Content

The Clothing Co-Parsing Dataset (CCP) was introduced in Clothing Co-Parsing by Joint Image Segmentation and Labeling, Yang et. al. for developing an integrated system of clothing co-parsing, in order to jointly parse a set of clothing images (unsegmented but annotated with tags) into semantic configurations. CCP consists of 2098 high-resolution street fashion photos.

Acknowledgements

The SYSU Clothes dataset was derived from HCP Lab's (Sun Yat-Sen University) work on Weakly Supervised Clothing Co-Parsing. If you make use of the Clothing Co-Parsing (CCP) data, please cite the following reference in any publications:

@inproceedings{yang2014clothing,   title={Clothing Co-Parsing by Joint Image Segmentation and Labeling},   author={Yang, Wei and Luo, Ping and Lin, Liang}   booktitle={Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on},   year={2013},   organization={IEEE} } 

Inspiration

Rapid advances in Image Understanding using Computer Vision techniques have brought us many state-of-the-art deep learning models across various benchmark datasets in image parsing. The dataset facilitates the development of an integrated system for clothing co-parsing: given an image database of clothes/human, where all images are unsegmented but annotated with tags, jointly parse the images into semantic clothing configurations.