Omniglot

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

Omniglot Dataset.

Parameters:

• root (str or pathlib.Path) – 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]

Parameters:

index (int) – Index

Returns:

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

Return type:

tuple