{"url":"/dataset/nyu-hand","name":"NYU Hand","full_name":"NYU Hand","description_markdown":"The **NYU Hand** pose dataset contains 8252 test-set and 72757 training-set frames of captured RGBD data with ground-truth hand-pose information. For each frame, the RGBD data from 3 Kinects is provided: a frontal view and 2 side views. The training set contains samples from a single user only (Jonathan Tompson), while the test set contains samples from two users (Murphy Stein and Jonathan Tompson). A synthetic re-creation (rendering) of the hand pose is also provided for each view.\n\nSource: [https://jonathantompson.github.io/NYU_Hand_Pose_Dataset.htm](https://jonathantompson.github.io/NYU_Hand_Pose_Dataset.htm)\nImage Source: [https://jonathantompson.github.io/NYU_Hand_Pose_Dataset.htm](https://jonathantompson.github.io/NYU_Hand_Pose_Dataset.htm)","description_withheld":null,"homepage":"https://jonathantompson.github.io/NYU_Hand_Pose_Dataset.htm","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Interactive","url":"/datasets/modality/interactive"}],"tasks":[{"name":"Hand Pose Estimation","url":"/task/hand-pose-estimation","datasets_with_task":"/datasets/task/hand-pose-estimation"}],"languages":[],"variants":["NYU Hands","NYU Hand"],"data_loaders":[],"num_papers_in_archive":16,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/hand-pose-estimation-on-nyu-hands","task":"Hand Pose Estimation","dataset_variant":"NYU Hands","rows":17,"metrics":["Average 3D Error","FPS"],"first_row_in_archive_order":{"model":"Virtual View Selection","paper":"/paper/efficient-virtual-view-selection-for-3d-hand","metrics":{"Average 3D Error":"6.4"},"code_links":[{"title":"iscas3dv/handpose-virtualview","url":"https://github.com/iscas3dv/handpose-virtualview"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/mutr-multi-stage-transformer-for-hand-pose","title":"MuTr: Multi-Stage Transformer for Hand Pose Estimation from Full-Scene Depth Image","date":"2023-06-12","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/a2j-transformer-anchor-to-joint-transformer","title":"A2J-Transformer: Anchor-to-Joint Transformer Network for 3D Interacting Hand Pose Estimation from a Single RGB Image","date":"2023-04-07","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/pushing-the-envelope-for-depth-based-semi","title":"Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose Estimation with Consistency Training","date":"2023-03-27","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/trihorn-net-a-model-for-accurate-depth-based","title":"TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose Estimation","date":"2022-06-14","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/efficient-virtual-view-selection-for-3d-hand","title":"Efficient Virtual View Selection for 3D Hand Pose Estimation","date":"2022-03-29","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/handfoldingnet-a-3d-hand-pose-estimation","title":"HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton","date":"2021-08-12","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":2,"samples_unverified":1,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/awr-adaptive-weighting-regression-for-3d-hand","title":"AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation","date":"2020-07-19","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":5,"samples_ran":5,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/a2j-anchor-to-joint-regression-network-for-3d","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","date":"2019-08-27","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":9,"samples_ran":6,"samples_unverified":3,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/pixel-wise-regression-3d-hand-pose-estimation","title":"Pixel-wise Regression: 3D Hand Pose Estimation via Spatial-form Representation and Differentiable Decoder","date":"2019-05-06","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/shpr-net-deep-semantic-hand-pose-regression","title":"SHPR-Net: Deep Semantic Hand Pose Regression From Point Clouds","date":"2018-08-06","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/dense-3d-regression-for-hand-pose-estimation","title":"Dense 3D Regression for Hand Pose Estimation","date":"2017-11-24","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/v2v-posenet-voxel-to-voxel-prediction-network","title":"V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map","date":"2017-11-20","rows_on_this_dataset":1,"code_links":5,"syntology":null},{"paper":"/paper/deepprior-improving-fast-and-accurate-3d-hand","title":"DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation","date":"2017-08-28","rows_on_this_dataset":1,"code_links":4,"syntology":null},{"paper":"/paper/pose-guided-structured-region-ensemble","title":"Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation","date":"2017-08-11","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/towards-good-practices-for-deep-3d-hand-pose","title":"Towards Good Practices for Deep 3D Hand Pose Estimation","date":"2017-07-23","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/region-ensemble-network-improving","title":"Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation","date":"2017-02-08","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":3,"samples_harvested":17,"samples_ran":13,"samples_unverified":4,"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."}