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Clusters of images are shown in the tutorial, each displaying similar objects like balloons, birds, and sharks. These clusters represent object classes within the ImageNet dataset. Surprisingly, these clusters were generated without using any image labels from the dataset. The video discusses a paper titled "Learning to Classify Images Without Labels" by Wasser et al., outlining a three-step procedure involving self-supervised learning to obtain effective image representations.