
Ultimate access to all questions.
You have been tasked with training a custom object detection model to detect various types of vehicles in traffic surveillance 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.
A
Use a lightweight model architecture, label with object tags, evaluate using recall.
B
Use a complex model architecture, label with bounding boxes, evaluate using mean average precision.
C
Use a lightweight model architecture, label with bounding boxes, evaluate using mean average precision.
D
Use a complex model architecture, label with object tags, evaluate using accuracy.