Details

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".

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  • Clothes Images

  • Landmark Annotations

  • Bounding Box Annotations

  • Human Pose Annotations


  • Type & Variation Annotations


  • Train/Val/Test Partitions

Citation

Please cite the following papers if you use the dataset.
@inproceedings{liuLQWTcvpr16DeepFashion,
 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}
 }
@inproceedings{liuYLWTeccv16FashionLandmark,
 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}
 }

Contact


Please contact Ziwei Liu for questions about the dataset.