Field-grade image annotation for agriculture AI.
From drone and rover imagery to in-row cameras, your models are only as good as the labels behind them. Labelix runs dedicated, in-office annotation pods that label crops, weeds, fruit, disease and terrain — consistently, at the volume agritech demands.
- Independent & neutral
- In-office · NDA-bound
- Live in ~3 weeks
- Never crowdsourced
The annotation your models actually need.
The bottleneck isn't the model. It's the labels behind it.
Every new crop, region or season resets accuracy — and needs a fresh labeled set, fast.
Agronomy labels demand consistency across millions of frames a generalist crowd can't hold.
Your field imagery is proprietary — it shouldn't be scattered across anonymous gig workers.
A dedicated team — not a crowd you can't see.
Autonomous weeding & harvesting robots · crop-health & scouting platforms · yield estimation · precision-spray systems.
A dedicated pod, live in ~3 weeks
We recruit and train a dedicated, in-office team for your domain and ramp it under daily QA — not a rotating, anonymous crowd. A small paid pilot proves quality before you scale.
Independent & data-firewalled
No Big-Tech owner, no conflicted incumbent. Your data is handled by vetted staff under signed NDAs in a controlled, access-controlled environment — never farmed out.
Consistency that compounds
The same retained team learns your taxonomy and edge cases, so each new product line, region, template or language is a re-train — not a restart.
Questions, answered straight.
Still have one? Tell us about your data and we'll scope a small paid pilot.
Drone, satellite, rover and in-row camera imagery — for crop and weed classification, segmentation, fruit and plant counting, disease and stress detection, and row/terrain segmentation. We work in 2D image and video and scope each project to your taxonomy.
Put a dedicated agritech computer vision pod on your data.
Start with a small paid pilot — see the quality before you scale. Independent, in-office, and live in about three weeks.