{"url":"/dataset/aria-digital-twin-dataset","name":"Aria Digital Twin Dataset","full_name":"Aria Digital Twin Dataset","description_markdown":"A real-world dataset, with hyper-accurate digital counterpart & comprehensive ground-truth annotation.\r\n\r\nDataset Content\r\n- 200 sequences (~400 mins)\r\n- 398 objects (324 stationary, 74 dynamic)\r\n- 2 real indoor scenes\r\n- Single + multi-user activities\r\n\r\nSensor Data per device\r\n- 2 x outward-facing monochrome camera streams\r\n- 1 x outward-facing RGB camera stream\r\n- 2 x IMU streams\r\n- 2 x Internal-facing eye tracking cameras\r\n- Complete sensor calibrations","description_withheld":null,"homepage":"https://www.projectaria.com/datasets/adt","introduced_date":"2024-09-29","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"},{"name":"3D","url":"/datasets/modality/3d"},{"name":"Point cloud","url":"/datasets/modality/point-cloud"},{"name":"3d meshes","url":"/datasets/modality/3d-meshes"},{"name":"RGB Video","url":"/datasets/modality/rgb-video"}],"tasks":[{"name":"2D Object Detection","url":"/task/2d-object-detection","datasets_with_task":"/datasets/task/2d-object-detection"},{"name":"2D Semantic Segmentation","url":"/task/2d-semantic-segmentation","datasets_with_task":"/datasets/task/2d-semantic-segmentation"},{"name":"3D Object Detection","url":"/task/3d-object-detection","datasets_with_task":"/datasets/task/3d-object-detection"},{"name":"3D Reconstruction","url":"/task/3d-reconstruction","datasets_with_task":"/datasets/task/3d-reconstruction"},{"name":"3D Depth Estimation","url":"/task/3d-depth-estimation","datasets_with_task":"/datasets/task/3d-depth-estimation"},{"name":"3D Object Tracking","url":"/task/3d-object-tracking","datasets_with_task":"/datasets/task/3d-object-tracking"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Aria Digital Twin Dataset"],"data_loaders":[{"repo":"https://github.com/facebookresearch/ATEK","url":"https://github.com/facebookresearch/ATEK","frameworks":["pytorch"]}],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/3d-reconstruction-on-aria-digital-twin","task":"3D Reconstruction","dataset_variant":"Aria Digital Twin Dataset","rows":1,"metrics":["Accuracy","Completeness","Precision"],"first_row_in_archive_order":{"model":"EVL","paper":"/paper/efm3d-a-benchmark-for-measuring-progress","metrics":{"Accuracy":"18.2","Completeness":"3.105","Precision":"59.4"},"code_links":[{"title":"facebookresearch/efm3d","url":"https://github.com/facebookresearch/efm3d"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/efm3d-a-benchmark-for-measuring-progress","title":"EFM3D: A Benchmark for Measuring Progress Towards 3D Egocentric Foundation Models","date":"2024-06-14","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":3,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":3,"samples_ran":3,"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."}