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Showing content from https://docs.pytorch.org/vision/stable/generated/torchvision.datasets.CIFAR10.html below:

CIFAR10 — Torchvision 0.23 documentation

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 directory cifar-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

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