Artificial Intelligence (AI) has been on top of everyone’s mind for the last couple of years – will it improve our lives, or will robots be soon taking over? However, for DAM users it is hard to ignore the benefits of the image recognition (or more accurately – object recognition) and automatic image tagging technology in digital asset management. The most time-consuming (and – important) process in managing your digital assets is tagging your images with accurate metadata so they can be easily searched for and found.
What is Image Recognition?
According to Clarifai, one of the providers of this technology, Image Recognition “refers to a computer vision’s ability to identify the dominant subject in an image and apply the relevant “concept” or “tag”. This could be objects, places, people, words, and even actions.”
Simply said, image recognition picks out the central object in an image that the camera was focusing on.
What are the benefits?
- Improved search results – with improved metadata quantity and quality by automatic object recognition and tagging, your search will be a breeze
- Increased efficiency – the content is automatically uploaded with metadata, saving thousands of hours of manual work and frustration
- Focus on core strengths – with the labour-intensive manual tagging out of the way, you team can now focus on their core strengths.
How does it work?
Select one or more assets from your collection, hit Run Auto-Tagging in your tool box.
The tags are generated. Review, edit or delete tags.
And you’re done.
For years customers have been asking if there is an easier way to add metadata to assets. AI has been around for years, however only now we believe the technology has finally reached the level of functionality to be useful in digital asset management. Would you like to save time and money? Learn more about this affordable technology and what can it do for you and your asset library. Contact databasics at firstname.lastname@example.org or call 1300 886 238.