Carlo Dal Mutto, CTO of Aquifi, presents the “Training Data for Your CNN: What You Need and How to Get It” tutorial at the May 2019 Embedded Vision Summit.
A fundamental building block for AI development is the development of a proper training set to allow effective training of neural nets. Developing such a training set constitutes a major challenge, requiring multi-disciplinary knowledge spanning data science, computer vision, machine learning and project management.
This talk provides an outline of common workflows for developing training sets for AI applications, touching on how to start, how to leverage existing tools and labeling companies and how to assess whether the developed database is sufficiently comprehensive and capable of effectively sustaining AI algorithm development for computer vision applications.
