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Object Detection
Car Damage Detection

Car Damage Detection

Identify car damage in images

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What is Car Damage Detection ?

Car Damage Detection is an AI-powered tool designed to identify and analyze damage in images of vehicles. It leverages advanced object detection technology to pinpoint dents, scratches, and other forms of damage on cars. This tool is particularly useful for automotive professionals, insurance assessors, and car owners wanting to evaluate vehicle condition efficiently.

Features

• AI-Powered Analysis: Utilizes cutting-edge AI algorithms to detect damage with high precision.
• Multi-Damage Detection: Identifies multiple types of damage in a single image.
• High Accuracy: Delivers reliable results by analyzing minute details.
• User-Friendly Interface: Easy to use for both professionals and non-experts.
• Real-Time Processing: Provides quick analysis for instant insights.
• Customizable Reports: Generates detailed reports for further assessment or documentation.

How to use Car Damage Detection ?

  1. Upload an Image: Input a clear photo of the vehicle you want to analyze.
  2. Select Detection Type: Choose the type of damage you want to detect (e.g., dents, scratches, etc.).
  3. Run Analysis: Click the "Analyze" button to initiate the AI-powered scan.
  4. Review Results: View the highlighted areas where damage is detected.
  5. Export Report: Download or share the detailed report for further review.

Frequently Asked Questions

What types of damage can the tool detect?
The tool can detect a variety of damages, including dents, scratches, paint chips, and broken glass. It is designed to identify both minor and significant damage.

How accurate is the damage detection?
The accuracy depends on the quality of the input image. High-resolution photos with good lighting typically yield the best results.

Can I use this tool on any type of vehicle?
Yes, the tool is compatible with all types of vehicles, including cars, trucks, and motorcycles. It works as long as the vehicle is clearly visible in the image.

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