TargetModeler
Synthetic Data Generation for
Electro-Optical/Infrared (EO/IR) Vision Models
Generate balanced, labeled EO/IR datasets in minutes. No cloud. No manual tagging.
Why TargetModeler?
Real-world imagery is slow, expensive, and misses edge cases. TargetModeler delivers controlled, repeatable synthetic datasets so models improve without waiting on field collection.
Thousands of images in minutes
Mission-realistic EO/IR sets in under 10 minutes.
Auto-labeled at scale
Boxes, polygons, masks, key points, 3D cuboids.
Balanced by design
Control class ratios, poses, backgrounds, and sensor effects.
No code required
Operators and engineers build and export directly.
Physics-based rendering
Controllable, repeatable, defensible results.
Capabilities
Edge cases on demand
Occlusion, low light, glare, clutter, small objects, look-alikes.
Match operational sensors
EO/IR, SAR, noise, blur, compression, optics limits.
Auto-label with QA
Rich annotations and quality reports with every dataset.
Rebalance without rebuilding
Adjust ratios and hard negatives instantly.
Export anywhere
COCO, YOLO, MMDet, or custom schemas.
The stack
Scene Builder
Drag-and-drop assets, terrains, routes, behaviors, injects.
Sensor Forge
Physics-based EO/IR/SAR with savable presets.
Label Engine
Auto-annotation with QA reports.
Label Engine
Auto-annotation with QA reports.
Label Engine
Auto-annotation with QA reports.
Why teams trust It?
Documented gains
Reduced false positives and stronger detection before live evaluation.
Repeatable by design
Same inputs, same outputs, measurable improvement.
Secure Deployment
On-prem, air-gapped, no internet required.
Operational impact
Accelerated iteration
Drive model updates between live collections.
Hard-condition performance
Improve results in night, glare, clutter, and small-target scenarios.
Automated labeling
Shift annotation from manual tools to automated workflows.
Repeatable campaigns
Replace ad hoc field collection with planned synthetic runs.
use cases
Defense
ATR/ISR targets, look-alike discrimination, EW-degraded conditions.
Public Safety & Critical Infrastructure
Perimeter, substation, pipeline scenarios.
Industrial
Yard logistics, warehouse detection, defect inspection.
Platform OEMs & Integrators
Customer-specific datasets for training and acceptance.
Workflow
Pricing & deployment
On-prem install. Optional cloud-assist. Start with one project, scale as needed.
Program impact at a glance
< 10 minutes
to generate an initial 1,000 labeled images in a typical configuration
Manual labeling time
reduced significantly through automatic annotation
Edge-case coverage expanded
across conditions such as night, glare, clutter, and small targets
FAQs
Yes, CAD models and terrain can be brought in and tagged once for reuse.
Yes. Full label export.
Yes. No code, presets included.
COCO, YOLO, MMDet, custom.