bearpaw / clothing-co-parsing

CCP dataset from "Clothing Co-Parsing by Joint Image Segmentation and Labeling " (CVPR 2014)

Clothing Co-Parsing (CCP) Dataset

Clothing Co-Parsing (CCP) dataset is a new clothing database including elaborately annotated clothing items.

• 2, 098 high-resolution street fashion photos with totally 59 tags
• Wide range of styles, accessaries, garments, and pose
• All images are with image-level annotations
• 1000+ images are with pixel-level annotations

Feel free to contact platero.yang (at) gmail.com should you have any suggestions or questions.

Please visit the project page for more information.

Files

Root directory contains following files and folders:

• photos/ - directory of original photos
• annotations/ - directory of annotations
  • pixel-level/ - pixel-level annotations (1004 files)
  • image-level/ - image-level annotations (1094 files)
• show_pixel_anno.m - demo code for using pixel-level annotations
• show_image_anno.m - demo code for using image-level annotations
• label_list.mat - [1*59] cell array which maps label numbers to label names
• samples.jpg - sample annotations
• README.md - this file

Usage of the Database

Please refer to show_pixel_anno.m and show_image_anno.m for detailed usage.

Notes on Image-Level Annotations

Each annotation is saved in annotations/image-level/ as a matlab .mat file, which is a variable

• tags: [n*1] matrix denotes the tags of the photo, where n is the number of the tags contained in the specific photo.

Notes on Pixel-Level Annotations

Each annotation is saved in annotations/pixel-level as a matlab .mat file, which is a variable

• groundtruth: [h*w] matrix denotes the annotated labels of pixels

Citation

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}
}