code: def __getitem__(self, index):
      num_object = np.random.randint(1, 6)
      return mx.random.normal(shape=(300, 300, 3)), np.random.randn(
          num_object, 5
      )
  
imports: from __future__ import print_function
  from __future__ import division
  import mxnet
  import numpy
  import gluoncv
  from gluoncv.data.batchify import *
  from gluoncv.data import DetectionDataLoader, RandomTransformDataLoader
label_desc: Use image node_id 4 for calling the DummyDetectionDataset obj's underlying member method code with example usage: obj.__getitem__(index) and returns: mx,  np