Data-centric AI: The Winning Combination of Human-in-the-loop Real-World Data and Synthetic Data for Edge Cases


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.


Peter is VP of Engineering at Mindtech. Peter has many years of experience in semiconductors, with expertise in AI, GPU and VR/AR. Working at companies including Highwai, Imagination Technologies and ST. Peter has also been highly active in Khronos, including chairing the NNEF working group.

Open Data Science




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