{"url":"/dataset/densepose","name":"DensePose","full_name":"DensePose-COCO","description_markdown":"DensePose-COCO is a large-scale ground-truth dataset with image-to-surface correspondences manually annotated\r\non 50K COCO images and train DensePose-RCNN, to densely regress part-specific UV coordinates within every human\r\nregion at multiple frames per second.\r\n\r\nSource: [DensePose: Dense Human Pose Estimation In The Wildc](https://arxiv.org/pdf/1802.00434v1.pdf)\r\nImage Source: [Guler et al](https://arxiv.org/pdf/1802.00434v1.pdf)","description_withheld":null,"homepage":"http://densepose.org/","introduced_date":"2018-02-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/densepose-dense-human-pose-estimation-in-the","title":"DensePose: Dense Human Pose Estimation In The Wild","first_author":"Riza Alp Güler","url":null},"license":{"name":"CC BY-NC 2.0","url":"http://densepose.org/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Generation","url":"/task/image-generation","datasets_with_task":"/datasets/task/image-generation"},{"name":"Pose Estimation","url":"/task/pose-estimation","datasets_with_task":"/datasets/task/pose-estimation"},{"name":"3D Human Pose Estimation","url":"/task/3d-human-pose-estimation","datasets_with_task":"/datasets/task/3d-human-pose-estimation"}],"languages":[],"variants":["DensePose"],"data_loaders":[],"num_papers_in_archive":265,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/pose-estimation-on-densepose-coco","task":"Pose Estimation","dataset_variant":"DensePose-COCO","rows":4,"metrics":["AP"],"first_row_in_archive_order":{"model":"DP-RCNN-DeepLab (ResNet-101)","paper":"/paper/continuous-surface-embeddings-1","metrics":{"AP":"68.0"},"code_links":[{"title":"facebookresearch/detectron2","url":"https://github.com/facebookresearch/detectron2/tree/main/projects/DensePose"},{"title":"zetyquickly/DensePoseFnL","url":"https://github.com/zetyquickly/DensePoseFnL"},{"title":"zhongshsh/4d-animal","url":"https://github.com/zhongshsh/4d-animal"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/meshpose-unifying-densepose-and-3d-body-mesh-1","title":"MeshPose: Unifying DensePose and 3D Body Mesh reconstruction","date":"2024-06-14","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/continuous-surface-embeddings-1","title":"Continuous Surface Embeddings","date":"2020-11-24","rows_on_this_dataset":1,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":6,"samples_ran":5,"samples_unverified":1,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/parsing-r-cnn-for-instance-level-human","title":"Parsing R-CNN for Instance-Level Human Analysis","date":"2018-11-30","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":7,"samples_ran":2,"samples_unverified":5,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/densepose-dense-human-pose-estimation-in-the","title":"DensePose: Dense Human Pose Estimation In The Wild","date":"2018-02-01","rows_on_this_dataset":1,"code_links":22,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":2,"samples_harvested":13,"samples_ran":7,"samples_unverified":6,"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."}