geospatial
Aerial Image
Annotation for
Land Cover
Classification
United States
Overview
Overview
A US-based geospatial intelligence company using AI and computer vision for land cover mapping needed to scale aerial image annotation and correct model-generated labels. Label Your Data provided specialized annotation and structured QA to improve model accuracy and accelerate deployment.
(0.81 → 0.91)
(0.75 → 0.87)
Client
A US-based geospatial intelligence company uses computer vision and machine learning to transform earth-sensor data into land cover and mapping products. Its technology processes complex visual data to generate geographic information for AI-powered mapping applications.
Challenges
Annotation bottlenecks were slowing the client’s land cover classification models on their path to production. The geospatial AI company needed a reliable partner to maintain labeling quality and delivery speed while keeping internal experts focused on R&D.
Growing annotation volumes exceeding internal capacity
High precision requirements for complex geospatial imagery
Inconsistent labels delaying model deployment
Repetitive annotation tasks diverting internal experts from R&D
Solution
Label Your Data trained the annotation team on the client’s land cover classification guidelines, using internal quality control (QC) training videos and task-based checks to reinforce annotation standards. An initial pilot batch confirmed alignment with the client’s requirements before scaling production.
37 trained annotators organized into two specialized teams
Correction and refinement of model-generated pre-labels
Structured QA reviews before client acceptance
Rolling batch deliveries throughout the year-long engagement
Accelerate Geospatial & Earth Observation
AI with Pixel-Level Annotation
Results
Label Your Data helped the geospatial intelligence company overcome training data bottlenecks through large-scale annotation correction and structured QA. The collaboration delivered measurable improvements in model accuracy and deployment speed:
Production deployment accelerated by several months
Classification accuracy improved from 0.81 to 0.91
Feature detection accuracy increased from 0.75 to 0.87
Expanded capacity for larger projects, freeing internal experts to focus on algorithms, R&D, and customer projects
Why AI Teams Choose Label Your Data
Data Annotation for Complex Environments
Rely on consistent, high-quality output for complex datasets, detailed taxonomies, and edge cases.
Structured Quality from Pilot to Production
Get quality engineered into every step through onboarding, evolving guidelines, QA, and continuous feedback.
Flexible and Scalable Operations
Adjust team capacity, project size, and delivery model as you scale, with no setup fees or long-term lock-ins.
An Integrated Delivery Partner
Align on goals, workflows, and expectations with a team that integrates into your process from day one.
Projects Led by Annotation Experts
Work with former annotators who understand annotation complexity, quality standards, and high-volume delivery.
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High-quality annotations from the Label Your Data team cut months off our deployment timeline and improved core model accuracy. Their process gave us confidence to pursue bigger projects while focusing our experts on innovation.
AI Project Manager
Geospatial AI Company
Trusted by ML Professionals
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