Automated Vehicle Damage Inspection: A Comprehensive Evaluation of Deep Learning Models and Real-World Applicability

Faster R-CNN performed best under challenging conditions, while YOLO was more efficient in real-time applications due to its faster processing time and explainability, and the study’s findings have significant implications for industries such as insurance and fleet management.