Compare YOLO, Faster R-CNN, and SSD object detection architectures. What are the trade-offs between them, and how would you choose one for a specific application?

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YOLO, Faster R-CNN, and SSD represent different design philosophies for object detection, each with distinct trade-offs between speed and accuracy. Faster R-CNN is a two-stage detector.

Compare YOLO, Faster R-CNN, and SSD object detection architectures. What are the trade-offs between them, and how would you choose one for a specific application?

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