep_input_dim = block_out_channels[0] + self.time_embedding = TimestepEmbedding( + timestep_input_dim, + time_embed_dim, + act_fn=act_fn, + ) + + if encoder_hid_dim_type is None and encoder_hid_dim is not None: + encoder_hid_dim_type = "text_proj" + self.register_to_config(encoder_hid_dim_type=encoder_hid_dim_type) + logger.info("encoder_hid_dim_type defaults to 'text_proj' as `encoder_hid_dim` is defined.") + + if encoder_hid_dim is None and encoder_hid_dim_type is not None: + raise ValueError( + f"`encoder_hid_dim` has to be defined when `encoder_hid_dim_type` is set to {encoder_hid_dim_type}." + ) + + if encoder_hid_dim_type == "text_proj": + self.encoder_hid_proj = nn.Linear(encoder_hid_dim, cross_attention_dim) + elif encoder_hid_dim_type == "text_image_proj": + # image_embed_dim DOESN'T have to be `cross_attention_dim`. To not clutter the __init__ too much + # they are set to `cross_attention_dim` here as this is exactly the required dimension for the currently only use + # case when `addition_embed_type == "text_image_proj"` (Kadinsky 2.1)` + self.encoder_hid_proj = TextImageProjection( + text_embed_dim=encoder_hid_dim, + image_embed_dim=cross_attention_dim, + cross_attention_dim=cross_attention_dim, + ) + + elif encoder_hid_dim_type is not None: + raise ValueError( + f"encoder_hid_dim_type: {encoder_hid_dim_type} must be None, 'text_proj' or 'text_image_proj'." + ) + else: + self.encoder_hid_proj = None + + # class embedding + if class_embed_type is None and num_class_embeds is not None: + self.class_embedding = nn.Embedding(num_class_embeds, time_embed_dim) + elif class_embed_type == "timestep": + self.class_embedding = TimestepEmbedding(timestep_input_dim, time_embed_dim) + elif class_embed_type == "identity": + self.class_embedding = nn.Identity(time_embed_dim, time_embed_dim) + elif class_embed_type == "projection": + if projection_class_embeddings_input_dim is None: + raise ValueError( + "`class_embed_type`: 'projection' requires `projection_class_embeddings_input_dim` be set" + ) + # The projection `class_embed_type` is the same as the timestep `class_embed_type` except + # 1. the `class_labels` inputs are not first converted to sinusoidal embeddings + # 2. it projects from an arbitrary input dimension. + # + # Note that `TimestepEmbedding` is quite general, being mainly linear layers and activations. + # When used for embedding actual timesteps, the timesteps are first converted to sinusoidal embeddings. + # As a result, `TimestepEmbedding` can be passed arbitrary vectors. + self.class_embedding = TimestepEmbedding(projection_class_embeddings_input_dim, time_embed_dim) + else: + self.class_embedding = None + + if addition_embed_type == "text": + if encoder_hid_dim is not None: + text_time_embedding_from_dim = encoder_hid_dim + else: + text_time_embedding_from_dim = cross_attention_dim + + self.add_embedding = TextTimeEmbedding( + text_time_embedding_from_dim, time_embed_dim, num_heads=addition_embed_type_num_heads + ) + elif addition_embed_type == "text_image": + # text_embed_dim and image_embed_dim DON'T have to be `cross_attention_dim`. To not clutter the __init__ too much + # they are set to `cross_attention_dim` here as this is exactly the required dimension for the currently only use + # case when `addition_embed_type == "text_image"` (Kadinsky 2.1)` + self.add_embedding = TextImageTimeEmbedding( + text_embed_dim=cross_attention_dim, image_embed_dim=cross_attention_dim, time_embed_dim=time_embed_dim + ) + elif addition_embed_type == "text_time": + self.add_time_proj = Timesteps(addition_time_embed_dim, flip_sin_to_cos, freq_shift) + self.add_embedding = TimestepEmbedding(projection_class_embeddings_input_dim, time_embed_dim) + + elif addition_embed_type is not None: + raise ValueError(f"addition_embed_type: {addition_embed_type} must be None, 'text' or 'text_image'.") + + # control net conditioning embedding + self.controlnet_cond_embedding = ControlNetConditioningEmbedding( + block_out_channels=conditioning_embedding_out_channels, + conditioning_channels=conditioning_channels, + UNet_in_channels= block_out_channels + ) + + self.down_blocks = nn.ModuleList([]) + self.controlnet_down_blocks = nn.ModuleList([]) + + if isinstance(only_cross_attention, bool): + only_cross_attention = [only_cross_attention] * len(down_block_types) + + if isinstance(attention_head_dim, int): + attention_head_dim = (attention_head_dim,) * len(down_block_types) + + if isinstance(num_attention_heads, int): + num_attention_heads = (num_attention_heads,) * len(down_block_types) + + # down + output_channel = block_out_channels[0] + + controlnet_block = nn.Conv2d(output_channel, output_channel, kernel_size=1) + controlnet_block = zero_module(controlnet_block) + self.controlnet_down_blocks.append(controlnet_block) + + for i, down_block_type in enumerate(down_block_types): + input_channel = output_channel + output_channel = block_out_channels[i] + is_final_block = i == len(block_out_channels) - 1 + + down_block = get_down_block( + down_block_type, + num_layers=layers_per_block, + transformer_layers_per_block=transformer_layers_per_block[i], + in_channels=input_channel, + out_channels=output_channel, + temb_channels=time_embed_dim, + add_downsample=not is_final_block, + resnet_eps=norm_eps, + resnet_act_fn=act_fn, + resnet_groups=norm_num_groups, + cross_attention_dim=cross_attention_dim, + num_attention_heads=num_attention_heads[i], + attention_head_dim=attention_head_dim[i] if attention_head_dim[i] is not None else output_channel, + downsample_padding=downsample_padding, + use_linear_projection=use_linear_projection, + only_cross_attention=only_cross_attention[i], + upcast_attention=upcast_attention, + resnet_time_scale_shift=resnet_time_scale_shift, + SPADE_chs=block_out_channels, + normalization_type=normalization_type, + is_first= (i == 0) + ) + self.down_blocks.append(down_block) + + for _ in range(layers_per_block): + controlnet_block = nn.Conv2d(output_channel, output_channel, kernel_size=1) + controlnet_block = zero_module(controlnet_block) + self.controlnet_down_blocks.append(controlnet_block) + + if not is_final_block: + controlnet_block = nn.Conv2d(output_channel, output_channel, kernel_size=1) + controlnet_block = zero_module(controlnet_block) + self.controlnet_down_blocks.append(controlnet_block) + + # mid + mid_block_channel = block_out_channels[-1] + + controlnet_block = nn.Conv2d(mid_block_channel, mid_block_channel, kernel_size=1) + controlnet_block = zero_module(controlnet_block) + self.controlnet_mid_block = controlnet_block + + self.mid_block = UNetMidBlock2DCrossAttn( + transformer_layers_per_block=transformer_layers_per_block[-1], + in_channels=mid_block_channel, + temb_channels=time_embed_dim, + resnet_eps=norm_eps, + resnet_act_fn=act_fn, + output_scale_factor=mid_block_scale_factor, + resnet_time_scale_shift=resnet_time_scale_shift, + cross_attention_dim=cross_attention_dim, + num_attention_heads=num_attention_heads[-1], + resnet_groups=norm_num_groups, + use_linear_projection=use_linear_projection, + upcast_attention=upcast_attention, + normalization_type=normalization_type + ) + + @classmethod + def from_unet( + cls, + unet: UNet2DConditionModel, + controlnet_conditioning_channel_order: str = "rgb", + conditioning_embedding_out_channels: Optional[Tuple[int]] = (16,32,64,128,256,512,1024), + load_weights_from_unet: bool = True, + normalization_type=None + ): + r""" + Instantiate a [`ControlNetModel`] from [`UNet2DConditionModel`]. + + Parameters: + unet (`UNet2DConditionModel`): + The UNet model weights to copy to the [`ControlNetModel`]. All configuration options are also copied + where applicable. + """ + transformer_layers_per_block = ( + unet.config.transformer_layers_per_block if "transformer_layers_per_block" in unet.config else 1 + ) + encoder_hid_dim = unet.config.encoder_hid_dim if "encoder_hid_dim" in unet.config else None + encoder_hid_dim_type = unet.config.encoder_hid_dim_type if "encoder_hid_dim_type" in unet.config else None + addition_embed_type = unet.config.addition_embed_type if "addition_embed_type" in unet.config else None + addition_time_embed_dim = ( + unet.config.addition_time_embed_dim if "addition_time_embed_dim" in unet.config else None + ) + + controlnet = cls( + encoder_hid_dim=encoder_hid_dim, + encoder_hid_dim_type=encoder_hid_dim_type, + addition_embed_type=addition_embed_type, + addition_time_embed_dim=addition_time_embed_dim, + transformer_layers_per_block=transformer_layers_per_block, + in_channels=unet.config.in_channels, + flip_sin_to_cos=unet.config.flip_sin_to_cos, + freq_shift=unet.config.freq_shift, + down_block_types=unet.config.down_block_types, + only_cross_attention=unet.config.only_cross_attention, + block_out_channels=unet.config.block_out_channels, + layers_per_block=unet.config.layers_per_block, + downsample_padding=unet.config.downsample_padding, + mid_block_scale_factor=unet.config.mid_block_scale_factor, + act_fn=unet.config.act_fn, + norm_num_groups=unet.config.norm_num_groups, + norm_eps=unet.config.norm_eps, + cross_attention_dim=unet.config.cross_attention_dim, + attention_head_dim=unet.config.attention_head_dim, + num_attention_heads=unet.config.num_attention_heads, + use_linear_projection=unet.config.use_linear_projection, + class_embed_type=unet.config.class_embed_type, + num_class_embeds=unet.config.num_class_embeds, + upcast_attention=unet.config.upcast_attention, + resnet_time_scale_shift=unet.config.resnet_time_scale_shift, + projection_class_embeddings_input_dim=unet.config.projection_class_embeddings_input_dim, + controlnet_conditioning_channel_order=controlnet_conditioning_channel_order, + conditioning_embedding_out_channels=conditioning_embedding_out_channels, + normalization_type = normalization_type, + ) + + if load_weights_from_unet: + controlnet.conv_in.load_state_dict(unet.conv_in.state_dict()) + controlnet.time_proj.load_state_dict(unet.time_proj.state_dict()) + controlnet.time_embedding.load_state_dict(unet.time_embedding.state_dict()) + + if controlnet.class_embedding: + controlnet.class_embedding.load_state_dict(unet.class_embedding.state_dict()) + + controlnet.down_blocks.load_state_dict(unet.down_blocks.state_dict()) + controlnet.mid_block.load_state_dict(unet.mid_block.state_dict()) + + return controlnet + + @property + # Copied from diffusers.models.unet_2d_condition.UNet2DConditionModel.attn_processors + def attn_processors(self) -> Dict[str, AttentionProcessor]: + r""" + Returns: + `dict` of attention processors: A dictionary containing all attention processors used in the model with + indexed by its weight name. + """ + # set recursively + processors = {} + + def fn_recursive_add_processors(name: str, module: torch.nn.Module, processors: Dict[str, AttentionProcessor]): + if hasattr(module, "get_processor"): + processors[f"{name}.processor"] = module.get_processor(return_deprecated_lora=True) + + for sub_name, child in module.named_children(): + fn_recursive_add_processors(f"{name}.{sub_name}", child, processors) + + return processors + + for name, module in self.named_children(): + fn_recursive_add_processors(name, module, processors) + + return processors + + # Copied from diffusers.models.unet_2d_condition.UNet2DConditionModel.set_attn_processor + def set_attn_processor( + self, processor: Union[AttentionProcessor, Dict[str, AttentionProcessor]], _remove_lora=False + ): + r""" + Sets the attention processor to use to compute attention. + + Parameters: + processor (`dict` of `AttentionProcessor` or only `AttentionProcessor`): + The instantiated processor class or a dictionary of processor classes that will be set as the processor + for **all** `Attention` layers. + + If `processor` is a dict, the key needs to define the path to the corresponding cross attention + processor. This is strongly recommended when setting trainable attention processors. + + """ + count = len(self.attn_processors.keys()) + + if isinstance(processor, dict) and len(processor) != count: + raise ValueError( + f"A dict of processors was passed, but the number of processors {len(processor)} does not match the" + f" number of attention layers: {count}. Please make sure to pass {count} processor classes." + ) + + def fn_recursive_attn_processor(name: str, module: torch.nn.Module, processor): + if hasattr(module, "set_processor"): + if not isinstance(processor, dict): + module.set_processor(processor, _remove_lora=_remove_lora) + else: + module.set_processor(processor.pop(f"{name}.processor"), _remove_lora=_remove_lora) + + for sub_name, child in module.named_children(): + fn_recursive_attn_processor(f"{name}.{sub_name}", child, processor) + + for name, module in self.named_children(): + fn_recursive_attn_processor(name, module, processor) + + # Copied from diffusers.models.unet_2d_condition.UNet2DConditionModel.set_default_attn_processor + def set_default_attn_processor(self): + """ + Disables custom attention processors and sets the default attention implementation. + """ + if all(proc.__class__ in ADDED_KV_ATTENTION_PROCESSORS for proc in self.attn_processors.values()): + processor = AttnAddedKVProcessor() + elif all(proc.__class__ in CROSS_ATTENTION_PROCESSORS for proc in self.attn_processors.values()): + processor = AttnProcessor() + else: + raise ValueError( + f"Cannot call `set_default_attn_processor` when attention processors are of type {next(iter(self.attn_processors.values()))}" + ) + + self.set_attn_processor(processor, _remove_lora=True) + + # Copied from diffusers.models.unet_2d_condition.UNet2DConditionModel.set_attention_slice + def set_attention_slice(self, slice_size): + r""" + Enable sliced attention computation. + + When this option is enabled, the attention module splits the input tensor in slices to compute attention in + several steps. This is useful for saving some memory in exchange for a small decrease in speed. + + Args: + slice_size (`str` or `int` or `list(int)`, *optional*, defaults to `"auto"`): + When `"auto"`, input to the attention heads is halved, so attention is computed in two steps. If + `"max"`, maximum amount of memory is saved by running only one slice at a time. If a number is + provided, uses as many slices as `attention_head_dim // slice_size`. In this case, `attention_head_dim` + must be a multiple of `slice_size`. + """ + sliceable_head_dims = [] + + def fn_recursive_retrieve_sliceable_dims(module: torch.nn.Module): + if hasattr(module, "set_attention_slice"): + sliceable_head_dims.append(module.sliceable_head_dim) + + for child in module.children(): + fn_recursive_retrieve_sliceable_dims(child) + + # retrieve number of attention layers + for module in self.children(): + fn_recursive_retrieve_sliceable_dims(module) + + num_sliceable_layers = len(sliceable_head_dims) + + if slice_size == "auto": + # half the attention head size is usually a good trade-off between + # speed and memory + slice_size = [dim // 2 for dim in sliceable_head_dims] + elif slice_size == "max": + # make smallest slice possible + slice_size = num_sliceable_layers * [1] + + slice_size = num_sliceable_layers * [slice_size] if not isinstance(slice_size, list) else slice_size + + if len(slice_size) != len(sliceable_head_dims): + raise ValueError( + f"You have provided {len(slice_size)}, but {self.config} has {len(sliceable_head_dims)} different" + f" attention layers. Make sure to match `len(slice_size)` to be {len(sliceable_head_dims)}." + ) + + for i in range(len(slice_size)): + size = slice_size[i] + dim = sliceable_head_dims[i] + if size is not None and size > dim: + raise ValueError(f"size {size} has to be smaller or equal to {dim}.") + + # Recursively walk through all the children. + # Any children which exposes the set_attention_slice method + # gets the message + def fn_recursive_set_attention_slice(module: torch.nn.Module, slice_size: List[int]): + if