{"url":"/dataset/ut-interaction","name":"UT-Interaction","full_name":null,"description_markdown":"The **UT-Interaction** dataset contains videos of continuous executions of 6 classes of human-human interactions: shake-hands, point, hug, push, kick and punch. Ground truth labels for these interactions are provided, including time intervals and bounding boxes. There is a total of 20 video sequences whose lengths are around 1 minute. Each video contains at least one execution per interaction, resulting in 8 executions of human activities per video on average. Several participants with more than 15 different clothing conditions appear in the videos. The videos are taken with the resolution of 720*480, 30fps, and the height of a person in the video is about 200 pixels.\r\n\r\nSource: [https://cvrc.ece.utexas.edu/SDHA2010/Human_Interaction.html](https://cvrc.ece.utexas.edu/SDHA2010/Human_Interaction.html)\r\nImage Source: [https://cvrc.ece.utexas.edu/SDHA2010/Human_Interaction.html](https://cvrc.ece.utexas.edu/SDHA2010/Human_Interaction.html)","description_withheld":null,"homepage":"https://cvrc.ece.utexas.edu/SDHA2010/Human_Interaction.html","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":null,"title":"UT-Interaction Dataset, ICPR contest on Semantic Description of Human Activities (SDHA)","first_author":null,"url":"http://cvrc.ece.utexas.edu/SDHA2010/Human˙Interaction.html"},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Human Interaction Recognition","url":"/task/human-interaction-recognition","datasets_with_task":"/datasets/task/human-interaction-recognition"}],"languages":[],"variants":["UT-Interaction"],"data_loaders":[],"num_papers_in_archive":21,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/human-interaction-recognition-on-ut-1","task":"Human Interaction Recognition","dataset_variant":"UT-Interaction","rows":1,"metrics":["Accuracy (Set 1)","Accuracy (Set 2)"],"first_row_in_archive_order":{"model":"LSTM-IRN'fc1inter+intra","paper":"/paper/interaction-relational-network-for-mutual","metrics":{"Accuracy (Set 1)":"98.3","Accuracy (Set 2)":"96.7"},"code_links":[{"title":"mauriciolp/inter-rel-net","url":"https://github.com/mauriciolp/inter-rel-net"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/interaction-relational-network-for-mutual","title":"Interaction Relational Network for Mutual Action Recognition","date":"2019-10-11","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":2,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":2,"samples_ran":2,"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."}