CIFAR-10 is a well-known dataset used in the field of machine learning and deep learning, consisting of 60,000 32x32 color images divided into 10 different classes. This dataset serves as a benchmark for evaluating various algorithms and models, especially in the context of image classification and convolutional neural networks.
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