drowning detection Computer Vision Project

Zidan

Updated 8 months ago

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Description

Drowning Detection using YOLOv8

Introduction

This project, developed by Ahmad Zidan, aims to use computer vision techniques to detect drowning incidents in their early stages. The YOLOv8 (You Only Look Once version 8) model has been trained on a custom dataset which i gatherd of images to identify potential drowning individuals and prevent accidents.

Project Overview

Model Architecture: YOLOv8
Developer: Ahmad Zidan

Dataset The dataset used for training the YOLOv8 model includes a diverse set of images depicting various scenarios related to water activities. Images are labeled into two classes: "swimming" and "drowning." contact: Email: a7madzidan001@gmail.com Linkedin: www.linkedin.com/in/ahmad-zidan-165259214

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Cite This Project

LICENSE

CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            drowning-detection-e6kbk_dataset,
                            title = { drowning detection  Dataset },
                            type = { Open Source Dataset },
                            author = { Zidan },
                            howpublished = { \url{ https://universe.roboflow.com/zidan-nlsjs/drowning-detection-e6kbk } },
                            url = { https://universe.roboflow.com/zidan-nlsjs/drowning-detection-e6kbk },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { apr },
                            note = { visited on 2024-12-22 },
                            }