March 2025: DepthAI-core delivered two Python examples enabling ROI-based exposure/focus control and max-resolution still photo capture, enhancing developer onboarding and image quality for DepthAI applications.

Month: 2025-02 — Key accomplishments include the delivery of a new YOLOv8 DepthAI Instance Segmentation Demo for luxonis/oak-examples, with an end-to-end pipeline that processes color and depth streams, runs the instance segmentation model, and visualizes results using bounding boxes and segmentation masks. The feature required specific hardware and dependencies and involved updates to README and requirements files to reflect the new demo. Commit: 5ad7e0fb253c7201051a8ee77dbfb7d1dff265c0 (Added yolov8-instance-segmentation demo). No major bugs reported or fixed this month. This work enhances product value by enabling rapid prototyping and evaluation of instance segmentation on DepthAI, improving demonstrations and onboarding for developers. Strongly demonstrated capabilities in real-time vision inference, hardware-aware deployment, and documentation maintenance.

Month: 2025-01. In Luxonis depthai-core, delivered clear documentation-oriented enhancements to image manipulation capabilities while strengthening build reliability and code quality. These efforts improved evaluation visuals for demos, accelerated developer onboarding, and laid groundwork for broader ImageManipV2 workflows.

Month: 2024-11 — Focused on improving developer experience and data integrity in the supervision repo by clarifying data-type expectations for the Detections.mask attribute and aligning documentation with code behavior.