50%
“cut average cost to create the training data by as much as 50%”
As published on labelbox.com. Captured by usedby on Oct 7, 2026.
What happened
Sharper Shape uses Labelbox to create labeled training data for computer vision models that detect utility hazards in drone imagery of power infrastructure. Internal and external contributors annotate together, and the team imports its model into Labelbox for a model-assisted review loop.
Summary written by usedby from the source page, in English. The figures are those of Labelbox and SharperShape, not ours.
- 10X“sped up model training by over 10X”
Sharper Shape cut average cost to create the training data by as much as 50% while maintaining the highest-quality signal, and sped up model training by over 10X — freeing the team to focus on model building and deployment.
Before using Labelbox, we struggled with managing our training data creation infrastructure and manual experiment tracking.
What the story claims, and what we checked
We compared the story with its live page on Oct 7, 2026.
- The figure: 50%CheckedPrinted word for word on the page, near the name of SharperShape.
- The passage quoted aboveCheckedCopied word for word from the page, near the name of SharperShape.
- SharperShape uses LabelboxCheckedConfirmed line. Latest check across sources: Oct 7, 2026.
- The result itselfNot checkedWe quote it; we did not measure it.




