service / MENA · AFRICA
Annotation built around the decision the model must learn.
Turn raw inputs into structured supervision with explicit labels, edge-case rules, reviewer calibration and measurable acceptance.
01Taxonomy
Define labels with examples and boundaries.
A label is useful only when reviewers can distinguish it from neighboring cases.
Use cases
- Object and action labels
- Temporal segmentation
- Text classification
- Audio and transcript review
Typical deliverables
- Annotation guide
- Labeled dataset
- Adjudication record
- Quality report
- Versioned export