Digikam is Great Tool that and i think it is one of the first tools to support face recognition. but Numbers of photos started to be really crazy, I will reach 500,000 photos soon and we need a new way to Automagically categorize these images not only by people & places but also by things I think the next step now is to use AI & deep learning to: 1) detect things , Subjects , Scenes, and occasions 2) add tags to photos & Albums (example: http://edenphotos.io/) 3) Search for photos based on who’s in them or what’s in them, like strawberries or sunsets (examples: https://www.apple.com/lae/macos/photos/ & https://www.synology.com/en-global/beta/2017_Moments_1_0) 4) use these algorithms to make Face Recognition Even better To do so we can use a lot of open source tools & CNN like: https://github.com/beniz/deepdetect/ , specially Inception v4 & ResNet https://www.elastic.co/blog/categorizing-images-with-deep-learning-into-elasticsearch https://github.com/Microsoft/CNTK/ Thanks a lot.
Hi, With next digiKam 8.3.0 release, the auto-tags assignment feature have been implemented without using a cloud service. The processing is done in core application with delegate neural network models stored in computer. For more details about auto-tags assignment feature, look on student work report : https://community.kde.org/GSoc/2023/StatusReports/QuocHungTran#Add_Automatic_Tags_Assignment_Tools_and_Improve_Face_Recognition_Engine_for_digiKam Best regards Gilles Caulier