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README.md

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+# Trucks Damage Dataset
+
+This dataset contains images of trucks with various types of damage annotations. The annotations are in COCO format and include detailed segmentation masks for different types of damage.
+
+
+## Dataset Statistics
+
+- Total Images: 795
+- Annotations per category:
+  - scratch: 1125
+  - dent: 745
+  - broken part: 278
+  - missing part: 374
+  - crack: 87
+  - lamp broken: 6
+
+
+## Dataset Statistics
+
+- Total Images: 795
+- Annotations per category:
+  - scratch: 1125
+  - dent: 745
+  - broken part: 278
+  - missing part: 374
+  - crack: 87
+  - lamp broken: 6
+
+## Dataset Description
+
+- Number of Images: 795
+- Format: COCO
+- Image Format: JPG
+- Annotation Format: JSON
+
+### Damage Categories:
+1. Scratch
+2. Dent
+3. Missing Part
+4. Broken Part
+5. Flat Tire
+6. Crack
+
+### Annotation Format
+Each annotation includes:
+- Category ID
+- Segmentation polygons
+- Bounding box coordinates [x, y, width, height]
+- Area
+- Additional metadata
+
+## Usage
+The dataset follows the COCO format and can be used with popular computer vision frameworks like:
+- YOLO
+- Detectron2
+- MMDetection
+- Transformers
+
+## License
+Please specify the license under which this dataset is released.