Awesome

Fashion Detection in the Wild (Deep Clothes Detector)

[Project] [Paper]

Overview

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.

Requirements

• Fast R-CNN
• EdgeBox
• Piotr's Computer Vision Toolbox

Getting started

• 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.m

Dataset

Large-scale Fashion (DeepFashion) Database

License and Citation

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} 
}