Ask HN: What vision model would you build if you had infinite data?

8 points

5 years ago

We've been building deep learning vision models in simulation, without any real labeled data... and it's working!

Have you recently worked on a vision model for which data was very difficult to source?

* Could be a rare event that happens once a week?

* Could be too difficult to get precise labels? (6D-pose, cuboids)

* Could be a budget & speed of iteration issue..

Really looking to broaden our understanding of applications beyond robotics & manufacturing.

Here is a recent example from our test bench (30 sec): https://youtu.be/D33acz5mI10

* Mask R-CNN trained on 10,000 samples from SBX Quicksynth with 3D scans from YCB Benchmarks, running on RealSense SR305 RGB channel.

* 3D scans from: https://ycbbenchmarks.com/

* Data from: https://sbxrobotics.com, built on UE4

3 comments