code: def train_dl(
      dataset, batch_tfms=None, **dataloader_kwargs
  ) -> DataLoader:
      return transform_dl(
          dataset=dataset,
          build_batch=build_train_batch,
          batch_tfms=batch_tfms,
          **dataloader_kwargs,
      )
  
file_path: icevision/icevision/models/mmdet/common/bbox/dataloaders.py
imports: from icevision.models.mmdet.common.utils import convert_background_from_zero_to_last
  from icevision.core import *
  from icevision.imports import *
  from icevision.models.utils import *
label_desc: Use image node_id 1 for calling a global function with example usage: train_dl(dataset, batch_tfms) and returns: transform_dl