Fashion-MNIST database of fashion articles

Dataset of 60,000 28x28 grayscale images of the 10 fashion article classes, along with a test set of 10,000 images. This dataset can be used as a drop-in replacement for MNIST. The class labels are encoded as integers from 0-9 which correspond to T-shirt/top, Trouser, Pullover, Dress, Coat, Sandal, Shirt,

dataset_fashion_mnist()

Value

Lists of training and test data: train$x, train$y, test$x, test$y, where x is an array of grayscale image data with shape (num_samples, 28, 28) and y is an array of article labels (integers in range 0-9) with shape (num_samples).

Details

Dataset of 60,000 28x28 grayscale images of 10 fashion categories, along with a test set of 10,000 images. This dataset can be used as a drop-in replacement for MNIST. The class labels are:

  • 0 - T-shirt/top

  • 1 - Trouser

  • 2 - Pullover

  • 3 - Dress

  • 4 - Coat

  • 5 - Sandal

  • 6 - Shirt

  • 7 - Sneaker

  • 8 - Bag

  • 9 - Ankle boot

See also

Other datasets: dataset_boston_housing, dataset_cifar100, dataset_cifar10, dataset_imdb, dataset_mnist, dataset_reuters