Building Footprints
Precise polygons for rooftops and structures, including dense urban and informal settlements.
Label satellite, aerial, and drone imagery for geospatial AI. Smart Annotahub annotates buildings, roads, land cover, and infrastructure with the geometric precision GIS and ML teams need.
Precise polygons for rooftops and structures, including dense urban and informal settlements.
Polylines for roads, rail, and paths, with connectivity and attribute labels.
Segmentation of vegetation, water, crops, bare soil, and built-up areas.
Before-and-after labeling to track construction, damage, and environmental change.
Vehicles, ships, aircraft, solar panels, and other assets in overhead imagery.
Power lines, pipelines, and towers from drone and aerial surveys.
From your first sample to production volume, every project follows the same six-step path, with no commitment until the pilot proves the quality.
We sign an NDA first, then clarify your goals, taxonomy, edge cases, and target accuracy for the geospatial imagery.
We annotate a sample of your geospatial imagery at no cost, so you can judge quality, speed, and edge-case handling first-hand.
Based on your pilot feedback, we finalize scope, timeline, pricing, and the Service Level Agreement.
We assemble a dedicated team, train it on your guidelines, and agree on communication channels and progress tracking.
Our team runs GIS annotation to the agreed plan, with throughput and accuracy KPIs tracked for every annotator.
Your georeferenced labels pass multi-stage quality review before delivery. Your feedback feeds straight back into the guidelines.
We deliver georeferenced labels that drop straight into your GIS stack and your ML pipeline.
Building, road, and land-use inventories at city scale.
Field boundaries, crop types, and crop health from multispectral imagery.
Asset mapping and vegetation management along networks.
Property attributes and post-disaster damage assessment.
Deforestation, water bodies, and coastline change.
Your platform or ours. We adapt to existing pipelines, review stages, and export schemas.
Tell us about your data and requirements. We'll return an annotated sample with a precise quote, usually within a few working days.
We’ve received your request and will be in touch soon.
Reviews
We chose Smart Annotahub for its strong value, recommendation, and shared company values. Their 10-person team delivered accurate data annotation with a flexible, collaborative approach. They responded quickly, went the extra mile to meet deadlines, and kept the project on track. We’ve been very pleased with the experience and have no improvements to suggest at this time.
The team is highly responsive and flexible, quickly adapting to our needs to keep the project on track. Clear, detailed annotation guidelines help them deliver accurate results faster.
We chose Smart Annotahub for its expertise, openness to new ideas, and strong interest in autonomous vehicles. Their team provides consistent cuboid and polygon annotation for our growing image dataset, with responsive communication, attentive project management, and reliable quality assurance. We’re very pleased with the collaboration and look forward to continuing our work together.
Accuracy targets, such as positional tolerance and class precision, are agreed per project during the pilot. Multi-stage review and spot-checks keep every production batch at or above that threshold, and each delivery includes a QA report.
Shadows, occlusions, partial structures, and unclear land-cover boundaries are logged, escalated to the project lead, and turned into written guideline updates, so every annotator applies the same rule from then on.
Yes. We can validate and correct existing vector layers, OpenStreetMap extracts, or model predictions, which is often faster and cheaper than digitizing from scratch. Coordinate systems are preserved throughout.
Most pilots start within a few days of receiving sample tiles. Production teams are typically ready shortly after guidelines and class definitions are approved.