{"url":"/dataset/google-scanned-objects","name":"GSO","full_name":"Google Scanned Objects","description_markdown":"Scanned Objects by Google Research is a dataset of common household objects that have been 3D scanned for use in robotic simulation and synthetic perception research.","description_withheld":null,"homepage":"https://goo.gle/scanned-objects","introduced_date":"2022-04-25","introduced_date_note":null,"introduced_by":{"paper":"/paper/google-scanned-objects-a-high-quality-dataset","title":"Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Items","first_author":null,"url":null},"license":{"name":"CC-BY 4.0 License","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[],"tasks":[{"name":"Single-View 3D Reconstruction","url":"/task/single-view-3d-reconstruction","datasets_with_task":"/datasets/task/single-view-3d-reconstruction"}],"languages":[],"variants":["GSO"],"data_loaders":[],"num_papers_in_archive":102,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/single-view-3d-reconstruction-on-gso","task":"Single-View 3D Reconstruction","dataset_variant":"GSO","rows":3,"metrics":["Chamfer Distance","IoU","F-Score"],"first_row_in_archive_order":{"model":"Unique3D","paper":"/paper/unique3d-high-quality-and-efficient-3d-mesh","metrics":{"Chamfer Distance":"0.0145","F-Score":"68.45%","IoU":"55.38"},"code_links":[{"title":"AiuniAI/Unique3D","url":"https://github.com/AiuniAI/Unique3D"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/unique3d-high-quality-and-efficient-3d-mesh","title":"Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image","date":"2024-05-30","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/wonder3d-single-image-to-3d-using-cross","title":"Wonder3D: Single Image to 3D using Cross-Domain Diffusion","date":"2023-10-23","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/syncdreamer-generating-multiview-consistent","title":"SyncDreamer: Generating Multiview-consistent Images from a Single-view Image","date":"2023-09-07","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":11,"samples_ran":8,"samples_unverified":3,"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":3,"samples_harvested":13,"samples_ran":10,"samples_unverified":3,"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."}