class_docstr: The CIFAR-100 dataset of images.
  
  The dataset consists of 60,000 32 x 32 color images in 100 classes, with
  600 images per class. There are 50,000 training images and 10,000 test
  images.
  
  Example usage::
  
      import fiftyone as fo
      import fiftyone.zoo as foz
  
      dataset = foz.load_zoo_dataset("cifar100", split="test")
  
      session = fo.launch_app(dataset)
  
  Dataset size
      132.03 MB
  
  Source
      https://www.cs.toronto.edu/~kriz/cifar.html
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code: def tags(self):
      return ("image", "classification")
  
imports: import eta.core.utils
  import fiftyone.core.labels
  import fiftyone.core.utils
  import fiftyone.types
  import fiftyone.utils.coco
  import fiftyone.utils.data
  import fiftyone.utils.imagenet
  import fiftyone.utils.voc
  import fiftyone.zoo.datasets
label_desc: Use image node_id 2 for calling the CIFAR100Dataset obj's underlying member method code with example usage: obj.tags() and returns: str,  str