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SEMEION

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

SEMEION Dataset.

Parameters:
  • root (str or pathlib.Path) – Root directory of dataset where directory semeion.py exists.

  • 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 from the internet and puts it in root directory. If dataset is already downloaded, it is 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 class.

Return type:

tuple

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