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Aim Integration #134

@tamohannes

Description

@tamohannes

🚀 Feature

Integration with Aim.
It would be great to have an easy way of tracking metadata on Aim.

Motivation

To enhance experiment reproducibility and provide a unified, aesthetically pleasing user interface for exploring samples and their corresponding segmentations, it is desirable to furnish users with a solid tool. Aim facilitates gaining deeper insights, thus enhancing the quality of experimentation.

Pitch

  • Retrieve metadata of the model, dataset, and annotation from a given segment predictor instance.
    • Store fields such as image_info , annotation, model, etc.
  • Store the metadata in Aim run
  • Display stored metadata in run page on Aim UI.

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