"Chenille Yarn Defect Detection Dataset"
Abstract
"Chenille yarn is prone to defects such as knotting, thinness, long segment lack, short segment lack and yarn irregularity during the spinning process due to factors like production techniques and mechanical wear, which severely affect subsequent weaving efficiency and final product quality. "
Fields of Study & Subjects
Industrial Vision Systems and Defect Detection
Textile materials and evaluations
Non-Destructive Testing Techniques
Publication details
- Journal / source
- IEEE DataPort
- Publication date
- 5 February 2026
- Document type
- Dataset