IMLP: Iranian Motorcycle License Plates

The database introduced includes 1089 different images of Iranian motorcycles, which in total contain 1191 images of Iranian motorcycle license plates. These images were captured and collected from the cities of Islamabad Gharb, Kermanshah, Karaj, and Tehran, and some of these images were also posted on the Instagram social network. Initially, the motorcycles were filmed, and then one or two frames were selected for the database. The images were randomly selected from over 50,000 frames. Additionally, these images were captured using different cameras (Samsung S23 Ultra, Xiaomi Note 10 5g, Xiaomi Note 11s, Samsung J6, and several other mobile phones, as well as images from social networks with different qualities), from different angles, at different distances, and under different lighting conditions.Furthermore, using deep learning networks YOLOv8, SSD, and Faster-RCNN, the motorcycle plates were identified in two stages and then recognized (OCR). The database contains two stages of information: Detect and OCR, with each folder containing train, test, and validation data. Each of these folders includes images and annotations for YOLOv8, SSD, and Faster-RCNN networks. The implementation files for YOLOv8, SSD, and Faster-RCNN networks are also included.