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# Caltech101

class torchvision.datasets.Caltech101(root: str, target_type: Union[List[str], str] = 'category', transform: Optional[Callable] = None, target_transform: Optional[Callable] = None, download: bool = False)

  Caltech 101 Dataset.

  Warning

  This class needs scipy to load target files from .mat format.

  Parameters:

    - root (string) – Root directory of dataset where directory `caltech101` exists or will be saved to if download is set to True.

    - target_type (string or list, optional) – Type of target to use, `category` or `annotation`. Can also be a list to output a tuple with all specified target types. `category` represents the target class, and `annotation` is a list of points from a hand-generated outline. Defaults to `category`.

    - transform (callable, optional) – A function/transform that takes in an 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]
    Parameters:

      index (int) – Index

    Returns:

      (image, target) where the type of target specified by target_type.

    Return type:

      tuple

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