DeepFashion: In-shop Clothes Retrieval
Details
In-shop Clothes Retrieval Benchmark evaluates the performance of in-shop Clothes Retrieval. This is a large subset of DeepFashion, containing large pose and scale variations. It also has large diversities, large quantities, and rich annotations, including
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7,982 number of clothing items;
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52,712 number of in-shop clothes images, and ~200,000 cross-pose/scale pairs;
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Each image is annotated by bounding box, clothing type and pose type.
Download
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In-shop Clothes Images -
High-Res Images -
Identity & Pair Annotations -
BBox & Landmark Annotations -
Attribute Annotations
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Parsing Mask Annotations -
Dense Pose Annotations
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Train/Val/Test Partitions
Citation
@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}
}