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- #!/bin/bash
- # COCO 2017 dataset http://cocodataset.org
- # Download command: bash data/scripts/get_coco.sh
- # Train command: python train.py --data coco.yaml
- # Default dataset location is next to /yolov5:
- # /parent_folder
- # /coco
- # /yolov5
-
- # Download/unzip labels
- echo 'Downloading COCO 2017 labels ...'
- d='../' # unzip directory
- f='coco2017labels.zip' && curl -L https://github.com/ultralytics/yolov5/releases/download/v1.0/$f -o $f
- unzip -q $f -d $d && rm $f
-
- # Download/unzip images
- echo 'Downloading COCO 2017 images ...'
- d='../coco/images' # unzip directory
- f='train2017.zip' && curl http://images.cocodataset.org/zips/$f -o $f && unzip -q $f -d $d && rm $f # 19G, 118k images
- f='val2017.zip' && curl http://images.cocodataset.org/zips/$f -o $f && unzip -q $f -d $d && rm $f # 1G, 5k images
- # f='test2017.zip' && curl http://images.cocodataset.org/zips/$f -o $f && unzip -q $f -d $d && rm $f # 7G, 41k images
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