{"url":"/dataset/rodosol-alpr","name":"RodoSol-ALPR","full_name":null,"description_markdown":"This dataset, called RodoSol-ALPR dataset, contains 20,000 images captured by static cameras located at pay tolls owned by the *Rodovia do Sol* (RodoSol) concessionaire, which operates 67.5 kilometers of a highway (ES-060) in the Brazilian state of Espírito Santo.\r\n\r\nThere are images of different types of vehicles (e.g., cars, motorcycles, buses and trucks), captured during the day and night, from distinct lanes, on clear and rainy days, and the distance from the vehicle to the camera varies slightly. All images have a resolution of 1,280 × 720 pixels.\r\n\r\nAn important feature of the proposed dataset is that it has images of two different license plate (LP) layouts: Brazilian and Mercosur (to maintain consistency with existing works, we refer to “Brazilian” as the standard used in Brazil before the adoption of the Mercosur standard). \r\n\r\nEvery image has the following information available in a text file: the vehicle’s type (car or motorcycle), the LP’s layout (Brazilian or Mercosul), its text (e.g., ABC-1234), and the position (x, y) of each of its four corners. We labeled the corners instead of just the LP bounding box to enable the training of methods that explore LP rectification, as well as the application of a wider range of data augmentation techniques.\r\n\r\nRegarding privacy concerns related to our dataset, we remark that in Brazil the LPs are related to the respective vehicles, i.e., no public information is available about the vehicle drivers/owners. Moreover, all human faces (e.g., drivers or RodoSol’s employees) were manually redacted (i.e., blurred) in each image.","description_withheld":null,"homepage":"https://github.com/raysonlaroca/rodosol-alpr-dataset/","introduced_date":"2022-02-06","introduced_date_note":null,"introduced_by":{"paper":"/paper/on-the-cross-dataset-generalization-for","title":"On the Cross-dataset Generalization in License Plate Recognition","first_author":"Rayson Laroca","url":null},"license":{"name":"Research Only","url":"https://github.com/raysonlaroca/rodosol-alpr-dataset/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Optical Character Recognition (OCR)","url":"/task/optical-character-recognition","datasets_with_task":"/datasets/task/optical-character-recognition"},{"name":"Scene Text Recognition","url":"/task/scene-text-recognition","datasets_with_task":"/datasets/task/scene-text-recognition"},{"name":"License Plate Recognition","url":"/task/license-plate-recognition","datasets_with_task":"/datasets/task/license-plate-recognition"},{"name":"License Plate Detection","url":"/task/license-plate-detection","datasets_with_task":"/datasets/task/license-plate-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["RodoSol-ALPR"],"data_loaders":[],"num_papers_in_archive":8,"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."}