class_docstr: Pascal VOC dataset load
  
  Parameters
  ----------------
  root: str, example:'./data/VOCdevkit'.
  splits_names: tuple, ((year, trainval)).
  classes: list[str], If you using custom-voc dataset,     you need to config the name of custom objects.
  difficult: bool, False ignore voc xml difficult value.
class_docstr_tok: ["Pascal","VOC","dataset","load","Parameters","--","--","--","--","--","--","--","--","root",":","str",",","example",":","'.\/data\/VOCdevkit","'",".","splits_names",":","tuple",",","(","(","year",",","trainval",")",")",".","classes",":","list","[","str","]",",","If","you","using","custom-voc","dataset",",","you","need","to","config","the","name","of","custom","objects",".","difficult",":","bool",",","False","ignore","voc","xml","difficult","value","."]
code: def classes_label(self):
      return self.CLASSES
  
file_path: BigDL/python/orca/src/bigdl/orca/data/image/voc_dataset.py
imports: import numpy
  import os.path
  import logging
  from bigdl.dllib.utils.log4Error import invalidInputError, invalidOperationError
  from typing import TYPE_CHECKING, List, Tuple, Optional, Dict, no_type_check
label_desc: Use image node_id 9 for calling the VOCDatasets obj's underlying member method code with example usage: obj.classes_label() and returns: self