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Learn the simple picture: YOLO looks at the image once — a CNN backbone extracts features, a neck mixes them at several scales (small and large objects), and a head predicts boxes, classes and confidence in one pass. That is why it is fast enough for video. Model sizes: n (nano, fastest) → s → m → l → x (most accurate).