https://bugs.kde.org/show_bug.cgi?id=497491
--- Comment #17 from Michael Miller <michael_mil...@msn.com> --- (In reply to Michael Miller from comment #16) > (In reply to tab from comment #15) > > Created attachment 176819 [details] > > Result after new Training > > Hi TAB, > Thanks for the screenshot. The face recognition engine accuracy isn't 100%, > and sometimes it gets the guess wrong. Based on the screenshot you shared, > these errors, while unfortunate, are not outside the margin of error. I > recommend you tag the incorrectly suggested faces with the proper name. The > face classifier in 8.5.0 is about 95% accurate, which means is will give a > wrong guess 5 out of 100 times. Can you give me more details about your > library, and how many faces have been correctly matched? > > The classifier in 8.6.0 is over 97% accurate. Other programs can be more > accurate, but they mostly use cloud-based extraction and matching algorithms > in order to achieve acceptable performance. The digiKam developers value > your privacy, which is why all processing happens on your computer, and no > data is ever shared or sent to a cloud service. > > We will always strive to make digiKam better, and we hope you understand the > challenges of trying to keep all processing local to your computer. > > Cheers, > Mike Hi TAB, Can you please try again with the latest daily build? We've added a face image quality assesment (FIQA) to the "rebuild all training" option in maintenance and when confirming a new face. FIQA filters out blurry, noisy, and pixelated faces from being used for training, which should help increase recognition accuracy. Cheers, Mike -- You are receiving this mail because: You are watching all bug changes.
