{"url":"/dataset/sum","name":"SUM","full_name":null,"description_markdown":"SUM is a new benchmark dataset of semantic urban meshes which covers about 4 km2 in Helsinki (Finland), with six classes: Ground, Vegetation, Building, Water, Vehicle, and Boat.\r\n\r\nThe authors used Helsinki 3D textured meshes as input and annotated them as a benchmark dataset of semantic urban meshes. The Helsinki's raw dataset covers about 12 km2 and was generated in 2017 from oblique aerial images that have about a 7.5 cm ground sampling distance (GSD) using an off-the-shelf commercial software namely ContextCapture.\r\n\r\nThe entire region of Helsinki is split into tiles, and each of them covers about 250 m2. \r\n\r\nImage source: [Gao et al.](https://arxiv.org/pdf/2103.00355v1.pdf)","description_withheld":null,"homepage":"https://3d.bk.tudelft.nl/projects/meshannotation/","introduced_date":"2021-02-27","introduced_date_note":null,"introduced_by":{"paper":"/paper/sum-a-benchmark-dataset-of-semantic-urban","title":"SUM: A Benchmark Dataset of Semantic Urban Meshes","first_author":"Weixiao Gao","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["SUM"],"data_loaders":[],"num_papers_in_archive":9,"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."}