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The clusters of images shown in the video tutorial are obtained from the ImageNet dataset and represent various object classes such as balloons, birds, and sharks. These clusters are created without using the labels in the dataset, showcasing the ability to classify images without labels. The researchers in the paper, "Learning to Classify Images Without Labels," outline a three-step procedure involving self-supervised learning to obtain quality image representations.
