Products
A public catalog of MSU Wood AI models, research prototypes, and software tools—with direct trial access when each product is ready.
Model catalog
Try available research prototypes and review their intended uses, outputs, and limitations.
Select “Try this model” to open an available trial, review its limitations, and submit a supported input.
Classify an uploaded image as RO or SYP.
This research prototype analyzes one image at a time and returns the model’s predicted class and confidence scores. Its output is experimental and should be interpreted alongside domain expertise.
Capabilities
Grade an uploaded guitar veneer image as 2A, 3A, or 4A.
This research prototype analyzes one guitar veneer image at a time and returns a predicted grade with scores for 2A, 3A, and 4A. Its output is experimental and should be interpreted alongside domain expertise.
Capabilities
Estimate wood-chip moisture content from one uploaded image.
This research prototype analyzes a wood-chip image and returns a predicted moisture content percentage. Its output is an experimental model estimate, not a laboratory measurement.
Capabilities
Highlight likely tree-ring boundaries in a wood cross-section image.
This research prototype runs a generic segmentation model and returns a visual overlay of predicted tree-ring boundary pixels. It is designed for varied species and image conditions, but its output remains experimental.
Capabilities
Responsible access
Each product listing is designed to provide the context needed to use a research model thoughtfully.
Review the model’s intended use, supported inputs, and the problem it was designed to address.
Read the version, known constraints, and any guidance about appropriate interpretation of outputs.
Use the verified trial link to interact with the product, then follow its citation and feedback guidance.
Product releases
Each release can include a public demo, usage notes, documentation, version information, and a citation.