Automating Data Annotation With Micromodels

When it comes to AI, your model is only as good as the data it’s trained on. While it’s key to  have a human in the loop when creating and verifying training data, automating processes  within the workflow improves efficiency while guaranteeing high quality.  

ML Assisted Annotation (MAA) powered by MicroModels are used to generate pre-labeled  and human-assisted annotation. Our annotaters validate ML generated labels that are  constantly improving, instead of annotating from scratch. As a result, clients predictably get  higher quality training data in half the time to bring their models to production faster. 

We discuss: 

- Introduction to MAA powered by MicroModels 

- Predictably producing 94-98% accuracy 

- Created 2-4x efficiency improvement for applied classes annotated - Applications in automotive use cases