- class torchvision.datasets.DTD(root: str, split: str = 'train', partition: int = 1, transform: Optional[Callable] = None, target_transform: Optional[Callable] = None, download: bool = False)¶
root (string) – Root directory of the dataset.
split (string, optional) – The dataset split, supports
partition (int, optional) –
The dataset partition. Should be
1 <= partition <= 10. Defaults to
The partition only changes which split each image belongs to. Thus, regardless of the selected partition, combining all splits will result in all images.
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 in root directory. If dataset is already downloaded, it is not downloaded again. Default is False.