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This video tutorial showcases clusters of images from the ImageNet dataset, highlighting similarities in objects like balloons, birds, and sharks. These clusters represent object classes without using labels from the dataset. The paper discussed is about learning to classify images without labels, using a three-step procedure including self-supervised learning to obtain good representations.