# Fashion MNIST The Fashion-MNIST database of Zalando’s fashion article images. 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: `fashion-mnist` - Dataset source: [https://github.com/zalandoresearch/fashion-mnist](https://github.com/zalandoresearch/fashion-mnist) - Dataset license: MIT - Dataset size: 36.42 MB - Tags: `image, classification` - Supported splits: `train, test` - ZooDataset classes: - [`FashionMNISTDataset`](../../api/fiftyone.zoo.datasets.tf.md#fiftyone.zoo.datasets.tf.FashionMNISTDataset) (TF backend) - [`FashionMNISTDataset`](../../api/fiftyone.zoo.datasets.torch.md#fiftyone.zoo.datasets.torch.FashionMNISTDataset) (Torch backend) #### NOTE You must have the [Torch or TensorFlow backend(s)](../api.md#dataset-zoo-ml-backend) installed to load this dataset. **Example usage** Python CLI ```python import fiftyone as fo import fiftyone.zoo as foz dataset = foz.load_zoo_dataset("fashion-mnist", split="test") session = fo.launch_app(dataset) ``` ```shell fiftyone zoo datasets load fashion-mnist --split test fiftyone app launch fashion-mnist-test ```