{"url":"/dataset/watch-n-patch","name":"Watch-n-Patch","full_name":"Watch-n-Patch","description_markdown":"The **Watch-n-Patch** dataset was created with the focus on modeling human activities, comprising multiple actions in a completely unsupervised setting. It is collected with Microsoft Kinect One sensor for a total length of about 230 minutes, divided in 458 videos. 7 subjects perform human daily activities in 8 offices and 5 kitchens with complex backgrounds. Moreover, skeleton data are provided as ground truth annotations.\r\n\r\nSource: [Head Detection with Depth Images in the Wild](https://arxiv.org/abs/1707.06786)\r\nImage Source: [https://openaccess.thecvf.com/content_cvpr_2015/papers/Wu_Watch-n-Patch_Unsupervised_Understanding_2015_CVPR_paper.pdf](https://openaccess.thecvf.com/content_cvpr_2015/papers/Wu_Watch-n-Patch_Unsupervised_Understanding_2015_CVPR_paper.pdf)","description_withheld":null,"homepage":"","introduced_date":"2015-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/watch-n-patch-unsupervised-understanding-of","title":"Watch-n-Patch: Unsupervised Understanding of Actions and Relations","first_author":"Chenxia Wu","url":null},"license":{"name":"Custom","url":"https://aimagelab.ing.unimore.it/imagelab/page.asp?IdPage=32"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Interactive","url":"/datasets/modality/interactive"}],"tasks":[{"name":"Action Recognition","url":"/task/action-recognition-in-videos","datasets_with_task":"/datasets/task/action-recognition-in-videos"},{"name":"Action Segmentation","url":"/task/action-segmentation","datasets_with_task":"/datasets/task/action-segmentation"},{"name":"Human-Object Interaction Detection","url":"/task/human-object-interaction-detection","datasets_with_task":"/datasets/task/human-object-interaction-detection"}],"languages":[],"variants":["Watch-n-Patch"],"data_loaders":[],"num_papers_in_archive":13,"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."}