Datasets › CelebV-HQ

CelebV-HQ

Introduced by Hao Zhu et al. in CelebV-HQ: A Large-Scale Video Facial Attributes Dataset25 Jul 2022 archive 2025-07-28

CelebV-HQ is a large-scale video facial attributes dataset with annotations. CelebV-HQ contains 35,666 video clips involving 15,653 identities and 83 manually labeled facial attributes covering appearance, action, and emotion.

GitHub repository: https://github.com/celebv-hq/celebv-hq

Benchmarks archive 2025-07-28

All 3 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

Papers archive 2025-07-28

2 shown of 2 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 36. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
MARLIN: Masked Autoencoder for facial video Representation LearnINg 1 2 12 Nov 2022 not harvested
CelebV-HQ: A Large-Scale Video Facial Attributes Dataset 1 4 25 Jul 2022 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Custom (non-commercial, research purposes)

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • CelebV-HQ

1 variant name, as the archive lists them.

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