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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)[source]

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 a 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][source]
Parameters:

index (int) – Index

Returns:

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

Return type:

tuple

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