class_docstr: Lost and Found Road Hazard Dataset.
class_docstr_tok: ["Lost","and","Found","Road","Hazard","Dataset","."]
code: def _info(self):
      possible_features = {
          "image_left": tfds.features.Image(
              shape=(1024, 2048, 3), encoding_format="png"
          ),
          "image_right": tfds.features.Image(
              shape=(1024, 2048, 3), encoding_format="png"
          ),
          "segmentation_label": tfds.features.Image(
              shape=(1024, 2048, 1),
              encoding_format="png",
              use_colormap=True,
          ),
          "instance_id": tfds.features.Image(
              shape=(1024, 2048, 1),
              encoding_format="png",
              use_colormap=True,
          ),
          "disparity_map": tfds.features.Image(
              shape=(1024, 2048, 1), encoding_format="png"
          ),
      }
      features = {
          feat: possible_features[feat]
          for feat in self.builder_config.features
      }
      features["image_id"] = tfds.features.Text()
      features = tfds.features.FeaturesDict(features)
      return self.dataset_info_from_configs(
          # tfds.features.FeatureConnectors
          features=features,
          # Homepage of the dataset for documentation
          homepage="http://www.6d-vision.com/lostandfounddataset",
      )
  
file_path: datasets/tensorflow_datasets/datasets/lost_and_found/lost_and_found_dataset_builder.py
imports: from os import path
  import re
  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 Builder obj's underlying member method code with example usage: obj._info() and returns: self