The dataset comprises 720 images each depicting four distinct defect types in colored fabrics: Oil, Hole, Cutting, and Crack, totaling approximately 180 images per type. This dataset holds significant
In order to solve the problems of low accuracy, low precision, and inability to automate in the production process of new OLED display panels, we hope to develop a small sample-based deep learning OLE
The foundation of detection relies on the surface micro-defect images of KDP, and the effectiveness of the detection model depends on the quality of these images. Higher quality images can pinpoint th
Timber knot detection is essential for automated grading and quality control in the wood processing industry. Knots, which arise at the intersection of branches and the tree trunk, are among the most
