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Lima Labs — Agri-Tech Computer Vision
Overview & Architecture
Trained agricultural computer vision models through granular annotation of high-value crops (avocados, flowers), improving disease detection algorithms and yield prediction accuracy.
Key Deliverables & Outcomes
- ▪High-precision polygon and semantic segmentation datasets
- ▪Crop disease detection and yield forecasting pipelines
- ▪Consistently high QA acceptance across production annotation sprints