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license: apache-2.0 | |
title: YOLO Car Detection | |
sdk: gradio | |
emoji: π | |
colorFrom: yellow | |
colorTo: yellow | |
short_description: sdasd | |
app_file: main.py | |
pinned: false | |
sdk_version: 5.44.0 | |
# Car Damage Detection System with YOLOv11 | |
A state-of-the-art vehicle damage detection and comparison system using YOLOv11, designed to analyze vehicle conditions before and after delivery. | |
## Features | |
- **YOLOv11 Detection**: YOLO model for accurate damage detection | |
- **Smart Comparison**: IoU-based matching using Hungarian algorithm | |
- **6-Position Analysis**: Comprehensive vehicle inspection from multiple angles | |
- **Case Classification**: Automatic categorization of damage scenarios | |
- **Visual Reports**: Generated comparison images with damage highlights | |
- **REST API**: Easy integration with existing systems | |
## Use Cases | |
The system identifies three main scenarios: | |
1. **Case 1 - Existing Damage**: Damages present before and after delivery β Delivery completed | |
2. **Case 2 - New Damage**: New damages detected after delivery β Issue during delivery | |
3. **Case 3 - No Damage**: No damages detected β Successful delivery | |
## Quick Start | |
### Installation | |
1. Clone the repository | |
2. Install dependencies: | |
```bash | |
pip install -r requirements.txt |