{"url":"/dataset/brnocompspeed","name":"BrnoCompSpeed","full_name":null,"description_markdown":"The dataset contains 21 full-HD videos, each around 1 hr long, captured at six different locations. Vehicles in the videos (20 865 instances in total) are annotated with the precise speed measurements from optical gates using LiDAR and verified with several reference GPS tracks. The dataset is available for download and it contains the videos and metadata (calibration, lengths of features in image, annotations, and so on) for future comparison and evaluation.\r\n\r\nThis dataset was published with paper SOCHOR Jakub et al. Comprehensive Data Set for Automatic Single Camera Visual Speed Measurement, IEEE T-ITS.","description_withheld":null,"homepage":"https://github.com/JakubSochor/BrnoCompSpeed","introduced_date":"2018-08-05","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Vehicle Speed Estimation","url":"/task/vehicle-speed-estimation","datasets_with_task":"/datasets/task/vehicle-speed-estimation"},{"name":"Camera Auto-Calibration","url":"/task/camera-auto-calibration","datasets_with_task":"/datasets/task/camera-auto-calibration"}],"languages":[],"variants":["BrnoCompSpeed"],"data_loaders":[],"num_papers_in_archive":13,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/vehicle-speed-estimation-on-brnocompspeed","task":"Vehicle Speed Estimation","dataset_variant":"BrnoCompSpeed","rows":4,"metrics":["Mean Speed Measurement Error (km/h)","Median Speed Measurement Error (km/h)","95-th Percentile Speed Measurement Error (km/h)","99-th Percentile Speed Measurement Error (km/h)"],"first_row_in_archive_order":{"model":"Transform3D","paper":"/paper/detection-of-3d-bounding-boxes-of-vehicles","metrics":{"95-th Percentile Speed Measurement Error (km/h)":"1.84","Mean Speed Measurement Error (km/h)":"0.75","Median Speed Measurement Error (km/h)":"0.58"},"code_links":[{"title":"kocurvik/retinanet_traffic_3D","url":"https://github.com/kocurvik/retinanet_traffic_3D"},{"title":"kocurvik/BCS_results","url":"https://github.com/kocurvik/BCS_results"},{"title":"gajdosech2/vehicle-speed-estimation-yolov6-3d","url":"https://github.com/gajdosech2/vehicle-speed-estimation-yolov6-3d"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/detection-of-3d-bounding-boxes-of-vehicles","title":"Detection of 3D Bounding Boxes of Vehicles Using Perspective Transformation for Accurate Speed Measurement","date":"2020-03-29","rows_on_this_dataset":1,"code_links":3,"syntology":null},{"paper":"/paper/perspective-transformation-for-accurate","title":"Perspective transformation for accurate detection of 3D bounding boxes of vehicles in traffic surveillance","date":"2019-02-08","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/traffic-surveillance-camera-calibration-by-3d","title":"Traffic Surveillance Camera Calibration by 3D Model Bounding Box Alignment for Accurate Vehicle Speed Measurement","date":"2017-02-21","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."}