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How Intuitive uses Labelbox

doubled

“doubled the speed at which they deliver training signal for their multiple ML models”

As published on labelbox.com. Captured by usedby on Oct 7, 2026.

What happened

Intuitive Surgical's data science team uses Labelbox to label surgical videos frame by frame for detecting and tracking instruments, with model-assisted workflows and a shared ontology across clinical and data science teams to train its computer vision models.

Summary written by usedby from the source page, in English. The figures are those of Labelbox and Intuitive, not ours.

The team scaled signal throughput, lowered the overhead of gathering performance and quality metrics, and doubled the speed at which they deliver training signal for their multiple ML models.

From the page. labelbox.com, captured Oct 7, 2026

We rely on collaborative software to help align our different teams such as our clinical teams and data science teams to ensure that we have a clearly defined ontology.

Xi Liu, Manager of ML and Data Science, Intuitive. Source, captured Oct 7, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 7, 2026.

  • The figure: doubledCheckedPrinted word for word on the page, near the name of Intuitive.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Intuitive.
  • Intuitive uses LabelboxCheckedConfirmed line. Latest check across sources: Oct 7, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

8 seconds“with active learning and model-assisted workflows, the average dropped to 8 seconds”Advent Health Partners uses Labelbox. Another customer of Labelbox50%“cut average processing times to create training data by 50%”Blue River Technology uses Labelbox. Another customer of Labelbox70%“70% improvement in time savings for generating insights from images.”Burberry uses Labelbox. Another customer of Labelbox