Our core capability. We draw precise polygon boundaries around individual plants, weeds, and field features — giving your model pixel-accurate ground truth data. Polygon annotation is the gold standard for training plant detection and segmentation models where shape and boundary matter as much as location.

Built for agricultural robotics teams, agri-tech startups, and computer vision researchers who need high-quality annotated field imagery at scale. Our annotators are trained on real Dutch farm imagery and understand the visual nuances of plant disease, growth stages, overlapping canopies, and variable field lighting — the hard cases generic annotation services get wrong. Every batch is reviewed by a Senior Annotator before delivery, with an average QA score of 0.97.

Fast, scalable object detection labels. We draw precise rectangular bounding boxes around target objects in agricultural field images — ideal for detection tasks where location, presence, and count matter more than exact boundary shape.

Built for teams where speed and scale matter: plant density mapping, presence/absence classification, object counting, and coarse localisation across large image batches. We annotate to your exact specification — label taxonomy, overlap rules, and size thresholds are all configurable. Every delivery passes our multi-pass QA process before leaving our pipeline.