class_docstr: ImageNet dataset.
class_docstr_tok: ["ImageNet","dataset","."]
code: def __len__(self):
      return len(self._imdb)
  
imports: import json
  import numpy
  import os
  import random
  import re
  import torch
  import torch.utils.data
  from PIL import Image
  from torchvision import transforms
  import slowfast.datasets.transform
  import slowfast.utils.logging
  from slowfast.models.utils import calc_mvit_feature_geometry
  from slowfast.utils.env import pathmgr
  from .build import DATASET_REGISTRY
  from .transform import MaskingGenerator, transforms_imagenet_train
label_desc: Use image node_id 10 for calling the Imagenet obj's underlying member method code with example usage: obj.__len__() and returns: len