Fashion MNIST is a dataset consisting of 60,000 training images and 10,000 test images, each with a resolution of 28x28 pixels. It serves as a drop-in replacement for the traditional MNIST dataset and is widely used for benchmarking machine learning algorithms.
☆15Aug 30, 2024Updated last year
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