MNIST

The MNIST database of handwritten digits.

The dataset consists of 70,000 28 x 28 grayscale images in 10 classes. There are 60,000 training images and 10,000 test images.

Details

• Dataset name: mnist

• Dataset source: http://yann.lecun.com/exdb/mnist

• Dataset license: CC-BY-SA-3.0

• Dataset size: 21.00 MB

• Tags: image, classification

• Supported splits: train, test

• ZooDataset classes:

  • MNISTDataset (TF backend)

  • MNISTDataset (Torch backend)

Note

You must have the Torch or TensorFlow backend(s) installed to load this dataset.

Example usage

PythonCLI

import fiftyone as fo
import fiftyone.zoo as foz

dataset = foz.load_zoo_dataset("mnist", split="test")

session = fo.launch_app(dataset)