In the pursuit of advancing the state-of-the-art (SOTA) in road safety,
traffic monitoring, surveillance, and logistics automation, we introduce the
Global License Plate Dataset (GLPD). The dataset consists of over 5 million
images, including diverse samples captured from 74 countries with meticulous
annotations, including license plate characters, license plate segmentation
masks, license plate corner vertices, as well as vehicle make, colour, and
model. We also include annotated data on more classes, such as pedestrians,
vehicles, roads, etc. We include a statistical analysis of the dataset, and
provide baseline efficient and accurate models. The GLPD aims to be the primary
benchmark dataset for model development and finetuning for license plate
recognition.

为了推动道路安全、交通监控、监视和物流自动化的最新技术，我们引入了全球车牌数据集（GLPD）。该数据集由超过 500 万张图像组成，包括来自 74 个国家的多样化样本，并具有精细的注释，包括车牌字符、车牌分割掩码、车牌角点以及车辆的制造商、颜色和型号。此外，我们还提供了更多类别的标注数据，如行人、车辆、道路等。我们还包括了数据集的统计分析，并提供了高效准确的基准模型。GLPD 旨在成为车牌识别模型开发和微调的主要基准数据集。