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# LFWPairs

class torchvision.datasets.LFWPairs(root: str, split: str = '10fold', image_set: str = 'funneled', transform: Optional[Callable] = None, target_transform: Optional[Callable] = None, download: bool = False)

  LFW Dataset.

  Parameters:

    - root (string) – Root directory of dataset where directory `lfw-py` exists or will be saved to if download is set to True.

    - split (string, optional) – The image split to use. Can be one of `train`, `test`, `10fold`. Defaults to `10fold`.

    - image_set (str, optional) – Type of image funneling to use, `original`, `funneled` or `deepfunneled`. Defaults to `funneled`.

    - transform (callable, optional) – A function/transform that takes in an PIL image and returns a transformed version. E.g, `transforms.RandomRotation`

    - 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.

  Special-members:

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

      index (int) – Index

    Returns:

      (image1, image2, target) where target is 0 for different indentities and 1 for same identities.

    Return type:

      tuple

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