class_docstr: Blood Cell Count and Detection Dataset.
class_docstr_tok: ["Blood","Cell","Count","and","Detection","Dataset","."]
code: def _info(self):
      return self.dataset_info_from_configs(
          features=tfds.features.FeaturesDict(
              {
                  "image": tfds.features.Image(
                      shape=(480, 640, 3), encoding_format="jpeg"
                  ),
                  "image/filename": tfds.features.Text(),
                  # Multiple bounding box per image
                  "objects": tfds.features.Sequence(
                      {
                          "label": tfds.features.ClassLabel(
                              names=_CLASS_LABELS
                          ),
                          "bbox": tfds.features.BBoxFeature(),
                      }
                  ),
              }
          ),
          homepage=_HOMEPAGE_URL,
      )
  
file_path: datasets/tensorflow_datasets/datasets/bccd/bccd_dataset_builder.py
imports: import collections
  import os
  import xml.etree.ElementTree
  from etils import epath
  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