Vehicle Damage Detection with Precision Polygon Annotations

Client's Challenge & Our Solution

A top-tier automotive company aimed to enhance its visual inspection AI model for accurate vehicle damage assessment. With 10,000 high-resolution images showcasing various damages, the client needed precise polygon annotations to delineate and categorize specific damage types. The task required exceptional accuracy and industry-specific expertise to capture intricate damage patterns, such as Scratches, Dents, Paint Chips, Broken Glass, and Bent Panels.

FutureBeeAI leveraged its proprietary annotation platform and domain expertise to deliver high-quality annotations. Our process ensured every image was labeled with meticulous attention to detail, enabling the AI model to learn and replicate real-world inspection scenarios.

Outcome & Features:

Delivered 10,000 professionally annotated images, meeting the client’s rigorous quality and accuracy benchmarks.

Maintained over 98% annotation precision through multi-layered quality checks over 70k annotations.

With a team of 30 annotators, we successfully completed the project within 6 weeks.