You are developing a custom object detection model to detect various types of fruits in an orchard. The model needs to be highly accurate and efficient due to the real-time nature of the application. 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.