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The YouTube video tutorial discusses clusters of images from the ImageNet dataset showing objects like balloons, birds, and sharks. These clusters represent object classes without using any labels. The paper "Learning to Classify Images Without Labels" by Water, Guns Becca, Simon Van Daan, Hender Stung Stamatis, Georg Ulis, Mark Pro Simmons, and Luke Fungal introduces a three-step procedure using self-supervised learning to obtain good image representations. The method learns to classify images without labels.