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Data · dataset · 2015

Large-scale CelebFaces Attributes (CelebA) Dataset

Listed in BERD@NFDI Data Portal

The CelebA (CelebFaces Attributes Dataset) contains 202,599 celebrity face images spanning 10,177 identities, each annotated with 40 binary facial attributes and 5 landmark locations, offering extensive pose variation and background clutter.

Description

This large‑scale, richly labeled collection can be used for training and evaluating computer‑vision models on tasks such as face attribute recognition, identity verification, detection, landmark localization, and face editing/synthesis.

Please cite the following if you use the data: Liu, Z., Luo, P., Wang, X., & Tang, X. (2015). Deep Learning Face Attributes in the Wild . IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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Where it is published

Catalogue records · 1

Topics

Stated by source
Machine-learning
Inferred from text
Image 65%
Provenance · 1 source records, 10 field assertions
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