Fashion-MNIST:A MNIST-like fashion product database. Benchmark

Zalando的文章图像的一个数据集包括一个训练集6万个例子和一个10,000个例子的测试集。 每个示例是一个28×28灰度图像，与10个类别的标签相关联。 时尚MNIST旨在作为用于基准机器学习算法的原始MNIST数据集的直接替代。

一个非常有趣的数据集，也是十分类问题，不过是时尚相关的。

https://github.com/zalandoresearch/fashion-mnist

A dataset of Zalando’s article images consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28×28 grayscale image, associated with a label from 10 classes. Fashion-MNIST is intended to serve as a direct drop-in replacement of the original MNIST dataset for benchmarking machine learning algorithms.

Here is an example how the data looks like (each class takes three-rows):