{"url":"/task/license-plate-detection","name":"License Plate Detection","slug":"license-plate-detection","description_markdown":"License Plate Detection is an image-processing technology used to identify vehicles by their license plates. This technology is used in various security and traffic applications.","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":39,"papers_with_code":19,"benchmarks":0,"benchmark_tables_in_archive":1,"benchmark_tables_shown":0,"benchmark_tables_withheld_as_spam":1,"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":12,"subtasks":0,"parent_tasks":1},"benchmarks":[],"datasets":[{"url":"/dataset/common-voice","name":"Common Voice","full_name":"Common Voice","num_papers_in_archive":449},{"url":"/dataset/ufpr-alpr","name":"UFPR-ALPR","full_name":"","num_papers_in_archive":15},{"url":"/dataset/rodosol-alpr","name":"RodoSol-ALPR","full_name":"","num_papers_in_archive":8},{"url":"/dataset/ssig-segplate","name":"SSIG-SegPlate","full_name":"","num_papers_in_archive":8},{"url":"/dataset/chineselp","name":"ChineseLP","full_name":"","num_papers_in_archive":4},{"url":"/dataset/vehicle-rear","name":"Vehicle-Rear","full_name":"","num_papers_in_archive":3},{"url":"/dataset/caltech-cars","name":"Caltech Cars","full_name":"","num_papers_in_archive":2},{"url":"/dataset/msda","name":"MSDA","full_name":"Multi-source domain adaptation dataset for text recognition","num_papers_in_archive":2},{"url":"/dataset/pku-license-plate-detection","name":"PKU (License Plate Detection)","full_name":"","num_papers_in_archive":2},{"url":"/dataset/cd-hard","name":"CD-HARD","full_name":"","num_papers_in_archive":1},{"url":"/dataset/clpd","name":"CLPD","full_name":"China License Plate Dataset","num_papers_in_archive":1},{"url":"/dataset/nomeroff-russian-license-plates","name":"Nomeroff Russian License Plates","full_name":"","num_papers_in_archive":0}],"subtasks":[],"parent_tasks":[{"url":"/task/object-detection","name":"Object Detection"}],"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":19,"of":19,"tagged_in_all":39,"items":[{"url":"/paper/vehicle-and-license-plate-recognition-with","title":"Vehicle and License Plate Recognition with Novel Dataset for Toll Collection","date":"2022-02-11","arxiv_id":"2202.05631","repositories_listed":3,"syntology":null},{"url":"/paper/towards-end-to-end-license-plate-detection","title":"Towards End-to-End License Plate Detection and Recognition: A Large Dataset and Baseline","date":"2018-09-01","arxiv_id":null,"repositories_listed":2,"syntology":null},{"url":"/paper/a-robust-real-time-automatic-license-plate","title":"A Robust Real-Time Automatic License Plate Recognition Based on the YOLO Detector","date":"2018-02-26","arxiv_id":"1802.09567","repositories_listed":2,"syntology":null},{"url":"/paper/efficient-license-plate-recognition-in-videos","title":"Efficient License Plate Recognition in Videos Using Visual Rhythm and Accumulative Line Analysis","date":"2025-01-08","arxiv_id":"2501.04750","repositories_listed":1,"syntology":null},{"url":"/paper/a-training-free-framework-for-video-license","title":"A Training-Free Framework for Video License Plate Tracking and Recognition with Only One-Shot","date":"2024-08-11","arxiv_id":"2408.05729","repositories_listed":1,"syntology":null},{"url":"/paper/samlp-a-customized-segment-anything-model-for","title":"SamLP: A Customized Segment Anything Model for License Plate Detection","date":"2024-01-12","arxiv_id":"2401.06374","repositories_listed":1,"syntology":null},{"url":"/paper/adversarial-sample-generation-and-training","title":"Adversarial sample generation and training using geometric masks for accurate and resilient license plate character recognition","date":"2023-10-25","arxiv_id":"2311.12857","repositories_listed":1,"syntology":null},{"url":"/paper/character-time-series-matching-for-robust-1","title":"Character Time-series Matching For Robust License Plate Recognition","date":"2023-07-21","arxiv_id":"2307.11336","repositories_listed":1,"syntology":null},{"url":"/paper/ir-lpr-large-scale-of-iranian-license-plate","title":"IR-LPR: Large Scale of Iranian License Plate Recognition Dataset","date":"2022-09-10","arxiv_id":"2209.04680","repositories_listed":1,"syntology":null},{"url":"/paper/unified-chinese-license-plate-detection-and","title":"Unified Chinese License Plate Detection and Recognition with High Efficiency","date":"2022-05-07","arxiv_id":"2205.03582","repositories_listed":1,"syntology":null},{"url":"/paper/on-the-cross-dataset-generalization-for","title":"On the Cross-dataset Generalization in License Plate Recognition","date":"2022-01-02","arxiv_id":"2201.00267","repositories_listed":1,"syntology":null},{"url":"/paper/task-driven-semantic-coding-via-reinforcement","title":"Task-driven Semantic Coding via Reinforcement Learning","date":"2021-06-07","arxiv_id":"2106.03511","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_unverified":0,"n_pointer_only":0}},{"url":"/paper/iranis-a-large-scale-dataset-of-farsi-license","title":"Iranis: A Large-scale Dataset of Farsi License Plate Characters","date":"2021-01-01","arxiv_id":"2101.00295","repositories_listed":1,"syntology":null},{"url":"/paper/end-to-end-trainable-network-for-degraded","title":"End-to-end trainable network for degraded license plate detection via vehicle-plate relation mining","date":"2020-10-27","arxiv_id":"2010.14266","repositories_listed":1,"syntology":null},{"url":"/paper/towards-end-to-end-car-license-plate-location","title":"Towards End-to-end Car License Plate Location and Recognition in Unconstrained Scenarios","date":"2020-08-25","arxiv_id":"2008.10916","repositories_listed":1,"syntology":null},{"url":"/paper/vehicle-re-identification-exploring-feature","title":"Vehicle-Rear: A New Dataset to Explore Feature Fusion for Vehicle Identification Using Convolutional Neural Networks","date":"2019-11-13","arxiv_id":"1911.05541","repositories_listed":1,"syntology":null},{"url":"/paper/an-efficient-and-layout-independent-automatic","title":"An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector","date":"2019-09-04","arxiv_id":"1909.01754","repositories_listed":1,"syntology":null},{"url":"/paper/license-plate-detection-and-recognition-in","title":"License Plate Detection and Recognition in Unconstrained Scenarios","date":"2018-09-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/reading-car-license-plates-using-deep","title":"Reading Car License Plates Using Deep Convolutional Neural Networks and LSTMs","date":"2016-01-21","arxiv_id":"1601.05610","repositories_listed":1,"syntology":null}],"syntology_records":1,"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"}}