crowd_images Computer Vision Project

Pelicane

Updated 4 months ago

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Description

Here are a few use cases for this project:

  1. Crowd Monitoring and Management: The "crowd_images" model can be utilized in public events, transportation hubs, or urban areas to analyze crowd density and detect congestion, allowing authorities to optimize crowd flow and ensure public safety.

  2. Retail Analytics: Businesses can use this computer vision model to analyze customer behavior within stores, identify popular areas, and optimize store layout to improve the shopping experience and maximize sales.

  3. Smart Security Systems: The model can be integrated into security systems to detect unauthorized access, monitor restricted zones, or track suspicious behavior in public spaces, helping improve safety and security efficiency.

  4. Social Distancing Enforcement: During pandemics or public health emergencies, the "crowd_images" model can help monitor compliance with social distancing guidelines in public spaces, enabling authorities to identify crowded locations and enforce necessary measures.

  5. Emergency Response and Evacuation Planning: By recognizing people and objects, the model can be used to assess the scope and nature of incidents, identify areas requiring immediate attention, and facilitate efficient emergency response planning and evacuation procedures.

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            crowd_images_dataset,
                            title = { crowd_images Dataset },
                            type = { Open Source Dataset },
                            author = { Pelicane },
                            howpublished = { \url{ https://universe.roboflow.com/pelicane/crowd_images } },
                            url = { https://universe.roboflow.com/pelicane/crowd_images },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jul },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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