# Traffic Monitoring

Russian license plate detection model based on the RT-DETR architecture, supporting classification and recognition of regular and police license plates

A fine-tuned printed license plate OCR model based on microsoft/trocr-base-printed, with a character error rate of 0.037 on the evaluation set

A vision model for recognizing vehicle license plates, capable of extracting plate numbers from images.

An example vision model for recognizing vehicle license plates, capable of extracting license plate numbers from images.

A license plate object detection model based on the YOLOv5m architecture, excelling in license plate detection tasks.

A lightweight license plate detection model based on YOLOv5s, trained on the keremberke/license-plate-object-detection dataset, achieving a validation set mAP@0.5 of 0.985.

Lightweight license plate detection model based on YOLOv5n, optimized for license plate recognition tasks

A small vision Transformer model based on the YOLOS architecture, fine-tuned specifically for license plate detection tasks