{"url":"/dataset/viva","name":"VIVA","full_name":"Vision for Intelligent Vehicles and Applications","description_markdown":"The **VIVA** challenge’s dataset is a multimodal dynamic hand gesture dataset specifically designed with difficult settings of cluttered background, volatile illumination, and frequent occlusion for studying natural human activities in real-world driving settings. This dataset was captured using a Microsoft Kinect device, and contains 885 intensity and depth video sequences of 19 different dynamic hand gestures performed by 8 subjects inside a vehicle.\r\n\r\nSource: [Short-Term Temporal Convolutional Networks for Dynamic Hand Gesture Recognition](https://arxiv.org/abs/2001.05833)\r\nImage Source: [http://www.site.uottawa.ca/research/viva/projects/hand_detection/index.html](http://www.site.uottawa.ca/research/viva/projects/hand_detection/index.html)","description_withheld":null,"homepage":"http://cvrr.ucsd.edu/vivachallenge/","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Hand Gesture Recognition","url":"/task/hand-gesture-recognition","datasets_with_task":"/datasets/task/hand-gesture-recognition"},{"name":"Hand-Gesture Recognition","url":"/task/hand-gesture-recognition-1","datasets_with_task":"/datasets/task/hand-gesture-recognition-1"}],"languages":[],"variants":["VIVA Hand Gestures Dataset","VIVA"],"data_loaders":[],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/hand-gesture-recognition-on-viva-hand","task":"Hand-Gesture Recognition","dataset_variant":"VIVA Hand Gestures Dataset","rows":4,"metrics":["Accuracy","Accuracy-CN"],"first_row_in_archive_order":{"model":"Two 3DCNNs: LRN + HRN [11]","paper":"/paper/lossless-compression-for-3dcnns-based-on","metrics":{"Accuracy":"77.5"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/hand-gesture-recognition-on-viva-hand-1","task":"Hand Gesture Recognition","dataset_variant":"VIVA Hand Gestures Dataset","rows":3,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"MTUT","paper":"/paper/improving-the-performance-of-unimodal-dynamic","metrics":{"Accuracy":"86.08"},"code_links":[{"title":"sbhonde1/Multimodal-Learning","url":"https://github.com/sbhonde1/Multimodal-Learning"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/lossless-compression-for-3dcnns-based-on","title":"Compressing 3DCNNs Based on Tensor Train Decomposition","date":"2019-12-08","rows_on_this_dataset":4,"code_links":0,"syntology":null},{"paper":"/paper/improving-the-performance-of-unimodal-dynamic","title":"Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition with Multimodal Training","date":"2018-12-14","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/quo-vadis-action-recognition-a-new-model-and","title":"Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset","date":"2017-05-22","rows_on_this_dataset":1,"code_links":34,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":28,"samples_ran":16,"samples_unverified":12,"pointer_only_for_licence":7,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/two-stream-convolutional-networks-for-action","title":"Two-Stream Convolutional Networks for Action Recognition in Videos","date":"2014-06-09","rows_on_this_dataset":1,"code_links":7,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":7,"samples_ran":1,"samples_unverified":6,"pointer_only_for_licence":2,"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":2,"samples_harvested":35,"samples_ran":17,"samples_unverified":18,"pointer_only_for_licence":9,"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."}