GIS Annotation Services

GIS Annotation

Expert satellite and aerial imagery annotation for geospatial AI — land use, road networks, and change detection at continental scale.

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Featured case study
Raw Aerial Imagery (Frame 1)
AI Annotated Imagery (Frame 2)
Frame 1: Raw Aerial Imagery
7.5cm Sub-Meter Resolution
Boundary Precision: 99.4%
Aerial & Urban Parcel GIS
2-Frame Fast Scan

Sub-Meter Neighborhood & Urban Parcel Delineation

Trusted by leading brands

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Your data problem
has a human solution.

ML Engineers

Time-consuming annotation workflows delay model training.Need scalable tools for large geospatial datasets.

Data Scientists

Struggle with accuracy in complex geospatial data.Require a balance between automation and manual input.

GIS Experts

Face challenges with multi-layered data labeling.Deal with integration issues with GIS systems and data formats.

Dataset Providers

Require precise annotations for client-ready GIS datasets.Need efficient workflows to meet deadlines.

Our Annotation Services for GIS & Satellite Imagery

In the area of GIS annotation services, we work with all major geospatial data formats and resolutions. Our global team can expertly deliver the following satellite data annotation services (but we are always open to your custom projects):

Land Use and Land Cover Classification — Polygon Annotation

Gain accurate land use insights with annotated data.

Polygon Annotation
Polygon Annotation
Auto Shift

Gain accurate land use insights with annotated data.

A Futureproofed Pipeline

We exist for a future where geospatial AI models are trained on expertly annotated, globally consistent satellite and aerial data.

Step 1

Free Pilot

Step 2

QA Review

Step 3

Proposal

Step 4

Start Labeling

Step 5

Delivery

Estimate Your Costs for ML projects

1 Pick application field

Computer Vision

2 Select annotation method

Keypoints

3 Specify how many objects to label

Amount
objects
SmallMediumLarge
STARTUPBUSINESSLow UsageHeavy Usage Data ProcessingLabel BaseQA

4 Check the approximate total cost

Estimated Cost:$0 /total

5 Run free pilot

Engai · Project planning

Request your free pilot

Set a quantity from 1 to 1,000,000 in the calculator, then request a pilot with your estimate.

Why Projects Choose Engai for GIS Annotation

96%
Geo-Accuracy
4x
Faster Delivery
20%
Cost Reduction

Expert GIS Specialists

Our annotators are trained in geospatial analysis, satellite interpretation, and GIS software — not generic image labelers.

Topology-Validated Output

Every polygon layer is validated for geometric consistency, topological errors, and class boundary continuity.

Multi-Format Delivery

GeoJSON, Shapefile, GeoTIFF, KML — we deliver in your CRS and projection system, ready for GIS workflows.

Safe and secure

Your trust is our foundation. Engai is designed with a deep commitment to data privacy and security.

AICPASOC2
★ GDPR ★
INFORMATION SECURITY
ISO
27001

Start Free Piloting your ML project !

fill up this form to send your pilot request

Discover how Engai's Data Pipeline and AI Infrastructure platform can make your organization AI-ready:

  • Automatically discover and map all datasets with contextualized inventory

  • Effortlessly manage ML lifecycle and address governance gaps

  • Drastically reduce deployment time by mitigating edge-case risks

  • Immediately detect and respond to model drift to minimize threat impact

  • Proactively apply zero-trust protection mechanisms for proprietary data

Live Infrastructure Telemetry

1.2BData Points
189Models
24Pipelines
3Alerts
TypeOriginOwnerStatus
Vision ModelGitHubDave DigsterHealthy
DatasetAWS S3Emily ThompsonSyncing
DeploymentGCPRobert BrownActive

Zero-Trust Dataset Confidentiality

Your requirements and proprietary sample assets are encrypted in transit and never used for public model training.

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Support Center

Frequently Asked Questions

We work with imagery from all major providers: Maxar, Planet Labs, Airbus, Sentinel-2, Landsat, NAIP, and custom drone captures. We support all standard resolutions from 30cm to 10m pixel GSD, and our annotators are trained to calibrate their precision requirements based on the imagery resolution.