Start here

What you can do with Lutrio

Lutrio is Otterview’s workspace for preparing visual data, reviewing annotations, and organizing CV and VLM training and evaluation. A project keeps the data and model work for one task together.

Start with a small dataset you are allowed to use. Define the object classes or questions, inspect the labels, publish a training version, and then configure a training run when compute is available.

Follow the workflow

1. Sign in and choose a language.
2. Create a project for your task.
3. Import and inspect your data.
4. Annotate, review and publish a version.
5. Configure training.
6. Evaluate and handle model outputs.

Read this before running a job

A visible feature does not guarantee that compute, a compatible model or account permission is configured. Check the task’s readiness information before submitting it. AI annotation and generated images need human checks; they do not establish label accuracy.

These guides cover the hosted service at app.otterview.ai. Private installations can expose different controls. See service availability for the scope of this edition.

Need help?

Read troubleshooting or email [email protected]. Share the page, task ID and error message. Keep passwords, access tokens and private training samples out of support messages.