Fashion Landmark Detection Benchmark evaluates the performance of fashion landmark detection. This is a large subset of DeepFashion, with diverse and large pose/zoom-in variations. It contains

  • 123,016 number of clothes images;

  • 8 fashion landmarks (both location and visibility) for each image;

  • Each image is also annotated by bounding box, clothing type and variation type.

More details can be found in "Fashion Landmark Detection in the Wild, ECCV 2016".


  • Clothes Images

  • Landmark Annotations

  • Bounding Box Annotations

  • Type & Variation Annotations


  • Train/Val/Test Partitions

Evaluation Results

Coming soon.


Please cite the following papers if you use the dataset.
 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} 
 author = {Ziwei Liu and Sijie Yan and Ping Luo and Xiaogang Wang and Xiaoou Tang},
 title = {Fashion Landmark Detection in the Wild},
 booktitle = {European Conference on Computer Vision (ECCV)},
 month = October,
 year = {2016} 


Please contact Ziwei Liu for questions about the dataset.