January 2026 performance summary for open-edge-platform/geti-sdk: Delivered a Segmentation Result Format Upgrade in MaskToAnnotationConverter to adopt the new MAPI segmentation result format, enhancing object detection accuracy and annotation pipeline efficiency. The change is implemented in commit 2baa6a0d85c595969d2065e7382b5b5546120d81 (#718) and aligns the repo with the latest MAPI standards. This work lays groundwork for improved data quality and faster downstream ML workflows in the edge platform.

Open Edge Platform geti – August 2025 monthly summary highlighting key feature deliveries, major bug fixes, and overall impact. Focused on delivering business value through reliable training/config management, clearer model governance, improved job submission controls, and data hygiene investments.

Month: 2025-07 — Focused on delivering a robust configuration management overhaul for the Geti SDK, including new data models and enhanced validation. Implemented reorganized configuration structures and Pydantic-based validation for project and training configurations, resulting in a more reliable and scalable configuration system with improved data integrity.

Concise monthly summary for 2025-06 focusing on the open-edge-platform/geti-sdk changes, highlighting feature delivery and bug fixes that improve robustness and business value.

May 2025 monthly summary for open-edge-platform/geti-sdk focusing on delivering a more reliable, secure, and scalable Python package publishing workflow, with a measurable impact on release cadence and risk mitigation.

February 2025 focused on stabilizing and enriching the geti-sdk with a shift toward local inference, enhanced benchmarking/managing tooling, and security hardening. Delivered a robust set of capabilities while mitigating risks and improving developer experience, positioning the SDK for broader usage and reliability.

January 2025 monthly summary for open-edge-platform/geti-sdk. Focused on delivering stability, scalability, and simplified configuration. Key work included tiling support for OTX v2+ with standardized model information extraction, deprecation and removal of Hyperparameter Optimization (HPO) across the SDK, and a bug fix for classification label normalization to handle spaces in labels. Collectively, these efforts improve prediction accuracy, reduce configuration risk, and enable more reliable deployment across legacy and newer OTX versions.

December 2024 (Month: 2024-12) - open-edge-platform/geti-sdk: Focused bug fix to improve label ID validation in Model Configuration, delivering reliable label processing and a more stable configuration pipeline. The change prevents errors caused by empty label IDs in the results converter before sorting, improving data integrity and end-to-end reliability. Commit reference: 5ccef0d8a9ba8c81f8bda723bc743024ff95cac5.