{"url":"/task/age-and-gender-estimation","name":"Age and Gender Estimation","slug":"age-and-gender-estimation","description_markdown":"Age and gender estimation is a dual-task of identifying the age via regression analysis and classification of gender of a person.","categories":[{"name":"Computer Vision","url":"/area/computer-vision"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":9,"papers_with_code":5,"benchmarks":2,"benchmark_tables_in_archive":2,"benchmark_tables_shown":2,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":2,"subtasks":0,"parent_tasks":0},"benchmarks":[{"leaderboard":"/sota/age-and-gender-estimation-on-lagenda-age","slug":"age-and-gender-estimation-on-lagenda-age","dataset":"LAGENDA age","dataset_url":"/dataset/lagenda","rows_in_archive":2,"metrics":["CS@5","MAE"],"first_row_in_archive_order":{"model":"MiVOLO-V2","paper_title":"Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation","paper_url":"/paper/beyond-specialization-assessing-the-1","paper_date":"2024-03-04","arxiv_id":"2403.02302","code_links":[{"title":"wildchlamydia/mivolo","url":"https://github.com/wildchlamydia/mivolo"}],"syntology":null}},{"leaderboard":"/sota/age-and-gender-estimation-on-lagenda-gender","slug":"age-and-gender-estimation-on-lagenda-gender","dataset":"LAGENDA gender","dataset_url":"/dataset/lagenda","rows_in_archive":2,"metrics":["Accuracy","CS@5"],"first_row_in_archive_order":{"model":"MiVOLO-D1","paper_title":"MiVOLO: Multi-input Transformer for Age and Gender Estimation","paper_url":"/paper/mivolo-multi-input-transformer-for-age-and","paper_date":"2023-07-10","arxiv_id":"2307.04616","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"}],"syntology":{"n":2,"n_ran":2,"n_unverified":0,"n_pointer_only":0}}}],"datasets":[{"url":"/dataset/lagenda","name":"LAGENDA","full_name":"Layer Age and Gender Dataset","num_papers_in_archive":3},{"url":"/dataset/bn-authprof","name":"BN-AuthProf","full_name":"Bangla Author Profiling Dataset","num_papers_in_archive":1}],"subtasks":[],"parent_tasks":[],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":5,"of":5,"tagged_in_all":9,"items":[{"url":"/paper/facexformer-a-unified-transformer-for-facial","title":"FaceXFormer: A Unified Transformer for Facial Analysis","date":"2024-03-19","arxiv_id":"2403.12960","repositories_listed":2,"syntology":null},{"url":"/paper/mivolo-multi-input-transformer-for-age-and","title":"MiVOLO: Multi-input Transformer for Age and Gender Estimation","date":"2023-07-10","arxiv_id":"2307.04616","repositories_listed":2,"syntology":{"n":2,"n_ran":2,"n_unverified":0,"n_pointer_only":0}},{"url":"/paper/age-and-gender-classification-using","title":"Age and Gender Classification using Convolutional Neural Networks","date":"2015-10-26","arxiv_id":null,"repositories_listed":2,"syntology":null},{"url":"/paper/bn-authprof-benchmarking-machine-learning-for","title":"BN-AuthProf: Benchmarking Machine Learning for Bangla Author Profiling on Social Media Texts","date":"2024-12-03","arxiv_id":"2412.02058","repositories_listed":1,"syntology":null},{"url":"/paper/beyond-specialization-assessing-the-1","title":"Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation","date":"2024-03-04","arxiv_id":"2403.02302","repositories_listed":1,"syntology":null}],"syntology_records":1,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}