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The video tutorial discusses clusters of images showing the same object, such as balloons, birds, and sharks from the ImageNet dataset. These clusters represent object classes without using labels from the dataset. The paper being examined, "Learning to Classify Images Without Labels," outlines a three-step procedure which utilizes self-supervised learning to obtain good image representations. This method learns to classify images without using any labels from the dataset.