yolov8-seg

Python library for YOLO small object detection and instance segmentation

Converting COCO annotation (CVAT) to annotation for YOLO-seg (instance segmentation) and YOLO-obb (oriented bounding box detection)

This developed algorithm transforms mask labels used in previous segmentation tasks into a format compatible with YOLO's label requirements. As a result, pre-prepared datasets can be used with YOLO-like detection-focused architectures.

Infer yolov8-seg models from Ultralytics with ONNXRuntime (no torch required)

CV model deployment toolkit: export → infer → eval, across ONNX Runtime, TensorRT, and Triton.

Safety-gated edge-AI agricultural robot on Intel DK-2500 with OpenVINO, ROS 2/CAN, Qwen and SQLite auditability.

Multi-Object Detection in Imagery using Computer Vision and Machine Learning - College Mini Project 2