coco_copy.yaml 504 B

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  1. # COCO 2017 dataset http://cocodataset.org
  2. # download command/URL (optional)
  3. # download: bash ./scripts/get_coco.sh
  4. # train and val data as 1) directory: path/images/, 2) file: path/images.txt, or 3) list: [path1/images/, path2/images/]
  5. train: /root/Public/data/train/ # 118287 images
  6. val: /root/Public/data/val/ # 5000 images
  7. test: # 20288 of 40670 images, submit to https://competitions.codalab.org/competitions/20794
  8. # number of classes
  9. nc: 3
  10. # class names
  11. names: [ 'helmet', 'person', 'head']