Large-scale CelebFaces Attributes (CelebA) Dataset - 图1

Details

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.

Sample Images

Large-scale CelebFaces Attributes (CelebA) Dataset - 图2

Downloads

  • Large-scale CelebFaces Attributes (CelebA) Dataset - 图3

    In-The-Wild Images
  • Large-scale CelebFaces Attributes (CelebA) Dataset - 图4

    Align&Cropped Images
  • Large-scale CelebFaces Attributes (CelebA) Dataset - 图5

    Landmarks Annotations
  • Large-scale CelebFaces Attributes (CelebA) Dataset - 图6

    Attributes Annotations
  • Large-scale CelebFaces Attributes (CelebA) Dataset - 图7

    Identities Annotations

Citation

@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}
}

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