Introduction to Nucleus

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Welcome to the documentation for Scale Nucleus!

Explore workflows and tutorials using the side bar or search!

To interact with the Nucleus API, we recommend using our Python SDK. We have various end-to-end guides on how to use the SDK here, and also separately host our API/SDK reference.

Evaluating ML models on an aggregate level is not good enough. To improve ML models in production, you need to understand qualitative failure modes, fix them by gathering more data, and curate diverse scenarios.

Scale Nucleus helps you to:

  1. Visualize your data
  2. Curate interesting slices within your dataset
  3. Review and manage annotations
  4. Measure and debug your model performance

Nucleus is a dataset management platform that helps ML teams build better datasets. Bring your data, labels, and model predictions together to debug your models and improve your datasets.


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