Synthetic Ukrainian License Plate Images

该数据集是由扩散模型生成的包含10,000张车牌图像的合成数据集，旨在提升车牌识别任务的效果。该数据集的创建目的是为了分析合成数据在车牌识别（LPR）任务中的有效性，其中包含了1,000张经过评估的合成图像，以确定其成功与失败率。整个数据集规模为10,000张图像，专注于车牌识别（Lpr）这一特定任务。

This is a synthetic dataset containing 10,000 license plate images generated by diffusion models, designed to improve the performance of license plate recognition (LPR) tasks. The core purpose of developing this dataset is to analyze the effectiveness of synthetic data for license plate recognition tasks; it includes 1,000 evaluated synthetic images to determine their success and failure rates. With a total scale of 10,000 images, the dataset is specifically focused on the license plate recognition (LPR) task.