The Fashion MNIST (Fashion Modified National Institute of Standards and Technology database) datasetis comprised of 60,000 samples of the training set and 10,000 samples of the test set. Each sample is a 28x28 grayscale picture with a label from one of ten classes. Fashion-MNIST is intended to be a direct drop-in replacement for the original MNIST dataset for evaluating machine learning algorithms. The image size and structure of the training and testing splits are the same.
Download Fashion MNIST Dataset in Python
Instead of downloading the Fashion-MNIST dataset in Python, you can effortlessly load it in Python via our open-source package Hub with just one line of code.
Load Fashion MNIST Dataset Training Subset in Python