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This tutorial showcases clusters of images from the ImageNet dataset, each cluster representing the same object class such as balloons, birds, or fish. These clusters are obtained without using any labels from the dataset, highlighting the ability to classify images without labels. The paper discussed in the tutorial outlines a three-step procedure that utilizes self-supervised learning to obtain good image representations.