{"url":"/dataset/dublincity","name":"DublinCity","full_name":null,"description_markdown":"A novel benchmark dataset that includes a manually annotated point cloud for over 260 million laser scanning points into 100'000 (approx.) assets from Dublin LiDAR point cloud [12] in 2015. Objects are labelled into 13 classes using hierarchical levels of detail from large (i.e., building, vegetation and ground) to refined (i.e., window, door and tree) elements. \r\n\r\nSource: [DublinCity: Annotated LiDAR Point Cloud and its Applications](/paper/dublincity-annotated-lidar-point-cloud-and)","description_withheld":null,"homepage":"https://v-sense.scss.tcd.ie/dublincity/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/dublincity-annotated-lidar-point-cloud-and","title":"DublinCity: Annotated LiDAR Point Cloud and its Applications","first_author":"S. M. Iman Zolanvari","url":null},"license":{"name":"Custom (commercial on request)","url":"https://v-sense.scss.tcd.ie/dublincity/"},"modalities":[{"name":"3D","url":"/datasets/modality/3d"},{"name":"Point cloud","url":"/datasets/modality/point-cloud"},{"name":"LiDAR","url":"/datasets/modality/lidar"}],"tasks":[{"name":"3D Reconstruction","url":"/task/3d-reconstruction","datasets_with_task":"/datasets/task/3d-reconstruction"},{"name":"Scene Understanding","url":"/task/scene-understanding","datasets_with_task":"/datasets/task/scene-understanding"},{"name":"Visual Localization","url":"/task/visual-localization","datasets_with_task":"/datasets/task/visual-localization"}],"languages":[],"variants":["DublinCity"],"data_loaders":[],"num_papers_in_archive":15,"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."}