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defect-detection-model
Ironman1612/defect-detection-model
defect-detection-model is a object detection model from Ironman1612. Use it when you need objects located in an image. The card lists the license as mit.
A YOLOv8-based deep learning model for real-time detection of 6 types of surface defects in industrial materials.
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Public
Updated Nov 1, 2025
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6.3 MB
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At a glance
- Task
- Object Detection
- License
- mit
- Access
- Public
- Created
- Nov 1, 2025
- Updated
- Nov 1, 2025
- SHA
- 0b1bfd7c
Base models
Model card
From the Hugging Face model README
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 |
- Task
- Object Detection
- License
- mit
- Created
- Nov 1, 2025
- Updated
- Nov 1, 2025