Deep learning techniques for image recognition of counterfeited luxury handbags materials
Possarun Apipawinwongsa, Yachai Limpiyakorn · Fourteenth International Conference on Digital Image Processing (ICDIP 2022) · 2022
Due to the fact that counterfeit in second-handed goods terribly affects trading in markets of second-handed luxury bags, users in this research thus present studies of methods to classify genuineness of ‘Gucci GG Canvas’ with the pretrained model from Model VGG16 and with DenseNet121 to design deep Convolutional Neural Networks (CNN) model for binary classification. The CNN together with DenseNet121 model comprises accuracy at 95%, which is more than the 2 prior models, i.e., CNN from scratch and CNN together with VGG16.