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Ahmed-Khaled2/Automatic-License-Plate-Blurring-Egypt

Domaine:

digital infrastructure

Type de record:

softwaremodel
Créateur:
Ahm
Hôte:
Automatic License Plate Blurring System using YOLOv11 — detects license plates in images & videos and applies automated blurring for privacy protection. Includes training, evaluation, and inference pipeline. # 🚗🔒 Automatic License Plate Blurring System Note: 📖 Please read the Documentation for more details. This project is an **Automatic License Plate Blurring System** built using **YOLO object detection models**. The system detects license plates in both **images** and **videos**, then applies Gaussian blurring filter for privacy protection. --- ## 📂 Dataset & Format - **Source:** Egyptian Cars Plates (Kaggle) - 2,085 labelled images of Egyptian plates - **Format:** `.csv` --- ## 📌 Features - 🔍 **License Plate Detection** using YOLO - 📊 **Model Performance Comparison** across different YOLO variants & training epochs - 🏆 Selected the **best performing model** based on **Precision / Recall / mAP** metrics - 🎥 **Real-world Application** on both images and videos - 🔒 Automated **privacy preservation** by blurring detected plates --- ## 🧠 Model Training 1. Trained **YOLOv8n**, **YOLOv10n**, and **YOLOv11n** models with varying epochs (**3**, **5**, **10**) 2. Evaluated performance using: - ✅ Precision - ✅ Recall - ✅ mAP (Mean Average Precision) - ✅ Val_box_loss, Val_cls_loss, Val_cls_loss, 3. Selected the best-performing model (**YOLOv11n**) and trained it to **50 epochs** 4. Used the final model on different **images & videos** --- ## 📊 Results --- ## 🖼️ Sample Results ---