Quality In = Quality Out

dataset analytics for image and video annotation

Integrate QA tools into every stage of the ML process to ensure high-quality data for a high-quality model.

annotation review

Annotation Review

Make quality a team effort; easily manage workflows where supervisors accept or reject annotators’ work.

Quality Analytics

Visualize per-class and per-annotator performance to effectively identify flaws and improve overall quality.

data augmentation

Augmentation

Act on your data insights. Rebalance your dataset with in-platform transformations. Don’t just annotate and analyze—take action.

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