# How Blue River Technology uses Labelbox

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

As published on [labelbox.com](https://labelbox.com/customers/BRT-customer-story/). Captured by usedby on 2026-10-07.

- Company: [Blue River Technology](https://www.usedby.ai/companies/blue-river-technology.md)
- Tool: [Labelbox](https://www.usedby.ai/tools/labelbox.md)

## What the story says

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.

> 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.

- **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.”

## What usedby checked

We compared the story with its live page on 2026-10-07.

- Checked: the figure 50% is printed word for word on the page, near the name of Blue River Technology.
- Checked: the passage quoted above is copied word for word from the page, near the name of Blue River Technology.
- Checked: Blue River Technology uses Labelbox. Confirmed line. Latest check across sources: 2026-10-07.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/blue-river-technology-labelbox · How we check: https://www.usedby.ai/methodology