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PicterraGeospatial Cloud-based Platform

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Turn geospatial imagery data into powerful deep learning models; Detect objects, patterns, and change faster than ever before by managing the entire geospatial ML pipeline with our cloud-native platform.

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WHY PICTERRA

 

Experience the future of machine learning with Picterra and revolutionize your data-driven workflows

Lead the way with powerful platform features & capabilities

 

By combining a no-code approach, a user-friendly interface, seamless scalability and cutting – edge machine learning technology, Picterra accelerates the development of full-scale ML projects.

Data Management

Organize, prepare, & store your data

  • Analyze and consolidate your EO imagery libraries from satellite, drone, and aerial sources in one platform.
  • Process optical RGB and multispectral imagery including false color, thermal, SAR, NIR, and height maps.
  • Upload imagery directly via the web interface or import from a local server, cloud storage, or ArcGIS Image, WMS and XYZ servers.
  • Enrich data to strengthen models with advanced GIS pre-processing and post-processing tools in just a few clicks.

OBJECT DETECTION

Autonomously create & deploy ML models at scale

With Picterra you can create a scalable system to operate geospatial machine learning models in production and continuously develop them. Create deep learning models quickly and efficiently with help of smart annotation toolkit and user friendly UI. Leverage state of the art machine learning models architecture with the ability to customize the algorithms to your specific needs and benefit from best-in-class support from our team of experts.

Access to advanced detector settings

Accelerate model creation and production deployment by relying on a thoroughly tested and optimized standard detector settings. Experiment with advanced model settings such as backbone model, training tile size, or background sampling ratio.

Auto-scaling on cloud infrastructure

Custom deep learning architecture optimized for geospatial imagery. Auto-scaling infrastructure with adjustable capacity to ensure predictable and efficient processing. Fast prototyping and large scale inference.

Detector training report

Get insights into how your model is performing, understand accuracy across multiple classes and analyze your model behavior.

Detector accuracy score

Assess performance of your model. Compute accuracy score with the help of representative accuracy areas and example regions your model will run on when deployed at scale.

Smart annotation toolkit & drawing tools

Intuitive model training toolbar that helps you structure all the steps required to create, train and deploy your custom model.

Model development & training UI

Easy to use web UI for no-code ML model training Import existing data using the API and advanced detector settings. Run your model on an entire image library with one click thanks to fully automated model production deployment.

Optimized detection areas

Draw or upload existing detection areas. Ensure fast and accurate detectors by customizing the shape and size of detection areas. Useful when monitoring linear objects (e.g., railways, roads, rivers) or AOI scattered within the imagery.

Single or multi-class detector workflows

Assign up to 10 classes in a single detector (instance & semantic segmentation). Achieve efficient and faster workflows when working with sub-classification or sub-categorization of objects within a specific class.