{"url":"/dataset/buildingnet","name":"BuildingNet","full_name":null,"description_markdown":"**BuildingNet** is a large-scale dataset of 3D building models whose exteriors are consistently labeled. The dataset consists on 513K annotated mesh primitives, grouped into 292K semantic part components across 2K building models. The dataset covers several building categories, such as houses, churches, skyscrapers, town halls, libraries, and castles.","description_withheld":null,"homepage":"http://www.buildingnet.org","introduced_date":"2021-10-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/buildingnet-learning-to-label-3d-buildings-1","title":"BuildingNet: Learning to Label 3D Buildings","first_author":"Pratheba Selvaraju","url":null},"license":{"name":"Custom","url":"https://buildingnet.org/"},"modalities":[{"name":"3D","url":"/datasets/modality/3d"},{"name":"3d meshes","url":"/datasets/modality/3d-meshes"}],"tasks":[{"name":"3D Semantic Segmentation","url":"/task/3d-semantic-segmentation","datasets_with_task":"/datasets/task/3d-semantic-segmentation"},{"name":"3D Building Mesh Labeling","url":"/task/3d-building-mesh-labeling","datasets_with_task":"/datasets/task/3d-building-mesh-labeling"}],"languages":[],"variants":["BuildingNet","BuildingNet-Mesh"],"data_loaders":[],"num_papers_in_archive":11,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"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."}