PhotoShelter Unveils AI Visual Search Capability Eliminating Need for Metadata

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].


Featured

  • geometric grid of colorful faculty silhouettes using laptops

    Top 3 Faculty Uses of Gen AI

    A new report from Anthropic provides insights into how higher education faculty are using generative AI, both in and out of the classroom.

  • interconnected gears and cogs

    Integration Brings Anthropic Claude AI Models to Microsoft Copilot

    Microsoft has added Anthropic's Claude artificial intelligence models to its Microsoft 365 Copilot platform, giving enterprise users another option beyond OpenAI's models for powering workplace AI experiences.

  • server racks, a human head with a microchip, data pipes, cloud storage, and analytical symbols

    OpenAI, Oracle Expand AI Infrastructure Partnership

    OpenAI and Oracle have announced they will develop an additional 4.5 gigawatts of data center capacity, expanding their artificial intelligence infrastructure partnership as part of the Stargate Project, a joint venture among OpenAI, Oracle, and Japan's SoftBank Group that aims to deploy 10 gigawatts of computing capacity over four years.

  • cloud connected to a quantum processor with digital circuit lines and quantum symbols

    Columbia Engineering Researchers Develop Cloud-Style Virtualization for Quantum Computing

    Columbia Engineering's HyperQ system introduces cloud-style virtualization to quantum computing, allowing multiple users to run programs simultaneously on a single machine. Learn how it works, why it matters, and highlights from other recent quantum breakthroughs from leading institutions and vendors.