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45 lines
2.3 KiB
YAML
45 lines
2.3 KiB
YAML
# YOLOv3 🚀 by Ultralytics, GPL-3.0 license
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# COCO 2017 dataset http://cocodataset.org
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# Example usage: python train.py --data coco.yaml
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# parent
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# ├── yolov3
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# └── datasets
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# └── coco ← downloads here
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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: ../datasets/coco # dataset root dir
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train: train2017.txt # train images (relative to 'path') 118287 images
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val: val2017.txt # train images (relative to 'path') 5000 images
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test: test-dev2017.txt # 20288 of 40670 images, submit to https://competitions.codalab.org/competitions/20794
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# Classes
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nc: 80 # number of classes
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names: ['person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light',
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'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow',
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'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee',
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'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard',
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'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple',
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'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch',
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'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone',
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'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear',
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'hair drier', 'toothbrush'] # class names
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# Download script/URL (optional)
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download: |
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from utils.general import download, Path
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# Download labels
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segments = False # segment or box labels
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dir = Path(yaml['path']) # dataset root dir
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url = 'https://github.com/ultralytics/yolov5/releases/download/v1.0/'
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urls = [url + ('coco2017labels-segments.zip' if segments else 'coco2017labels.zip')] # labels
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download(urls, dir=dir.parent)
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# Download data
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urls = ['http://images.cocodataset.org/zips/train2017.zip', # 19G, 118k images
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'http://images.cocodataset.org/zips/val2017.zip', # 1G, 5k images
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'http://images.cocodataset.org/zips/test2017.zip'] # 7G, 41k images (optional)
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download(urls, dir=dir / 'images', threads=3)
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