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The clusters of images show various objects like balloons, birds, and fish. These clusters represent different object classes without using labels from the ImageNet dataset. The method outlined in the paper focuses on learning to classify images without the use of labels. The three-step procedure involves self-supervised learning to obtain good image representations.