{"url":"/dataset/florence-4d","name":"Florence 4D","full_name":null,"description_markdown":"**Florence 4D** is a dataset that consists of dynamic sequences of 3D face models, where a combination of synthetic and real identities exhibit an unprecedented variety of 4D facial expressions, with variations that include the classical neutral-apex transition, but generalize to expression-to-expression. It is designed for research in 4D facial analysis, with a particular focus on dynamic expressions.","description_withheld":null,"homepage":"http://www.micc.unifi.it/resources/datasets/florence-4d-facial-expression/","introduced_date":"2022-10-30","introduced_date_note":null,"introduced_by":{"paper":"/paper/the-florence-4d-facial-expression-dataset","title":"The Florence 4D Facial Expression Dataset","first_author":"F. Principi","url":null},"license":null,"modalities":[{"name":"3D","url":"/datasets/modality/3d"}],"tasks":[{"name":"3D Facial Expression Recognition","url":"/task/3d-facial-expression-recognition","datasets_with_task":"/datasets/task/3d-facial-expression-recognition"}],"languages":[],"variants":["Florence 4D"],"data_loaders":[],"num_papers_in_archive":3,"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."}