Agileview AI | Synthetic geospatial data for machine learning

AgileView generates perfectly labeled synthetic data to accelerate and enhance geospatial object detection and classification

Deploying automated object detection models is rife with challenges. Limited access to enough quality training data, long lead times, high cost, data security, and a lack of AI/ML expertise are often cited as the bottlenecks to deployment.

AgileView addresses the training bottleneck with technology and expertise crucial for intelligence data processing, imagery analysis, autonomy, automatic target recognition, and more.

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High-performing object detection models can require 10s of thousands to 1,000,000 images for training

It is estimated that 80% of the engineering time and expense in model development goes toward the training process. Procuring enough training imagery that is highly varied and annotated to reach maximum performance is often impossible.

Our platform provides varied on-demand data sets at scale that enable higher-quality detections with lower false positives. Our solutions are better, faster, and less expensive than traditional approaches.

Accuracy Through Data Diversity

Our randomization engines generate highly varied data sets resulting in more robust and resilient detection models.

Unparalleled FLEXIBILITY Users have complete control over dozens of environmental conditions and sensor parameters ensuring better performing data sets.

Web Icons_UNLIMITED ACCESS TO HIGH QUALITY DATA

UNLimited Access To High Quality Data Data is the lifeblood of AI/ML and often practitioners lack the requisite training data. Our data sets can be combined with very few real images to rapidly create highly performant detection models.

NO BIAS CHALLENGES Our synthetic data can address inherent biases in real data that can affect the performance of machine learning models.

Web Icons_PIXEL PERFECT LABELING AND ANNOTATION

Pixel Perfect Labeling and Annotation Our ground truth training data is automatically labeled and annotated supporting a broader and deeper analysis capability while reducing cost and workflow error.

Cost Effective Collecting and annotating real imagery for training can be expensive and time-consuming. AV’s on-demand synthetic data generation capability enables the cost-effective creation of limitless amounts of training data.

Customer use cases include

Automated Target Recognition

AV supports analysts with enhanced target recognition capabilities making object detection algorithms more robust resulting in higher quality detections.

ISR Sense Making

AV training data accelerates workflows pertaining to insight derivation by automating the detection and classification of objects. We amplify personnel capabilities and reduce cognitive loads through automation.

Area of Interest Monitoring

AV assists end users in monitoring infrastructure, economic zones and other areas of interest. The platform tailors training data, aids automated damage assessment, and monitors construction progress, operating status, and capacity improvements.

Mitigate Model Drift

AIML detection model performance degrades over time. AV’s synthetic data proactively counteracts reduced performance with the injection of new training data at scale.

Our Offerings

Deploy AIML object detection models in days instead of months with AgileView GeoSynth Pro

WARM STARTS

Rapidly deploy object detection models using our synthetic data generation tools while iterating with a blend of additional synthetic and real data.

RARE CASES

We address the challenge of unique/rare objects that have little or no training data available by creating synthetic data to complement as little as 10 or 20 real images.

MODEL MAINTAINENCE

Ensure performance and avoid model drift and degradation. We enable customers to maintain robust high-performing models by including varied and diverse training data on a monthly or quarterly basis.

“Airbus AI data sets that contain 90% synthetic data will produce better accuracy and more insights. This technology has incredible value for Airbus and our users”

Jeff FaudiFormer Senior Innovation Manager Machine Learning and Analytics Airbus Defense and Space Intelligence

AgileView generates perfectly labeled synthetic data to accelerate and enhance geospatial object detection and classification

High-performing object detection models can require 10s of thousands to 1,000,000 images for training

Deploy AIML object detection models in days instead of months with AgileView GeoSynth Pro

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