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CelebA - CelebFaces Attributes Dataset

A large-scale face attributes dataset with more than 200,000 celebrity images, each annotated with 40 attribute labels, useful for facial recognition and attribute prediction tasks.

About Dataset

CelebA is a large-scale face attributes dataset containing over 200,000 celebrity images annotated with facial attributes, landmarks, and identity information. Developed by the Multimedia Laboratory at the Chinese University of Hong Kong, the dataset focuses on facial appearance variations such as pose, expression, lighting, and accessories. It provides standardized splits for training, validation, and testing.

Purpose of Dataset

Celeba Is Widely Used For Research In Face Recognition, Attribute Prediction, And Representation Learning. It Supports Studies In Fairness, Bias, And Robustness In Facial Analysis Systems. For Generative And Representation Models, Celeba Enables Learning Structured Facial Features And Understanding How Visual Attributes Vary Across Identities And Conditions.