EMNIST — Torchvision 0.22 documentation (original) (raw)

class torchvision.datasets.EMNIST(root: Union[str, Path], split: str, **kwargs: Any)[source]¶

EMNIST Dataset.

Parameters:

• root (str or pathlib.Path) – Root directory of dataset where EMNIST/raw/train-images-idx3-ubyteand EMNIST/raw/t10k-images-idx3-ubyte exist.
• split (string) – The dataset has 6 different splits: byclass, bymerge,balanced, letters, digits and mnist. This argument specifies which one to use.
• train (bool, optional) – If True, creates dataset from training.pt, otherwise from test.pt.
• 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 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.

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