gccopen / custom.yaml
Javier Flores
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# COCO 2017 dataset http://cocodataset.org
# download command/URL (optional)
download: bash ./scripts/get_coco.sh
# train and val data as 1) directory: path/images/, 2) file: path/images.txt, or 3) list: [path1/images/, path2/images/]
train: ../train/images
val: ../valid/images
test: ../test/images
# number of classes
nc: 1
# class names
names: ['pothole']