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Student Monitoring System Computer Vision Project
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The goal of this project is to use the YOLOv8 object detection model to monitor student attention in a classroom. The dataset will consist of two classes: High Attention and Low Attention. By analyzing the percentage of students Attention in each class, we can determine how well the teacher is teaching the class
Trained Model API
This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
student-monitoring-system_dataset,
title = { Student Monitoring System Dataset },
type = { Open Source Dataset },
author = { College },
howpublished = { \url{ https://universe.roboflow.com/college-vlzv7/student-monitoring-system } },
url = { https://universe.roboflow.com/college-vlzv7/student-monitoring-system },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { nov },
note = { visited on 2024-05-11 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Student Monitoring System project in your project.
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