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Models

Your data. Your models.

Build AI around the images, documents, and expertise that make your business unique. Start with reviewed data and choose the model that fits your task.

Custom models

Built around your business

Choose your starting point.

Image datasets and document datasets open different paths to custom AI.

Images

Models that see your world.

Teach a model to recognize your products, components, and defects using the images and labels your team has prepared.

  • Object detection

    Private beta

    Train a YOLO model to recognize and locate objects in new images using bounding boxes.

  • Instance segmentation

    Coming soon

    Train models to identify the precise outline of each individual object.

  • Image classification

    Coming soon

    Train models to assign a category to an entire image.

Documents

Models that learn from your documents.

Bring your terminology and domain-specific examples into a language model. Reviewed document datasets are the foundation for this workflow.

  • Language model (LLM)

    Coming soon

    Fine-tune a language model with reviewed examples derived from your documents.

Start preparing your source material with OCR, text correction, and dataset versions.

Inside the training workflow

From reviewed data to a model you can use.

With object detection training, preparation, evaluation, and model download happen in the same workspace.

  1. Choose your dataset version

    Start from a saved version of your images. Use approved data and keep a stable reference for each run.

  2. Configure and train

    Set your training options and follow the progress of each run.

  3. Evaluate the results

    Inspect precision, recall, and mAP. Compare runs to understand what your changes achieved.

  4. Take your model with you

    Download model weights for your own workflow. Keep preparing data for the next iteration.

Deployment in Annota AI is coming soon.

A few practical details.

How do I get access?

Send us your use case through the model access form. Access is enabled for your organization after approval, independently of your subscription plan.

How do documents become model training data?

Start with extracted text that you have reviewed and corrected. The document model workflow will use examples derived from that material for LLM fine-tuning.

How does this relate to LLM Wiki and Brain?

Models focuses on training custom AI. LLM Wiki exports source documents and instructions for an external AI agent. Brain is the future connected knowledge and document Q&A experience in Annota AI.

What will your model do?

Tell us about your images or documents and the result you want to achieve. We'll help you identify the right path.

Request model access