With Deep Learning, Disney Sorts Through a Universe of Content

But tagging everything with the right metadata quickly presents a labor problem: even though manual tagging is an important part of the process, the DTCI Technology team doesn't have time to manually categorize every frame. That's why Farré's team has put machine learning--and more recently, deep learning--to the task of generating metadata. The goal is to build deep-learning algorithms that can automatically tag the components of a scene in a way that's consistent with the rest of the Disney knowledge base. Humans still need to approve the algorithm's tags, but the project is meaningfully reducing the work that goes into organizing the Disney library, improving the accuracy of searches within it. What's more, this progress is freeing up engineers to focus more on developing deep-learning models using AWS (Amazon Web Services).