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The Tygron AI Suite consist of a several tools that can help when using an existing [[Neural Network]] or creating a new | 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. | |||
Revision as of 08:38, 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.