Gfycat applies AI to the challenge of personalized animated GIFs
0Gfycat applies AI to the challenge of personalized animated GIFs.
Has artificial intelligence ever been put to a more silly human endeavor? Gfycat said it is launching Gfycat AI to apply machine learning to improve animated GIFs (the silly moving images associated with Internet memes in the graphics interchange format, or GIF) with features like better face recognition and video game character identification.
Gfycat AI has three distinct machine learning projects: Maru, Felix, and Angora. They’re all named after cats, which are an Internet obsession.
Project Maru uses facial recognition technology to identify people in a GIF. So far Project Maru has identified and tagged over 3,000 celebrity faces in Gfycat’s GIF database, with over 1.2 million GIFs tagged. Gfycat uses an open source model with an accuracy of 99.38 percent on the standard LFW (“labeled faces in the wild”) face dataset.
Above: Project Angora GIF of Zoe from League of Legends