Foxy-Roxy/Wheel_Defect_Detection

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🛞 Tire Defect Detection using YOLOv8 A real-time deep learning project to detect and classify tire defects such as bulges, cracks, and flat spots using the YOLOv8 object detection model.

🔍 Objective The goal of this project is to overcome the limitations of traditional sensor-based tire defect detection systems (like in the research paper) by using a camera-based, AI-powered solution that:

Works in real-time Requires no specialized hardware Supports multiple defect types 🚀 Features Detects 4 classes: Bulge, Cracks, Flat Spots, Non-defective Trained using YOLOv8n (Ultralytics) Works with static images and can be extended to video/webcam Real-time feedback with bounding boxes Easy deployment and portable 📂 Dataset Labeled dataset from Roboflow in YOLO format Classes: ['Bulge', 'Cracks', 'Flat spots', 'Non-defective']