The Challenge
In automotive inspection, valuation, and listing services, there’s a growing demand to automatically classify interior vs. exterior images and extract recognizable car attributes (body style, color, seat materials, etc.) without human labor.
Our AI Solution
BAP developed a scalable and highly accurate AI system that:
- Is trained on a massive dataset of over 8 million car images
- Uses CNN-based models to distinguish between interior and exterior photos
- Automatically labels key car attributes such as body type, color, interior features
Results & Impact
- Achieves over 90% precision and recall
- Supports fast, automated image processing for inspection or listing
- Easily integrated into valuation systems, marketplaces, or insurance platforms
Use Cases
- Car marketplaces needing automated tagging for user-uploaded photos
- Inspection agencies seeking fast car profiling
- Insurance firms assessing vehicle details from image-based claims
