Silvano Gilles Velleneuve Trindade, Silva Ivanovitch, Ribeiro Vinícius Campos Tinoco, Greati Vitor Rodrigues, Bezerra Aguinaldo, Endo Patrícia Takako, Lynn Theo
Universidade Federal do Rio Grande do Norte (UFRN), Rio Grande do Norte, Brazil.
Universidade de Pernambuco (UPE), Pernambuco, Brazil.
Data Brief. 2020 Dec 5;33:106554. doi: 10.1016/j.dib.2020.106554. eCollection 2020 Dec.
Mercosur (a.k.a. Mercosul) is a trade bloc comprising five South American countries. In 2018, a unified Mercosur license plate model was rolled out. Access to large volumes of ground truth Mercosur license plates with sufficient presentation variety is a significant challenge for training supervised models for license plate detection (LPD) in automatic license plate recognition (ALPR) systems. To address this problem, a Mercosur license plate generator was developed to generate artificial license plate images meeting the new standard with sufficient variety for ALPR training purposes. This includes images with variation due to occlusions and environmental conditions. An embedded system was developed for detecting legacy license plates in images of real scenarios and overwriting these with artificially generated Mercosur license plates. This data set comprises 3,829 images of vehicles with synthetic license plates that meet the new Mercosur standard in real scenarios, and equivalent number of text files containing label information for the images, all organized in a CSV file with compiled image file paths and associated labels.
南方共同市场（又称南锥体共同市场）是一个由五个南美国家组成的贸易集团。2018年，推出了统一的南方共同市场车牌模型。对于在自动车牌识别（ALPR）系统中训练用于车牌检测（LPD）的监督模型而言，获取大量具有足够呈现多样性的真实南方共同市场车牌是一项重大挑战。为解决这一问题，开发了一个南方共同市场车牌生成器，以生成符合新标准且具有足够多样性的人工车牌图像，用于ALPR训练目的。这包括因遮挡和环境条件而产生变化的图像。开发了一个嵌入式系统，用于检测真实场景图像中的旧车牌，并用人工生成的南方共同市场车牌覆盖这些车牌。该数据集包含3829张在真实场景中带有符合南方共同市场新标准的合成车牌的车辆图像，以及数量相等的包含图像标签信息的文本文件，所有这些都组织在一个CSV文件中，其中包含编译后的图像文件路径和相关标签。
