{"url":"/dataset/imdb-clean","name":"IMDB-Clean","full_name":null,"description_markdown":"We have cleaned the noisy IMDB-WIKI dataset using a constrained clustering method, resulting this new benchmark for in-the-wild age estimation. The annotations also allow this dataset to use for some other tasks, like gender classification and face recognition/verification. For more details, please refer to our FPAge paper.","description_withheld":null,"homepage":"https://github.com/yiminglin-ai/imdb-clean","introduced_date":"2021-06-21","introduced_date_note":null,"introduced_by":{"paper":"/paper/fp-age-leveraging-face-parsing-attention-for","title":"FP-Age: Leveraging Face Parsing Attention for Facial Age Estimation in the Wild","first_author":"Yiming Lin","url":null},"license":{"name":"MIT","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Face Recognition","url":"/task/face-recognition","datasets_with_task":"/datasets/task/face-recognition"},{"name":"Age Estimation","url":"/task/age-estimation","datasets_with_task":"/datasets/task/age-estimation"},{"name":"Facial Attribute Classification","url":"/task/facial-attribute-classification","datasets_with_task":"/datasets/task/facial-attribute-classification"},{"name":"Age And Gender Classification","url":"/task/age-and-gender-classification","datasets_with_task":"/datasets/task/age-and-gender-classification"},{"name":"Gender Prediction","url":"/task/gender-prediction","datasets_with_task":"/datasets/task/gender-prediction"},{"name":"Gender Bias Detection","url":"/task/gender-bias-detection","datasets_with_task":"/datasets/task/gender-bias-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["IMDB-Clean"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/age-estimation-on-imdb-clean","task":"Age Estimation","dataset_variant":"IMDB-Clean","rows":4,"metrics":["Average mean absolute error"],"first_row_in_archive_order":{"model":"MiVOLO-V2","paper":"/paper/beyond-specialization-assessing-the-1","metrics":{"Average mean absolute error":"3.97"},"code_links":[{"title":"wildchlamydia/mivolo","url":"https://github.com/wildchlamydia/mivolo"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/beyond-specialization-assessing-the-1","title":"Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation","date":"2024-03-04","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/mivolo-multi-input-transformer-for-age-and","title":"MiVOLO: Multi-input Transformer for Age and Gender Estimation","date":"2023-07-10","rows_on_this_dataset":2,"code_links":2,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":2,"samples_ran":2,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/fp-age-leveraging-face-parsing-attention-for","title":"FP-Age: Leveraging Face Parsing Attention for Facial Age Estimation in the Wild","date":"2021-06-21","rows_on_this_dataset":1,"code_links":2,"syntology":null}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":1,"samples_harvested":2,"samples_ran":2,"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."}