https://bugs.kde.org/show_bug.cgi?id=427071
--- Comment #9 from Marcel <marcel+it+kde...@linux-ng.de> --- Ok, so I used latest appimage version of digikam (just to make sure there's no difference to my daily git build). Results however are not the desired ones: What's good: In both versions (appimage/daily build) I get lots of suggestions, for all kinds of identities (not only the small part tagged with digikam). What's bad: The recognition rate is round about zero. The suggestions appear random. I don't know, maybe the training based on the picasa tagging does something weird. I'll try to prepare a smaller training data set to analyze this some more. Or is there - by any chance - a data set like this available somewhere? Maybe even with "public" faces, so it's easier to reproduce such a behaviour without sending tons of private pictures? -- You are receiving this mail because: You are watching all bug changes.
