{"url":"/dataset/udacity","name":"Udacity","full_name":null,"description_markdown":"The **Udacity** dataset is mainly composed of video frames taken from urban roads. It provides a total number of 404,916 video frames for training and 5,614 video frames for testing. This dataset is challenging due to severe lighting changes, sharp road curves and busy traffic.\n\nSource: [Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks](https://arxiv.org/abs/1811.02759)\nImage Source: [https://www.researchgate.net/figure/Sample-from-the-Udacity-dataset-with-the-original-ground-truth-bounding-boxes-Note-that_fig3_345652980](https://www.researchgate.net/figure/Sample-from-the-Udacity-dataset-with-the-original-ground-truth-bounding-boxes-Note-that_fig3_345652980)","description_withheld":null,"homepage":"https://github.com/udacity/self-driving-car/tree/master/datasets","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Steering Control","url":"/task/steering-control","datasets_with_task":"/datasets/task/steering-control"}],"languages":[],"variants":["Udacity"],"data_loaders":[{"repo":"https://github.com/udacity/self-driving-car","url":"https://github.com/udacity/self-driving-car","frameworks":[]}],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/steering-control-on-udacity","task":"Steering Control","dataset_variant":"Udacity","rows":1,"metrics":["MAE"],"first_row_in_archive_order":{"model":"FM-Net","paper":"/paper/learning-to-steer-by-mimicking-features-from","metrics":{"MAE":"1.6236"},"code_links":[{"title":"cardwing/Codes-for-Steering-Control","url":"https://github.com/cardwing/Codes-for-Steering-Control"},{"title":"aj9011/Car-Speed-Prediction","url":"https://github.com/aj9011/Car-Speed-Prediction"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/learning-to-steer-by-mimicking-features-from","title":"Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks","date":"2018-11-07","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":6,"samples_ran":0,"samples_unverified":6,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":6,"samples_ran":0,"samples_unverified":6,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":1,"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."}