{"url":"/dataset/tusimple-lane","name":"TuSimple Lane","full_name":null,"description_markdown":"TuSimple Lane is an extension of the [TuSimple](/dataset/tusimple) dataset with 14,336 lane boundaries annotations. Each lane boundary in the dataset is annotated using 7 different classes such as “Single Dashed”, “Double Dashed” or “Single White Continuous”.\r\n\r\nSource: [https://github.com/fabvio/TuSimple-lane-classes](https://github.com/fabvio/TuSimple-lane-classes)\r\nImage Source: [Pizzati et al](https://arxiv.org/pdf/1907.01294v2.pdf)","description_withheld":null,"homepage":"https://github.com/fabvio/TuSimple-lane-classes","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/lane-detection-and-classification-using","title":"Lane Detection and Classification using Cascaded CNNs","first_author":"Fabio Pizzati","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Autonomous Vehicles","url":"/task/autonomous-vehicles","datasets_with_task":"/datasets/task/autonomous-vehicles"},{"name":"Lane Detection","url":"/task/lane-detection","datasets_with_task":"/datasets/task/lane-detection"},{"name":"Autonomous Driving","url":"/task/autonomous-driving","datasets_with_task":"/datasets/task/autonomous-driving"}],"languages":[],"variants":["TuSimple Lane"],"data_loaders":[{"repo":"https://github.com/fabvio/TuSimple-lane-classes","url":"https://github.com/fabvio/TuSimple-lane-classes","frameworks":[]}],"num_papers_in_archive":3,"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."}