queue2 Computer Vision Project
Updated 3 years ago
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Here are a few use cases for this project:
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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.
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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.
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Social Networking: This model can find utility in social network applications to tag friends in a photos based on their poses and interactions.
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Behavioral Study: In research fields, this model can help in studying people's behavior in group settings or identifying patterns in social interactions.
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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
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 },
}