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The clusters of images shown in the video tutorial all display the same object, such as balloons, birds, and fish, from the ImageNet dataset. These clusters represent object classes without using any labels from the dataset. The paper discussed in the tutorial, titled "Learning to Classify Images without Labels" by Water, Guns, Becca Simon, Van Daan, Hender, Stamatis, Georg Ulis, Mark Pro Simmons, and Luke Fungal, outlines a three-step procedure that utilizes self-supervised learning to obtain good image representations without labels.
