You have been asked to train a custom object detection model for a smart city project that needs to detect and count various types of vehicles in real-time traffic footage. The model needs to be efficient and accurate. Describe how you would approach the training of this model, including the choice of model architecture, the labeling process, and the metrics you would use to evaluate the model's performance.