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The clusters of images shown in the tutorial are all displaying the same object classes without the use of labels from the ImageNet dataset. The method discussed in the paper "Learning to classify images without labels" by Water et al. involves a three-step procedure that utilizes self-supervised learning to obtain accurate image representations. The astonishing aspect of this method is its ability to classify images without the need for labels, showcasing the effectiveness of the approach.
