SUN397

class torchvision.datasets.SUN397(root: ~typing.Union[str, ~pathlib.Path], transform: ~typing.Optional[~typing.Callable] = None, target_transform: ~typing.Optional[~typing.Callable] = None, download: bool = False, loader: ~typing.Callable[[~typing.Union[str, ~pathlib.Path]], ~typing.Any] = <function default_loader>)

The SUN397 Data Set.

The SUN397 or Scene UNderstanding (SUN) is a dataset for scene recognition consisting of 397 categories with 108’754 images.

Parameters:

• root (str or pathlib.Path) – Root directory of the dataset.

• transform (callable, optional) – A function/transform that takes in a PIL image or torch.Tensor, depends on the given loader, 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.

• loader (callable, optional) – A function to load an image given its path. By default, it uses PIL as its image loader, but users could also pass in torchvision.io.decode_image for decoding image data into tensors directly.

Special-members:

__getitem__(idx: int) → Tuple[Any, Any]

Parameters:

index (int) – Index

Returns:

Sample and meta data, optionally transformed by the respective transforms.

Return type:

(Any)