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ImageNet

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

ImageNet 2012 Classification Dataset.

Note

Before using this class, it is required to download ImageNet 2012 dataset from here and place the files ILSVRC2012_devkit_t12.tar.gz and ILSVRC2012_img_train.tar or ILSVRC2012_img_val.tar based on split in the root directory.

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 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.

  • 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

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