# License Plate Detection

A specialized license plate detection model fine-tuned from Gemma 3 4B, demonstrating visual-language models can achieve localization without object detection pre-training

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 license plate detection model fine-tuned based on the YOLOS-small architecture, trained on the Roboflow license plate recognition dataset with an average precision of 49.0