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()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).
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
Other datasets:
dataset_boston_housing(),
dataset_cifar100(),
dataset_cifar10(),
dataset_imdb(),
dataset_mnist(),
dataset_reuters()