Paper

Automated Car Damage Assessment Using Computer Vision: Insurance Company Use Case

This study evaluates computer-vision models for automatically identifying vehicle damage from photographs in an insurance setting. The researchers compare ensembles based on YOLOv5 and YOLOv8, focusing on detection accuracy, processing speed, and reducing false positives that would otherwise require review by professional appraisers.