# mgonzs13/yolo_ros

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

Repository: https://github.com/mgonzs13/yolo_ros
Canonical: https://ross.abutalabs.com/products/yolo_ros
Homepage: https://mgonzs13.github.io/yolo_ros/
Language: Python
License: GPL-3.0
License Family: copyleft
Topics: object-detection, ros2, ultralytics, yolov8, object-tracking, 3d-human-pose-estimation, 3d-object-detection, human-pose-estimation, instance-segmentation, yolov9, yolov10, obb, oriented-bounding-box, yolov11, yolov12, yoloe, yolo, yolo-world, yolo26
Last push: 2026-09-02T06:38:19+00:00

## Health v2 (maintenance only)
Score: 93/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 100, release rhythm 85, longevity 92
- inputs: {"age_days": 1289, "days_push": 0, "days_rel": 102, "gap_med": 23.5, "n_releases_24m": 15}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1131, forks 269 (observed 2026-09-03T02:15:14.965027+00:00)

## What it is
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
- artifact type: library
- maturity: active
- function: machine-learning, computer-vision, image-processing
- domain: robotics, computer-vision, deep-learning
- platform: python
- tags: yolo, object-detection, object-tracking, instance-segmentation, pose-estimation, ros2, ultralytics, linux, docker

## Member repositories
- mgonzs13/yolo_ros (main) score 93

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:14.965027+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:38:15.890576+00:00, confidence not recorded.
  - readme: https://github.com/mgonzs13/yolo_ros (fetched 2026-09-03T02:15:14.965027+00:00, sha b9839b4377af)
  - homepage: https://mgonzs13.github.io/yolo_ros/ (fetched 2026-08-29T12:42:47.940489+00:00, sha 44136fa355b3)
- Data as of 2026-08-30T08:39:29.467469+00:00.