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CelebA
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Overview

CelebFaces Attributes Dataset (CelebA) is a large-scale face attributes dataset with more than 200K celebrity images, each with 40 attribute annotations. The images in this dataset cover large pose variations and background clutter. CelebA has large diversities, large quantities, and rich annotations, including

  • 10,177 number of identities,
  • 202,599 number of face images, and
  • 5 landmark locations, 40 binary attributes annotations per image.

The dataset can be employed as the training and test sets for the following computer vision tasks: face attribute recognition, face detection, landmark (or facial part) localization, and face editing & synthesis.

Citation

Please use the following citation when referencing the dataset:

@inproceedings{liu2015faceattributes,
 title = {Deep Learning Face Attributes in the Wild},
 author = {Liu, Ziwei and Luo, Ping and Wang, Xiaogang and Tang, Xiaoou},
 booktitle = {Proceedings of International Conference on Computer Vision (ICCV)},
 month = {December},
 year = {2015}
}

License

Custom

数据集信息
应用场景Face
标注类型Box2DClassificationKeypoints2D
LicenseCustom
更新时间2021-03-24 22:54:12
数据概要
数据格式Image
数据数量202.6k
文件大小0B
标注数量0
版权归属方
CUHK Multimedia Lab
标注方
未知
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