text: import modules.detection.scripts.utils as script_utils
  
  # data loader for training
  detection_train_loader = torch.utils.data.DataLoader(
      detection_train_set, batch_size=6, shuffle=True, num_workers=4,
      collate_fn=script_utils.collate_fn)
  
  # data loader for validation
  detection_valid_loader = torch.utils.data.DataLoader(
      detection_valid_set, batch_size=2, shuffle=False, num_workers=2,
      collate_fn=script_utils.collate_fn)
  
  # data loader for testing
  detection_test_loader = torch.utils.data.DataLoader(
      detection_test_set, batch_size=2, shuffle=False, num_workers=0,
      collate_fn=script_utils.collate_fn)
  
  # defining orientation data loaders dictionary
  detection_loaders = {
      'train' : detection_train_loader,
      'valid' : detection_valid_loader,
      'test' : detection_test_loader,
  }