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Auto Annotation Overview

Auto Annotation streamlines the labeling process on Foundry by leveraging state-of-the-art models, significantly reducing manual effort and potential for human error.

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Manual Annotation Challenges

We identified several challenges in manual annotation:
  • Laborious and monotonous task execution
  • Higher potential for human error
  • Increased number of Issues during review stage —> Time-consuming correction processes
  • Reduced annotation efficiency at scale
These challenges become particularly significant when dealing with thousands of frames, making automated assistance essential for maintaining both speed and quality.

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Our Solution

You can now:
  • Create a completely auto-labelled job OR
  • Autolabel specific frames right on the Canvas using the new Agent tool
Both approaches leverage classical machine learning methods and state-of-the-art models (Grounding Dino, Grounding SAM) and provide an intuitive interface for annotation review and adjustment.
Ready to start using Auto Annotation? Check out our guides on Autolabel Job Creation and Canvas Agent to begin.