How to Build a Scalable Data Annotation Pipeline with Zastra^TM

Abstract
Poorly processed data is cited as one of the major reasons that machine learning projects fail. Your training dataset’s construction, formatting, and annotation all directly affect the model you develop. When trying to scale annotation pipelines, enterprises face substantial challenges. Read this white paper on how an active learning-based, end-to-end data curation and annotation platform – Zastra^TM – can address these challenges.