CONVOLUTIONAL NEURAL NETWORK WITH AUGMENTATION FEATURES

A method, computer program product, and a system where a processor(s) obtains an original image. The processor(s) applies a number of filters to the original image to generate a group of filtered images. The processor(s) stacks the original image with the filtered images in a three dimensional array; each layer of the stack comprises a separate filtered image or the original image and the three dimensional array comprises an augmented version of the original image. The processor(s) facilitates classification of the original image by a deep convolution neural network, where the facilitating comprises providing the augmented version of the original image to the deep convolution neural network, and where the deep convolution neural network classifies the original image based on applying a classification model to the augmented version of the original image The processor(s) receives the classification of the original image from the deep convolution neural network.