class_docstr: Pascal VOC 2007 or 2012.
code: def _info(self):
      return tfds.core.DatasetInfo(
          builder=self,
          description=_VOC_DESCRIPTION,
          features=tfds.features.FeaturesDict(
              {
                  "image": tfds.features.Image(),
                  "image/filename": tfds.features.Text(),
                  "objects": tfds.features.Sequence(
                      {
                          "label": tfds.features.ClassLabel(
                              names=_VOC_LABELS
                          ),
                          "bbox": tfds.features.BBoxFeature(),
                          "pose": tfds.features.ClassLabel(
                              names=_VOC_POSES
                          ),
                          "is_truncated": np.bool_,
                          "is_difficult": np.bool_,
                      }
                  ),
                  "labels": tfds.features.Sequence(
                      tfds.features.ClassLabel(names=_VOC_LABELS)
                  ),
                  "labels_no_difficult": tfds.features.Sequence(
                      tfds.features.ClassLabel(names=_VOC_LABELS)
                  ),
              }
          ),
          homepage=_VOC_URL.format(year=self.builder_config.year),
          citation=_VOC_CITATION.format(year=self.builder_config.year),
      )
  
file_path: datasets/tensorflow_datasets/object_detection/voc.py
imports: from __future__ import annotations
  import os
  import xml.etree.ElementTree
  import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling the Voc obj's underlying member method code with example usage: obj._info() and returns: tfds