公开数据集

DeepFashion: Attribute Prediction
Scene:
FashionData Type:
2D Box
Data Preview ?
57.9G
Data Structure ?
*数据结构实际以真实数据为准
Category and Attribute Prediction Benchmark evaluates the performance of clothing category and attribute prediction. This is a large subset of DeepFashion, containing massive descriptive clothing categories and attributes in the wild. It contains
289,222 number of clothes images;
50 number of clothing categories, and 1,000 number of clothing attributes;
Each image is annotated by bounding box and clothing type.
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} }
Contact
Please contact Ziwei Liu for questions about the dataset.
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