论文标题
IR-LPR:大规模的伊朗车牌识别数据集
IR-LPR: Large Scale of Iranian License Plate Recognition Dataset
论文作者
论文摘要
对象检测一直是实用的。我们世界上有很多事情,认识到它们不仅可以增加我们对周围环境的自动知识,而且对于那些有兴趣开展新业务的人来说也可以有利可图。这些有吸引力的物体之一是车牌(LP)。除了可以使用车牌检测的安全用途外,它还可以用于创建创意业务。随着基于深度学习模型的对象检测方法的开发,适当且全面的数据集变得双重重要。但是,由于频繁使用车牌数据集的商业使用,不仅在伊朗而且在世界范围内也有限。用于检测车牌的最大伊朗数据集具有1,466张图像。此外,识别车牌角色的最大伊朗数据集具有5,000张图像。我们已经准备了一个完整的数据集,其中包括20,967辆汽车图像,以及对整个车牌及其字符的所有检测注释,这对于各种目的都是有用的。此外,字符识别应用程序的车牌图像总数为27,745张图像。
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.