Abstract: A case study of efficiently solving a real-world computer vision problem using a combination of labelled real-world data and synthetic data, combining the strengths of each data type. It considers best practices for combining the datasets and showcases the benefits of a platform approach using Appen's platform for real world sourcing and labelling and the Mindtech Chameleon platform to generate the synthetic data.
Bio: Aaron is our Director of Solutions Engineering at Appen. He works closely with the Sales and Solutions teams to manage Fortune 500 deals through the pipeline. Aaron has lived in 7 cities around the world and is a geek at heart. He loves solving problems, breaking new technologies and identifying opportunities where technology can have a real impact on how we get things done.