Create README.md

README.md

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+---
+license: mit
+metrics:
+- precision
+- recall
+base_model:
+- Ultralytics/YOLOv8
+pipeline_tag: object-detection
+tags:
+- defect-detection
+- industrial, quality-control, yolov8
+---
+# Industrial Surface Defect Detection Model (NEU-DET)
+
+A YOLOv8-based deep learning model for real-time detection of 6 types of surface defects in industrial materials.
+
+## 📋 Model Overview
+
+**Architecture:** YOLOv8  
+**Dataset:** NEU-DET (1,800 grayscale images)  
+**Task:** Object Detection (Defect Classification)  
+**Framework:** Ultralytics  
+**Input:** Images (JPEG/PNG)  
+**Output:** Bounding boxes + Confidence scores
+
+## 🔍 Supported Defect Classes
+
+| Defect Type | Description |
+|------------|-------------|
+| **Crazing** | Fine surface cracks forming network patterns |
+| **Inclusion** | Foreign material embedded in surface |
+| **Patches** | Surface irregularities and discoloration |
+| **Pitted Surface** | Pitting and corrosion damage |
+| **Rolled-in Scale** | Scale/oxide layers rolled into material |
+| **Scratches** | Surface abrasions and scratch marks |
+
+