3 ms·
What failed when I trained an object detector on synthetic images only
- stepangalickov 1mo agoFor 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.
- mybroooooooo 1mo agoThis 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?
- deleted 1mo ago[deleted]
- stepangalickov 1mo agoYes, 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.
- deleted 1mo ago[deleted]
- deleted 1mo ago[deleted]
- xamakada 1mo ago[dead]
- flipworth_623 1mo ago[flagged]