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Computer Science > Computer Vision and Pattern Recognition

arXiv:2209.04680 (cs)
[Submitted on 10 Sep 2022]

Title:IR-LPR: Large Scale of Iranian License Plate Recognition Dataset

Authors:Mahdi Rahmani, Melika Sabaghian, Seyyede Mahila Moghadami, Mohammad Mohsen Talaie, Mahdi Naghibi, Mohammad Ali Keyvanrad
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Abstract:Object detection has always been practical. There are so many things in our world that recognizing them can not only increase our automatic knowledge of the surroundings, but can also be lucrative for those interested in starting a new business. One of these attractive objects is the license plate (LP). In addition to the security uses that license plate detection can have, it can also be used to create creative businesses. With the development of object detection methods based on deep learning models, an appropriate and comprehensive dataset becomes doubly important. But due to the frequent commercial use of license plate datasets, there are limited datasets not only in Iran but also in the world. The largest Iranian dataset for detection license plates has 1,466 images. Also, the largest Iranian dataset for recognizing the characters of a license plate has 5,000 images. We have prepared a complete dataset including 20,967 car images along with all the detection annotation of the whole license plate and its characters, which can be useful for various purposes. Also, the total number of license plate images for character recognition application is 27,745 images.
Comments: This is the final draft for the paper submitted to the 12th International Conference on Computer and Knowledge Engineering (ICCKE 2022), Ferdowsi University of Mashhad, Iran
Subjects: Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:2209.04680 [cs.CV]
  (or arXiv:2209.04680v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2209.04680

Submission history

From: Mohammad Ali Keyvanrad [view email]
[v1] Sat, 10 Sep 2022 14:41:59 UTC (1,585 KB)
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