The convert.py script downloads the images and converts the annotations from the Dataturks json file to YOLO format.

1. Clone or download this repository.
2. Create folders for saving images and YOLO config files.
3. Execute:

python3 convert.py -d <path/to/dataturks.json> -i <directory/to/save/downloaded/images/> -y <directory/to/save/yolo/config/files/>

Note: -v flag can be used for detailed output.

1. Downloaded images along with their annotations in the specified directory.
2. YOLO config files train.txt, obj.names, obj.data, yolov3.cfg saved in the specified directory.