Case Study: Sensor-as-a-Service Company (SSC) achieves improved model accuracy and scalable data labeling with CloudFactory

Improving model results with quality data annotation

Sensor-as-a-Service Company, a California-based retail machine learning startup, struggled to get reliable annotated sensor imagery after unsuccessful attempts with contractors, crowdsourcing vendors, and in-house tagging. They engaged CloudFactory and its Computer Vision Managed Workforce to deliver consistent, contextual labeling that their ML application required.

CloudFactory deployed a managed, locally coordinated workforce and project management so labelers could be trained, ask clarifying questions, and handle nuanced cases; the team ramped up quickly and sustained high throughput. Sensor-as-a-Service Company ran a full production cycle of CloudFactory-labeled data through its model, reporting “much, much better” results and improved model accuracy, lower cost and operational burden, and confidence in scaling future use cases.