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The images in the video show clusters of different objects such as balloons, birds, and fish, obtained from the ImageNet dataset without labels. The clustering accurately groups images based on object classes without using the dataset's labels. The paper discussed in the video focuses on learning to classify images without labels using a three-step procedure, including self-supervised learning to obtain good representations.
