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<p>out of about 26000 image items total<br>
</p>
<ul>
<li>~13900 images w/o any face detected</li>
<li>~13700 faces detectet</li>
<li>~6000 facces verified/asigned (rate ~44%)
<br>
</li>
<li>~5100 unknowns <br>
</li>
<li>dupes not yet solved</li>
<ul>
<li>some small persona collections up to 50%</li>
<li>large collections ~15% (estmiation)<br>
</li>
</ul>
</ul>
<p>out of ~150 persona tags, top faces already assigned /confirmed<br>
</p>
<ul>
<li>Sa ~4000<br>
</li>
<li>Ph ~750<br>
</li>
<li>Si ~330</li>
<li>Bru ~300</li>
<li>Mar ~190<br>
</li>
<li>Ka ~150</li>
<li>So ~100</li>
<li>An ~90<br>
</li>
</ul>
Descending numbers for all others<br>
<div class="moz-cite-prefix"><br>
</div>
<div class="moz-cite-prefix">Am 17.05.2021 um 07:50 schrieb Maik
Qualmann:<br>
</div>
<blockquote type="cite" cite="mid:5116336.N8VXnG9BDn@linux-tpgn">
<pre class="moz-quote-pre" wrap="">How many faces per person and in total have you assigned so far to train face
recognition?
Maik
Am Montag, 17. Mai 2021, 01:11:58 CEST schrieb KRODER Gerhard:
</pre>
<blockquote type="cite">
<pre class="moz-quote-pre" wrap="">Hi,
this is a new 7.2 version, no previous processing/DB data, so no rebuild
others than starting face detecting/recogintion tool.
Am 16.05.2021 um 22:15 schrieb Maik Qualmann:
</pre>
<blockquote type="cite">
<pre class="moz-quote-pre" wrap="">Have you rebuilt the training database in the maintenance tool (option in
the face detection section) if you have already tagged faces with an
older digiKam version?
Maik
Am Sonntag, 16. Mai 2021, 21:16:21 CEST schrieb KRODER Gerhard:
</pre>
<blockquote type="cite">
<pre class="moz-quote-pre" wrap="">Hi,
now, some mor data....
After several runs and tagging face recogintion does not recognize any
more out of already found faces (~25k images, ~6k faces not recognized
~14k already tagged). But there are /very much faces very similar/ to
already recoginzed/tagged ones.
Is there a way for me to icrease recognition rate?
I've done some "case studies" with my data. Current settings yolo_v3,
with accuracy rate at
* 100% does not suggest any recogniton
* 95% finds one downscaled/compressed jpg (rate to 10% size=225kB, no
edits)
* 90% one more suggestion but very inaccurate/wronn
* 85% found 3 more suggestions, one a perfect match, one a fairly
reasonable, one bad
* 80% aims to recoginze/suggest some more, but with a very low
recoginition rate (17/6000), and low match rate (10/71)
As i mentioned, having lots of very similar faces assinged already, i
would assume this a poor recognition rate. (6k pics, ~20% very similar
to already tagged ones, but not found any suggestion.)
From the manual, it is suggested to remove tagged "weird" faces
(carneval or other not very clear representations), to prevent false
suggestions. But this would lead to a processing and suggestion next
run again, probably false again, wouldn't it?
Cheers, Gerhard
</pre>
</blockquote>
</blockquote>
</blockquote>
<pre class="moz-quote-pre" wrap="">
</pre>
</blockquote>
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