{"url":"/dataset/edface-celeb-1m","name":"EDFace-Celeb-1M","full_name":null,"description_markdown":"**EDFace-Celeb-1M** is a public Ethnically Diverse Face dataset which is used to benchmark the task of face hallucination. The dataset includes 1.7 million photos that cover different countries, with balanced race composition.","description_withheld":null,"homepage":"https://github.com/HDCVLab/EDFace-Celeb-1M","introduced_date":"2021-10-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/edface-celeb-1m-benchmarking-face","title":"EDFace-Celeb-1M: Benchmarking Face Hallucination with a Million-scale Dataset","first_author":"Kaihao Zhang","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Super-Resolution","url":"/task/image-super-resolution","datasets_with_task":"/datasets/task/image-super-resolution"},{"name":"Face Hallucination","url":"/task/face-hallucination","datasets_with_task":"/datasets/task/face-hallucination"}],"languages":[],"variants":["EDFace-Celeb-1M"],"data_loaders":[],"num_papers_in_archive":2,"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":"2026-09-25T09:33:49+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."}