HIGHLIGHTS
- who: Guijuan Lin and colleagues from the School of Mechanical and Automotive Engineering, Xiamen University of Technology, Xiamen, China have published the research work: An Efficient and Intelligent Detection Method for Fabric Defects based on Improved YOLOv5, in the Journal: Sensors 2023, 97 of /2023/
- what: The authors propose an efficient and intelligent detection method for fabric defects. The model is is used forfor multidefect detection, and the target defect size onon the fabric is not the same. The experiments show that the improved algorithm can achieve high-precision and highdetection. To verify the improvement . . .
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