class_docstr: Visual Domain Decathlon Datasets.
code: def _info(self):
      num_classes = self.builder_config.num_classes
      return tfds.core.DatasetInfo(
          builder=self,
          description=_DESCRIPTION,
          features=tfds.features.FeaturesDict(
              {
                  "name": tfds.features.Text(),
                  "image": tfds.features.Image(
                      shape=(None, None, 3), encoding_format="jpeg"
                  ),
                  "label": tfds.features.ClassLabel(
                      num_classes=num_classes
                  ),
              }
          ),
          supervised_keys=("image", "label"),
          homepage="https://www.robots.ox.ac.uk/~vgg/decathlon/",
          citation=_CITATION,
      )
  
file_path: datasets/tensorflow_datasets/image_classification/visual_domain_decathlon.py
imports: import json
  import os
  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 VisualDomainDecathlon obj's underlying member method code with example usage: obj._info() and returns: tfds