Comparing Object Detection Models for Electrical Substation Component Mapping
The research compared three object detection models—YOLOv8, YOLOv11, and RF-DETR—to automatically map key electrical substation parts in US images. The study found that YOLOv8 provided the best overall accuracy for detecting components like circuit breakers, suggesting it is the most reliable method tested for automated mapping.