{"url":"/dataset/shapenetcore","name":"ShapeNetCore","full_name":null,"description_markdown":"ShapeNetCore is a subset of the full ShapeNet dataset with single clean 3D models and manually verified category and alignment annotations. It covers 55 common object categories with about 51,300 unique 3D models. The 12 object categories of PASCAL 3D+, a popular computer vision 3D benchmark dataset, are all covered by ShapeNetCore.","description_withheld":null,"homepage":"https://shapenet.org/","introduced_date":"2015-12-09","introduced_date_note":null,"introduced_by":{"paper":"/paper/shapenet-an-information-rich-3d-model","title":"ShapeNet: An Information-Rich 3D Model Repository","first_author":"Angel X. Chang","url":null},"license":{"name":"Custom (non-commercial)","url":"https://shapenet.org/terms"},"modalities":[{"name":"3D","url":"/datasets/modality/3d"},{"name":"3d meshes","url":"/datasets/modality/3d-meshes"}],"tasks":[{"name":"3D Reconstruction","url":"/task/3d-reconstruction","datasets_with_task":"/datasets/task/3d-reconstruction"},{"name":"Single-View 3D Reconstruction","url":"/task/single-view-3d-reconstruction","datasets_with_task":"/datasets/task/single-view-3d-reconstruction"},{"name":"3D Classification","url":"/task/3d-classification","datasets_with_task":"/datasets/task/3d-classification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["ShapeNetCore"],"data_loaders":[],"num_papers_in_archive":180,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/single-view-3d-reconstruction-on-shapenetcore","task":"Single-View 3D Reconstruction","dataset_variant":"ShapeNetCore","rows":6,"metrics":["3DIoU"],"first_row_in_archive_order":{"model":"DISN","paper":"/paper/disn-deep-implicit-surface-network-for-high","metrics":{"3DIoU":"0.57"},"code_links":[{"title":"laughtervv/DISN","url":"https://github.com/laughtervv/DISN"},{"title":"Xharlie/DISN","url":"https://github.com/Xharlie/DISN"},{"title":"Xharlie/ShapenetRender_more_variation","url":"https://github.com/Xharlie/ShapenetRender_more_variation"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/disn-deep-implicit-surface-network-for-high","title":"DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction","date":"2019-05-26","rows_on_this_dataset":6,"code_links":3,"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."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":1,"samples_ran":1,"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."}