{"url":"/dataset/unrealego","name":"UnrealEgo","full_name":null,"description_markdown":"**UnrealEgo** is a dataset that provides in-the-wild stereo images with a large variety of motions for 3D human pose estimation. The in-the-wild stereo images are stereo fisheye images and depth maps with a resolution of 1024×1024 pixels each with 25 frames per second and a total of 450k  (900k images) are captured for the dataset. Metadata is provided for each frame, including 3D joint positions, camera positions, and 2D coordinates of reprojected joint positions in the fisheye views.","description_withheld":null,"homepage":"https://4dqv.mpi-inf.mpg.de/UnrealEgo/","introduced_date":"2022-08-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/unrealego-a-new-dataset-for-robust-egocentric","title":"UnrealEgo: A New Dataset for Robust Egocentric 3D Human Motion Capture","first_author":"Hiroyasu Akada","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"3D","url":"/datasets/modality/3d"}],"tasks":[{"name":"Pose Estimation","url":"/task/pose-estimation","datasets_with_task":"/datasets/task/pose-estimation"},{"name":"3D Pose Estimation","url":"/task/3d-pose-estimation","datasets_with_task":"/datasets/task/3d-pose-estimation"},{"name":"Egocentric Pose Estimation","url":"/task/egocentric-pose-estimation","datasets_with_task":"/datasets/task/egocentric-pose-estimation"}],"languages":[],"variants":["UnrealEgo"],"data_loaders":[],"num_papers_in_archive":11,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/egocentric-pose-estimation-on-unrealego","task":"Egocentric Pose Estimation","dataset_variant":"UnrealEgo","rows":6,"metrics":["Average MPJPE (mm)","PA-MPJPE"],"first_row_in_archive_order":{"model":"EgoPoseFormer","paper":"/paper/egoposeformer-a-simple-baseline-for","metrics":{"Average MPJPE (mm)":"33.4","PA-MPJPE":"32.7"},"code_links":[{"title":"chenhongyiyang/egoposeformer","url":"https://github.com/chenhongyiyang/egoposeformer"}]},"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/attention-propagation-network-for-egocentric","title":"Attention-Propagation Network for Egocentric Heatmap to 3D Pose Lifting","date":"2024-02-28","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/simpleego-predicting-probabilistic-body-pose","title":"SimpleEgo: Predicting Probabilistic Body Pose from Egocentric Cameras","date":"2024-01-26","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/3d-human-pose-perception-from-egocentric","title":"3D Human Pose Perception from Egocentric Stereo Videos","date":"2023-12-30","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/ego3dpose-capturing-3d-cues-from-binocular","title":"Ego3DPose: Capturing 3D Cues from Binocular Egocentric Views","date":"2023-09-21","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/unrealego-a-new-dataset-for-robust-egocentric","title":"UnrealEgo: A New Dataset for Robust Egocentric 3D Human Motion Capture","date":"2022-08-02","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"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."}