{"url":"/dataset/celebv-hq","name":"CelebV-HQ","full_name":null,"description_markdown":"**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.\r\n\r\nGitHub repository: [https://github.com/celebv-hq/celebv-hq]( https://github.com/celebv-hq/celebv-hq)","description_withheld":null,"homepage":"https://celebv-hq.github.io/","introduced_date":"2022-07-25","introduced_date_note":null,"introduced_by":{"paper":"/paper/celebv-hq-a-large-scale-video-facial","title":"CelebV-HQ: A Large-Scale Video Facial Attributes Dataset","first_author":"Hao Zhu","url":null},"license":{"name":"Custom (non-commercial, research purposes)","url":"https://celebv-hq.github.io/"},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Action Classification","url":"/task/action-classification","datasets_with_task":"/datasets/task/action-classification"},{"name":"Facial Attribute Classification","url":"/task/facial-attribute-classification","datasets_with_task":"/datasets/task/facial-attribute-classification"},{"name":"Unconditional Video Generation","url":"/task/unconditional-video-generation","datasets_with_task":"/datasets/task/unconditional-video-generation"}],"languages":[],"variants":["CelebV-HQ"],"data_loaders":[],"num_papers_in_archive":36,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/unconditional-video-generation-on-celebv-hq","task":"Unconditional Video Generation","dataset_variant":"CelebV-HQ","rows":4,"metrics":["FVD","FID"],"first_row_in_archive_order":{"model":"StyleGAN-V","paper":"/paper/celebv-hq-a-large-scale-video-facial","metrics":{"FID":"17.95","FVD":"69.17"},"code_links":[{"title":"celebv-hq/celebv-hq","url":"https://github.com/celebv-hq/celebv-hq"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/action-classification-on-celebv-hq","task":"Action Classification","dataset_variant":"CelebV-HQ","rows":1,"metrics":["AUC","Accuracy"],"first_row_in_archive_order":{"model":"MARLIN","paper":"/paper/marlin-masked-autoencoder-for-facial-video","metrics":{"AUC":"0.9406","Accuracy":"95.48"},"code_links":[{"title":"ControlNet/MARLIN","url":"https://github.com/ControlNet/MARLIN"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/facial-attribute-classification-on-celebv-hq","task":"Facial Attribute Classification","dataset_variant":"CelebV-HQ","rows":1,"metrics":["AUC","Accuracy"],"first_row_in_archive_order":{"model":"MARLIN","paper":"/paper/marlin-masked-autoencoder-for-facial-video","metrics":{"AUC":"0.9561","Accuracy":"93.9"},"code_links":[{"title":"ControlNet/MARLIN","url":"https://github.com/ControlNet/MARLIN"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/marlin-masked-autoencoder-for-facial-video","title":"MARLIN: Masked Autoencoder for facial video Representation LearnINg","date":"2022-11-12","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/celebv-hq-a-large-scale-video-facial","title":"CelebV-HQ: A Large-Scale Video Facial Attributes Dataset","date":"2022-07-25","rows_on_this_dataset":4,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}