Abstract
This research article focuses on the critical task of fabric defect detection in textile corporations. Fabric defects adversely affect quality and profitability, making their identification crucial. Traditional human visual inspection is inefficient and impractical for mass production due to low detection rates and labor-intensive processes. To overcome these challenges, we propose an alternative approach to enhance efficiency and accuracy in fabric defect detection, ensuring the financial success of textile manufacturers in the face of increasing production complexity.
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