Case Study: EyeEm cuts image keywording time by 50% with Mobius Labs

Computer Vision AI Helps EyeEm Cut Image Keywording Time by 50%

EyeEm, a leading photography marketplace and community in Germany, needed to improve the accuracy and speed of its photo and video tagging while also identifying content with higher commercial potential. The company processes thousands of images every day, and it turned to Mobius Labs and its Superhuman Vision computer vision SDK to help classify and keyword community photos and videos more effectively.

Mobius Labs deployed its SDK on EyeEm’s own systems to automate tagging, facial recognition, new concept classification, and real-time video analysis. The result was faster and more accurate keywording, with average tagging time dropping from 2.67 seconds per photo to 1.35 seconds — a 50% reduction — while also improving keyword precision, discoverability, and the ability to surface more commercially valuable content.

EyeEm

Ramzi Rizk

Chief Technology Officer