College

Student Monitoring System

Object Detection

Roboflow Universe College Student Monitoring System
1

Student Monitoring System Computer Vision Project

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Explore Dataset

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.

Source

College

Last Updated

6 months ago

Project Type

Object Detection

Subject

'High Attention' or 'Low Attention'

Views: 674

Views in previous 30 days: 97

Downloads: 27

Downloads in previous 30 days: 4

License

CC BY 4.0

Classes

High Attention Low Attention