{"url":"/dataset/s2tld","name":"S2TLD","full_name":"SJTU Small Traffic Light Dataset","description_markdown":"**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:\n* Busy street scenes inner-city,\n* Dense stop-and-go traffic\n* Strong changes in illumination/exposure\n* Flickering/Fluctuating traffic lights\n* Multiple visible traffic lights\n* Image parts that can be confused with traffic lights (e.g. large round tail lights)\n\nSource: [https://github.com/Thinklab-SJTU/S2TLD](https://github.com/Thinklab-SJTU/S2TLD)\nImage Source: [https://github.com/Thinklab-SJTU/S2TLD](https://github.com/Thinklab-SJTU/S2TLD)","description_withheld":null,"homepage":"https://github.com/Thinklab-SJTU/S2TLD","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/scrdet-detecting-small-cluttered-and-rotated","title":"SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing","first_author":"Xue Yang","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"},{"name":"Denoising","url":"/task/denoising","datasets_with_task":"/datasets/task/denoising"}],"languages":[],"variants":["S2TLD"],"data_loaders":[{"repo":"https://github.com/Thinklab-SJTU/S2TLD","url":"https://github.com/Thinklab-SJTU/S2TLD","frameworks":[]}],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}