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Upload custom.yaml

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+ # COCO 2017 dataset http://cocodataset.org
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+ # download command/URL (optional)
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+ download: bash ./scripts/get_coco.sh
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+ # train and val data as 1) directory: path/images/, 2) file: path/images.txt, or 3) list: [path1/images/, path2/images/]
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+ train: ../train/images
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+ val: ../valid/images
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+
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+ # number of classes
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+ nc: 5
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+ # class names
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+ names: ['Ambulance', 'Bus', 'Car', 'Motorcycle', 'Truck']