class_docstr: Image dataset for test split of `ADE20K`_.
  
  This is an image dataset of test split in ADE20K dataset distributed at
  MIT Scene Parsing Benchmark website. It has 3,352 test images.
  
  .. _`MIT Scene Parsing Benchmark`: http://sceneparsing.csail.mit.edu/
  
  Args:
      data_dir (string): Path to the dataset directory. The directory should
          contain the :obj:`release_test` dir. If :obj:`auto` is given, the
          dataset is automatically downloaded into
          :obj:`$CHAINER_DATASET_ROOT/pfnet/chainercv/ade20k`.
  
  This dataset returns the following data.
  
  .. csv-table::
      :header: name, shape, dtype, format
  
      :obj:`img`, ":math:`(3, H, W)`", :obj:`float32`,         "RGB, :math:`[0, 255]`"
code: def _get_image(self, i):
      return read_image(self.img_paths[i])
  
file_path: chainercv/chainercv/datasets/ade20k/ade20k_test_image_dataset.py
imports: import glob
  import os
  from chainercv.chainer_experimental.datasets.sliceable import GetterDataset
  from chainercv.datasets.ade20k.ade20k_utils import get_ade20k
  from chainercv.utils import read_image
label_desc: Use image node_id 3 for calling the ADE20KTestImageDataset obj's underlying member method code with example usage: obj._get_image(i) and returns: read_image