STL10 — Torchvision 0.22 documentation (original) (raw)

class torchvision.datasets.STL10(root: Union[str, Path], split: str = 'train', folds: Optional[int] = None, transform: Optional[Callable] = None, target_transform: Optional[Callable] = None, download: bool = False)[source]¶

STL10 Dataset.

Parameters:

• root (str or pathlib.Path) – Root directory of dataset where directorystl10_binary exists.
• split (string) – One of {‘train’, ‘test’, ‘unlabeled’, ‘train+unlabeled’}. Accordingly, dataset is selected.
• folds (int, optional) – One of {0-9} or None. For training, loads one of the 10 pre-defined folds of 1k samples for the standard evaluation procedure. If no value is passed, loads the 5k samples.
• 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