ImageNet

class torchvision.datasets.ImageNet(root: str, split: str = 'train', **kwargs: Any)

ImageNet 2012 Classification Dataset.

Parameters:

• root (string) – Root directory of the ImageNet Dataset.

• split (string, optional) – The dataset split, supports train, or val.

• 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.

• loader – A function to load an image given its path.

Special-members:

__getitem__(index: int) → Tuple[Any, Any]

Parameters:

index (int) – Index

Returns:

(sample, target) where target is class_index of the target class.

Return type:

tuple