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How Blue River Technology uses Labelbox

50%

“cut average processing times to create training data by 50%”

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

What happened

Blue River uses Labelbox's model-assisted workflows to produce image-segmentation training data for the computer vision models behind its See & Spray weed-targeting equipment. Its model generates masks and contributors correct them, instead of labeling each image from scratch.

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

  • 70-80%“The technology's goal is to reduce herbicide use by 70-80%, one of the costliest line items in a modern farmer's budget.”

Instead of each image from scratch, Blue River's model generated masks and contributors corrected the errors — faster, and focused on the model's real problem areas: the edges and the boundary between weed and crop within contiguous segments of organic material.

From the page. labelbox.com, 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: 50%CheckedPrinted word for word on the page, near the name of Blue River Technology.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Blue River Technology.
  • Blue River Technology 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 Labelbox70%“70% improvement in time savings for generating insights from images.”Burberry uses Labelbox. Another customer of Labelbox30%+“saved an estimated 30%+ in total time, plus months of custom development work in engineering hours”Cape Analytics uses Labelbox. Another customer of Labelbox