Lightweight Small-Object surface defect detection method based on improved YOLOv11

Key Points

• The improved YOLOv11 method demonstrates remarkable accuracy in detecting surface defects.
• In tests, the detection performance showed over 90% accuracy in identifying defects on small objects.
• Analysis used enhanced algorithms to improve traditional object detection techniques for small items.
• This work highlights the need for robust algorithms in improving inspection processes for quality control.