Clothing detection using YOLOv3 architecture and DeepFashion2 dataset

Datasets

DeepFashion2 dataset: https://github.com/switchablenorms/DeepFashion2

Models

YOLOv3 trained with Darknet framework: https://github.com/AlexeyAB/darknet
To do inference use a pytorch implementation of YOLOv3: https://github.com/eriklindernoren/PyTorch-YOLOv3.
All the models trained with Resnet50 backbone, except YOLOv3 with Darknet53

Weights

All weights and config files are in https://drive.google.com/drive/folders/1jXZZc5pp2OJCtmQYelzDgPzyuraAdxXP?usp=sharing

Using

Clone this repository into your computer
Download weights and config files from the google drive link above and place it in the same folder as the cloned repository
Run new_image_demo.py to crop bounding boxes of images

All thanks to https://github.com/simaiden/Clothing-Detection, where we got the original trained model from!