https://bugs.kde.org/show_bug.cgi?id=425263
--- Comment #5 from Michael Miller <michael_mil...@msn.com> --- YuNet is much more accurate at detecting a blurred face. SFace is also more accurate at matching pixelated or blurred faces. I believe the issue is significantly improved by moving to the new models. I addition to using the new models, I'm also exploring using a quality metric like eDifFIQA to limit the training data. I think it's a good idea, too. Further testing an analysis is needed on YuNet and SFace to determine if limiting the training data is required. Cheers, Mike -- You are receiving this mail because: You are watching all bug changes.
