Case Study: AEDIT achieves 5x faster labeled data and 6% higher model accuracy with SuperAnnotate

AEDIT boosts model accuracy by 6% with SuperAnnotate

AEDIT, a company that provides technology and resources for the aesthetic medical journey, needed a complete computer vision platform to perform facial detection and gain direct oversight over annotation quality and project progress. They sought high-quality outsourced annotations and turned to SuperAnnotate's end-to-end platform to meet this challenge.

SuperAnnotate provided its platform with robust tooling and annotation services, which AEDIT integrated into its MLOps pipeline to automate its data training processes. This integration allowed AEDIT to reduce its annotation cycle time by nearly 80%, from months to days. Furthermore, by using SuperAnnotate's software and services, AEDIT was able to increase its model accuracy by 6%.

AEDIT