PhotoShelter Unveils AI Visual Search Capability Eliminating Need for Metadata -- Campus Technology

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PhotoShelter Unveils AI Visual Search Capability Eliminating Need for Metadata

By Kristal Kuykendall
08/13/23

Digital asset management platform PhotoShelter has unveiled a new feature called AI Visual Search, giving brand subscribers the ability to search their entire brand library based on visual descriptions and eliminating the need to manually add metadata to images, according to a news release.

Manually searching DAM platforms for the right visual asset can take hours, particularly for larger organizations whose brand library may contain hundreds of thousands of visual assets. PhotoShelter said 40% of the content on its servers had no metadata.

“Even the most advanced content organizations struggle to set up and maintain a comprehensive metadata strategy,” PhotoShelter said. “It would take an estimated 200 days to manually tag every image uploaded to PhotoShelter each month, and metadata-less search eliminates this incredible time-consuming challenge.”

AI Visual Search uses language and image recognition to “intelligently match” search terms to visual qualities, according to the announcement.

“What was once a manual, difficult and time-consuming task is now a prime use case for leveraging AI to maximize efficiencies and bring better content to market,” said CEO Andrew Fingerman. “And the results are breathtaking – it’s like every conceivable keyword and caption has been applied automatically to our customers’ images.”

PhotoShelter noted that it recently launched a formal Ethics Board to routinely consider the ethics of its AI usage, improve training models, and remove any unconscious bias. “The company will also be aligning closely with the Content Authenticity Initiative to track source images and determine if AI has been used in their creation to monitor and get ahead of disinformation and authorship issues,” PhotoShelter said.

AI Visual Search joins several other AI-based PhotoShelter solutions addressing the challenges of tagging visual assets with metadata:

ObjectID automatically creates metadata tags for images based on the objects in them, for example “football” or “X-ray.” BrandID, PeopleID, and RosterID tag people, player rosters, and brands such as a NFL team, a high school baseball player, or a coach or other face familiar among the subscriber’s asset library.

Learn more at Brands.PhotoShelter.com.

About the Author

Kristal Kuykendall is editor, 1105 Media Education Group. She can be reached at [email protected].

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