The study on surface defect detection of stamped parts based on improved deep learning

Robotic Process Automation for Smarter Devices in Manufacturing

Open Access

Table 3

Illumination variation test.

Lighting condition	Model	Precision	Recall	mAP50	mAP50-95
Normal lighting	YOLOv8 + FFA + Gold-YOLO	0.90	0.85	0.88	0.50
	Baseline model	0.82	0.75	0.80	0.45
Low light	YOLOv8 + FFA + Gold-YOLO	0.88	0.83	0.85	0.48
	Baseline model	0.79	0.72	0.76	0.43
Strong light	YOLOv8 + FFA + Gold-YOLO	0.89	0.84	0.86	0.49
	Baseline model	0.80	0.73	0.78	0.44

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