{"url":"/dataset/behave","name":"BEHAVE","full_name":null,"description_markdown":"BEHAVE is a full body human-object interaction dataset with multi-view RGBD frames and corresponding 3D SMPL and object fits along with the annotated contacts between them. Dataset contains ~15k frames at 5 locations with 8 subjects performing a wide range of interactions with 20 common objects.","description_withheld":null,"homepage":"http://virtualhumans.mpi-inf.mpg.de/behave","introduced_date":"2022-04-14","introduced_date_note":null,"introduced_by":{"paper":"/paper/behave-dataset-and-method-for-tracking-human","title":"BEHAVE: Dataset and Method for Tracking Human Object Interactions","first_author":"Bharat Lal Bhatnagar","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"3D","url":"/datasets/modality/3d"},{"name":"RGB-D","url":"/datasets/modality/rgb-d"}],"tasks":[{"name":"3D Human Reconstruction","url":"/task/3d-human-reconstruction","datasets_with_task":"/datasets/task/3d-human-reconstruction"},{"name":"3D Object Reconstruction","url":"/task/3d-object-reconstruction","datasets_with_task":"/datasets/task/3d-object-reconstruction"},{"name":"Human-Object Interaction Detection","url":"/task/human-object-interaction-detection","datasets_with_task":"/datasets/task/human-object-interaction-detection"},{"name":"Contact Detection","url":"/task/contact-detection","datasets_with_task":"/datasets/task/contact-detection"},{"name":"Human-Object-interaction motion tracking","url":"/task/human-object-interaction-motion-tracking","datasets_with_task":"/datasets/task/human-object-interaction-motion-tracking"}],"languages":[],"variants":["BEHAVE"],"data_loaders":[],"num_papers_in_archive":53,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/contact-detection-on-behave","task":"Contact Detection","dataset_variant":"BEHAVE","rows":4,"metrics":["Precision","Recall"],"first_row_in_archive_order":{"model":"CONTHO","paper":"/paper/joint-reconstruction-of-3d-human-and-object","metrics":{"Precision":"0.754","Recall":"0.587"},"code_links":[{"title":"dqj5182/contho_release","url":"https://github.com/dqj5182/contho_release"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/3d-human-reconstruction-on-behave","task":"3D Human Reconstruction","dataset_variant":"BEHAVE","rows":3,"metrics":["Chamfer Distance"],"first_row_in_archive_order":{"model":"CONTHO","paper":"/paper/joint-reconstruction-of-3d-human-and-object","metrics":{"Chamfer Distance":"4.99"},"code_links":[{"title":"dqj5182/contho_release","url":"https://github.com/dqj5182/contho_release"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/3d-object-reconstruction-on-behave","task":"3D Object Reconstruction","dataset_variant":"BEHAVE","rows":3,"metrics":["Chamfer Distance"],"first_row_in_archive_order":{"model":"CONTHO","paper":"/paper/joint-reconstruction-of-3d-human-and-object","metrics":{"Chamfer Distance":"8.42"},"code_links":[{"title":"dqj5182/contho_release","url":"https://github.com/dqj5182/contho_release"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/joint-reconstruction-of-3d-human-and-object","title":"Joint Reconstruction of 3D Human and Object via Contact-Based Refinement Transformer","date":"2024-04-07","rows_on_this_dataset":3,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":5,"samples_ran":4,"samples_unverified":1,"pointer_only_for_licence":5,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/deco-dense-estimation-of-3d-human-scene-1","title":"DECO: Dense Estimation of 3D Human-Scene Contact In The Wild","date":"2023-09-26","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":12,"samples_ran":7,"samples_unverified":5,"pointer_only_for_licence":12,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/capturing-and-inferring-dense-full-body-human-1","title":"Capturing and Inferring Dense Full-Body Human-Scene Contact","date":"2022-06-20","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/chore-contact-human-and-object-reconstruction","title":"CHORE: Contact, Human and Object REconstruction from a single RGB image","date":"2022-04-05","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":9,"samples_ran":6,"samples_unverified":3,"pointer_only_for_licence":9,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/populating-3d-scenes-by-learning-human-scene","title":"Populating 3D Scenes by Learning Human-Scene Interaction","date":"2020-12-21","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/perceiving-3d-human-object-spatial","title":"Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild","date":"2020-07-30","rows_on_this_dataset":2,"code_links":2,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":5,"samples_harvested":28,"samples_ran":19,"samples_unverified":9,"pointer_only_for_licence":28,"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."}