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Object detection: two-stage vs one-stage (Faster R-CNN, YOLO ideas)

Object detection: find it and draw the box

Classification answers “what”. Detection answers “what and where”: find every object in the image and draw a bounding box with a class label around each. That is harder in principle—the count is unknown, objects vary in size, and they may overlap. In a decade, methods went from RCNN (2013, ~47 s per frame) to YOLOv8 (2023, ~160 FPS).

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