Get started with the open-source toolset that allows users to develop, train, and apply machine learning models within the Tygron Platform or in their own applications.
When: May 21, 2026 from 9:30AM – 12:00AM
Location: DMI-centre
The AI suite enables analysis of area data and the application of object recognition or predictive models within projects. The AI suite thus offers an open and reproducible workflow for organizations that want to use AI applications in area analyses. Together with users of the Tygron Platform AI Suite, we will discuss the various applications and improvements to the AI Suite. You can also get started with the new functionality yourself:
- Inference Overlay for recognizing features such as trees or solar panels.
https://previewsupport.tygron.com/wiki/How_to_detect_foliage_using_an_Inference_Overlay - Create training data from Tygron or QGIS, including satellite and elevation imagery.
https://previewsupport.tygron.com/wiki/How_to_export_AI_Training_Data
How to create AI train data with QGIS
How to create AI train data with QGIS (part2)
How to export train and test data from the Tygron Platform - Preconfigured PyTorch environment for training models.
https://previewsupport.tygron.com/wiki/Train AI_model_for_Inference_Overlay
https://github.com/Tygron/tygron-ai-suite
How to train an AI model using the training data from the Tygron Platform - Support for ONNX models that can be used directly in Tygron.
https://previewsupport.tygron.com/wiki/ONNX - Ability to share trained models via GeoShare.
https://previewsupport.tygron.com/wiki/How_to_access_the_Public_Share - Improved documentation and examples based on testing at educational institutions and engineering firms.
https://previewsupport.tygron.com/wiki/AI_Suite
