Release Notes
Geti evolution continues with version 2.13, bringing enhanced AI capabilities, improved collaboration options, and smarter workflows to help you scale computer vision projects faster and more efficiently.
Summary of major features and improvements
- Model Fine-Tuning Support on Intel® Core™ Ultra (Series 2): Geti now supports computer vision model fine-tuning on Intel® Core™ Ultra (Series 2) processors with integrated GPU (iGPU).
- New SOTA Detection Algorithm – DEIM: Introducing DEIM-DETR with Dense One-to-One Matching, delivering significant accuracy gains, especially for small object detection (+1.5 AP vs. D-FINE-X). Geti now supports DEIM as the latest state-of-the-art model for object detection tasks.
- Configurable Data Augmentation for All Tasks: Gain full control over how your training data is augmented. Users can now configure augmentation parameters across all tasks enhancing both control and model robustness.
- Support for Annotation Shapes with Holes: Users can now mark regions inside annotations as holes for semantic segmentation tasks. This functionality will help users to better understand the inferred object shape and dimensions, for example as part of manufacturing use cases or medical imaging.
- Multiple Workspaces Support: Users can now separate teams within a single Geti instance using multiple workspaces, ensuring data governance and privacy while sharing the same compute resources. Flexible, role-based access control is now available not only at the organization and project levels, but also at the workspace level.
- Selective Model Export: Reduce project export size and export time by choosing which models to include in your project archive. Export all models, only the latest active one, or none — depending on your needs.
- Additional Hotkey for Faster Annotation: In case of images that do not contain any regions of interest, users can now mark those with a single click as "No Object" (object detection) or "Empty" (segmentation) using a dedicated hotkey to further accelerate data annotation.
Known issues
- If you are installing Geti on a system with Arrow Lake CPU and no discrete GPU, you will face an issue described here. Follow the workaround from the ticket to be able to fine tune your models.
Download this release
Installer
Download installer.
Container Images and Helm charts
Container images and Helm charts are available at ghcr.io/open-edge-platform/geti/*
Source code for open source components, provided as required by license.