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Given a dataset of images of human eyes and no annotation, we can train a model that can classify images with as high accuracy as possible. If only we could annotate just a handful of samples and apply some techniques of semi-supervised learning to get high accuracy. This task is performed using Variational Autoencoders (VAE).