{"url":"/task/vehicle-color-recognition","name":"Vehicle Color Recognition","slug":"vehicle-color-recognition","description_markdown":"Vehicle Color Recognition (VCR) involves developing a system to automatically identify and classify the color of vehicles from images or video footage. This task is essential for enhancing vehicle recognition systems, particularly in surveillance, law enforcement, and traffic management applications. The goal is to accurately categorize vehicles based on color, despite challenges such as varying lighting conditions, shadows, and low-resolution images.","categories":[{"name":"Computer Vision","url":"/area/computer-vision"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":3,"papers_with_code":2,"benchmarks":0,"benchmark_tables_in_archive":0,"benchmark_tables_shown":0,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":1,"subtasks":0,"parent_tasks":1},"benchmarks":[],"datasets":[{"url":"/dataset/ufpr-vcr-dataset","name":"UFPR-VCR Dataset","full_name":"","num_papers_in_archive":1}],"subtasks":[],"parent_tasks":[{"url":"/task/fine-grained-vehicle-classification","name":"Fine-Grained Vehicle Classification"}],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":2,"of":2,"tagged_in_all":3,"items":[{"url":"/paper/vehicle-color-recognition-using-convolutional","title":"Vehicle Color Recognition using Convolutional Neural Network","date":"2015-10-26","arxiv_id":"1510.07391","repositories_listed":8,"syntology":null},{"url":"/paper/toward-enhancing-vehicle-color-recognition-in","title":"Toward Enhancing Vehicle Color Recognition in Adverse Conditions: A Dataset and Benchmark","date":"2024-08-21","arxiv_id":"2408.11589","repositories_listed":1,"syntology":null}],"syntology_records":0,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}