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The clusters shown in the images display objects such as balloons, birds, sharks, and fish from the ImageNet dataset. These clusters represent object classes without the need for image labels. The paper discusses a three-step procedure for learning to classify images without labels, using self-supervised learning to obtain good image representations.
