AI Suite: Difference between revisions

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* Then import the [[ONNX]] back into the [[software]] an run it in an Inference Overlay.
* Then import the [[ONNX]] back into the [[software]] an run it in an Inference Overlay.
* Finally validate the results on a different project and iterate back to a previous step if needed.
* Finally validate the results on a different project and iterate back to a previous step if needed.
==Apply a model==
* When you have created your own model or by selecting an existing [[ONNX]] file you can apply it to other projects using the [[Inference Overlay]].

Revision as of 08:39, 15 October 2025

The Tygron AI Suite consist of a several tools that can help when using an existing Neural Network in an Inference Overlay or when creating a new one.

Steps for creating you own model

In order to create your own AI model based on a Neural Network you have to follow these steps.

  • Start with a definition of which objects you want to detect. For example trees, cars, solar panels, etc.
  • Now create one or more projects (with a good variation) and manually create your training data by creating areas containing outlining these objects. See this how to how this can be done in QGIS.
  • Devide these objects in two group a TRAIN and TEST dataset that can be exported. See thi manual.
  • After exporting follow these steps to train your Neural Network resulting in a ONNX file.
  • Then import the ONNX back into the software an run it in an Inference Overlay.
  • Finally validate the results on a different project and iterate back to a previous step if needed.

Apply a model

  • When you have created your own model or by selecting an existing ONNX file you can apply it to other projects using the Inference Overlay.