code: def EfficientNetB5_retinanet(num_classes, inputs=None, **kwargs):
      return effnet_retinanet(
          num_classes=num_classes,
          backbone="EfficientNetB5",
          inputs=inputs,
          **kwargs,
      )
  
file_path: ImageAI/imageai_tf_deprecated/Detection/keras_retinanet/models/effnet.py
imports: from tensorflow import keras
  from .None import retinanet
  from .None import Backbone
  import efficientnet.keras
label_desc: Use image node_id 7 for calling a global function with example usage: EfficientNetB5_retinanet(num_classes, inputs) and returns: effnet_retinanet