495608 2024-10-30 20:10:05 +0000 Refine faces capability 2025-02-02 13:42:27 +0000 1 1 2 Applications digikam Faces-Workflow 8.5.0 Microsoft Windows Microsoft Windows RESOLVED FIXED NOR wishlist --- 0 twcunningham627 digikam-bugs-null michael_miller 8.6.0 0 oldest_to_newest 2370609 0 twcunningham627 2024-10-30 20:10:05 +0000 SUMMARY A feature to revisit faces and, for any faces that do not meet a percentage of recognizability, remove the face rectangle but retain the corresponding People tag. STEPS TO REPRODUCE 1. Scan all faces to find the best baseline for each face (algorithmically determined). 2. Scan faces again and compare to baseline. Given a predetermined setting for percentage of recognizability using the baseline, if any face falls below the percentage, remove the rectangle identifying the face, but retain the corresponding People tag for that face (the person is still in the photo, but with no recognizable face, e.g. back turned). 3. Presumably then, the percentage of recognizability for face refinement will be the same as the setting for automatic face recognition. OBSERVED RESULT EXPECTED RESULT Should only need to be run when a) the percentage of recognizability changes for automatic face recognition or b) when face tags have been used instead of People tags. SOFTWARE/OS VERSIONS Windows: macOS: (available in the Info Center app, or by running `kinfo` in a terminal window) Linux/KDE Plasma: KDE Plasma Version: KDE Frameworks Version: Qt Version: ADDITIONAL INFORMATION 2394464 1 michael_miller 2025-02-02 13:09:33 +0000 Hi Tom, We've introduced a face image quality assessment (FIQA) check in 8.6.0. FIQA checks for blurry, pixelated, and noisy faces, and removes them from being used for training, but keeps the tag and rectangle for the end user. Cheers, Mike 2394473 2 twcunningham627 2025-02-02 13:42:27 +0000 (In reply to Michael Miller from comment #1) > Hi Tom, > We've introduced a face image quality assessment (FIQA) check in 8.6.0. > FIQA checks for blurry, pixelated, and noisy faces, and removes them from > being used for training, but keeps the tag and rectangle for the end user. > > Cheers, > Mike This sounds great, Mike, thanks!