| # 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 | |