VOCSegmentation — Torchvision 0.22 documentation (original) (raw)
class torchvision.datasets.VOCSegmentation(root: Union[str, Path], year: str = '2012', image_set: str = 'train', download: bool = False, transform: Optional[Callable] = None, target_transform: Optional[Callable] = None, transforms: Optional[Callable] = None)[source]¶
Pascal VOC Segmentation Dataset.
Parameters:
- root (str or
pathlib.Path
) – Root directory of the VOC Dataset. - year (string , optional) – The dataset year, supports years
"2007"
to"2012"
. - image_set (string , optional) – Select the image_set to use,
"train"
,"trainval"
or"val"
. Ifyear=="2007"
, can also be"test"
. - 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.
- 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.
- transforms (callable , optional) – A function/transform that takes input sample and its target as entry and returns a transformed version.
Special-members:
__getitem__(index: int) → Tuple[Any, Any][source]¶
Parameters:
index (int) – Index
Returns:
(image, target) where target is the image segmentation.
Return type: