We write your reusable computer vision tools. 💜

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)

OBB implementation in python (using numpy)

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

Some object detection codes for DOTA dataset

Cube Detection using YOLOv5 with Oriented Bounding Boxes (OBB)

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

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

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

Little wheels to help better understand graphics principles.

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

Aircraft Recognition using YOLO-OBB: A deep learning model for detecting and classifying aircraft using oriented bounding boxes. The project includes dataset preprocessing, annotation conversion, model training, validation, and inference using YOLO-OBB.

A Greenfoot template that enhances collision detection using convex hulls and the Separating Axis Theorem, optimized with an efficient hybrid approach.

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

YOLOv8 Oriented Bounding Boxes tester

Quaternion Approximate Networks for Enhanced Image Classification and Object Detection

📦 HBB2OBB is a Python library for converting horizontal (axis-aligned) bounding boxes to oriented (rotated) bounding boxes using SAM-based segmentation. Includes tools for visualization, evaluation, format conversion, and hyperparameter tuning.