hasattr(module, "set_attention_slice"): + module.set_attention_slice(slice_size.pop()) + + for child in module.children(): + fn_recursive_set_attention_slice(child, slice_size) + + reversed_slice_size = list(reversed(slice_size)) + for module in self.children(): + fn_recursive_set_attention_slice(module, reversed_slice_size) + + def _set_gradient_checkpointing(self, module, value=False): + if isinstance(module, (CrossAttnDownBlock2D, DownBlock2D)): + module.gradient_checkpointing = value + + def forward( + self, + sample: torch.FloatTensor, + timestep: Union[torch.Tensor, float, int], + encoder_hidden_states: torch.Tensor, + controlnet_cond: torch.FloatTensor, + conditioning_scale: float = 1.0, + class_labels: Optional[torch.Tensor] = None, + timestep_cond: Optional[torch.Tensor] = None, + attention_mask: Optional[torch.Tensor] = None, + added_cond_kwargs: Optional[Dict[str, torch.Tensor]] = None, + cross_attention_kwargs: Optional[Dict[str, Any]] = None, + guess_mode: bool = False, + return_dict: bool = True, + ) -> Union[ControlNetOutput, Tuple]: + """ + The [`ControlNetModel`] forward method. + + Args: + sample (`torch.FloatTensor`): + The noisy input tensor. + timestep (`Union[torch.Tensor, float, int]`): + The number of timesteps to denoise an input. + encoder_hidden_states (`torch.Tensor`): + The encoder hidden states. + controlnet_cond (`torch.FloatTensor`): + The conditional input tensor of shape `(batch_size, sequence_length, hidden_size)`. + conditioning_scale (`float`, defaults to `1.0`): + The scale factor for ControlNet outputs. + class_labels (`torch.Tensor`, *optional*, defaults to `None`): + Optional class labels for conditioning. Their embeddings will be summed with the timestep embeddings. + timestep_cond (`torch.Tensor`, *optional*, defaults to `None`): + Additional conditional embeddings for timestep. If provided, the embeddings will be summed with the + timestep_embedding passed through the `self.time_embedding` layer to obtain the final timestep + embeddings. + attention_mask (`torch.Tensor`, *optional*, defaults to `None`): + An attention mask of shape `(batch, key_tokens)` is applied to `encoder_hidden_states`. If `1` the mask + is kept, otherwise if `0` it is discarded. Mask will be converted into a bias, which adds large + negative values to the attention scores corresponding to "discard" tokens. + added_cond_kwargs (`dict`): + Additional conditions for the Stable Diffusion XL UNet. + cross_attention_kwargs (`dict[str]`, *optional*, defaults to `None`): + A kwargs dictionary that if specified is passed along to the `AttnProcessor`. + guess_mode (`bool`, defaults to `False`): + In this mode, the ControlNet encoder tries its best to recognize the input content of the input even if + you remove all prompts. A `guidance_scale` between 3.0 and 5.0 is recommended. + return_dict (`bool`, defaults to `True`): + Whether or not to return a [`~models.controlnet.ControlNetOutput`] instead of a plain tuple. + + Returns: + [`~models.controlnet.ControlNetOutput`] **or** `tuple`: + If `return_dict` is `True`, a [`~models.controlnet.ControlNetOutput`] is returned, otherwise a tuple is + returned where the first element is the sample tensor. + """ + # check channel order + channel_order = self.config.controlnet_conditioning_channel_order + + if channel_order == "rgb": + # in rgb order by default + ... + elif channel_order == "bgr": + controlnet_cond = torch.flip(controlnet_cond, dims=[1]) + else: + raise ValueError(f"unknown `controlnet_conditioning_channel_order`: {channel_order}") + + # prepare attention_mask + if attention_mask is not None: + attention_mask = (1 - attention_mask.to(sample.dtype)) * -10000.0 + attention_mask = attention_mask.unsqueeze(1) + + # 1. time + timesteps = timestep + if not torch.is_tensor(timesteps): + # TODO: this requires sync between CPU and GPU. So try to pass timesteps as tensors if you can + # This would be a good case for the `match` statement (Python 3.10+) + is_mps = sample.device.type == "mps" + if isinstance(timestep, float): + dtype = torch.float32 if is_mps else torch.float64 + else: + dtype = torch.int32 if is_mps else torch.int64 + timesteps = torch.tensor([timesteps], dtype=dtype, device=sample.device) + elif len(timesteps.shape) == 0: + timesteps = timesteps[None].to(sample.device) + + # broadcast to batch dimension in a way that's compatible with ONNX/Core ML + timesteps = timesteps.expand(sample.shape[0]) + + t_emb = self.time_proj(timesteps) + + # timesteps does not contain any weights and will always return f32 tensors + # but time_embedding might actually be running in fp16. so we need to cast here. + # there might be better ways to encapsulate this. + t_emb = t_emb.to(dtype=sample.dtype) + + emb = self.time_embedding(t_emb, timestep_cond) + aug_emb = None + + if self.class_embedding is not None: + if class_labels is None: + raise ValueError("class_labels should be provided when num_class_embeds > 0") + + if self.config.class_embed_type == "timestep": + class_labels = self.time_proj(class_labels) + + class_emb = self.class_embedding(class_labels).to(dtype=self.dtype) + emb = emb + class_emb + + if self.config.addition_embed_type is not None: + if self.config.addition_embed_type == "text": + aug_emb = self.add_embedding(encoder_hidden_states) + + elif self.config.addition_embed_type == "text_time": + if "text_embeds" not in added_cond_kwargs: + raise ValueError( + f"{self.__class__} has the config param `addition_embed_type` set to 'text_time' which requires the keyword argument `text_embeds` to be passed in `added_cond_kwargs`" + ) + text_embeds = added_cond_kwargs.get("text_embeds") + if "time_ids" not in added_cond_kwargs: + raise ValueError( + f"{self.__class__} has the config param `addition_embed_type` set to 'text_time' which requires the keyword argument `time_ids` to be passed in `added_cond_kwargs`" + ) + time_ids = added_cond_kwargs.get("time_ids") + time_embeds = self.add_time_proj(time_ids.flatten()) + time_embeds = time_embeds.reshape((text_embeds.shape[0], -1)) + + add_embeds = torch.concat([text_embeds, time_embeds], dim=-1) + add_embeds = add_embeds.to(emb.dtype) + aug_emb = self.add_embedding(add_embeds) + + emb = emb + aug_emb if aug_emb is not None else emb + + # 2. pre-process + sample = self.conv_in(sample) + + ms_cond = self.controlnet_cond_embedding(controlnet_cond) + sample = sample + ms_cond[0] + + # 3. down + down_block_res_samples = (sample,) + for downsample_block in self.down_blocks: + if hasattr(downsample_block, "has_cross_attention") and downsample_block.has_cross_attention: + sample, res_samples = downsample_block( + hidden_states=sample, + segmap = ms_cond, + temb=emb, + encoder_hidden_states=encoder_hidden_states, + attention_mask=attention_mask, + cross_attention_kwargs=cross_attention_kwargs, + ) + else: + sample, res_samples = downsample_block(hidden_states=sample, segmap=ms_cond, + temb=emb) + + down_block_res_samples += res_samples + + # 4. mid + if self.mid_block is not None: + sample = self.mid_block( + sample, + emb, + segmap=ms_cond, + encoder_hidden_states=encoder_hidden_states, + attention_mask=attention_mask, + cross_attention_kwargs=cross_attention_kwargs, + ) + + # 5. Control net blocks + + controlnet_down_block_res_samples = () + + for down_block_res_sample, controlnet_block in zip(down_block_res_samples, self.controlnet_down_blocks): + down_block_res_sample = controlnet_block(down_block_res_sample) + controlnet_down_block_res_samples = controlnet_down_block_res_samples + (down_block_res_sample,) + + down_block_res_samples = controlnet_down_block_res_samples + + mid_block_res_sample = self.controlnet_mid_block(sample) + + # 6. scaling + if guess_mode and not self.config.global_pool_conditions: + scales = torch.logspace(-1, 0, len(down_block_res_samples) + 1, device=sample.device) # 0.1 to 1.0 + scales = scales * conditioning_scale + down_block_res_samples = [sample * scale for