Comments (3)
Thank you for the credit.
Just a small note trailing this issue: leveraging the expansion feature while might be useful to draw wider contours of a facial_area has the undesireble effect to increase false detection positives in find
as the cropped face contains more "noise" (I suppose).
from deepface.
Benchmark study on LFW dataset ignores outer areas of face to evaluate human beings performance. That is why, facial recognition researches discard outer area as well.
If you still want to use a wider area, library lets you to do it but default should be 0.
from deepface.
The problem arises from empirical observation of realtime detection where the the cropped face from a wider area (+30%) is passed to find with "skip" detection.
This in my experience increase a lot false positives (I'm always recognized as mark Zuckerberg)
Maybe I'm missing something then
from deepface.
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from deepface.