- class torchvision.datasets.OxfordIIITPet(root: str, split: str = 'trainval', target_types: Union[Sequence[str], str] = 'category', transforms: Optional[Callable] = None, transform: Optional[Callable] = None, target_transform: Optional[Callable] = None, download: bool = False)[source]¶
root (string) – Root directory of the dataset.
split (string, optional) – The dataset split, supports
target_types (string, sequence of strings, optional) –
Types of target to use. Can be
segmentation. Can also be a list to output a tuple with all specified target types. The types represent:
category(int): Label for one of the 37 pet categories.
segmentation(PIL image): Segmentation trimap of the image.
Nonewill be returned as target.
transform (callable, optional) – A function/transform that takes in a 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 into
root/oxford-iiit-pet. If dataset is already downloaded, it is not downloaded again.