RoaaMaged/Egypt-Car-Plates-Detection

This project was made using YOLOv7 training model to detect Egyptian car plates # Egypt Car Plates Detection # Overview This repository contains a machine learning project aimed at detecting Egyptian car license plates using the YOLOv7 model. It is designed to demonstrate the application of object detection techniques to real-world scenarios, specifically in the automatic recognition of vehicle license plates in Egypt. # Features License Plate Detection: Utilizes the YOLOv7 model to accurately detect car plates in various settings and conditions. Data Processing: Includes scripts for processing images to prepare them for the detection model. Model Training: Provides details on how the YOLOv7 model is trained with a dataset of Egyptian car plates. Testing and Evaluation: Contains testing scripts to evaluate the model's performance and accuracy. # Technology Stack YOLOv7: A state-of-the-art model for real-time object detection. Python: For scripting and model development. OpenCV: Used for image processing tasks. Jupyter Notebook: For interactive development and testing.