The iMerit workforce extracts intelligence from unstructured data, enabling precision agriculture and smart farming technologies to help farmers predict yield, reduce water usage, protect crops and automate farm operations.
With built-in ML models for crops, weeds, and grass classification and detection and human-in-the-loop (HiTL) teams, iMerit’s data annotation solution for precision agriculture improves performance of applications like Smart Spraying.
"Well-managed team, hits predictable timelines, good quality work, easy to scale team up and down. iMerit helps us produce our products faster."
CTO - Geospatial intelligence company focused on property risk and valuation
Expert annotators plot points on each vertex of the target object, regardless of shape. For instance, they outline boundaries of fruits to power growth progress detection.
iMerit Computer Vision experts use rectangular box annotation to localize entities including produce for crop monitoring and pests and weeds to prevent and control crop diseases.
iMerit experts perform pixel-perfect semantic segmentation of crops and weeds sourced from proximal RGB and NDVI imagery to power smart farming technologies.
Annotation on 3D images is performed by the iMerit team to create an elevation map of farmlands and assist use cases like land segmentation and soil analysis.
iMerit’s workforce performs path planning, also known as motion planning, to let autonomous agriculture tractors find the most optimal path between two points.
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Trained Data Labelers and QA Experts
MM
Agricultural Images Labeled
%
Accuracy in Plant Semantic Segmentation
The need for speed in high-quality data annotation has never been greater. iMerit combines the best of predictive and automated annotation technology with world-class data annotation and subject matter experts to deliver the data you need to get to production, fast.
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