{"url":"/dataset/florentine","name":"Florentine","full_name":"Florentine","description_markdown":"The **Florentine** dataset is a dataset of facial gestures which contains facial clips from 160 subjects (both male and female), where gestures were artificially generated according to a specific request, or genuinely given due to a shown stimulus. 1032 clips were captured for posed expressions and 1745 clips for induced facial expressions amounting to a total of 2777 video clips. Genuine facial expressions were induced in subjects using visual stimuli, i.e. videos selected randomly from a bank of Youtube videos to generate a specific emotion.\n\nSource: [Deep video gesture recognition using illumination invariants](https://arxiv.org/abs/1603.06531)\nImage Source: [https://www.micc.unifi.it/resources/datasets/florence-3d-faces/](https://www.micc.unifi.it/resources/datasets/florence-3d-faces/)","description_withheld":null,"homepage":null,"introduced_date":"2014-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"Combining Multiple Kernel Methods on Riemannian Manifold for Emotion Recognition in the Wild","first_author":null,"url":"https://doi.org/10.1145/2663204.2666274"},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Gesture Recognition","url":"/task/gesture-recognition","datasets_with_task":"/datasets/task/gesture-recognition"}],"languages":[],"variants":["Florentine"],"data_loaders":[],"num_papers_in_archive":1,"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."}