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+ # YOLOv5 πŸš€ by Ultralytics, GPL-3.0 license
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+ # COCO128 dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017) by Ultralytics
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+ # Example usage: python train.py --data coco128.yaml
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+ # parent
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+ # β”œβ”€β”€ yolov5
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+ # └── datasets
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+ # └── coco128 ← downloads here
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+
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+
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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/coco128 # dataset root dir
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+ train: ../images/train # train images (relative to 'path') 128 images
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+ val: ../images/val # val images (relative to 'path') 128 images
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+ test: # test images (optional)
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+
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+ # Classes
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+ nc: 3 # number of classes
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+ names: ['BJP','Congress','AAP'] # class names
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+
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+
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+ # Download script/URL (optional)
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+ download: https://ultralytics.com/assets/coco128.zip