Quality Controls for É«»¢ÊÓƵ Data Annotation É«»¢ÊÓƵ
July 2, 2021
Get your copy today.
High-quality training data is the foundation needed to run successful AI and ML models and yet quality assurance is often an overlooked critical component of the data labeling process. É«»¢ÊÓƵ Data Annotation É«»¢ÊÓƵ (ADAP) provides highly accurate training data for every use case leveraging industry-leading quality controls.
Download the Quality Controls for É«»¢ÊÓƵ Data Annotation É«»¢ÊÓƵ data sheet to learn about the several tools we offer to help you monitor the quality of your labeled data and ensure quality at every step, including:
- Crowd Levels & Targeting
- Redundancy
- Auditing
- Monitoring, Review, & Rework