Yolo-Person-Detection
Overview
This repository contains multiple Python scripts utilizing the YOLO model for various real-time object detection and pose estimation tasks, including fall detection and general object recognition.
The scripts here use the YOLO model from the Ultralytics library for detecting objects and poses in video feeds, primarily via webcam. YOLO (You Only Look Once) is an advanced, high-speed object detection model, making it suitable for real-time applications.
From the project’s README on GitHub.
At a glance
| Repository | Kentucky-Open-Science/Yolo-Person-Detection |
|---|---|
| Research area | Computer vision |
| Primary language | Python |
| License | None specified |
| Stars / forks | 0 / 0 |
| Open issues and pull requests | 2 |
| Created | 2024-11-06 |
| Last push | 2025-12-18 |
| Default branch | main |
| Topics | object-detection |
What the README covers
Top contributors
- @BernardZach (32 commits)
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Get the code
git clone https://github.com/Kentucky-Open-Science/Yolo-Person-Detection.git