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