{"url":"/dataset/webface260m","name":"WebFace260M","full_name":null,"description_markdown":"**WebFace260M** is a million-scale face benchmark, which is constructed for the research community towards closing the data gap behind the industry.\r\n\r\nIt consists of:\r\n- Noisy 4M identities and 260M faces\r\n- High-quality training data with 42M images of 2M identities by using automatic cleaning\r\n- A test set with rich attributes and a time-constrained evaluation protocol","description_withheld":null,"homepage":"https://www.face-benchmark.org/","introduced_date":"2021-03-06","introduced_date_note":null,"introduced_by":{"paper":"/paper/webface260m-a-benchmark-unveiling-the-power","title":"WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition","first_author":"Zheng Zhu","url":null},"license":{"name":"Custom (research-only)","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Face Recognition","url":"/task/face-recognition","datasets_with_task":"/datasets/task/face-recognition"}],"languages":[],"variants":["WebFace260M"],"data_loaders":[],"num_papers_in_archive":20,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"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."}