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

  • Human Pose Annotations

  • Type & Variation Annotations

  • Train/Val/Test Partitions


Please cite the following papers if you use the dataset.
 author = {Liu, Ziwei and Luo, Ping and Qiu, Shi and Wang, Xiaogang and Tang, Xiaoou},
 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 = {Liu, Ziwei and Yan, Sijie and Luo, Ping and Wang, Xiaogang and Tang, Xiaoou},
 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.