MCD-RTDETR: a multi-category defect detection algorithm for steel surface

Key Points

• Defect detection accuracy significantly improved with the multi-category approach, enabling better classification.
• Achieved an accuracy rate of approximately 95% during testing across various steel surface images.
• This algorithm leverages advanced computer vision techniques for effective defect detection.
• Improvements could lead to enhanced manufacturing quality and reduced production costs.