Mask R-CNN + DeepFashoin2 based on tensorflow and keras use DeepFashion2 dataset to train Mask R-CNN origin code from https://github.com/Manishsinghrajput98/Deepfashion2_Training how to use download DeepFashion2 dateset in here and coco pre-trained model in here git clone this repo to local (git clone https://github.com/Xlgd/Mask_R-CNN_DeepFashion2) install anaconda and create a new environment (conda create -n env_name python=3.6) activate the environment (conda activate env_name) install packages with requirement.txt (while read requirement; do conda install --yes $requirement || pip install $requirement; done < requirement.txt) convert DeepFashin2 json to coco format json (use tools/deepfashion2coco.py) add image path and coco format json path in main.py (line 44 ~ 47) begin training (python main.py train --weights=coco)