class_docstr: Caltech Birds 2011 dataset.
code: def _info(self):
      return tfds.core.DatasetInfo(
          builder=self,
          description=_DESCRIPTION,
          features=tfds.features.FeaturesDict(
              {
                  # Images are of varying size
                  "image": tfds.features.Image(),
                  "image/filename": tfds.features.Text(),
                  "label": tfds.features.ClassLabel(num_classes=200),
                  "label_name": tfds.features.Text(),
                  "bbox": tfds.features.BBoxFeature(),
                  "segmentation_mask": tfds.features.Image(
                      shape=(None, None, 1)
                  ),
              }
          ),
          supervised_keys=("image", "label"),
          homepage=_URL,
          citation=_CITATION,
      )
  
imports: import collections
  import concurrent.futures
  import os
  import re
  from etils import epath
  import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 2 for calling the CaltechBirds2011 obj's underlying member method code with example usage: obj._info() and returns: tfds