TensorFlow 1 version | View source on GitHub |
Loads the Fashion-MNIST dataset.
tf.keras.datasets.fashion_mnist.load_data()
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.