Questions about face recognition, training, and tagging

[Tom Cunningham]

This is for digiKam 8.6.0 under Windows 11.


  1.  When face recognition or training is happening, will digiKam write a face region to the metadata if the face has already been manually tagged? In other words, will it duplicate an existing tag and region?
  2.  I manually tag heads rather than faces, e.g. the rectangle I draw around someone might contain a face, a blurred face, a slightly obscured face, or the back of someone's head. Can the training algorithm distinguish among these and use only reliable data? Does the Face Image Quality Assessment cull instances like these? If it doesn't or can't, do I need to move these tagged instances to the Ignored category?
  3.  Is there a setting where the training algorithm will only train within the range of clear full-frontal to profile faces (e.g. not partially obscured, blurred, etc.)?
  4.  In a previous face recognition run where the accuracy was set to 7, the algorithm detected many unrecognized faces. For the most part, it put these in the Unknown category. However, for one particular face it claimed recognition of previously tagged faces that weren't even close to the face in question. Is this because the training data for that particular face was wonky? Is there a way to retrain for a single person/face?
  5.  What happens if I set the face detection and recognition accuracy to 100%? Will it recognize anything?

Thanks for any help you can provide.

Take care,

Tom

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