Quality In = Quality Out
Integrate QA tools into every stage of the ML process to ensure high-quality data for a high-quality model.
Make quality a team effort; easily manage workflows where supervisors accept or reject annotators’ work.
Visualize per-class and per-annotator performance to effectively identify flaws and improve overall quality.
Most platforms can scale quantity but, by merging annotation sets from different sources, the consensus tool lets Innotescus scale quality.
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The industry insights that fuel our desire to create the best-in-class machine learning annotation platform.
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