18 lignes
695 o
YAML
18 lignes
695 o
YAML
# YOLOv5 🚀 by Ultralytics, GPL-3.0 license
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# COCO128 dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017)
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# Example usage: python train.py --data coco128.yaml
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# parent
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# ├── yolov5
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# └── datasets
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# └── coco128 ← 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: /scratch/labourde/yolo25000 # dataset root dir
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train: ./images/ # train images (relative to 'path')
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val: ./images/ # val images (relative to 'path')
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test: # test images (optional)
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# Classes
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nc: 4 # number of classes
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names: ['Car', 'Cat', 'Dog', 'Flower'] # class names
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