Thundernet-pytorch thundernet object detection dataset we used COCO2017 dataset to training, dataset structure: COCO ├── annotations │ ├── instances_train2017.json │ └── instances_val2017.json │── images ├── train2017 └── val2017 training running script: bash train.sh