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add (none) category for empty predicted or true labels in multilabel vision dashboard for data characteristics #1961

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merged 1 commit into from
Feb 16, 2023

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imatiach-msft
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Description

In data characteristics panel for multilabel vision scenario, images with no predicted or ground truth labels were missing. They would not appear as an empty category. This PR adds the empty category and also tries to make it more explicit when there are no labels by using the "(none)" string so it's clearer to users.

image

Checklist

  • I have added screenshots above for all UI changes.
  • I have added e2e tests for all UI changes.
  • Documentation was updated if it was needed.

@imatiach-msft imatiach-msft merged commit 29d57ca into main Feb 16, 2023
@imatiach-msft imatiach-msft deleted the ilmat/add-none-category branch February 16, 2023 14:45
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2 participants