class_docstr: DatasetBuilder for RefCoco datasets.
class_docstr_tok: ["DatasetBuilder","for","RefCoco","datasets","."]
code: def _info(self):
      return self.dataset_info_from_configs(
          homepage="https://github.com/lichengunc/refer",
          features=tfds.features.FeaturesDict(
              {
                  "image": tfds.features.Image(encoding_format="jpeg"),
                  "image/id": np.int64,
                  "objects": tfds.features.Sequence(
                      {
                          "id": np.int64,
                          "area": np.int64,
                          "bbox": tfds.features.BBoxFeature(),
                          "label": np.int64,
                          "gt_box_index": np.int64,
                          "refexp": tfds.features.Sequence(
                              {
                                  "refexp_id": np.int64,
                                  "raw": tfds.features.Text(),
                              }
                          ),
                      }
                  ),
                  "coco_annotations": tfds.features.Sequence(
                      {
                          "id": np.int64,
                          "area": np.int64,
                          "bbox": tfds.features.BBoxFeature(),
                          "label": np.int64,
                      }
                  ),
              }
          ),
          supervised_keys=None,
      )
  
file_path: datasets/tensorflow_datasets/datasets/ref_coco/ref_coco_dataset_builder.py
imports: from __future__ import annotations
  import collections
  import json
  import operator
  import numpy
  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