https://bugs.kde.org/show_bug.cgi?id=432207
Thilo <[email protected]> changed: What |Removed |Added ---------------------------------------------------------------------------- CC| |[email protected] --- Comment #2 from Thilo <[email protected]> --- (In reply to Maik Qualmann from comment #1) > It does not work like that. We don't have a next match. You have to assign > more people first for the face engine to learn. This is not a fingerprint > comparison. > > Maik Hello, I think this is an interesting question. Labelling, that a face does not belong to a certain person is valuable information. I understand, that it is not possible to simply reject this classification result and to accept the next best match (which would work when there would be something like a "similarity" vector for a query face that gives a scalar value of similarity for every person in the database. However, wouldnt it be possible to use the end users rejection of a classification result as "negative labeling" information for a retraining, leading to an improved classification result? -- You are receiving this mail because: You are watching all bug changes.
