The CelebA: Large-Scale CelebFaces Attributes Dataset comprises over 200,000 celebrity images, each annotated with 40 attributes. The dataset encompasses diverse images with significant pose variations and background clutter. CelebA boasts extensive diversities, large quantities, and rich annotations, including 10,177 identities, 202,599 face images, 5 landmark locations, and 40 binary attribute annotations per image. It serves as valuable training and test sets for various computer vision tasks, such as face attribute recognition, face recognition, face detection, landmark localization, and face editing & synthesis.

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.

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 recognition, face detection, landmark (or facial part) localization, and face editing & synthesis. # Agreement The CelebA dataset is available for non-commercial research purposes only. All images of the CelebA dataset are obtained from the Internet which are not property of MMLAB, The Chinese University of Hong Kong. The MMLAB is not responsible for the