{"url":"/dataset/hollywood-3d-dataset","name":"Hollywood 3D dataset","full_name":null,"description_markdown":"A dataset for benchmarking action recognition algorithms in natural environments, while making use of 3D information. The dataset contains around 650 video clips, across 14 classes. In addition, two state of the art action recognition algorithms are extended to make use of the 3D data, and five new interest point detection strategies are also proposed, that extend to the 3D data. \r\n\r\nSource: [Hollywood 3D: Recognizing Actions in 3D Natural Scenes](/paper/hollywood-3d-recognizing-actions-in-3d)","description_withheld":null,"homepage":"http://cvssp.org/Hollywood3D/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/hollywood-3d-recognizing-actions-in-3d","title":"Hollywood 3D: Recognizing Actions in 3D Natural Scenes","first_author":"Simon Hadfield","url":null},"license":null,"modalities":[],"tasks":[{"name":"Action Recognition","url":"/task/action-recognition-in-videos","datasets_with_task":"/datasets/task/action-recognition-in-videos"},{"name":"Temporal Action Localization","url":"/task/action-recognition","datasets_with_task":"/datasets/task/action-recognition"},{"name":"Interest Point Detection","url":"/task/interest-point-detection","datasets_with_task":"/datasets/task/interest-point-detection"}],"languages":[],"variants":["Hollywood 3D dataset"],"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."}