class_docstr: ImageNet dataset that follows the structure of ImageClassificationDataset.
  
  "ImageNet: A large-scale hierarchical image database"
  Jia Deng; Wei Dong; Richard Socher; Li-Jia Li; Kai Li; Li Fei-Fei
  2009 IEEE Conference on Computer Vision and Pattern Recognition
class_docstr_tok: ["ImageNet","dataset","that","follows","the","structure","of","ImageClassificationDataset",".","``","ImageNet",":","A","large-scale","hierarchical","image","database","''","Jia","Deng",";","Wei","Dong",";","Richard","Socher",";","Li-Jia","Li",";","Kai","Li",";","Li","Fei-Fei","2009","IEEE","Conference","on","Computer","Vision","and","Pattern","Recognition"]
code: def __init__(
      self,
      opts: argparse.Namespace,
      *args,
      **kwargs,
  ) -> None:
      BaseImageClassificationDataset.__init__(
          self,
          opts=opts,
          *args,
          **kwargs,
      )
  
imports: import argparse
  from data.datasets import DATASET_REGISTRY
  from data.datasets.classification.base_image_classification_dataset import BaseImageClassificationDataset
label_desc: Use image node_id 1 to create a new ImageNetDataset object from inherited base classes: BaseImageClassificationDataset with example: obj = ImageNetDataset(opts)