class_docstr: BuilderConfig for the BeeDataset.
  
  Args:
  image_width (int): Desired image width.
  image_height (int): Desired image heigth.
class_docstr_tok: ["BuilderConfig","for","the","BeeDataset",".","Args",":","image_width","(","int",")",":","Desired","image","width",".","image_height","(","int",")",":","Desired","image","heigth","."]
code: def __init__(self, image_height=300, image_width=150, **kwargs):
      super().__init__(**kwargs)
      self.width = image_width
      self.height = image_height
      self.depth = 3
  
file_path: datasets/tensorflow_datasets/datasets/bee_dataset/bee_dataset_dataset_builder.py
imports: from __future__ import annotations
  import json
  import random
  import numpy
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 to create a new BeeDatasetConfig object from inherited base classes: tfds.core with example: obj = BeeDatasetConfig(image_height, image_width)