{"url":"/dataset/densepose-track","name":"DensePose-Track","full_name":null,"description_markdown":"DensePose-Track is a dataset of videos where selected frames are annotated in the traditional DensePose manner.\r\n\r\nSource: [Slim DensePose: Thrifty Learning from Sparse Annotations and Motion Cues](https://arxiv.org/pdf/1906.05706)","description_withheld":null,"homepage":"https://arxiv.org/pdf/1906.05706.pdf","introduced_date":"2019-06-13","introduced_date_note":null,"introduced_by":{"paper":"/paper/slim-densepose-thrifty-learning-from-sparse-1","title":"Slim DensePose: Thrifty Learning from Sparse Annotations and Motion Cues","first_author":"Natalia Neverova","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Pose Estimation","url":"/task/pose-estimation","datasets_with_task":"/datasets/task/pose-estimation"}],"languages":[],"variants":["DensePose-Track"],"data_loaders":[],"num_papers_in_archive":1,"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."}