Person Counter Object Detection Dataset and Pre-Trained Model by Tkbees

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Explore Dataset

Here are a few use cases for this project:

Retail Analytics: Store owners can use the model to track the number of customers visiting their stores during different times of the day or seasons, which can help in workforce and resource allocation.
Crowd Management: Event organizers or public authorities can utilize the model to monitor crowd sizes at concerts, festivals, public gatherings or protests, aiding in security and emergency planning.
Smart Transportation: The model can be integrated into public transit systems to count the number of passengers in buses or trains, providing real-time occupancy information and assisting in transportation planning.
Health and Safety Compliance: During times of pandemics or emergencies, the model can be used to count the number of people in a location, ensuring compliance with restrictions on gathering sizes.
Building Security: The model can be adopted in security systems to track how many people enter and leave a building or a particular area, providing useful data for access control.

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{
                            person-counter-tq0wf_dataset,
                            title = { Person Counter Dataset },
                            type = { Open Source Dataset },
                            author = { Tkbees },
                            howpublished = { \url{ https://universe.roboflow.com/tkbees-ogrtd/person-counter-tq0wf } },
                            url = { https://universe.roboflow.com/tkbees-ogrtd/person-counter-tq0wf },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-05-15 },
                            }