... the high-quality standards in Taiwan's fastener industry. Design/methodology/approach The study used the YOLOv5 model to detect and classify internal thread defects, focusing on the impact of annotation methods, data augmentation and transfer learning. It compared three YOLOv5 models (YOLOv5s, YOLOv5m...

... and potential overfitting. To address these issues, techniques such as data augmentation are employed. This study aims to develop a data augmentation methodology applicable in dynamic, data-scarce production environments, enhancing the robustness of regressor predictions. Design/methodology/approach...

... usually rely heavily on a large set of labeled images to ensure the accuracy and generalization ability of the predictive models. Unfortunately, in many fields, acquiring image data is expensive and inconvenient. This study aims to propose a data augmentation technique to enhance the performance...