CIFAR10 — Torchvision 0.22 documentation (original) (raw)

class torchvision.datasets.CIFAR10(root: Union[str, Path], train: bool = True, transform: Optional[Callable] = None, target_transform: Optional[Callable] = None, download: bool = False)[source]¶

CIFAR10 Dataset.

Parameters:

• root (str or pathlib.Path) – Root directory of dataset where directorycifar-10-batches-py exists or will be saved to if download is set to True.
• train (bool, optional) – If True, creates dataset from training set, otherwise creates from test set.
• 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