You have been asked to train a custom object detection model for a retail inventory management system that needs to detect and count various products on shelves. 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.