[digiKam-users] Face Recognition Workflow

[Rhys Tyers]

I thought I'd bring this up again in case anyone has made any progress with
it. It seems inevitable that as you tag more photos with faces that there
will be poor quality photos in there. What is the intended behaviour here?

On Wed, 18 Aug 2021 at 18:33, Travis Kelley <rhatguy at gmail.com> wrote:

> I'll plus one this issue.  I have the same problem, where it seems that
> the more you tag faces the worst the algorithms get.  As Rhys mentioned,
> not sure if the answer is to mark faces as bad or whether it would be
> better to be be able to somehow specify which faces to use for training.
> Perhaps there is a programmatic way to detect the quality of tagged faces
> and select the "best" images for training?  I believe there is a limit of
> something like the last ~100 tagged faces used for training today right?
>
> On Wed, Aug 18, 2021 at 1:27 PM Rhys Tyers <rhystyers1 at gmail.com> wrote:
>
>> Hello,
>>
>> What is the correct way to train the face detection model when many of
>> the faces are poor quality images?
>>
>> I have tens of thousands of photos which include hundreds of people many
>> hundreds of times each. Many of their faces in these photos are quite poor
>> quality (obscured, dark, far away).
>>
>> When I start recognition it is often quite poor but once I have a few
>> high quality faces in the model it seems to work fairly well. However as I
>> accept more of the poor quality faces I find the recognition gets worse (I
>> assume because dark, far way, poor quality faces look very similar). People
>> for whom I've tagged a lot of poor quality images just start getting any
>> face suggested for them.
>>
>> What is the intended workflow? The application prompts you to accept
>> recognised faces as face tags (and then they will get used in the
>> training), so that's what I've been doing.
>>
>> But then there is this in the manual:* In case of unsatisfying results
>> it might be helpful to use Clear and rebuild all training data. One reason
>> can be that there are too many face tags assigned to a person which shows
>> this person in a way that doesn't really help the search algorithm, e.g.
>> with sunglasses, blurred, unusual colors, carnival make up, dark shaded
>> areas in the face, baby/kid/adult photographs mixed.*
>>
>> So that implies that I should only add high quality faces to the face
>> tags and perhaps tag poor quality ones differently? Is there some way to
>> mark a face as "poor quality" so it is not used for training?
>>
>> Thanks for any help.
>>
>> Rhys
>>
>
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