UniDataPro/synthetic-usa-driver-license

该数据集包含5,000多张打印的合成美国驾驶执照图片，旨在用于训练机器学习模型进行个人识别信息（PII）提取。这些图片特别设计，包含来自美国不同州的驾驶执照，用于数据提取和身份验证任务。研究人员和开发者可以利用这个数据集提高他们在光学字符识别（OCR）系统和信息提取技术方面的理解和能力，特别是在机动车文档方面。此外，该数据集可用于探索数据提取技术和识别算法，以改善年龄验证流程和车辆注册系统。

The dataset comprises over 5,000 photos of printed synthetic U.S. driver license images designed for training ML models in PII extraction. These images are specifically engineered to include driver licenses from various U.S. states, tailored for data extraction and identification verification tasks. Researchers and developers can use this dataset to enhance their understanding and capabilities in OCR systems and information extraction technologies for motor vehicle documentation. Furthermore, the dataset can be employed to explore data extraction technologies and recognition algorithms to improve age verification processes and vehicle registration systems.