class_docstr: Custom Pascal VOC detection Dataset.
  Classes are generated from dataset
  generate_classes : bool, default False
      If True, generate class labels base on the annotations instead of the default classe labels.
class_docstr_tok: ["Custom","Pascal","VOC","detection","Dataset",".","Classes","are","generated","from","dataset","generate_classes",":","bool",",","default","False","If","True",",","generate","class","labels","base","on","the","annotations","instead","of","the","default","classe","labels","."]
code: def __init__(self, generate_classes=False, **kwargs):
      super(CustomVOCDetection, self).__init__(**kwargs)
      if generate_classes:
          self.CLASSES = self._generate_classes()
  
imports: from __future__ import absolute_import
  from __future__ import division
  import glob
  import logging
  import os
  import warnings
  import numpy
  import mxnet
  from ..base import VisionDataset
label_desc: Use image node_id 1 to create a new CustomVOCDetection object from inherited base classes: VOCDetection with example: obj = CustomVOCDetection(generate_classes)