# leggedrobotics/darknet_ros

YOLO ROS: Real-Time Object Detection for ROS

Repository: https://github.com/leggedrobotics/darknet_ros
Canonical: https://ross.abutalabs.com/products/darknet_ros
Language: C++
License: BSD-3-Clause
License Family: permissive
Topics: object-detection, human-detection, deep-learning, yolo, darknet, ros, computer-vision, darknet-ros
Last push: 2024-07-19T10:36:14+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3442, "days_push": 775, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2439, forks 1201 (observed 2026-08-28T04:06:51.569097+00:00)

## What it is
A ROS package wrapping the YOLO (Darknet) real-time object detector for use in robotic systems. It subscribes to camera image topics and publishes bounding-box detections for VOC/COCO classes or custom-trained models on GPU or CPU.

## Use cases
- run YOLO object detection on a ROS camera stream
- detect people in images for a robot
- integrate real-time object detection into a ROS node
- detect COCO classes from a robot's camera
- use a custom-trained YOLO model in ROS

## When to choose
- you need real-time object detection inside a ROS/ROS2 pipeline
- you want GPU-accelerated YOLO with ROS topic integration
- you need person or COCO-class detection on a robot

## When to avoid
- you are not using ROS
- you need the latest YOLO versions (v4+ or YOLOv8-style architectures)
- you need a maintained production system - it is research code with infrequent updates

## Facets
- artifact type: library
- maturity: maintenance
- function: computer-vision, image-processing, machine-learning, deep-learning
- domain: robotics, computer-vision, machine-learning
- platform: cpp
- tags: yolo, darknet, object-detection, ros-package, real-time, linux, ros, gpu

## Member repositories
- leggedrobotics/darknet_ros (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:51.569097+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 2026-08-30T02:30:46.205679+00:00, confidence not recorded.
  - readme: https://github.com/leggedrobotics/darknet_ros (fetched 2026-08-28T04:06:51.569097+00:00, sha ce68bca957e2)
- Data as of 2026-08-30T08:39:29.467469+00:00.