{"url":"/dataset/relative-human","name":"Relative Human","full_name":null,"description_markdown":"Relative Human (RH) contains multi-person in-the-wild RGB images with rich human annotations, including:\r\n\r\nDepth layers: relative depth relationship/ordering between all people in the image.\r\nAge group classfication: adults, teenagers, kids, babies.\r\nOthers: Genders, Bounding box, 2D pose.","description_withheld":null,"homepage":"https://github.com/Arthur151/Relative_Human","introduced_date":"2021-12-15","introduced_date_note":null,"introduced_by":{"paper":"/paper/putting-people-in-their-place-monocular","title":"Putting People in their Place: Monocular Regression of 3D People in Depth","first_author":"Yu Sun","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"2D Human Pose Estimation","url":"/task/2d-human-pose-estimation","datasets_with_task":"/datasets/task/2d-human-pose-estimation"},{"name":"3D Absolute Human Pose Estimation","url":"/task/3d-absolute-human-pose-estimation","datasets_with_task":"/datasets/task/3d-absolute-human-pose-estimation"},{"name":"3D Depth Estimation","url":"/task/3d-depth-estimation","datasets_with_task":"/datasets/task/3d-depth-estimation"},{"name":"3D Multi-Person Mesh Recovery","url":"/task/3d-multi-person-mesh-recovery","datasets_with_task":"/datasets/task/3d-multi-person-mesh-recovery"},{"name":"3D Multi-Person Pose Estimation (absolute)","url":"/task/3d-multi-person-pose-estimation-absolute","datasets_with_task":"/datasets/task/3d-multi-person-pose-estimation-absolute"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Relative Human"],"data_loaders":[{"repo":"https://github.com/Arthur151/Relative_Human","url":"https://github.com/Arthur151/Relative_Human","frameworks":["pytorch"]}],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/3d-depth-estimation-on-relative-human","task":"3D Depth Estimation","dataset_variant":"Relative Human","rows":3,"metrics":["PCDR","PCDR-Baby","PCDR-Kid","PCDR-Teen","PCDR-Adult","mPCDK"],"first_row_in_archive_order":{"model":"BEV","paper":"/paper/putting-people-in-their-place-monocular","metrics":{"PCDR":"68.27","PCDR-Adult":"69.71","PCDR-Baby":"60.77","PCDR-Kid":"67.09","PCDR-Teen":"66.07","mPCDK":"0.884"},"code_links":[{"title":"Arthur151/CenterHMR","url":"https://github.com/Arthur151/CenterHMR"},{"title":"Arthur151/ROMP","url":"https://github.com/Arthur151/ROMP"},{"title":"Arthur151/Relative_Human","url":"https://github.com/Arthur151/Relative_Human"},{"title":"cai-jianfeng/ROMP_mindspore","url":"https://github.com/cai-jianfeng/ROMP_mindspore"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/3d-multi-person-mesh-recovery-on-relative","task":"3D Multi-Person Mesh Recovery","dataset_variant":"Relative Human","rows":1,"metrics":["PCDR"],"first_row_in_archive_order":{"model":"ROMP","paper":"/paper/centerhmr-a-bottom-up-single-shot-method-for","metrics":{"PCDR":"68.27"},"code_links":[{"title":"Arthur151/ROMP","url":"https://github.com/Arthur151/ROMP"},{"title":"cai-jianfeng/ROMP_mindspore","url":"https://github.com/cai-jianfeng/ROMP_mindspore"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/putting-people-in-their-place-monocular","title":"Putting People in their Place: Monocular Regression of 3D People in Depth","date":"2021-12-15","rows_on_this_dataset":1,"code_links":4,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":8,"samples_ran":3,"samples_unverified":5,"pointer_only_for_licence":3,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/centerhmr-a-bottom-up-single-shot-method-for","title":"Monocular, One-stage, Regression of Multiple 3D People","date":"2020-08-27","rows_on_this_dataset":2,"code_links":2,"syntology":null},{"paper":"/paper/coherent-reconstruction-of-multiple-humans-1","title":"Coherent Reconstruction of Multiple Humans from a Single Image","date":"2020-06-15","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":8,"samples_ran":3,"samples_unverified":5,"pointer_only_for_licence":3,"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."}