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This tutorial showcases clusters of images showing the same object, such as balloons, birds, and fish, from the ImageNet dataset. These clusters represent object classes without the need for image labels. The authors of the paper "Learning to Classify Images Without Labels" propose a three-step procedure using self-supervised learning to obtain accurate image representations.