Roboflow Universe Assiut University Head Detection

Head Detection Computer Vision Project

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Here are a few use cases for this project:

Classroom Attendance Management: This model can be used in smart classrooms to automatically count and track the number of students present in the class via head detection.
Crowd Management & Surveillance: The model can aid in crowd analysis, understanding people movement and managing crowd density in public places such as malls, stadiums, or airports.
Video Conferencing Applications: It can be used in video conferencing platforms to detect the number of heads in a frame to improve video framing or automated focus adjustment.
Driver Monitoring Systems: The "Head Detection" model can be used in vehicles for detecting if the driver's head is pointed in a safe direction, aiding in driver safety applications.
Retail Analytics: Retail stores can use this model to keep track of customer movement and quantity, helping with queue management, staffing decisions, and customer experience improvements.

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{
                            head-detection-t4zes_dataset,
                            title = { Head Detection  Dataset },
                            type = { Open Source Dataset },
                            author = { Assiut University },
                            howpublished = { \url{ https://universe.roboflow.com/assiut-university/head-detection-t4zes } },
                            url = { https://universe.roboflow.com/assiut-university/head-detection-t4zes },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-04-27 },
                            }