📄️ 0. Create a Project
Overview
📄️ 1. Imagery
This guide provides step-by-step instructions on how to deploy your imagery in TytonAI, upload imagery files, and configure imagery settings for analysis.
📄️ 2. Study Areas
This guide provides step-by-step instructions on how to create a study area in TytonAI.
📄️ 3. Class List
This guide provides step-by-step instructions on how to create a class list in TytonAI.
📄️ 4. Accuracy Points
Accuracy assessment points are essential for validating your vegetation classification. These points serve as "ground truth" data that help train and evaluate the model's performance.
🗃️ 5. Training Data
3 items
📄️ 6. Train Model
Training your model process uses machine learning to teach the model to recognize different vegetation types based on your ground-truth points.
📄️ 7. Classify
After creating your assessment points and training data, you're ready classify your Imagery. The classification process uses your AI model to recognize different vegetation types based on your ground-truth points.
📄️ 8/9. Analysis & Report
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📄️ Full Walkthrough
Watch the complete video above to see how each basic feature of TytonAI works in sequence—from imagery upload to generating final reports. This end-to-end run-through is designed to familiarise users with the getting started.
📄️ Congratulations on Completing the Getting Started Guide!
You’ve successfully completed the Getting Started with TytonAI tutorial!