Cinematography for Robots: Building Quality Image Datasets for ML Training

Good ML models rely on good data. Machine Learning Practice Manager, Andrew Larimer will guide you through building a high-quality dataset for training vision models.

We’ll consider:

  • Camera and compute platform selection
  • The balance between recording formats and network considerations
  • How datasets can be built iteratively over time to lower the labeling burden
    guidelines for using early versions of a model to assist in labeling additional data and more!

Vision models are a powerful tool for using the unstructured visual data of the real-world to make automated decisions, and we’ll help guide you towards training them efficiently and effectively.


Andrew Larimer Machine Learning SpringML

Andrew Larimer

Machine Learning Practice Manager, SpringML

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