{"url":"/dataset/chalearn-pose","name":"ChaLearn Pose","full_name":"ChaLearn Pose","description_markdown":"**ChaLearn Pose** is a subset of the ChaLearn 2013 Multi-modal gesture dataset from Escalera et al. ICMI'13, which contains 23 hours of Kinect data of 27 persons performing 20 Italian gestures. The data includes RGB, depth, foreground segmentations and full body skeletons. In this dataset, both the training and testing labels are noisy (from Kinect).\n\nSource: [https://www.robots.ox.ac.uk/~vgg/data/pose/index.html#citation](https://www.robots.ox.ac.uk/~vgg/data/pose/index.html#citation)\nImage Source: [http://sunai.uoc.edu/chalearnLAP/](http://sunai.uoc.edu/chalearnLAP/)","description_withheld":null,"homepage":"https://www.robots.ox.ac.uk/~vgg/data/pose/index.html#citation","introduced_date":"2013-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"Multi-modal Gesture Recognition Challenge 2013: Dataset and Results","first_author":null,"url":"http://refbase.cvc.uab.es/files/EGB2013.pdf"},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[{"name":"Italian","url":"/datasets/language/italian"}],"variants":["ChaLearn Pose"],"data_loaders":[],"num_papers_in_archive":0,"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."}