Face recognition - avoid messing up the data

[daj omu]

Hi,

No takers on my question on how to manage faces of bad quality. I want the
name tag, but do not want the database to become unusable.

DJ

On Sat, 7 Oct 2023 at 18:14, daj omu <dajomu1 at gmail.com> wrote:

> Yolo is probably good. Now if I have 20 really good photos for training
> the engine on a specific face and after that I add 50 bad and blurry faces,
> will that mess it up? If so, how can I avoid having the face recognition
> totally messed up after a while?
>
>
> On Sat, 7 Oct 2023 at 17:01, Gilles Caulier <caulier.gilles at gmail.com>
> wrote:
>
>> Hi,
>>
>> If you use the Yolo v3 DNN face engine, I see very good results in
>> face workflow. Look the samples listed in online documentation:
>>
>> https://docs.digikam.org/en/main_window/people_view.html#face-detection
>>
>> Best
>>
>> Gilles Caulier
>>
>> Le sam. 7 oct. 2023 à 11:41, Remco Viëtor <remco.vietor at wanadoo.fr> a
>> écrit :
>> >
>> > On samedi 7 octobre 2023 11:27:47 CEST daj omu wrote:
>> > > Hi,
>> > >
>> > > Will blurry and low quality images eventually mess up the face
>> recognition
>> > > engine?
>> > >
>> > > Dajomu
>> >
>> > There's a saying "garbage in, garbage out"...
>> >
>> >
>> >
>>
>
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