Together, we’re building the future of computer vision and machine learning.
In this whitepaper, we prove that synthetic data works even without complicated domain adaptation techniques in a wide variety of practical applications. We consider three specific problems, all related to human faces, show that synthetic data works for all three, and draw some other interesting and important conclusions.
“…our field must tap into rich sources of synthetic and real data. Sergey Nikolenko’s book lucidly surveys the state of the art in the former, and I consider it required reading for any researcher using deep learning based methods.”
As with all synthetic data, there’s a shift from our domain to the one captured by real cameras. Although there’s no universal domain adaptation approach for every use-case, we stand on the shoulders of giants to get great results.
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