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Data · dataset · 2026

MNIST 手写数字识别基准数据集和光学网络训练代码

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The MNIST database (Modified National Institute of Standards and Technology database) is a large database of handwritten digits that is commonly used for training various image processing systems.

Description

It contains 60,000 training images and 10,000 testing images. Each image is a $28 \times 28$ pixel grayscale image of a handwritten digit from 0 to 9.

It is considered the "Hello World" of machine learning and is a standard benchmark for evaluating learning algorithms and neural network architectures.

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