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The clusters of images shown in the tutorial include balloons, birds, sharks, and other fish from the ImageNet dataset. These clusters represent object classes without the need for labeled data, as the method learns to classify images without labels. The paper "Learning to Classify Images Without Labels" by Water, Guns, Becca, Simon Van Daan, Hender, Stamatis, Georg, Mark Simmons, and Luke Fungal, outlines a three-step procedure that involves self-supervised learning to obtain good image representations.
