https://bugs.kde.org/show_bug.cgi?id=475488
--- Comment #6 from gessel <ges...@blackrosetech.com> --- I'd suggest verifying that face detection and face recognition are well matched. The issue is that face detection recognizes "faces" or face-like features fairly aggressively, especially in low-light/low resolution/low contrast modes while face recognition, understandably and completely consistent with human recognition, needs some measure of clarity to reliably assign the detected face to some specific recognized, unique tag. Humans are the same: this isn't a problem with automated recognition but with our human expectations of it. Humans are great at detecting a face-like feature looking at them, even at oblique angles, low light, high noise situations but actually accurately recognizing the face is a whole 'nother story. With this algo, we're not so much concerned with "is there a face-like structure in the image" than "this (tag) is in the picture." That means a very conservative face detected but not conclusively recognized modality. We may be well served by a "face detected but not recognized or even recognizable" tool, but the current UI assumes that a detected face can be reliably recognized and so this should be true. -DAvid -- You are receiving this mail because: You are watching all bug changes.
