Deep Clothes Detector is a clothes detection framework based on Fast R-CNN. Given a fashion image, this software finds and localizes potential upper-body clothes, lower-body clothes and full-body clothes in it, respectively.
Further information please contact Tingwu Wang and Ziwei Liu.
- Install and compile the Fast R-CNN, EdgeBox and Piotr's Computer Vision Toolbox libraries.
- Download the pre-trained model fashion_detector.caffemodel:
Place "fashion_detector.caffemodel" into "./models/" - Run the testing script:
matlab ./demo.mLarge-scale Fashion (DeepFashion) Database
The use of this software is RESTRICTED to non-commercial research and educational purposes.
@inproceedings{liu2016deepfashion,
author = {Ziwei Liu, Ping Luo, Shi Qiu, Xiaogang Wang, and Xiaoou Tang},
title = {DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations},
booktitle = {Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}