class_docstr: Represents dataset batch returned by the dataloader during iteration.
class_docstr_tok: ["Represents","dataset","batch","returned","by","the","dataloader","during","iteration","."]
docstr: Return additional data for the batch in numpy format.
docstr_tok: ["Return","additional","data","for","the","batch","in","numpy","format","."]
code: def numpy_additional_data(self):
      """Return additional data for the batch in numpy format."""
      return sequence_to_numpy(self.original_additional_data)
  
imports: from typing import Dict, List, Optional, Union
  import numpy
  from deepchecks.core.errors import DeepchecksProcessError
  from deepchecks.vision.utils.image_functions import crop_image
  from deepchecks.vision.utils.image_properties import calc_default_image_properties, default_image_properties
  from deepchecks.vision.utils.vision_properties import PropertiesInputType, calc_vision_properties, validate_properties
  from deepchecks.vision.vision_data.utils import BatchOutputFormat, TaskType, sequence_to_numpy
label_desc: Use image node_id 13 for calling the BatchWrapper obj's underlying member method code with example usage: obj.numpy_additional_data() and returns: sequence_to_numpy