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Note that digiKam is unique among open-source and multi-platform photo galleries to feature full support for face regions (including imported face tags from other software) – as always digiKam saves your efforts into formats that will be readable by other software and the data stays safely embedded in each image file.Īutomatic face detection module in DigiKam is working and being actively developed. (If you do have parent tags selected in addition to a sub-tag, it is not a real problem either - just a bit of redundant data in the files)įace or People tags are excellent to show not only who is in the picture but also which one out of all those wedding guests is that person you are looking for. Therefore the default setting for Toggle Auto → None is very good even for hierarchical tags. If you have correct metadata settings, digiKam will still correctly write the whole hierarchical structure into file metadata. If you select a sub-tag in the tag tree (see 'City Name 1' in the screenshot above) it is redundant to also tick a box in front of the parent tags such as 'Country 2' and '- Location'. + There are more tools such as “Adjust Time & Date” – see the menus and keyboard shortcuts.

The main metadata tools Tags (descriptive tags):Ĭtrl + Alt + 0 … Ctrl + Alt + 9 (re-configurable)į2 (if you have RAW files, be careful renaming only JPG files) In the current version of digiKam (7.2+) it can be a little bit complicated to find all the metadata tools and toolbars, but thankfully there are excellent keyboard shortcuts that will both help you find all the necessary toolbars and also make entering information very efficient if you choose to remember the shortcuts.

#Manual update wiki reader windows#

See the 'Setup of digiKam for Windows compatibility' tutorial for more details! It is worth understanding what exactly is digiKam reading from files, saving to files and which files are supported. The default metadata related settings in digiKam may not be optimal for your use-case. Note that digiKam also includes some similarity search tools and other clever algorithms which will evolve in the future to provide more value and easier search in your private photo collection.

#Manual update wiki reader manual#

Still, you can decide yourself how much manual tagging is worth it and what can be guessed by an algorithm. Recently machine learning 'AI' algorithms are doing more and more photo classification fully automatically, without any manual Tagging needed. When you are ready to try adding some tags, continue with this tutorial on How-to do it. On the other extreme metadata can get almost scientific with rules, data models and words like “Digital Asset Management”.

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Perhaps you will see an existing Tag hierarchy in your digiKam that was built based on Tags that were found in the images that you already have (those tags may come from your relative, friend or even some software and you are free to use those tags as an example or build your own system). Working with Tags can be as simple as marking the location, who is in the picture and giving 4-5 stars to really nice pictures.

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Plus remember that you already have photo date, folder name where the photos are located (which is hopefully meaningful) and possibly even geographical coordinates embedded in your image files even before you start adding any tags. All of this needs to be worth it – add data that you will realistically want to search and filter your collection on. In addition, you can mark specific regions on the picture as “Face tags”, add descriptive text, rating from 1 to 5 stars and some more metadata types. Tags in your photo collection work the same as #hashtags on the Internet – they help you to find all your images that belong to the same category that you provided: locations, names of people, events (birthday, national day…) or anything that is meaningful to you (for example pictures that contain Lego your 2nd car sunsets etc.).

4.3 ”The batch-click way” method for quicker taggingĭigiKam is an excellent tool to enrich a private photo collection by use of Tags and other metadata that can be written right inside the image files so the information you add follows the image file and will not get lost if you change computers or software (alternatively digiKam can save metadata in 'sidecar' helper files next to your videos or read-only image files).

3.7 Author, copyrights and other Metadata.

3.3 Comments, Captions Description and Title.

1 What is Tagging and why do you want it.