FakeData¶
-
class
torchvision.datasets.
FakeData
(size: int = 1000, image_size: Tuple[int, int, int] = (3, 224, 224), num_classes: int = 10, transform: Optional[Callable] = None, target_transform: Optional[Callable] = None, random_offset: int = 0)[source]¶ A fake dataset that returns randomly generated images and returns them as PIL images
- Parameters
size (int, optional) – Size of the dataset. Default: 1000 images
image_size (tuple, optional) – Size if the returned images. Default: (3, 224, 224)
num_classes (int, optional) – Number of classes in the dataset. Default: 10
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.
random_offset (int) – Offsets the index-based random seed used to generate each image. Default: 0
- Special-members