{"url":"/dataset/once-3dlanes","name":"ONCE-3DLanes","full_name":"Monocular 3D Lane Detection Dataset","description_markdown":"ONCE-3DLanes is a real-world autonomous driving dataset with lane layout annotation in 3D space. A dataset annotation pipeline is designed to automatically generate high-quality 3D lane locations from 2D lane annotations by exploiting the explicit relationship between point clouds and image pixels in 211,000 road scenes.","description_withheld":null,"homepage":"https://once-3dlanes.github.io/","introduced_date":"2022-04-30","introduced_date_note":null,"introduced_by":{"paper":"/paper/once-3dlanes-building-monocular-3d-lane","title":"ONCE-3DLanes: Building Monocular 3D Lane Detection","first_author":"Fan Yan","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Lane Detection","url":"/task/lane-detection","datasets_with_task":"/datasets/task/lane-detection"},{"name":"Autonomous Driving","url":"/task/autonomous-driving","datasets_with_task":"/datasets/task/autonomous-driving"},{"name":"3D Lane Detection","url":"/task/3d-lane-detection","datasets_with_task":"/datasets/task/3d-lane-detection"}],"languages":[],"variants":["ONCE-3DLanes"],"data_loaders":[{"repo":"https://github.com/once-3dlanes/once_3dlanes_benchmark","url":"https://github.com/once-3dlanes/once_3dlanes_benchmark","frameworks":["pytorch"]}],"num_papers_in_archive":12,"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":"2026-09-25T09:33:49+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."}