LSUN

class torchvision.datasets.LSUN(root: Union[str, Path], classes: Union[str, list[str]] = 'train', transform: Optional[Callable] = None, target_transform: Optional[Callable] = None)

LSUN dataset.

You will need to install the lmdb package to use this dataset: run pip install lmdb

Parameters:

• root (str or pathlib.Path) – Root directory for the database files.

• classes (string or list) – One of {‘train’, ‘val’, ‘test’} or a list of categories to load. e,g. [‘bedroom_train’, ‘church_outdoor_train’].

• 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:

Tuple (image, target) where target is the index of the target category.

Return type:

tuple