It is not capable of identifying individual people, just recognizing faces and facial features in an image. Still quite useful for things like Snapchat's masks.
>VoiceOver will then use face detection to tell you how many people are in the frame. It will also say if a face is small, and where in the frame a face or faces are located incase you want to try and better center them. When you move, it will tell you the new framing, so you can figure out if you're getting closer to the shot you want.
One face. Small face. Bottom left corner.
https://developers.google.com/android/reference/com/google/a...
Use the NN to find the faces, and the non-NN to track faces once the NN has found them, and use the NN to periodically check to see that the non-NN is still locked on.
Suppose the NN is only 25% of the speed you need to support the frame rate you want. Then every time you get a new face blob list from the NN, the non-NN tracker would to track the blobs for 3 frames. My guess is that in most common photography situations where you need face detection, faces won't move very far or won't change orientation or lighting very much in 3 frames.