mgonzs13/yolo_ros

Health v2 · maintenance only

Adoption not part of the score

1131 stars · 269 forks observed · 2026-09-03

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A ROS 2 wrapper for Ultralytics YOLO models (YOLOv8 through YOLO26) providing object detection, tracking, instance segmentation, human pose estimation, and oriented bounding boxes, including 3D variants using depth images. It is written in Python and distributed with Docker images for ROS 2 distributions like Humble.

Use cases

• run YOLO object detection in ROS 2
• track objects with YOLO in a robotics project
• instance segmentation on ROS 2 image topics
• human pose estimation from camera feeds in ROS 2
• 3D object detection using depth images
• oriented bounding box detection for drones or robots

When to choose

• you need state-of-the-art YOLO models integrated into a ROS 2 pipeline
• you want detection, segmentation, tracking, and pose estimation from a single package
• you need 3D detections from RGB-D cameras

When to avoid

• you are not using ROS 2
• you need a standalone detector without robotics middleware
• you require a permissive license (GPL-3.0)

Facets

library · maturity active

machine-learning computer-vision image-processing robotics computer-vision deep-learning python yolo object-detection object-tracking instance-segmentation pose-estimation ros2 ultralytics linux docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="mgonzs13/yolo_ros")