Name: Person Detection Dataset
License: https://creativecommons.org/licenses/by/4.0/

Images

8647 images

Explore Dataset

Here are a few use cases for this project:

Office Occupancy Monitoring: This model could be used in a smart office environment to track the number of people present at a given time. This will facilitate more effective meeting room management, occupancy statistics, and safety measures.
Retail Analytics: The model could be used in physical retail stores to track customer footfall and behavior. This can provide insights into peak shopping times, store layout effectiveness, and potential security issues.
Crowd Management: During large public gatherings or events, the model can track the density of people in different areas to ensure safety and manage crowd flow.
Home Security Systems: The model can be implemented in home security systems to detect if persons are present in the house during specific time periods when it should be empty.
Assisted Living Facilities: The model could be used in assisted living or healthcare settings to ensure patients are where they should be, that they're not alone when they shouldn't be, or to monitor patient activities to ensure safety.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            person-detection-2nb8m_dataset,
                            title = { Person Detection Dataset },
                            type = { Open Source Dataset },
                            author = { GuneetKnowledgeflex PvtLtd },
                            howpublished = { \url{ https://universe.roboflow.com/guneetknowledgeflex-pvtltd/person-detection-2nb8m } },
                            url = { https://universe.roboflow.com/guneetknowledgeflex-pvtltd/person-detection-2nb8m },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jul },
                            note = { visited on 2024-04-29 },
                            }