{"url":"/dataset/mannequinchallenge","name":"MannequinChallenge","full_name":"MannequinChallenge","description_markdown":"The **MannequinChallenge** Dataset (MQC) provides in-the-wild videos of people in static poses while a hand-held camera pans around the scene. The dataset consists of three splits for training, validation and testing.\r\n\r\nSource: [Weakly-Supervised 3D Human Pose Learning via Multi-view Images in the Wild](https://arxiv.org/abs/2003.07581)\r\nImage Source: [https://google.github.io/mannequinchallenge/www/index.html](https://google.github.io/mannequinchallenge/www/index.html)","description_withheld":null,"homepage":"https://google.github.io/mannequinchallenge/www/index.html","introduced_date":"2019-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/learning-the-depths-of-moving-people-by","title":"Learning the Depths of Moving People by Watching Frozen People","first_author":"Zhengqi Li","url":null},"license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Pose Estimation","url":"/task/pose-estimation","datasets_with_task":"/datasets/task/pose-estimation"},{"name":"Depth Estimation","url":"/task/depth-estimation","datasets_with_task":"/datasets/task/depth-estimation"},{"name":"Monocular Depth Estimation","url":"/task/monocular-depth-estimation","datasets_with_task":"/datasets/task/monocular-depth-estimation"}],"languages":[],"variants":["MannequinChallenge"],"data_loaders":[],"num_papers_in_archive":28,"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."}