VOCSegmentation¶
- class torchvision.datasets.VOCSegmentation(root: str, 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 (string) – 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 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.
transforms (callable, optional) – A function/transform that takes input sample and its target as entry and returns a transformed version.
- Special-members: