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.

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

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.

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.