{"url":"/dataset/imdb-wiki-1","name":"IMDB-WIKI","full_name":null,"description_markdown":"To the best of our knowledge this is the largest publicly available dataset of face images with gender and age labels for training. We provide pretrained models for both age and gender prediction.","description_withheld":null,"homepage":"https://data.vision.ee.ethz.ch/cvl/rrothe/imdb-wiki/","introduced_date":"2016-08-10","introduced_date_note":null,"introduced_by":{"paper":"/paper/deep-expectation-of-real-and-apparent-age","title":"Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks","first_author":"Rasmus Rothe","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Age Estimation","url":"/task/age-estimation","datasets_with_task":"/datasets/task/age-estimation"},{"name":"Gender Classification","url":"/task/gender-classification","datasets_with_task":"/datasets/task/gender-classification"}],"languages":[],"variants":["IMDB-WIKI"],"data_loaders":[],"num_papers_in_archive":73,"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."}