OxfordIIITPet¶
-
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]¶ -
- Parameters
root (string) – Root directory of the dataset.
split (string, optional) – The dataset split, supports
"trainval"
(default) or"test"
.target_types (string, sequence of strings, optional) –
Types of target to use. Can be
category
(default) orsegmentation
. 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.
If empty,
None
will be returned as target.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 into
root/oxford-iiit-pet
. If dataset is already downloaded, it is not downloaded again.
- Special-members