class_docstr: Car Images dataset.
class_docstr_tok: ["Car","Images","dataset","."]
docstr: Define the dataset info.
docstr_tok: ["Define","the","dataset","info","."]
code: def _info(self):
      """Define the dataset info."""
      features_dict = {
          "image": tfds.features.Image(),
          "label": tfds.features.ClassLabel(names=_NAMES),
          "bbox": tfds.features.BBoxFeature(),
      }
      if self.version > "2.0.0":
          features_dict["id"] = tfds.features.Text()
      return tfds.core.DatasetInfo(
          builder=self,
          description=(_DESCRIPTION),
          features=tfds.features.FeaturesDict(features_dict),
          supervised_keys=("image", "label"),
          homepage="https://ai.stanford.edu/~jkrause/cars/car_dataset.html",
          citation=_CITATION,
      )
  
file_path: datasets/tensorflow_datasets/image_classification/cars196.py
imports: import os
  import urllib
  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 Cars196 obj's underlying member method code with example usage: obj._info() and returns: tfds