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What failed when I trained an object detector on synthetic images only

2 pointsby 1h agodatasint.tech
3 comments
1h agoHN ↗

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.

1h agoHN ↗

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?

1h agoHN ↗

Yes, there were a lot of different approaches, but the ones that really worked were repeating the physics and watching the small things — some extra reflection you would not think about sometimes works very well. And the other way round, a beautiful picture can work worse than an ugly but correct one.