- 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)[source]¶
Caltech 101 Dataset.
This class needs scipy to load target files from .mat format.
root (string) – Root directory of dataset where directory
caltech101exists or will be saved to if download is set to True.
target_type (string or list, optional) – Type of target to use,
annotation. Can also be a list to output a tuple with all specified target types.
categoryrepresents the target class, and
annotationis a list of points from a hand-generated outline. Defaults to
transform (callable, optional) – A function/transform that takes in an PIL image and returns a transformed version. E.g,
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.