docs: def upload_segmentation_image(self, mapobject_type_name,
              plate_name, well_name, well_pos_y, well_pos_x, tpoint, zplane,
              image):
          '''Uploads a segmentation image.
  
          Parameters
          ----------
          mapobject_type_name: str
              name of the segmented objects
          plate_name: str
              name of the plate
          well_name: str
              name of the well in which the image is located
          well_pos_y: int
              y-position of the site relative to the well grid
          well_pos_x: int
              x-position of the site relative to the well grid
          tpoint: int, optional
              zero-based time point index (default: ``0``)
          zplane: int, optional
              zero-based z-plane index (default: ``0``)
          image: numpy.ndarray[numpy.int32]
              labeled array
  
          Raises
          ------
          TypeError
              when `image` is not provided in form of a `numpy` array
          ValueError
              when `image` doesn't have 32-bit unsigned integer data type
  
          See also
          --------
          :func:`tmserver.api.mapobject.add_segmentations`
          :class:`tmlib.models.mapobject.MapobjectSegmentation`
          '''
          if not isinstance(image, np.ndarray):
              raise TypeError('Image must be provided in form of a numpy array.')
          if image.dtype != np.int32:
              raise ValueError('Image must have 32-bit integer data type.')
          self._upload_segmentation_image(mapobject_type_name,
              plate_name, well_name, well_pos_y, well_pos_x, tpoint, zplane,
              image
          )