SUN397 — Torchvision 0.22 documentation (original) (raw)
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>)[source]¶
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][source]¶
Parameters:
index (int) – Index
Returns:
Sample and meta data, optionally transformed by the respective transforms.
Return type:
(Any)