car-damage Computer Vision Project

Here are a few use cases for this project:

1. Vehicle Insurance Claim Processing: Speed up and improve the accuracy of evaluating car insurance claims by analyzing car damage levels, specifically identifying paint-related damages such as faded paint, scratches, and paint peel-out.

2. Automotive Repair Services: Assist car repair shops in better estimating costs and time required for repairing paint damage by identifying paint-peel-out classes, allowing technicians to recommend appropriate paint services to clients.

3. Used Car Evaluation and Pricing: Provide accurate appraisal of vehicles in the used car market by assessing paint-related conditions like scratches, faded paint, and paint peel-out, helping sellers and buyers negotiate a fair price based on the vehicle's appearance.

4. Car Rental Agencies: Enhance car rental agencies' ability to track and document vehicle conditions, specifically paint damages, by automatically cataloging identified damages for proper assessment and follow-up with customers, reducing disputes over liability for paint damage.

5. Road Accident Analysis: Support law enforcement and accident analysts in improving accident documentation and understanding of involved vehicles' conditions, including semi-visible paint damages that can provide crucial information about incidents and their outcomes.