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# Country211

class torchvision.datasets.Country211(root: str, split: str = 'train', transform: Optional[Callable] = None, target_transform: Optional[Callable] = None, download: bool = False)

  The Country211 Data Set from OpenAI.

  This dataset was built by filtering the images from the YFCC100m dataset that have GPS coordinate corresponding to a ISO-3166 country code. The dataset is balanced by sampling 150 train images, 50 validation images, and 100 test images for each country.

  Parameters:

    - root (string) – Root directory of the dataset.

    - split (string, optional) – The dataset split, supports `"train"` (default), `"valid"` and `"test"`.

    - 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.

    - download (bool, optional) – If True, downloads the dataset from the internet and puts it into `root/country211/`. If dataset is already downloaded, it is not downloaded again.

  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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