fyp-18 Object Detection Dataset and Pre-Trained Model by allians

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Explore Dataset

Here are a few use cases for this project:

Classroom Management: The "fyp-18" model could be used to automate attendance tracking in classrooms or educational institutions. By recognizing and identifying heads in classroom imagery, it could be utilized to determine the count of students present in a classroom at any given time.
Security Surveillance: This model can be employed for enhancing security measures in commercial or public spaces. Identify heads effectively in crowded scenes could lead to better crowd management and detecting unusual activity.
Social Distancing Compliance: Amid the current COVID-19 pandemic situation, the model could be used to monitor and enforce social distancing rules in various spaces such as supermarkets, public transportation, or workplaces.
Behavioral Analysis: By identifying heads in a workspace setting, the model could be used to observe and analyze employee behavior during working hours, contributing to a richer understanding of employee engagement, productivity, and workflow.
Auto-Tagging in Social Media: The model could be used in social networking platforms to auto-detect and tag individuals in group photographs by precisely identifying heads.

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{
                            fyp-18_dataset,
                            title = { fyp-18 Dataset },
                            type = { Open Source Dataset },
                            author = { allians },
                            howpublished = { \url{ https://universe.roboflow.com/allians/fyp-18 } },
                            url = { https://universe.roboflow.com/allians/fyp-18 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jun },
                            note = { visited on 2024-07-01 },
                            }