{"url":"/dataset/agedb","name":"AgeDB","full_name":"AgeDB","description_markdown":"AgeDB contains 16, 488 images of various famous people, such as actors/actresses, writers, scientists, politicians, etc. Every image is annotated with respect to the identity, age and gender attribute. There exist a total of 568 distinct subjects. The average number of images per subject is 29. The minimum and maximum age is 1 and 101, respectively. The average age range for each subject is 50.3 years.\r\n\r\nSource: [AgeDB](https://ibug.doc.ic.ac.uk/resources/agedb/)","description_withheld":null,"homepage":"https://ibug.doc.ic.ac.uk/resources/agedb/","introduced_date":"2017-07-01","introduced_date_note":null,"introduced_by":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 Prediction","url":"/task/gender-prediction","datasets_with_task":"/datasets/task/gender-prediction"},{"name":"Diffusion Personalization Tuning Free","url":"/task/diffusion-personalization-tuning-free","datasets_with_task":"/datasets/task/diffusion-personalization-tuning-free"}],"languages":[],"variants":["AgeDB"],"data_loaders":[],"num_papers_in_archive":16,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/age-estimation-on-agedb","task":"Age Estimation","dataset_variant":"AgeDB","rows":10,"metrics":["MAE"],"first_row_in_archive_order":{"model":"MiVOLO-D1","paper":"/paper/mivolo-multi-input-transformer-for-age-and","metrics":{"MAE":"5.55"},"code_links":[{"title":"wildchlamydia/mivolo","url":"https://github.com/wildchlamydia/mivolo"},{"title":"DILiS-lab/drivers-of-predictive-aleatoric-uncertainty","url":"https://github.com/DILiS-lab/drivers-of-predictive-aleatoric-uncertainty"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/diffusion-personalization-tuning-free-on","task":"Diffusion Personalization Tuning Free","dataset_variant":"AgeDB","rows":7,"metrics":["Cosine Similarity","FID","LPIPS"],"first_row_in_archive_order":{"model":"Arc2Face","paper":"/paper/arc2face-a-foundation-model-of-human-faces","metrics":{"Cosine Similarity":"0.796","FID":"6.628","LPIPS":"0.508"},"code_links":[{"title":"foivospar/Arc2Face","url":"https://github.com/foivospar/Arc2Face"},{"title":"dariant/id-booth","url":"https://github.com/dariant/id-booth"},{"title":"FoivosPar/Arc2Face","url":"https://huggingface.co/FoivosPar/Arc2Face"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/gender-prediction-on-agedb","task":"Gender Prediction","dataset_variant":"AgeDB","rows":1,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"MiVOLO-D1","paper":"/paper/mivolo-multi-input-transformer-for-age-and","metrics":{"Accuracy":"98.3"},"code_links":[{"title":"wildchlamydia/mivolo","url":"https://github.com/wildchlamydia/mivolo"},{"title":"DILiS-lab/drivers-of-predictive-aleatoric-uncertainty","url":"https://github.com/DILiS-lab/drivers-of-predictive-aleatoric-uncertainty"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/arc2face-a-foundation-model-of-human-faces","title":"Arc2Face: A Foundation Model for ID-Consistent Human Faces","date":"2024-03-18","rows_on_this_dataset":1,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":4,"samples_ran":1,"samples_unverified":3,"pointer_only_for_licence":3,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/instantid-zero-shot-identity-preserving","title":"InstantID: Zero-shot Identity-Preserving Generation in Seconds","date":"2024-01-15","rows_on_this_dataset":1,"code_links":4,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":10,"samples_ran":8,"samples_unverified":2,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/photomaker-customizing-realistic-human-photos","title":"PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding","date":"2023-12-07","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":5,"samples_ran":3,"samples_unverified":2,"pointer_only_for_licence":5,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/ip-adapter-text-compatible-image-prompt","title":"IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models","date":"2023-08-13","rows_on_this_dataset":3,"code_links":4,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":8,"samples_ran":3,"samples_unverified":5,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/unraveling-the-age-estimation-puzzle","title":"A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark","date":"2023-07-10","rows_on_this_dataset":9,"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":"2026-09-24T18:15:14+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/fastcomposer-tuning-free-multi-subject-image","title":"FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention","date":"2023-05-17","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":17,"samples_ran":6,"samples_unverified":11,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":6,"samples_harvested":46,"samples_ran":23,"samples_unverified":23,"pointer_only_for_licence":8,"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."}