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# Cityscapes

class torchvision.datasets.Cityscapes(root: str, split: str = 'train', mode: str = 'fine', target_type: Union[List[str], str] = 'instance', transform: Optional[Callable] = None, target_transform: Optional[Callable] = None, transforms: Optional[Callable] = None)

  Cityscapes Dataset.

  Parameters:

    - root (string) – Root directory of dataset where directory `leftImg8bit` and `gtFine` or `gtCoarse` are located.

    - split (string, optional) – The image split to use, `train`, `test` or `val` if mode=”fine” otherwise `train`, `train_extra` or `val`

    - mode (string, optional) – The quality mode to use, `fine` or `coarse`

    - target_type (string or list, optional) – Type of target to use, `instance`, `semantic`, `polygon` or `color`. Can also be a list to output a tuple with all specified target types.

    - 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.

    - transforms (callable, optional) – A function/transform that takes input sample and its target as entry and returns a transformed version.

  Examples

  Get semantic segmentation target

      dataset = Cityscapes('./data/cityscapes', split='train', mode='fine',
                           target_type='semantic')

      img, smnt = dataset[0]

  Get multiple targets

      dataset = Cityscapes('./data/cityscapes', split='train', mode='fine',
                           target_type=['instance', 'color', 'polygon'])

      img, (inst, col, poly) = dataset[0]

  Validate on the “coarse” set

      dataset = Cityscapes('./data/cityscapes', split='val', mode='coarse',
                           target_type='semantic')

      img, smnt = dataset[0]

  Special-members:

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

      index (int) – Index

    Returns:

      (image, target) where target is a tuple of all target types if target_type is a list with more than one item. Otherwise, target is a json object if target_type=”polygon”, else the image segmentation.

    Return type:

      tuple

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