class_docstr: The Fashion-MNIST database of Zalando's fashion article images.
  
  The dataset consists of 70,000 28 x 28 grayscale images in 10 classes.
  There are 60,000 training images and 10,000 test images.
  
  Example usage::
  
      import fiftyone as fo
      import fiftyone.zoo as foz
  
      dataset = foz.load_zoo_dataset("fashion-mnist", split="test")
  
      session = fo.launch_app(dataset)
  
  Dataset size
      36.42 MB
  
  Source
      https://github.com/zalandoresearch/fashion-mnist
class_docstr_tok: ["The","Fashion-MNIST","database","of","Zalando","'s","fashion","article","images",".","The","dataset","consists","of","70,000","28","x","28","grayscale","images","in","10","classes",".","There","are","60,000","training","images","and","10,000","test","images",".","Example","usage",":",":","import","fiftyone","as","fo","import","fiftyone.zoo","as","foz","dataset","=","foz.load_zoo_dataset","(","``","fashion-mnist","''",",","split=","''","test","''",")","session","=","fo.launch_app","(","dataset",")","Dataset","size","36.42","MB","Source","https",":","\/\/github.com\/zalandoresearch\/fashion-mnist"]
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 FashionMNISTDataset obj's underlying member method code with example usage: obj.tags() and returns: str,  str