https://bugs.kde.org/show_bug.cgi?id=415599
--- Comment #6 from Alexandre Belz <alexandre.b...@live.fr> --- Hi Craig, I agree with you, haircut would probably not be a good metadata parameter. Nevertheless, we as humans can use this as a complement to distinginuish two people having the same skull. Let's take the example of real twins. If at some date (Let's say between 2005 and 2010) Jane had long hair and Mary had cut them short, a human can know that. An good NN could progressively learn, converge, and finally do better suggestions based on this. And if from 2010 to 2015 they had the opposite haircut, NN could use the "date taken" to correlate better and suggest better. The advantage with a NN is that, provided it have access to more (meta)data it can progressively learn (but it's a bit of magic/black box) the differences, it can build a better estimation model. Let's take another example: if both sisters have same haircut, and Mary only plays the piano and Jane plays the guitar, a human will be able to distinguish the two when they play at band, even if they look the same. An ideal NN should be able to learn that also. But the learning process might be long for the NN. Finally, if Jane lives in London and Mary in Paris, the GPS coordinates could help making a guess. After all, a NN is just that : making stastistical guesses. And objective metadata are more reliable and easy to learn for a "young" NN. So back to my initial topic, i think that "date taken" and probably "location" would be great to be added to the NN. Of course, it's not on Digikam shoulders, but more on DNN research team. -- You are receiving this mail because: You are watching all bug changes.
