{"url":"/dataset/caltech-pedestrian-dataset","name":"Caltech Pedestrian Dataset","full_name":null,"description_markdown":"The Caltech Pedestrian Dataset consists of approximately 10 hours of 640x480 30Hz video taken from a vehicle driving through regular traffic in an urban environment. About 250,000 frames (in 137 approximately minute long segments) with a total of 350,000 bounding boxes and 2300 unique pedestrians were annotated. The annotation includes temporal correspondence between bounding boxes and detailed occlusion labels.\r\n\r\nSource: [Caltech Pedestrian Dataset](http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/)","description_withheld":null,"homepage":"http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Pedestrian Detection","url":"/task/pedestrian-detection","datasets_with_task":"/datasets/task/pedestrian-detection"}],"languages":[],"variants":["Caltech Pedestrian Dataset"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/pedestrian-detection-on-caltech-pedestrian","task":"Pedestrian Detection","dataset_variant":"Caltech Pedestrian Dataset","rows":1,"metrics":["MR"],"first_row_in_archive_order":{"model":"LSFM","paper":"/paper/localized-semantic-feature-mixers-for","metrics":{"MR":"0.87"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/localized-semantic-feature-mixers-for","title":"Localized Semantic Feature Mixers for Efficient Pedestrian Detection in Autonomous Driving","date":"2023-01-01","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"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."}