code: def imagenet_example(shape=(224, 224), data_format='channels_last'):
      
      assert len(shape) == 2
      assert data_format in ['channels_first', 'channels_last']
  
      from PIL import Image
      path = os.path.join(os.path.dirname(__file__), 'example.png')
      image = Image.open(path)
      image = image.resize(shape)
      image = np.asarray(image, dtype=np.float32)
      image = image[:, :, :3]
      assert image.shape == shape + (3,)
      if data_format == 'channels_first':
          image = np.transpose(image, (2, 0, 1))
      return image, 282
docs: Returns an example image and its imagenet class label.
  
      Parameters
      ----------
      shape : list of integers
          The shape of the returned image.
      data_format : str
          "channels_first" or "channels_last"
  
      Returns
      -------
      image : array_like
          The example image.
  
      label : int
          The imagenet label associated with the image.
  
      NOTE: This function is deprecated and will be removed in the future.