The KDE-aligned digiKam photo management software is out today with its version 8.6 release. With digiKam 8.6 the open-source photo manager has been working on better enhancing its artificial intelligence (AI) integration.
The digiKam software has already been using AI for automatically detecting faces and with the v8.6 release there are improvements. The face management framework has been rewritten for better performance, reduced false positives with the face detector, and there is a new face classifier.
The digiKam 8.6 release also improves its auto-tags management for auto tagging various elements contained within images. Auto Tagging is now faster and more accurate and uses the YOLOv11 Nano, YOLOv11 XLarge, and EfficientNet B7 models.
Other improvements in digiKam 8.6 include better red eye correction, updating against the Qt 6.8.1 toolkit, and other dependency updates. There are also many fixes and other enhancements throughout.
Downloads and more details on all of the changes with digiKam 8.6 via the release announcement on digiKam.org.
