A Comparative Study of License Plate Recognition (LPR) Datasets and Benchmarks

License Plate Recognition (LPR) systems are vital components of modern intelligent transportation systems. Their performance heavily depends on the availability of high-quality datasets and reliable benchmarking techniques. This paper provides a comparative analysis of widely used LPR datasets and benchmarks, highlighting their unique characteristics, use cases, and limitations. The study aims to guide researchers in selecting appropriate datasets for training and evaluating LPR models.