sample, scale in zip(down_block_res_samples, scales)] + mid_block_res_sample = mid_block_res_sample * scales[-1] # last one + else: + down_block_res_samples = [sample * conditioning_scale for sample in down_block_res_samples] + mid_block_res_sample = mid_block_res_sample * conditioning_scale + + if self.config.global_pool_conditions: + down_block_res_samples = [ + torch.mean(sample, dim=(2, 3), keepdim=True) for sample in down_block_res_samples + ] + mid_block_res_sample = torch.mean(mid_block_res_sample, dim=(2, 3), keepdim=True) + + if not return_dict: + return (down_block_res_samples, mid_block_res_sample) + + return ControlNetOutput( + down_block_res_samples=down_block_res_samples, mid_block_res_sample=mid_block_res_sample + ) \ No newline at end of file diff --git a/model/controlnet_cond_embedding.py b/model/controlnet_cond_embedding.py new file mode 100644 index 0000000000000000000000000000000000000000..5f833713b56e1f36843668305d1de8692aedbe52 --- /dev/null +++ b/model/controlnet_cond_embedding.py @@ -0,0 +1,57 @@ +from torch import nn +from typing import Tuple +from diffusers.models.controlnet import zero_module +from torch.nn import functional as F + +class ControlNetConditioningEmbedding(nn.Module): + """ + Quoting from https://arxiv.org/abs/2302.05543: "Stable Diffusion uses a pre-processing method similar to VQ-GAN + [11] to convert the entire dataset of 512 × 512 images into smaller 64 × 64 “latent images” for stabilized + training. This requires ControlNets to convert image-based conditions to 64 × 64 feature space to match the + convolution size. We use a tiny network E(·) of four convolution layers with 4 × 4 kernels and 2 × 2 strides + (activated by ReLU, channels are 16, 32, 64, 128, initialized with Gaussian weights, trained jointly with the full + model) to encode image-space conditions ... into feature maps ..." + """ + + def __init__( + self, + conditioning_channels: int = 3, + block_out_channels: Tuple[int] = (16,32,64,128,256,512,1024), + UNet_in_channels: Tuple[int] = (320, 640, 1280, 1280) + ): + super().__init__() + + self.conv_in = nn.Conv2d(conditioning_channels, block_out_channels[0], kernel_size=3, padding=1) + + self.blocks = nn.ModuleList([]) + + self.UNet_in_chs = UNet_in_channels + + self.ms_blocks = nn.ModuleList([]) + + self.ms_idx = block_out_channels[-len(UNet_in_channels):] + + for i in range(len(block_out_channels)-1): + channel_in = block_out_channels[i] + channel_out = block_out_channels[i + 1] + self.blocks.append(nn.Conv2d(channel_in, channel_in, kernel_size=3, padding=1)) + self.blocks.append(nn.Conv2d(channel_in, channel_out, kernel_size=3, padding=1, stride=2)) + if i >= len(block_out_channels) - len(self.UNet_in_chs) -1: + self.ms_blocks.append(zero_module(nn.Conv2d(channel_out, self.UNet_in_chs[i - (len(block_out_channels) - len(self.UNet_in_chs))+1], kernel_size=3, padding=1))) + + + + def forward(self, conditioning): + embedding = self.conv_in(conditioning) + embedding = F.silu(embedding) + ms_embeddings = [] + j = 0 + for block in self.blocks: + embedding = block(embedding) + embedding = F.silu(embedding) + if embedding.shape[1] == self.ms_idx[j]: + ms_embedding = self.ms_blocks[j](embedding) + ms_embeddings.append(ms_embedding) + j = j + 1 + + return ms_embeddings diff --git a/pipeline.py b/pipeline.py new file mode 100644 index 0000000000000000000000000000000000000000..00d1829e6aed005e5ca9c0451817c310490ddb1e --- /dev/null +++ b/pipeline.py @@ -0,0 +1,127 @@ +from skimage.filters import threshold_otsu +from PIL import Image +from diffusers import AutoencoderKL, StableDiffusionPipeline, UNet2DConditionModel,UniPCMultistepScheduler +from accelerate import Accelerator +from accelerate.utils import ProjectConfiguration +from transformers import CLIPTextModel,CLIPTokenizer +import torch +import numpy as np +from skimage.filters import threshold_otsu +from model.controlnet_SPADE import ControlNetModel +from model.ControlnetPipeline import