{"url":"/dataset/composable-activities-dataset","name":"Composable activities dataset","full_name":null,"description_markdown":"The Composable activities dataset consists of 693 videos that contain activities in 16 classes performed by 14 actors. Each activity is composed of 3 to 11 atomic actions. RGB-D data for each sequence is captured using a Microsoft Kinect sensor and estimate position of relevant body joints.\r\n\r\nThe dataset provides annotations of the activity for each video and the actions for each of the four human parts (left/right arm and leg) for each frame in every video.\r\n\r\nSource: [Discriminative Hierarchical Modeling of Spatio-Temporally Composable Human Activities](/paper/discriminative-hierarchical-modeling-of)\r\nImage Source: [https://ialillo.sitios.ing.uc.cl/ActionsCVPR2014/](https://ialillo.sitios.ing.uc.cl/ActionsCVPR2014/)","description_withheld":null,"homepage":"http://ialillo.sitios.ing.uc.cl/ActionsCVPR2014/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/discriminative-hierarchical-modeling-of","title":"Discriminative Hierarchical Modeling of Spatio-Temporally Composable Human Activities","first_author":"Ivan Lillo","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"},{"name":"RGB-D","url":"/datasets/modality/rgb-d"}],"tasks":[{"name":"Pose Estimation","url":"/task/pose-estimation","datasets_with_task":"/datasets/task/pose-estimation"},{"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"}],"languages":[],"variants":["Composable activities 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."}