code: def collate_data(batch):
      images, targets = zip(*batch)
      return list(images), list(targets)
  
imports: import os
  import pandas
  import random
  import torch
  import torchvision
  from detecto.config import config
  from detecto.utils import default_transforms, filter_top_predictions, xml_to_csv, _is_iterable, read_image
  from torchvision import transforms
  from torchvision.models.detection.faster_rcnn import FastRCNNPredictor
  from tqdm import tqdm
label_desc: Use image node_id 2 for calling the DataLoader obj's underlying member method code with example usage: obj.collate_data(batch) and returns: list,  list