StableDiffusionControlNetPipeline_SPADE + +class Pipeline_demo: + def __init__(self, + unet_ckpt="pretrain_weights/unet", + controlnet_ckpt="pretrain_weights/controlnet", + pretrained_model_name_or_path="runwayml/stable-diffusion-v1-5", + is_cpu=False, + mixed_precision = "fp16", + enable_xformers_memory_efficient_attention=True, + output_dir = "output" + ) -> None: + accelerator_project_config = ProjectConfiguration(project_dir=output_dir, logging_dir=output_dir) + + self.is_cpu = is_cpu + if is_cpu: + mixed_precision = "no" + + self.accelerator = Accelerator( + gradient_accumulation_steps=1, + mixed_precision=mixed_precision, + log_with="tensorboard", + cpu= True if is_cpu else False, + project_config=accelerator_project_config, + ) + + weight_dtype = torch.float32 + if not is_cpu and self.accelerator.mixed_precision == "fp16": + weight_dtype = torch.float16 + + self.text_encoder = CLIPTextModel.from_pretrained( + pretrained_model_name_or_path, subfolder="text_encoder", revision=None + ) + self.tokenizer = CLIPTokenizer.from_pretrained( + pretrained_model_name_or_path, subfolder="tokenizer", revision=None + ) + self.unet = UNet2DConditionModel.from_pretrained(unet_ckpt) + self.vae = AutoencoderKL.from_pretrained( + pretrained_model_name_or_path, subfolder="vae", revision=None + ) + self.controlnet = ControlNetModel.from_pretrained(controlnet_ckpt) + + self.pipeline1 = StableDiffusionPipeline.from_pretrained( + pretrained_model_name_or_path, + vae=self.accelerator.unwrap_model(self.vae), + text_encoder=self.accelerator.unwrap_model(self.text_encoder), + tokenizer=self.tokenizer, + unet=self.accelerator.unwrap_model(self.unet), + safety_checker=None, + revision=None, + torch_dtype=weight_dtype, + ) + + self.pipeline2 = StableDiffusionControlNetPipeline_SPADE.from_pretrained( + pretrained_model_name_or_path, + vae=self.accelerator.unwrap_model(self.vae), + text_encoder=self.accelerator.unwrap_model(self.text_encoder), + tokenizer=self.tokenizer, + unet=self.accelerator.unwrap_model(self.unet), + controlnet=self.accelerator.unwrap_model(self.controlnet), + safety_checker=None, + revision=None, + torch_dtype=weight_dtype, + ) + + + self.pipeline1 = self.pipeline1.to(self.accelerator.device) + self.pipeline1.set_progress_bar_config(disable=False) + self.pipeline2 = self.pipeline2.to(self.accelerator.device) + self.pipeline2.set_progress_bar_config(disable=False) + + self.pipeline2.scheduler = UniPCMultistepScheduler.from_config(self.pipeline2.scheduler.config) + + if not is_cpu and enable_xformers_memory_efficient_attention: + self.pipeline1.enable_xformers_memory_efficient_attention() + self.pipeline2.enable_xformers_memory_efficient_attention() + + def binarize(self,image_array): + + otsu_thresh = threshold_otsu(image_array) + # Apply Otsu's threshold to binarize the image + binarized_otsu_array = np.where(image_array > otsu_thresh, 255, 0) + # Convert the binarized array back into an image + binarized_otsu_image = Image.fromarray(binarized_otsu_array.astype(np.uint8)).convert("RGB") + return binarized_otsu_image + + def generate_semantic_map(self, semantic_map_prompt,seed=None): + if seed is None: + generator = None + else: + generator = torch.Generator(device=self.accelerator.device).manual_seed(seed) + + device_type = "cpu" if self.is_cpu else "cuda" + with torch.autocast(device_type): + image_anno = self.pipeline1(semantic_map_prompt, num_inference_steps=20, generator=generator).images[0] + bin_img = self.binarize(np.array(image_anno)) + + return bin_img + + def generate_image(self, image_prompt, bin_img,seed=None): + + if seed is None: + generator = None + else: + generator = torch.Generator(device=self.accelerator.device).manual_seed(seed) + + device_type = "cpu" if self.is_cpu else "cuda" + + bin_img = Image.fromarray(bin_img) + with torch.autocast(device_type): + image_img = self.pipeline2(image_prompt, bin_img, num_inference_steps=20, generator=generator).images[0] + + return image_img + + + +