CelebFaces Attributes Dataset (CelebA) is a large-scale face attributes dataset with more than 200K celebrity images, each with 40 attribute annotations. It has substantial pose variations and background clutter. The detailed information are listed below:
Number of identities: 10,177 identities
Number of images: 202,599 images
Annotations per image: 5 Landmark Locations, 40 Binary Attributes
Please note that these data can ONLY be used for academic research purposes.
In-The-Wild Images
Align&Cropped Images
Landmarks Annotations
Attributes Annotations
README
Train/Val/Test Partitions
@inproceedings{liu2015faceattributes, author = {Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang}, title = {Deep Learning Face Attributes in the Wild}, booktitle = {Proceedings of International Conference on Computer Vision (ICCV)}, month = December, year = {2015} }