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A newer version of the Gradio SDK is available: 5.45.0

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metadata
license: apache-2.0
title: YOLO Car Detection
sdk: gradio
emoji: πŸš€
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:
pip install -r requirements.txt