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How would you build an object detection system that detects and localizes objects in images?

Boxes and labels, not one tag per image. The signal is choosing two-stage vs one-stage by your latency and accuracy budget, knowing what NMS and anchors actually do, and reporting mAP correctly. Here is the answer interviewers score highest.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

Boxes and labels, not one tag per image. The signal is choosing two-stage vs one-stage by your latency and accuracy budget, knowing what NMS and anchors actually do, and reporting mAP correctly. Here is the answer interviewers score highest.

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Next in this trackWalk through an end-to-end computer vision pipeline from raw images to a deployed model.Next in this trackHow do you choose loss functions for computer vision tasks (classification, detection, segmentation)?Next in this trackExplain semantic vs instance segmentation and how Mask R-CNN works.
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