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 __len__(self):
      return len(self._imgid_items)
  
file_path: analytics-zoo/pyzoo/zoo/orca/data/image/voc_dataset.py
imports: import numpy
  import os
  import os.path
  from PIL import Image
  import logging
label_desc: Use image node_id 3 for calling the VOCDatasets obj's underlying member method code with example usage: obj.__len__() and returns: len