Table of Contents
Shortcuts

# FashionMNIST

class torchvision.datasets.FashionMNIST(root: str, train: bool = True, transform: Optional[Callable] = None, target_transform: Optional[Callable] = None, download: bool = False)

  Fashion-MNIST Dataset.

  Parameters:

    - root (string) – Root directory of dataset where `FashionMNIST/raw/train-images-idx3-ubyte` and `FashionMNIST/raw/t10k-images-idx3-ubyte` exist.

    - train (bool, optional) – If True, creates dataset from `train-images-idx3-ubyte`, otherwise from `t10k-images-idx3-ubyte`.

    - download (bool, optional) – If True, downloads the dataset from the internet and puts it in root directory. If dataset is already downloaded, it is not downloaded again.

    - transform (callable, optional) – A function/transform that takes in an PIL image and returns a transformed version. E.g, `transforms.RandomCrop`

    - target_transform (callable, optional) – A function/transform that takes in the target and transforms it.

  Special-members:

  __getitem__(index: int) → Tuple[Any, Any]
    Parameters:

      index (int) – Index

    Returns:

      (image, target) where target is index of the target class.

    Return type:

      tuple

## Docs

Access comprehensive developer documentation for PyTorch

View Docs

## Tutorials

Get in-depth tutorials for beginners and advanced developers

View Tutorials

## Resources

Find development resources and get your questions answered

View Resources

To analyze traffic and optimize your experience, we serve cookies on this site. By clicking or navigating, you agree to allow our usage of cookies. As the current maintainers of this site, Facebook’s Cookies Policy applies. Learn more, including about available controls: Cookies Policy.