What It Is
GIS Annotation at ASPL involves high-precision labeling of satellite, aerial, LiDAR, and street-level imagery to generate accurate geospatial datasets.
Our capabilities cover city mapping, road networks, semantic segmentation, infrastructure tagging, and 3D GIS annotations, enabling smarter mobility, urban planning, and asset intelligence.
We convert raw geospatial data into structured datasets that power maps, navigation systems, autonomous driving models, and digital twins.
The Problem It Solves
Enterprises relying on geospatial data often face challenges such as:
- Fragmented or inconsistent map layers
- Inaccurate road or boundary information
- Poorly segmented terrains and structures
- Low-quality annotations impacting downstream AI models
- High manual effort with no scalable workflows
High-quality GIS annotation solves these by delivering clean, reliable, and multi-layered datasets that can be used confidently across mobility, real estate, and infrastructure systems.
Key Capabilities
Aligned with the image assets you will use (Semantic Segmentation, Road Networking, City Mapping), the content is grouped into three visual-ready blocks:
- City Mapping
- Building & structure labeling
- Land parcel & zoning annotation
- Vegetation & terrain segmentation
- Multi-layered urban mapping
- Road Networking
- Road-edge polylines
- Lane boundaries, medians, curbs
- Road markings, symbols
- Surface-level defect annotation (cracks, potholes)
- Semantic Segmentation
- Pixel-level classification of terrain, structures, vegetation, water bodies
- Region and boundary extraction for HD maps
- Multi-class segmentation aligned with GIS taxonomies
Additional Capabilities
- 3D LiDAR segmentation & object labeling
- Polyline and polygon-heavy annotations
- Infrastructure element mapping (signals, poles, utilities)
- High-density frame-by-frame annotations at scale
How It Works
Your GIS workflows follow the same rigorous, automotive-grade process used across ASPL’s CV programs:
- Data Intake & Curation
Data is categorized into Simple / Medium / Complex / Corner Cases for efficient allocation.
- Annotation (Using Expert Teams + AI Assistance)
- Manual precision annotation
- Semi-automatic pre-labeling
- Multi-sensor alignment for 2D/3D datasets
- Multi-Layer Quality Checks
QC1 → QC2 → SQC with score-based feedback loops.
- Governance & Reporting
Weekly and monthly governance with dashboards, rework pattern detection, and review workflows.
- Delivery & Validation
Validated datasets, release notes, special cases flagged, and metadata summaries.
Who It’s For
Our GIS annotation solutions serve:
- Autonomous driving & ADAS teams needing HD maps, road edges, and environmental context.
- Smart city and infrastructure planners requiring accurate urban-level mapping.
- Survey & GIS companies working with satellite/aerial imagery.
- Logistics & navigation platforms needing reliable road and routing datasets.
- Rail & transportation authorities requiring track, signal, and right-of-way mapping.
Benefits
- Ultra-High Accuracy (98–99%)
Supported by multi-level QC and domain specialists.
- Scalable Workforce for Large GIS Projects
500+ annotators ramped in 3 months; 45M+ objects annotated annually.
- AI-Assisted Productivity
Pixeal-powered auto-labeling, auto-validation, and workflow acceleration.
- ISO-Certified Infrastructure
100TB secure data racks, ODC setups, VPN, ISO 9001 & 27001.
- Domain-Aligned Teams
Specialists trained through Annotation Academy for GIS, CV, and 3D data.
Use Cases
- HD Map Creation
Lane-level and object-level mapping for autonomous vehicles.
- Road & Infrastructure Analytics
Surface defect detection, condition monitoring, and maintenance planning.
- City Planning & Zoning
Region-level segmentation, building footprints, and boundary detection.
- Smart Navigation Systems
Routing, traffic flow planning, and multi-layer geospatial intelligence.
- Surveying & Terrain Assessment
Elevation, vegetation, water-body segmentation, and land-use analysis.
Why ASPL
- 45M+ objects annotated across CV, GIS, mobility, and rail datasets
- 98–99% accuracy with 95%+ productivity
- 500+ trained annotators, with rapid ramp-up capability
- ISO-certified, secure ODC delivery with VPN and dedicated project rooms
- Pixeal-powered automation for faster annotation cycles
- Deep domain knowledge across mobility, rail, manufacturing & infrastructure
- Strong governance model ensuring predictable delivery and zero-surprise quality
Looking to power autonomous mobility, smart cities, or large-scale geospatial programs?
Reach out to us to discuss your GIS dataset requirements or request a sample.
Your maps deserve accuracy — we deliver it at scale.
