{"title":"PGTLP: A Dataset for Tunisian License Plate Detection and Recognition","authors":"Amir Ismail, Maroua Mehri, A. Sahbani, N. Amara","doi":"10.1109/SSD52085.2021.9429447","DOIUrl":null,"url":null,"abstract":"The whole point throughout this work is a publicly available and annotated images dataset for vehicle license plate (LP) detection and recognition. This contribution is driving by the fact that no Tunisian LP dataset has been provided up to this point in time. Pearl Guard Tunisian LP (PGTLP) dataset is fully annotated database that contains presently up to 3, 000 images captured by high definition quality camera mounted on a security mobile robot, called Pearl Guard and made accessible to the Academia. For benchmarking and ranking supply, we propose a unified, real-time (LP) detection module based on YOLOv4-tiny detector. We also provide baseline results for vehicle LP detection using the PGTLP dataset.","PeriodicalId":6799,"journal":{"name":"2021 18th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"22 1","pages":"661-666"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 18th International Multi-Conference on Systems, Signals & Devices (SSD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSD52085.2021.9429447","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The whole point throughout this work is a publicly available and annotated images dataset for vehicle license plate (LP) detection and recognition. This contribution is driving by the fact that no Tunisian LP dataset has been provided up to this point in time. Pearl Guard Tunisian LP (PGTLP) dataset is fully annotated database that contains presently up to 3, 000 images captured by high definition quality camera mounted on a security mobile robot, called Pearl Guard and made accessible to the Academia. For benchmarking and ranking supply, we propose a unified, real-time (LP) detection module based on YOLOv4-tiny detector. We also provide baseline results for vehicle LP detection using the PGTLP dataset.
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