Case Study: Sharper Shape speeds utility inspection model training with Labelbox

How Sharper Shape built a robust ML pipeline with Labelbox and Valohai

Sharper Shape, a company that uses drones and AI for utility inspections, faced challenges with manual data labeling workflows and inefficient open-source tools that hindered their machine learning development. To build a more robust ML pipeline, they turned to the training data platform from Labelbox.

By implementing Labelbox, Sharper Shape streamlined its data annotation process, enabling efficient collaboration between internal and external labelers. This integration, complemented by the Valohai MLOps platform, automated their experiment tracking and model training. The solution from Labelbox cut labeling costs by 50% while maintaining high data quality and is expected to further reduce time and costs with model-assisted labeling, accelerating model training by over 10x.

Sharper Shape

Edward Kim

Data Analyst / AI