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Lane Detection datasets
archive 2025-07-28
17 datasets carry the task tag "Lane Detection" (the task itself: Lane Detection), ordered by the archive's paper count. Page 1 of 1: 17 shown of 17. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Lane Detection datasets 1–17 of 17
The nuScenes dataset is a large-scale autonomous driving dataset.
2,139 papers · 21 benchmarks
Datasets drive vision progress, yet existing driving datasets are impoverished in terms of visual content and supported tasks to study multitask learning for autonomous driving.
469 papers · 16 benchmarks
CULane is a large scale challenging dataset for academic research on traffic lane detection.
85 papers · 1 benchmark
The TuSimple dataset consists of 6,408 road images on US highways.
76 papers · 1 benchmark
OpenLane is the first real-world and the largest scaled 3D lane dataset to date.
46 papers · 2 benchmarks
CurveLanes is a new benchmark lane detection dataset with 150K lanes images for difficult scenarios such as curves and multi-lanes in traffic lane detection.
19 papers · 1 benchmark
ONCE-3DLanes is a real-world autonomous driving dataset with lane layout annotation in 3D space.
12 papers · 0 benchmarks
OpenLane-V2 is the world's first perception and reasoning benchmark for scene structure in autonomous driving.
11 papers · 2 benchmarks
comma 2k19 is a dataset of over 33 hours of commute in California's 280 highway.
11 papers · 0 benchmarks
VIL-100 is a video instance lane detection dataset, which contains 100 videos with in total 10,000 frames, acquired from different real traffic scenarios.
9 papers · 0 benchmarks
The unsupervised Labeled Lane MArkerS dataset (LLAMAS) is a dataset for lane detection and segmentation.
6 papers · 1 benchmark
ELAS is a dataset for lane detection.
5 papers · 0 benchmarks
Unsupervised Domain Adaptation demonstrates great potential to mitigate domain shifts by transferring models from labeled source domains to unlabeled target domains.
4 papers · 3 benchmarks
KAIST-Lane (K-Lane) is the world’s first and the largest public urban road and highway lane dataset for Lidar.
4 papers · 1 benchmark
TuSimple Lane is an extension of the TuSimple dataset with 14,336 lane boundaries annotations.
3 papers · 0 benchmarks
The availability of high-quality datasets play a crucial role in advancing research and development especially, for safety critical and autonomous systems.
2 papers · 0 benchmarks
DET is a lane detection dataset that consists of the raw event data, accumulated images over 30ms and corresponding lane labels.
1 paper · 1 benchmark
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.