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Added train,test,valid splits and data yaml.

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  1. README.dataset.txt +6 -0
  2. README.roboflow.txt +30 -0
  3. data.yaml +13 -0
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README.dataset.txt ADDED
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+ # Potholes Detection > 2023-02-19 4:37pm
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+ https://universe.roboflow.com/project-ssayl/potholes-detection-d4rma
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+
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+ Provided by a Roboflow user
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+ License: CC BY 4.0
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+
README.roboflow.txt ADDED
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+
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+ Potholes Detection - v1 2023-02-19 4:37pm
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+ ==============================
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+
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+ This dataset was exported via roboflow.com on February 19, 2023 at 11:08 AM GMT
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+
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+ Roboflow is an end-to-end computer vision platform that helps you
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+ * collaborate with your team on computer vision projects
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+ * collect & organize images
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+ * understand and search unstructured image data
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+ * annotate, and create datasets
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+ * export, train, and deploy computer vision models
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+ * use active learning to improve your dataset over time
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+
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+ For state of the art Computer Vision training notebooks you can use with this dataset,
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+ visit https://github.com/roboflow/notebooks
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+
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+ To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
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+
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+ The dataset includes 13767 images.
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+ Potholes are annotated in YOLOv8 format.
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+
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+ The following pre-processing was applied to each image:
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+ * Auto-orientation of pixel data (with EXIF-orientation stripping)
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+ * Resize to 640x640 (Stretch)
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+
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+ The following augmentation was applied to create 3 versions of each source image:
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+ * 50% probability of horizontal flip
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+
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+
data.yaml ADDED
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+ train: ../train/images
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+ val: ../valid/images
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+ test: ../test/images
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+
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+ nc: 1
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+ names: ['0']
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+
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+ roboflow:
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+ workspace: project-ssayl
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+ project: potholes-detection-d4rma
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+ version: 1
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+ license: CC BY 4.0
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+ url: https://universe.roboflow.com/project-ssayl/potholes-detection-d4rma/dataset/1
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