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QA Process & Statistics

Trainingset.AI has a useful QA system in its infrastructure, this will allow users to layer large batches of tasks without losing track and having a good training management

When the annotator finishes solving the task, an initial state QA Pending will appear, waiting for a member with role QA to make a review

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Dashboard > Annotation Tasks > Task (Focus on QA Status)

Once the member of the QA team makes the review, he can take Accept the task and thus it will be in READY status;

Or on the contrary, Reject and give feedback to the annotator to solve it correctly

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Dashboard > Annotation Tasks > Task (Rejecting)

The Annotator will be able to see the QA revisions reflected from the Annotation Tool in use

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Segmentation Tool > QA history