Generative data augmentation for industrial object classification on edge tensor processing units
An experimental study shows that a cross-class accuracy of 0.842 in mineral construction and demolition waste classification was achieved with generative data augmentation, with significant improvement compared to a CNN trained only with original data, confirming the feasibility of edge TPUs and the effectiveness of ge...