Accelerating Computer Vision Training with Synthetic Data

Data is a big barrier for machine learning training. Real world data not only has to be collected but it also has to be hand labeled and annotated before it can be used for Computer Vision training. Data Scientists and ML engineers spend 70% of the time on this mundane task. Synthetic data is a great alternative as it is machine generated data that comes pre-labeled and annotated . Unity Computer Vision lets you generate synthetic data at scale for your computer vision projects.

Links to other 4 sessions:

  1. Create XR content 10x faster with WEAVR + Unity
  2. Hand Tracking and Mid-Air Haptics: From Prototype to Product
  3. Hand-tracking in XR for Industrial Applications
  4. Let’s get Physical!
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Hand-tracking in XR for Industrial Applications
Hand-tracking in XR for Industrial Applications

Extended reality (XR) is already transforming industry - from training, to immersive collaborative review, ...

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