Development of an automatic garment defect recognition system using a machine learning approach
An automated garment defect recognition system integrating a VGGNet-19 convolutional neural network for feature extraction with an artificial neural network (ANN) for multiclass classification is presented, establishing a foundation for real-time, automated quality control in resource-constrained apparel manufacturing...