Fashion MNIST

Fashion-MNIST is 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 28x28 grayscale image, associated with a label from 10 classes. Zalando intends Fashion-MNIST to serve as a direct drop-in replacement for the original MNIST dataset for benchmarking machine learning algorithms. It shares the same image size and structure of training and testing splits.

搜集汇总

背景与挑战

背景概述

Fashion MNIST是Zalando提供的服装图像数据集，包含60,000张训练图像和10,000张测试图像，每张均为28x28的灰度图，对应10个类别标签。该数据集旨在替代原始MNIST数据集，用于机器学习算法的基准测试，并保持相同的图像尺寸和训练测试分割结构。