code: def fasterrcnn_mobilenet_v3_large_fpn(
      pretrained: bool = False, **kwargs: Any
  ) -> FasterRCNN:
      """Faster-RCNN architecture with a MobileNet V3 backbone as described in `"Faster R-CNN: Towards Real-Time
      Object Detection with Region Proposal Networks" <https://arxiv.org/pdf/1506.01497.pdf>`_.
  
      >>> import torch
      >>> from doctr.models.obj_detection import fasterrcnn_mobilenet_v3_large_fpn
      >>> model = fasterrcnn_mobilenet_v3_large_fpn(pretrained=True)
      >>> input_tensor = torch.rand((1, 3, 1024, 1024), dtype=torch.float32)
      >>> out = model(input_tensor)
  
      Args:
      ----
          pretrained (bool): If True, returns a model pre-trained on our object detection dataset
          **kwargs: keyword arguments of the FasterRCNN architecture
  
      Returns:
      -------
          object detection architecture
      """
      return _fasterrcnn(
          "fasterrcnn_mobilenet_v3_large_fpn", pretrained, **kwargs
      )
  
imports: from typing import Any, Dict
  from torchvision.models.detection import FasterRCNN, FasterRCNN_MobileNet_V3_Large_FPN_Weights, faster_rcnn
  from ...utils import load_pretrained_params
label_desc: Use image node_id 2 for calling a global function with example usage: fasterrcnn_mobilenet_v3_large_fpn(pretrained) and returns: _fasterrcnn