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- # Argoverse-HD dataset (ring-front-center camera) http://www.cs.cmu.edu/~mengtial/proj/streaming/
- # Train command: python train.py --data argoverse_hd.yaml
- # Default dataset location is next to /yolov5:
- # /parent_folder
- # /argoverse
- # /yolov5
-
-
- # download command/URL (optional)
- download: bash data/scripts/get_argoverse_hd.sh
-
- # train and val data as 1) directory: path/images/, 2) file: path/images.txt, or 3) list: [path1/images/, path2/images/]
- train: ../argoverse/Argoverse-1.1/images/train/ # 39384 images
- val: ../argoverse/Argoverse-1.1/images/val/ # 15062 iamges
- test: ../argoverse/Argoverse-1.1/images/test/ # Submit to: https://eval.ai/web/challenges/challenge-page/800/overview
-
- # number of classes
- nc: 8
-
- # class names
- names: [ 'person', 'bicycle', 'car', 'motorcycle', 'bus', 'truck', 'traffic_light', 'stop_sign' ]
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