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The clusters of images shown in the video tutorial display objects like balloons, birds, and sharks, obtained from the ImageNet dataset. These clusters represent different object classes without requiring labels from the dataset. The paper discussed in the tutorial, "Learning to Classify Images Without Labels," outlines a three-step procedure involving self-supervised learning to obtain accurate image representations for classification. This approach allows for learning to classify images without the need for labeled data.