{"url":"/dataset/event-human3-6m","name":"Event-Human3.6m","full_name":null,"description_markdown":"**Event-Human3.6m** is a challenging dataset for event-based human pose estimation by simulating events from the RGB [Human3.6m](human3-6m) dataset. It is built by converting the RGB recordings of Human3.6m into events and synchronising raw joints ground-truth with events frames through interpolation.","description_withheld":null,"homepage":"https://iit-pavis.github.io/lifting_events_to_3d_hpe","introduced_date":"2021-04-21","introduced_date_note":null,"introduced_by":{"paper":"/paper/lifting-monocular-events-to-3d-human-poses","title":"Lifting Monocular Events to 3D Human Poses","first_author":"Gianluca Scarpellini","url":null},"license":{"name":"Custom (research-only, attribution)","url":"http://vision.imar.ro/human3.6m/eula.php"},"modalities":[],"tasks":[{"name":"3D Pose Estimation","url":"/task/3d-pose-estimation","datasets_with_task":"/datasets/task/3d-pose-estimation"},{"name":"Event-based vision","url":"/task/event-based-vision","datasets_with_task":"/datasets/task/event-based-vision"}],"languages":[],"variants":["Event-Human3.6m"],"data_loaders":[],"num_papers_in_archive":2,"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."}