Datasets › WebFace260M
WebFace260M
WebFace260M is a million-scale face benchmark, which is constructed for the research community towards closing the data gap behind the industry.
It consists of: - Noisy 4M identities and 260M faces - High-quality training data with 42M images of 2M identities by using automatic cleaning - A test set with rich attributes and a time-constrained evaluation protocol
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 20 papers for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Custom (research-only)
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- WebFace260M
1 variant name, as the archive lists them.
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