Geospatial Annotations

Label the world with high-precision annotation

GIS / geospatial-native data annotation and feature extraction for mapping companies, mobile-mapping primes, and infrastructure teams — with the spatial accuracy generic labeling services can't deliver.

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Where generic annotation services fall short

Annotators label objects but miss spatial relationships — proximity, orientation, and geographic context
Coordinate-referenced labels require GIS expertise most labeling teams don't have
Inconsistent labeling creates noisy training data that compounds into model failures in production

What we deliver

Road Infrastructure Labeling

Pavement, striping, lanes, boundaries, and surface condition labels — tied to real geography with QA trails.

Asset Geolocation

Signs, signals, poles, utilities, streetlights — bounding boxes, segmentation masks, and point labels with coordinate accuracy.

Imagery Workflows

Roadway, street-level, and LiDAR imagery converted into QA-reviewed features your mapping/AI/asset teams can use immediately.

GIS-Aware QA

Spatial validation, coordinate-accuracy checks, and asset classification QA against authoritative GIS databases.

Schema-Ready Exports

Deliveries in QGIS, ArcGIS, GeoJSON, COCO, KITTI, Mapillary — whatever your pipeline ingests.

See an infrastructure extraction demo

Live demo of feature extraction from street-level and aerial imagery with QA-reviewed output.

View Live Demo →

2-4 day pilot turnaround with 98%+ QA target before scaling to full volume

24/7 follow-the-sun annotation capacity for production pipelines

CVAT, Labelbox, Roboflow, and custom pipelines — operated by Geospatial Solutions LLC, Washington, DC