[digiKam-users] howto improove face recognition rate?

[KRODER Gerhard]

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:
> 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:
>> 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
>
>
>