{"url":"/dataset/lisa-vehicle-detection","name":"LISA Vehicle Detection","full_name":null,"description_markdown":"This is a dataset for vehicle detection. It consists of:\r\n\r\n* Three color video sequences captured at different times of the day and illumination settings: morning, evening, sunny, cloudy, etc.\r\n* Different driving environments: highway and urban.\r\n* Varying traffic conditions: light to dense traffic\r\n\r\nPaper: [A General Active-Learning Framework for On-Road Vehicle Recognition and Tracking](https://doi.org/10.1109/TITS.2010.2040177)\r\n\r\nSource: [Vehicle Detection Dataset](http://cvrr.ucsd.edu/LISA/vehicledetection.html)\r\n\r\nImage Source: [Vehicle Detection Dataset](http://cvrr.ucsd.edu/LISA/vehicledetection.html)","description_withheld":null,"homepage":"http://cvrr-nas.ucsd.edu/LISA/vehicledetection.html","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[],"languages":[],"variants":["LISA Vehicle Detection"],"data_loaders":[{"repo":"https://github.com/username/repository","url":"https://github.com/username/repository","frameworks":["pytorch"]}],"num_papers_in_archive":0,"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."}