code: def fridge_faster_rcnn_model() -> nn.Module:
      backbone = models.torchvision.faster_rcnn.backbones.resnet18_fpn(
          pretrained=False
      )
      return faster_rcnn.model(num_classes=5, backbone=backbone)
  
imports: import pytest
  from icevision import *
  from icevision.imports import *
  from icevision.models.torchvision import faster_rcnn, keypoint_rcnn
  from icevision.models.ross import efficientdet
  from icevision.models.ross.efficientdet.backbones import *
  import albumentations
label_desc: Use image node_id 4 for calling a global function with example usage: fridge_faster_rcnn_model() and returns: faster_rcnn