27 lines
925 B
YAML
27 lines
925 B
YAML
# Ultralytics YOLO 🚀, AGPL-3.0 license
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# COCO 2017 dataset https://cocodataset.org by Microsoft
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# Documentation: https://docs.ultralytics.com/datasets/detect/coco/
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# Example usage: yolo train data=coco.yaml
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# parent
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# ├── ultralytics
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# └── datasets
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# └── coco ← downloads here (20.1 GB)
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# Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
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path: /home/jiayuan/data/BDD_seg_mask # dataset root dir
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# path: /home/jiayuan/data/yolo_v8_toy/detection-object # dataset root dir
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train: images/train2017 # train images (relative to 'path') 118287 images
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val: images/val2017 # val images (relative to 'path') 5000 images
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test: images/val2017 # 20288 of 40670 images, submit to https://competitions.codalab.org/competitions/20794
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# Classes
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names:
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0: vehicle
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1: drivable
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2: lane
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type_task:
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detection: [0]
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segmentation: [1, 2]
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