Building Footprints
Rooftop and structure polygons for mapping and population estimates.
Data Annotation for Geospatial AI
Turn satellite, aerial, and drone imagery into georeferenced training data. Smart Annotahub labels buildings, roads, land cover, and assets for mapping and earth-observation models.
AI Use Cases We Support in Geospatial
Road Networks
Connected road and path polylines with attributes.
Land Cover
Vegetation, water, crops, and built-up area segmentation.
Change Detection
Before-and-after labels for construction, disasters, and deforestation.
Asset Detection
Vehicles, ships, solar panels, and infrastructure from above.
Agriculture Monitoring
Field boundaries and crop types from multispectral imagery.
Annotation Services for Geospatial
The data types geospatial teams send us most often. Every service starts with a free pilot.
How We Deliver Your Project
From your first sample to production volume, every project follows the same six-step path, with no commitment until the pilot proves the quality.
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Step 01
NDA and Discovery
We sign an NDA first, then clarify your goals, taxonomy, edge cases, and target accuracy for your dataset.
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Step 02
Free Pilot
We annotate a sample of your data at no cost, so you can judge quality, speed, and edge-case handling first-hand.
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Step 03
Proposal and Agreement
Based on your pilot feedback, we finalize scope, timeline, pricing, and the Service Level Agreement.
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Step 04
Team Setup and Training
We assemble a dedicated team, train it on your guidelines, and agree on communication channels and progress tracking.
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Step 05
Production Labeling
Our team runs annotation to the agreed plan, with throughput and accuracy KPIs tracked for every annotator.
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Step 06
QA and Delivery
Your labeled data pass multi-stage quality review before delivery. Your feedback feeds straight back into the guidelines.
Why AI Teams Choose Smart Annotahub
Reviews
From our Clients
“Their flexibility and ability to move fast impress us.”
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.
Project Manager
“They’re always willing to adapt quickly to our needs and help keep the project on track.”
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.
Director
“Communication with the team is smooth, clear, and effortless.”
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.
Director of Engineering
Start with a free pilot
Tell us about your data and requirements. We'll return an annotated sample with a precise quote, usually within a few working days.
Thank you.
We’ve received your request and will be in touch soon.
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Geospatial FAQs
Do you keep labels georeferenced?
Yes. Coordinate systems are preserved and labels are exported to GeoJSON, Shapefile, or your required format.
Can you work with multispectral imagery?
Yes. Guidelines are adapted to the bands available, and annotators are trained on how features appear in each.
How do you handle very large scenes?
Scenes are tiled with overlap and merged after QA so polygons stay continuous across tile edges.
Can you validate existing map layers?
Yes. Correcting existing layers or model outputs is often faster and cheaper than digitizing from scratch.