Datasets › S2TLD

S2TLD (SJTU Small Traffic Light Dataset)

Introduced by Xue Yang et al. in SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing archive 2025-07-28

S2TLD is a traffic light dataset, which contains 5,786 images of approximately 1,080 * 1,920 pixels and 720 * 1,280 pixels. It also contains 5 categories (include red, yellow, green, off and wait on) of 1,4130 instances. The scenes cover a decent variety of road scenes and typical: * Busy street scenes inner-city, * Dense stop-and-go traffic * Strong changes in illumination/exposure * Flickering/Fluctuating traffic lights * Multiple visible traffic lights * Image parts that can be confused with traffic lights (e.g. large round tail lights)

Source: https://github.com/Thinklab-SJTU/S2TLD Image Source: https://github.com/Thinklab-SJTU/S2TLD

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 4 papers for it but never published that list.

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

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • S2TLD

1 variant name, as the archive lists them.

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