unwanted behavior detection Computer Vision Project
Updated 24 days ago
Metrics
The unwanted behavior detection: The unwanted behavior detection model is designed to identify and flag behaviors in aquatic environments that pose risks or are deemed inappropriate, such as running or fighting. This model uses computer vision techniques to monitor and analyze movements and interactions around water bodies, enhancing safety measures and intervention capabilities.
Project Overview
Model Architecture: coco Developer: Ahmad Zidan Dataset The dataset used for training the coco model includes a diverse set of images depicting various scenarios related to water activities. Images are labeled into two classes: "wanted" and "unwated." contact: Email: a7madzidan001@gmail.com Linkedin: www.linkedin.com/in/ahmad-zidan-165259214
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
unwanted-behavior-detection_dataset,
title = { unwanted behavior detection Dataset },
type = { Open Source Dataset },
author = { AI lifeguard },
howpublished = { \url{ https://universe.roboflow.com/ai-lifeguard-6qzmf/unwanted-behavior-detection } },
url = { https://universe.roboflow.com/ai-lifeguard-6qzmf/unwanted-behavior-detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { aug },
note = { visited on 2024-09-22 },
}