queue2 Computer Vision Project

Artem

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Description

Here are a few use cases for this project:

  1. Sentiment Analysis: The "queue2" model can be used to detect engagement and emotional expressions between people in a given setting. For instance, in scenarios like a business meeting or a social gathering, understanding expressions and body language may provide valuable insights.

  2. Safety Monitoring: The model can be utilized in safety systems such as CCTV monitoring, where identifying people’s interactions in a specific space can help to ensure public safety.

  3. Social Networking: This model can find utility in social network applications to tag friends in a photos based on their poses and interactions.

  4. Behavioral Study: In research fields, this model can help in studying people's behavior in group settings or identifying patterns in social interactions.

  5. Customer Experience Management: In retail or event settings, businesses can use this model for managing crowd, measuring customer satisfaction levels or improvising on customer experiences.

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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{
                            queue2_dataset,
                            title = { queue2 Dataset },
                            type = { Open Source Dataset },
                            author = { Artem },
                            howpublished = { \url{ https://universe.roboflow.com/artem-uqcva/queue2 } },
                            url = { https://universe.roboflow.com/artem-uqcva/queue2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2021 },
                            month = { nov },
                            note = { visited on 2024-11-24 },
                            }
                        
                    

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