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This video tutorial showcases clusters of images from the ImageNet dataset, depicting objects such as balloons, birds, sharks, frogs, and people catching fish. These clusters represent object classes and have been obtained without using labels from the dataset. The focus is on a paper titled "Learning to Classify Images Without Labels" by Water From Guns, Becca Simon, Van Daan Hender, Stamatis Georgulis, Mark Pro Simmons, and Luke Fungal. The method described in the paper involves a three-step procedure using self-supervised learning to obtain good image representations for classification without labels.