Sensor Data Labeling: The Hidden Driver of Robotics Reliability

Striking the right balance between automation and human expertise allows you to efficiently scale data labeling while maintaining the quality standards required to deliver reliable, safe robotics systems—in turn accelerating deployment cycles and building customer trust in increasingly competitive automation markets.

In this e-book we’ll cover:

  • Top challenges for training computer vision model in robotics
  • When to trust AI and when human eyes are irreplaceable
  • Using a hybrid labelling approach to improve models

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