Welcome to Xylorix Documentation
Welcome to the Xylorix documentation hub. This site covers everything you need to know about the Xylorix wood identification AI system — from using our mobile apps to understanding AI model performance metrics.
Xylorix is a flagship product suite specialized in developing and providing automated wood identification systems through the application of state-of-the-art artificial intelligence (AI) and machine learning (ML) technologies.
User Guides
Step-by-step guides for each Xylorix app and hardware product:
| Guide | Description |
|---|---|
| Xylorix Inspector | Identify and verify wood species with our flagship mobile app |
| Xylorix Harvester | Collect and organize wood image data for model training |
| Xylorix Insider | Evaluate trained model performance systematically |
| Xylorix Verifier | Verify and quality-check collected wood images |
| WIDK-24X01 | Set up and use the Xylorix Wood Identification Kit hardware |
| Xylorix PocketWood | Browse 500+ wood species with macroscopic reference images |
Toolkit
| Guide | Description |
|---|---|
| Insider Toolkit | Interpret model performance metrics, ROC/PR curves, and threshold settings |
Models
| Guide | Description |
|---|---|
| Model Guide | Learn what Xylorix AI models are and how they work |
| Model Album Guide | Understand model albums, subscriptions, and the model store |
Getting Started
New to Xylorix? Here's the recommended reading order:
- Model Guide — understand what AI models are
- Inspector User Guide — start identifying wood immediately
- WIDK-24X01 Manual — set up your hardware kit
For model building and training workflows:
- Harvester User Guide — collect training images
- Verifier User Guide — verify image quality
- Insider User Guide — run evaluation tests
- Insider Toolkit Guide — interpret results
Contact & Support
If you have any issues or questions, reach out to us at info@xylorix.com or visit www.xylorix.com.