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# Omniglot

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

  Omniglot Dataset.

  Parameters:

    - root (string) – Root directory of dataset where directory `omniglot-py` exists.

    - background (bool, optional) – If True, creates dataset from the “background” set, otherwise creates from the “evaluation” set. This terminology is defined by the authors.

    - 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.

    - download (bool, optional) – If true, downloads the dataset zip files from the internet and puts it in root directory. If the zip files are already downloaded, they are not downloaded again.

  Special-members:

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

      index (int) – Index

    Returns:

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

    Return type:

      tuple

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