Track the right metrics to optimize your data annotation operation and demonstrate ROI to stakeholders.
Key Data Labeling Metrics
- Throughput - Annotations per hour per annotator (varies by task complexity)
- Quality Score - Accuracy vs. gold standard or reviewer correction rate
- Cost per Annotation - Total cost (labor + tools) divided by completed annotations
- Turnaround Time - Time from data upload to completed, reviewed annotations
- Rework Rate - Percentage of annotations requiring correction
Setting Realistic Targets
Balance speed and quality in your annotation KPIs. Pushing for faster throughput often degrades accuracy. Start with quality baselines, then optimize for efficiency.
Pro Tip: TigerLabel's analytics dashboard tracks all these metrics automatically. Set up alerts for quality drops or throughput anomalies.