Datasets › OpenLane-V2 val

OpenLane-V2 val

28 Feb 2023 archive 2025-07-28

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.

The OLS score is defined to measure model performance.

Benchmarks archive 2025-07-28

All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
3D Lane Detection OpenLane-V2 val TopoBDA OLS 58.7 TopoBDA: Towards Bezier Deformable Attention for Road... — 9 Compare
Lane Detection OpenLane-V2 val TopoLogic mAP 33.2 TopoLogic: An Interpretable Pipeline for Lane Topology... franpin/topologic +1 1 Compare

Papers archive 2025-07-28

9 shown of 9 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 11. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

Apache License 2.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • OpenLane-V2 val

1 variant name, as the archive lists them.

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