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Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11, YOLOv12 for ROS 2

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

AI for remote sensing, remote sense, object detection, oriented object detection, computer vision, cv

OBB implementation in python (using numpy)

SPARC is an intelligent ROS2 Humble-based pick-and-place robotic system integrating MoveIt, YOLOv8-OBB, and Isaac Sim. It enables real-time object detection, motion planning for Franka Panda and UR5 arms, and natural language control via an Ollama-powered chatbot—making robotic manipulation smart, interactive, and human-friendly.

Real-Time Oriented Object Detection Transformer in Remote Sensing Images (TGRS 2026)

Python and C++ examples that show shows how to process 3-D Lidar data by segmenting the ground plane and finding obstacles.

📡 Production-grade maritime surveillance system for detecting ships in Synthetic Aperture Radar (SAR) imagery using YOLOv8-OBB (Oriented Bounding Boxes) and Lee speckle filtering. Handles the unique challenges of radar imagery: multiplicative noise and arbitrarily-oriented vessels.

Cube Detection using YOLOv5 with Oriented Bounding Boxes (OBB)

Wrapping C++ native code in C# with example of CGAL in Grasshopper.

Some object detection codes for DOTA dataset

Repo for the OBBStacking: An Ensemble Method for Remote Sensing Object Detection

AIDet is a Code Library for Object Detection in Aerial Images Based on MMDetection.

📦 Converts horizontal bounding boxes into oriented (rotated) boxes by prompting SAM-family models with your existing HBB annotations, no re-labeling. Includes model ensembling, confidence scoring, evaluation, format conversion, and hyperparameter tuning.

YOLOv11 models for Oriented Bounding Box detection and Segmentation of Printed Circuit Boards

A guide/template for training the YOLOv8 oriented bounding boxes object detection model on custom datasets.

YOLO Oriented Bounding Box (OBB) detection on NVIDIA DeepStream 9.0

Little wheels to help better understand graphics principles.

Quaternion Approximate Networks for Enhanced Image Classification and Object Detection