Face recognition - avoid messing up the data

[Helen Jelen]

Hi,

In these or similar cases I'm just tagging the picture with that person's
name, not defining any face, just the tag, so you still have that person
tagged but don't add noise to the DB.

Hope it helps!


h.


On Sat, Oct 7, 2023, 19:31 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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