{"url":"/dataset/sceneego","name":"SceneEgo","full_name":"SceneEgo Test Dataset","description_markdown":"Evaluating human-scene interaction requires precise annotations for camera pose and scene geometry. However, such information is not available in existing datasets for egocentric human pose estimation. To solve this issue, we collected a new real-world dataset using a head-mounted fisheye camera combined with a calibration board. The ground truth scene geometry is obtained with the SfM method from a multi-view capture system with 120 synced 4K resolution cameras and the ground truth egocentric camera pose is obtained by localizing a calibration board rigidly attached to the egocentric camera. This dataset contains around 28K frames of two actors, performing various human-scene interacting motions such as sitting, reading a newspaper, and using a computer. This dataset is evenly split into training and testing splits. We fine-tuned the method on the training split before the evaluation. This dataset will be made publicly available and additional details of it are shown in the supplementary materials.","description_withheld":null,"homepage":"https://people.mpi-inf.mpg.de/~jianwang/projects/sceneego/","introduced_date":"2022-12-20","introduced_date_note":null,"introduced_by":{"paper":"/paper/scene-aware-egocentric-3d-human-pose","title":"Scene-aware Egocentric 3D Human Pose Estimation","first_author":"Jian Wang","url":null},"license":null,"modalities":[],"tasks":[{"name":"Egocentric Pose Estimation","url":"/task/egocentric-pose-estimation","datasets_with_task":"/datasets/task/egocentric-pose-estimation"}],"languages":[],"variants":["SceneEgo"],"data_loaders":[],"num_papers_in_archive":7,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/egocentric-pose-estimation-on-sceneego","task":"Egocentric Pose Estimation","dataset_variant":"SceneEgo","rows":8,"metrics":["Average MPJPE (mm)","PA-MPJPE"],"first_row_in_archive_order":{"model":"EgoWholeMocap-Temporal","paper":"/paper/egocentric-whole-body-motion-capture-with","metrics":{"Average MPJPE (mm)":"57.59","PA-MPJPE":"46.55"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/egoposeformer-a-simple-baseline-for","title":"EgoPoseFormer: A Simple Baseline for Stereo Egocentric 3D Human Pose Estimation","date":"2024-03-26","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/egocentric-whole-body-motion-capture-with","title":"Egocentric Whole-Body Motion Capture with FisheyeViT and Diffusion-Based Motion Refinement","date":"2023-11-28","rows_on_this_dataset":2,"code_links":0,"syntology":null},{"paper":"/paper/scene-aware-egocentric-3d-human-pose","title":"Scene-aware Egocentric 3D Human Pose Estimation","date":"2022-12-20","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":4,"samples_ran":3,"samples_unverified":1,"pointer_only_for_licence":4,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/estimating-egocentric-3d-human-pose-in-the","title":"Estimating Egocentric 3D Human Pose in the Wild with External Weak Supervision","date":"2022-01-20","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/estimating-egocentric-3d-human-pose-in-global","title":"Estimating Egocentric 3D Human Pose in Global Space","date":"2021-04-27","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":6,"samples_ran":5,"samples_unverified":1,"pointer_only_for_licence":6,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/xr-egopose-egocentric-3d-human-pose-from-an","title":"xR-EgoPose: Egocentric 3D Human Pose from an HMD Camera","date":"2019-07-23","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/mo2cap2-real-time-mobile-3d-motion-capture","title":"Mo2Cap2: Real-time Mobile 3D Motion Capture with a Cap-mounted Fisheye Camera","date":"2018-03-15","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":2,"samples_harvested":10,"samples_ran":8,"samples_unverified":2,"pointer_only_for_licence":10,"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."}