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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 on vehicles using image processing and object detection technology. This innovative solution leverages deep learning models to detect dents, scratches, and other forms of damage on car surfaces. It is particularly useful for insurance assessments, used car evaluations, and automotive maintenance.

Features

• Damage Identification: Accurately identifies various types of damage, such as dents, scratches, and rust spots. • Damage Location: Pinpoints the exact area of damage on the vehicle for clear documentation. • Damage Classification: Classifies the severity of damage to assist in cost estimation or repair planning. • Customizable Thresholds: Allows users to set sensitivity levels for damage detection based on specific needs. • User-Friendly Interface: Intuitive design for easy image uploads and result analysis. • Compatibility: Works with images captured from various devices, including smartphones and professional cameras.

How to use Car Damage Detection ?

  1. Upload an Image: Capture or select a clear photo of the vehicle's exterior.
  2. Analyze the Image: Use the tool to process the image and detect damage.
  3. Review Results: Examine the highlighted areas of damage and classified severity levels.
  4. Generate Reports: Export the findings for further analysis or documentation.
  5. Adjust Settings: Fine-tune detection settings if needed for accuracy.

Frequently Asked Questions

How accurate is Car Damage Detection?
The accuracy depends on the quality of the input image and lighting conditions. Clear, well-lit images yield the best results.

What types of damage can the tool detect?
It detects dents, scratches, rust spots, and other visible forms of external damage.

Can the tool be used for Any Vehicle?
Yes, it works for any type of vehicle, including cars, trucks, and motorcycles, as long as the image is clear.

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