Datasets › TuSimple
TuSimple
The TuSimple dataset consists of 6,408 road images on US highways. The resolution of image is 1280×720. The dataset is composed of 3,626 for training, 358 for validation, and 2,782 for testing called the TuSimple test set of which the images are under different weather conditions.
Source: End-to-End Lane Marker Detection via Row-wise Classification Image Source: https://www.researchgate.net/figure/a-Example-from-TuSimple-dataset-b-Derived-dataset-for-training-coordinate-network_fig4_330589970
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 | TuSimple | SCNN_UNet_Attention_PL* Accuracy 98.38 | Robust Lane Detection through Self Pre-training with... | — | 43 | Compare |
Papers archive 2025-07-28
25 shown of 25 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 76. 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
Unknown
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- TuSimple
1 variant name, as the archive lists them.
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