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.
Covered Modules in This Walkthrough
Each section of the video corresponds to a core module in TytonAI. Click the links below for detailed technical documentation for each module:
Module | Description | Skip to |
---|---|---|
1. Upload Imagery | Upload and manage geospatial image data. | 0:40 |
2. Study Areas | Define boundaries to clip and analyse imagery. | 2:27 |
3. Class List | Set up classification categories with colour mapping. | 2:56 |
4. Accuracy Points | Draw or import training polygons to guide AI learning. | 3:38 |
5. Training Data | Add and score points to measure classification accuracy. | 4:26 |
6. Train Model | Train the classification model using your labelled data. | 9:52 |
7. Classify Imagery | Apply the model to generate classification results. | 11:29 |
8. Analysis | Perform vegetation cover, plant health, and erosion analysis. | 13:39 |
9. Reports | Generate and export visual and tabular reports. | 14:16 |
Suggested Use
This video is ideal for:
- New users onboarding to TytonAI
- Team training sessions
- Internal feature demonstrations
- QA test case walkthroughs
For best results, follow the steps in the video while referring to the individual module documentation linked above.
Need Support?
For questions or advanced troubleshooting, contact the support team at support@tytonai.com or consult the in-app support portal.