class_docstr: WIDER FACE Dataset.
class_docstr_tok: ["WIDER","FACE","Dataset","."]
code: def _info(self):
      features = {
          "image": tfds.features.Image(encoding_format="jpeg"),
          "image/filename": tfds.features.Text(),
          "faces": tfds.features.Sequence(
              {
                  "bbox": tfds.features.BBoxFeature(),
                  "blur": np.uint8,
                  "expression": np.bool_,
                  "illumination": np.bool_,
                  "occlusion": np.uint8,
                  "pose": np.bool_,
                  "invalid": np.bool_,
              }
          ),
      }
      return tfds.core.DatasetInfo(
          builder=self,
          description=_DESCRIPTION,
          features=tfds.features.FeaturesDict(features),
          homepage=_PROJECT_URL,
          citation=_CITATION,
      )
  
file_path: datasets/tensorflow_datasets/object_detection/wider_face.py
imports: from __future__ import annotations
  import os
  import re
  import numpy
  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 WiderFace obj's underlying member method code with example usage: obj._info() and returns: tfds