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.
Presenters
Andrew Larimer
Machine Learning Practice Manager, SpringML
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