VR-YOLO, a YOLOv8 variant with SIoU loss, CBAM attention, and augmented training data, reports mAP 98.9% on the PKU PCB dataset and 94.7% on sheared/rotated test images, but the viewpoint evaluation is in-distribution with the training augmentation.
Chip surface character detection system based on machine vision,
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VR-YOLO: Enhancing PCB Defect Detection with Viewpoint Robustness Based on YOLO
VR-YOLO, a YOLOv8 variant with SIoU loss, CBAM attention, and augmented training data, reports mAP 98.9% on the PKU PCB dataset and 94.7% on sheared/rotated test images, but the viewpoint evaluation is in-distribution with the training augmentation.