Computer Vision Interview Questions, issue 9, Jan 10, 2026
The Tiny Object Trap
Senior Computer Vision Engineer interview at Amazon Fulfillment Technologies & Robotics, and the interviewer asks:
βWe need to detect tiny, 3mm micro-fractures on a fast-moving assembly line. You suggested π ππ¬πππ« π-πππ over ππππ. Why does the πππ π’π¨π§ ππ«π¨π©π¨π¬ππ₯ ππππ°π¨π«π€ (πππ) specifically help with small objects, even though it kills our inference speed?β
Donβt say: βBecause two-stage detectors are generally more accurate than single-stage detectors.ββ
Why Faster R-CNN still beats YOLO when defects are smaller than your receptive field.
The full answer, with the mechanism and the arithmetic, is for paid subscribers on Substack.