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<p>I remember there is a slider to adjust the
sensitivity/specificity (more false positives/more false
negatives) in the detection. But that won't improve the
recognition by much (settings between 60 and 80 worked best for
me). The fact is that the recognition only works well under
certain conditions (a group of well defined faces looking to the
camera, and without too many people to choose from). It seems that
it will be improved during this summer as one of the projects for
the Google Summer of Code 2020, so if it goes well, we may see the
results by the end of the year.</p>
<p>Oh, and it's a know issue. If you delete a face rectangle, and
run the detection again, it will be detected once again. There's a
feature under development (again, summer of code) which will add
an "Ignored" category that would solve this.</p>
<p>So I am optimist that in the future both issues will improve.<br>
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<div class="moz-cite-prefix">El 25/6/20 a les 21:29, Alex Antão ha
escrit:<br>
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<blockquote type="cite" cite="mid:172ecf53be3.118f88527629545.7841885089319997482@familiaturista.com.br">
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<div>Is there a way to tune face recognition better ? <br>
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<div>That's because it is finding some faces completely
different from some people. Even if I apply them to the right
one, new ones keep going to the wrong.<br>
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<div>It also seems that it cannot forget some deleted faces. For
example, I mistakenly applied a name to a face, that name was
wrong and fixed it to the right. When I start the face
recognition process, that deleted face apears again and the
faces that should be assigned to the Corrected face, is
assigned to the deleted one....<br>
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<div>Thanks...</div>
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