class_docstr: `SBU Captioned Photo <http://www.cs.virginia.edu/~vicente/sbucaptions/>`_ Dataset.
  
  Args:
      root (string): Root directory of dataset where tarball
          ``SBUCaptionedPhotoDataset.tar.gz`` exists.
      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 in root directory. If dataset is already downloaded, it is not
          downloaded again.
docstr: Args:
      index (int): Index
  
  Returns:
      tuple: (image, target) where target is a caption for the photo.
code: def __getitem__(self, index: int) -> Tuple[Any, Any]:
      """
      Args:
          index (int): Index
  
      Returns:
          tuple: (image, target) where target is a caption for the photo.
      """
      filename = os.path.join(self.root, "dataset", self.photos[index])
      img = Image.open(filename).convert("RGB")
      if self.transform is not None:
          img = self.transform(img)
  
      target = self.captions[index]
      if self.target_transform is not None:
          target = self.target_transform(target)
  
      return img, target
  
file_path: vision/torchvision/datasets/sbu.py
imports: import os
  from typing import Any, Callable, Optional, Tuple
  from PIL import Image
  from .utils import check_integrity, download_and_extract_archive, download_url
  from .vision import VisionDataset
label_desc: Use image node_id 2 for calling the SBU obj's underlying member method code with example usage: obj.__getitem__(index) and returns: img,  target