https://bugs.kde.org/show_bug.cgi?id=498024
Bug ID: 498024
Summary: Face recognition becomes quickly useless with many
faces in library
Classification: Applications
Product: digikam
Version: 8.5.0
Platform: Other
OS: Linux
Status: REPORTED
Severity: normal
Priority: NOR
Component: Faces-Recognition
Assignee: [email protected]
Reporter: [email protected]
Target Milestone: ---
I'm trying face recognition (again) with version 8.5.0. Summary: it doesn't
work at all.
For years I re-try the face recognition in digikam. In the beginning it works.
But when you tagged a few thousand images it becomes very quickly useless. The
results are no better than random. You can find several descriptions by users
with the same symptom.
With the new SFace model not one face get's recognized, even with lowest
accuracy of 1. Bug?
When I switch back to OpenFace it will again recognize some faces but all
random.
I rebuild the training data - which seems to be done anyway when switching
models.
I can imagine that the training data becomes "random" in some way. One persons
face is provided in so many variants that the trained face model becomes blur?
Which results in useless results.
So maybe the recognition by itself is not the problem but a filter for good
training data is needed?
Maybe there's a bug why SFace doesn't recognize anything for me, which is
independent from bad training data.
Related bug 432537, bug 475488
I respect the effort which went into this feature over the years. On the other
hand, it was mentioned a few times how it will improve, but it didn't.
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