{"url":"/dataset/openlane-v2","name":"OpenLane-V2 val","full_name":null,"description_markdown":"**OpenLane-V2** is the world's first perception and reasoning benchmark for scene structure in autonomous driving. The primary task of the dataset is scene structure perception and reasoning, which requires the model to recognize the dynamic drivable states of lanes in the surrounding environment. The challenge of this dataset includes not only detecting lane centerlines and traffic elements but also recognizing the attribute of traffic elements and topology relationships on detected objects.\r\n\r\nThe <a href=\"https://github.com/OpenDriveLab/OpenLane-V2#task\">OLS</a> score is defined to measure model performance.","description_withheld":null,"homepage":"https://github.com/OpenDriveLab/OpenLane-V2","introduced_date":"2023-02-28","introduced_date_note":null,"introduced_by":null,"license":{"name":"Apache License 2.0","url":"https://www.apache.org/licenses/LICENSE-2.0"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Lane Detection","url":"/task/lane-detection","datasets_with_task":"/datasets/task/lane-detection"},{"name":"3D Lane Detection","url":"/task/3d-lane-detection","datasets_with_task":"/datasets/task/3d-lane-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"},{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["OpenLane-V2 val"],"data_loaders":[{"repo":"https://github.com/OpenDriveLab/OpenLane-V2","url":"https://github.com/OpenDriveLab/OpenLane-V2/blob/master/plugin/mmdet3d/baseline/datasets/openlane_v2_dataset.py","frameworks":["pytorch"]}],"num_papers_in_archive":11,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/3d-lane-detection-on-openlane-v2-2","task":"3D Lane Detection","dataset_variant":"OpenLane-V2 val","rows":9,"metrics":["OLS","DET_l","DET_t","TOP_ll","TOP_lt"],"first_row_in_archive_order":{"model":"TopoBDA","paper":"/paper/topobda-towards-bezier-deformable-attention","metrics":{"DET_l":"51.2","DET_t":"52.0","OLS":"58.7","TOP_ll":"39.8","TOP_lt":"42.0"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/lane-detection-on-openlane-v2-val","task":"Lane Detection","dataset_variant":"OpenLane-V2 val","rows":1,"metrics":["mAP"],"first_row_in_archive_order":{"model":"TopoLogic","paper":"/paper/topologic-an-interpretable-pipeline-for-lane","metrics":{"mAP":"33.2"},"code_links":[{"title":"franpin/topologic","url":"https://github.com/franpin/topologic"},{"title":"franpin/topopoint","url":"https://github.com/franpin/topopoint"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/topobda-towards-bezier-deformable-attention","title":"TopoBDA: Towards Bezier Deformable Attention for Road Topology Understanding","date":"2024-12-25","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/topomaskv2-enhanced-instance-mask-based","title":"TopoMaskV2: Enhanced Instance-Mask-Based Formulation for the Road Topology Problem","date":"2024-09-17","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/topologic-an-interpretable-pipeline-for-lane","title":"TopoLogic: An Interpretable Pipeline for Lane Topology Reasoning on Driving Scenes","date":"2024-05-23","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/topomlp-an-simple-yet-strong-pipeline-for","title":"TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning","date":"2023-10-10","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/separated-roadtopoformer","title":"Separated RoadTopoFormer","date":"2023-07-04","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/topomask-instance-mask-based-formulation-for","title":"TopoMask: Instance-Mask-Based Formulation for the Road Topology Problem via Transformer-Based Architecture","date":"2023-06-08","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/topology-reasoning-for-driving-scenes","title":"Graph-based Topology Reasoning for Driving Scenes","date":"2023-04-11","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":4,"samples_ran":0,"samples_unverified":4,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/maptr-structured-modeling-and-learning-for","title":"MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction","date":"2022-08-30","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/vectormapnet-end-to-end-vectorized-hd-map","title":"VectorMapNet: End-to-end Vectorized HD Map Learning","date":"2022-06-17","rows_on_this_dataset":1,"code_links":3,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":4,"samples_ran":0,"samples_unverified":4,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":1,"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."}