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The clusters of images show similar objects like balloons, birds, sharks, and fish without using labels from the ImageNet dataset. This method learns to classify images without labels, achieving impressive results in classifying object classes. The paper "Learning to classify images without labels" by Water, Guns, Becca, Simon, Van Daan, Hender, Stamatis, Georg, Ulis, Mark, Pro Simmons, and Luke explains a three-step procedure using self-supervised learning to obtain accurate image representations.
