Case Study: Sharper Shape cuts training data costs and speeds model training with Labelbox

Sharper Shape cuts training data costs by 50% with Labelbox

Sharper Shape builds technology for utility infrastructure inspection using drones and computer vision. Their challenge was managing heavily manual workflows and open-source tools for creating training data, which lacked the necessary configuration and support to meet their needs. They turned to Labelbox Annotate to streamline their annotation pipeline.

Labelbox provided a centralized environment where Sharper Shape could connect raw data via an API and collaborate with contributors. By implementing a model-assisted feedback loop, they significantly reduced manual labeling effort. As a result, Labelbox helped Sharper Shape cut the average cost to create training data by up to 50% and sped up model training by over 10x.

Sharper Shape