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tf.keras.datasets.fashion_mnist.load_data

TensorFlow 1 version View source on GitHub

Loads the Fashion-MNIST dataset.

tf.keras.datasets.fashion_mnist.load_data()

Used in the notebooks

Used in the guide

This is a 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:

Label Description
0 T-shirt/top
1 Trouser
2 Pullover
3 Dress
4 Coat
5 Sandal
6 Shirt
7 Sneaker
8 Bag
9 Ankle boot

Returns:

Tuple of Numpy arrays: (x_train, y_train), (x_test, y_test).

x_train, x_test: uint8 arrays of grayscale image data with shape (num_samples, 28, 28).

y_train, y_test: uint8 arrays of labels (integers in range 0-9) with shape (num_samples,).

License:

The copyright for Fashion-MNIST is held by Zalando SE. Fashion-MNIST is licensed under the MIT license.