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CIFAR10

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

CIFAR10 Dataset.

Parameters:
  • root (string) – 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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