Detection is the stage that decides what the rest of the system is even allowed to look at. Given a full scene containing several faces and background objects, a detector scans the image and produces a bounding box around each face it finds. Only the pixels inside that box are passed forward; the background, the furniture, and every other object are discarded. This is why detection must come first: the embedding stage expects a cropped face region, not a whole photograph, and a crop that is off-center or too loose degrades everything downstream.
How AI Recognizes a Face: From Detection to Identity Match
The Face Recognition Pipeline: Detection, Embedding, Matching
Detection Is the Entry Gate
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That first stage is doing more work than it looks like. Here is a normal scene: several faces, a table, a window, a lot of pixels that have nothing to do with anyone's identity.
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