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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)[source]

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 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.

  • 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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