update dataset comments
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# COCO 2017 dataset http://cocodataset.org - first 128 training images
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# Download command: python -c "from yolov5.utils.google_utils import gdrive_download; gdrive_download('1n_oKgR81BJtqk75b00eAjdv03qVCQn2f','coco128.zip')"
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# Train command: python train.py --data ./data/coco128.yaml
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# Dataset should be placed next to yolov5 folder:
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# Download command: python -c "from yolov5.utils.google_utils import *; gdrive_download('1n_oKgR81BJtqk75b00eAjdv03qVCQn2f', 'coco128.zip')"
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# Train command: python train.py --data coco128.yaml
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# Default dataset location is next to /yolov5:
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# /parent_folder
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# /coco128
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# /yolov5
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# train and val datasets (image directory or *.txt file with image paths)
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train: ../coco128/images/train2017/
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val: ../coco128/images/train2017/
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# train and val data as 1) directory: path/images/, 2) file: path/images.txt, or 3) list: [path1/images/, path2/images/]
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train: ../coco128/images/train2017/ # 128 images
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val: ../coco128/images/train2017/ # 128 images
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# number of classes
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nc: 80
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