For the past year I have been studying and building synthetic training data with Houdini, a procedural 3D engine. It unexpectedly opens up ways to partly solve problems that come up with ordinary synthetic data generation.

The post describes all the mistakes I made, and the rules I ended up with for closing the general problems synthetic data has.

I am a solo founder from Nizhny Novgorod. This is my first attempt at a startup; my background is VFX and advertising.

I would be glad to talk to anyone who has done something similar — what came out of it for you, what metrics you got, and how you solved these problems.

This sounds very interesting. Was the gap between synthetic and real data significant? How did you deal with it? Have you tried transferring the technology to other objects?

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