Object Detection Quiz

What you'll be asked

1. In the context of computer vision, what is the primary goal of an object detection model?
2. What is the purpose of Non-Maximum Suppression (NMS) in object detection pipelines?
3. Which metric is commonly used to evaluate the accuracy of a bounding box prediction compared to the ground truth?
4. Why might a 'two-stage' detector (like Faster R-CNN) be preferred over a 'one-stage' detector (like YOLO) in certain enterprise applications?
5. When training an object detection model, what is the 'Anchor Box' mechanism primarily used for?

Answers and explanations come after you submit.