Datasets › OpenLane-V2 test

OpenLane-V2 test

20 Apr 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. And test server is here.

Benchmarks archive 2025-07-28

All 1 leaderboard 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 test TopoMask OLS 39.2 TopoMask: Instance-Mask-Based Formulation for the Road... — 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper 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 3. The Syntology column is from Syntology's graph (read 2026-09-25), stated per sample; it is not part of any archive number.

DateSamples run Syntology
TopoMask: Instance-Mask-Based Formulation for the Road Topology Problem via Transformer-Based Architecture 0 1 8 Jun 2023 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

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 test

1 variant name, as the archive lists them.

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