Datasets › DET
DET
DET is a lane detection dataset that consists of the raw event data, accumulated images over 30ms and corresponding lane labels. Contains 17,103 lane instances, each of which is labeled pixel by pixel manually.
Source: DET
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) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Lane Detection | DET | LDNet Average IOU 62.79 | LDNet: End-to-End Lane Marking Detection Approach Using... | likui01/LDNet | 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 1. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| LDNet: End-to-End Lane Marking Detection Approach Using a Dynamic Vision Sensor | 1 | 1 | 17 Sep 2020 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- DET
1 variant name, as the archive lists them.
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