| # 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 | |
| d='../' # unzip directory | |
| url=https://github.com/ultralytics/yolov5/releases/download/v1.0/ | |
| f='coco2017labels.zip' # or 'coco2017labels-segments.zip', 68 MB | |
| echo 'Downloading' $url$f ' ...' | |
| curl -L $url$f -o $f && unzip -q $f -d $d && rm $f & # download, unzip, remove in background | |
| # Download/unzip images | |
| d='../coco/images' # unzip directory | |
| url=http://images.cocodataset.org/zips/ | |
| f1='train2017.zip' # 19G, 118k images | |
| f2='val2017.zip' # 1G, 5k images | |
| f3='test2017.zip' # 7G, 41k images (optional) | |
| for f in $f1 $f2; do | |
| echo 'Downloading' $url$f '...' | |
| curl -L $url$f -o $f && unzip -q $f -d $d && rm $f & # download, unzip, remove in background | |
| done | |
| wait # finish background tasks | |