class_docstr: Places365 dataset that follows the structure of ImageClassificationDataset.
  
  "Places: A 10 million Image Database for Scene Recognition"
  B. Zhou, A. Lapedriza, A. Khosla, A. Oliva, and A. Torralba
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017
class_docstr_tok: ["Places365","dataset","that","follows","the","structure","of","ImageClassificationDataset",".","``","Places",":","A","10","million","Image","Database","for","Scene","Recognition","''","B.","Zhou",",","A.","Lapedriza",",","A.","Khosla",",","A.","Oliva",",","and","A.","Torralba","IEEE","Transactions","on","Pattern","Analysis","and","Machine","Intelligence",",","2017"]
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 Places365Dataset object from inherited base classes: BaseImageClassificationDataset with example: obj = Places365Dataset(opts)