https://bugs.kde.org/show_bug.cgi?id=431797
Bug ID: 431797
Summary: Face recognition <1% despite extensive training data
of up to 300 occasions of faces
Product: digikam
Version: 7.0.0
Platform: Other
OS: Other
Status: REPORTED
Severity: normal
Priority: NOR
Component: Faces-Recognition
Assignee: digikam-bugs-n...@kde.org
Reporter: chrisp...@gmx.net
Target Milestone: ---
SUMMARY
Face recognition delivers lousy results, i.e. correct proposals <1%.
Furthermore, the proposals are predominantly persons, which I have only one
confirmed picture for in the training set, while people with >100 manually
confirmed pictures are never recognized. I don't understand, why this can
happen at all, as documentation says: "Note: To be able to recognize a new face
automatically, a minimum of 4 similar faces tagged in different images need to
be previously trained using manual face management workflow." I find this a
very senseful restriction, but unfortunately it doesn't seem to apply to my
version of digiKam. I already tried "Clear and rebuild all training data" with
no improvement. What can I do?
STEPS TO REPRODUCE
1. People view
2. Face detection
3. Face recognition (Face accuracy 70, training done with manual face
recognition for approx 100 different persons in approx. 1000 pictures)
4. Scan collection for faces
OBSERVED RESULT
Literally none of the proposals is correct. Proposed people are pre-dominantly
"exotic" ones, which occured on only one picture in the training data
EXPECTED RESULT
At least correct proposals for people, which I had >100 occasions for in the
training data
SOFTWARE/OS VERSIONS
Windows: Windows 10
ADDITIONAL INFORMATION
I apologize, if this is not a real bug. Is there a forum for digiKam users?
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