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