{"url":"/dataset/hint-hand-interactions-in-the-wild","name":"HInt: Hand Interactions in the wild","full_name":null,"description_markdown":"The HInt dataset is frequently used as a <b>generalizability benchmark</b> for 3D Hand Reconstruction. It features three data subsets: HInt-NewDays, HInt-VISOR and HInt-Ego4D subsets and it aims to complement existing datasets used for training and evaluation 3D hand pose estimation. HInt annotates 2D keypoint locations and occlusion labels for 21 keypoints on the hand. It is built off of 3 existing datasets (Hands23, Epic-Kitchens VISOR, and Ego4D) and provides annotations for images from the three existing datasets.\r\n\r\nSource: [Reconstructing Hands in 3D with Transformers](https://arxiv.org/abs/2312.05251)\r\nImage Source: [Official Dataset](https://github.com/ddshan/hint)","description_withheld":null,"homepage":"https://github.com/ddshan/hint?tab=readme-ov-file","introduced_date":"2023-12-08","introduced_date_note":null,"introduced_by":{"paper":"/paper/reconstructing-hands-in-3d-with-transformers","title":"Reconstructing Hands in 3D with Transformers","first_author":"Georgios Pavlakos","url":null},"license":{"name":"MIT License","url":"https://github.com/ddshan/hint/blob/main/LICENSE"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"3D Hand Pose Estimation","url":"/task/3d-hand-pose-estimation","datasets_with_task":"/datasets/task/3d-hand-pose-estimation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["HInt: Hand Interactions in the wild"],"data_loaders":[],"num_papers_in_archive":8,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/3d-hand-pose-estimation-on-hint-hand","task":"3D Hand Pose Estimation","dataset_variant":"HInt: Hand Interactions in the wild","rows":10,"metrics":["PCK@0.05 (New Days) All","PCK@0.05 (VISOR) All","PCK@0.05 (Ego4D) All","PCK@0.05 (NewDays) Visible","PCK@0.05 (VISOR) Visible","PCK@0.05 (Ego4D) Visible","PCK@0.05 (NewDays) Occ","PCK@0.05 (VISOR) Occ","PCK@0.05 (Ego4D) Occ"],"first_row_in_archive_order":{"model":"ExtPose*","paper":"/paper/extpose-robust-and-coherent-pose-estimation","metrics":{"PCK@0.05 (New Days) All":"59.6","PCK@0.05 (VISOR) All":"61.1"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/extpose-robust-and-coherent-pose-estimation","title":"ExtPose: Robust and Coherent Pose Estimation by Extending ViTs","date":"2025-06-18","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/mmhmr-generative-masked-modeling-for-hand","title":"MMHMR: Generative Masked Modeling for Hand Mesh Recovery","date":"2024-12-18","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/hamba-single-view-3d-hand-reconstruction-with","title":"Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba","date":"2024-07-12","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":11,"samples_ran":7,"samples_unverified":4,"pointer_only_for_licence":11,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/reconstructing-hands-in-3d-with-transformers","title":"Reconstructing Hands in 3D with Transformers","date":"2023-12-08","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-25T09:33:49+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/handoccnet-occlusion-robust-3d-hand-mesh","title":"HandOccNet: Occlusion-Robust 3D Hand Mesh Estimation Network","date":"2022-03-28","rows_on_this_dataset":2,"code_links":0,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":8,"samples_ran":6,"samples_unverified":2,"pointer_only_for_licence":8,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/mesh-graphormer","title":"Mesh Graphormer","date":"2021-04-01","rows_on_this_dataset":1,"code_links":3,"syntology":null},{"paper":"/paper/end-to-end-human-pose-and-mesh-reconstruction","title":"End-to-End Human Pose and Mesh Reconstruction with Transformers","date":"2020-12-17","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/frankmocap-fast-monocular-3d-hand-and-body","title":"FrankMocap: Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration","date":"2020-08-19","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":3,"samples_harvested":25,"samples_ran":18,"samples_unverified":7,"pointer_only_for_licence":19,"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."}