The goal was to design, train, and evaluate an image classification method on CUB, CUB + Stanford Dogs and FoodX datasets. We conducted several experiments with traditional ConvNets (AlexNet, SqueezeNet, ResNet, DenseNet), MLP-Mixer, ConvNext and Swin Transformer
