|
- #!/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
- 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
|
