Social Distancing Prediction V2 Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Pandemic Health Compliance: Organizations could use this model to ensure adherence to social distancing guidelines within their facilities, effectively aiding in slowing the spread of diseases.
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Space Planning: Retail stores and shopping centers can utilize this model to analyze customers' behavior and adjust store layouts or flow paths to maintain optimum social distancing measures.
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Public Safety Management: Local authorities can deploy the model to monitor public spaces like parks, beaches, or streets. The model can help predict and flag crowded zones, which could aid in proactive crowd management.
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Workplace Safety: In open office environments, employers could use this model in determining whether the office layout allows for proper social distancing. It would help design safer workplace layouts or reshuffle seating arrangements.
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Event Management: Event organizers could use this model to plan seating or standing arrangements in concerts, sporting events, or conferences. It could help determine maximum safe occupancy levels and evaluate different setup options.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
social-distancing-prediction-v2_dataset,
title = { Social Distancing Prediction V2 Dataset },
type = { Open Source Dataset },
author = { University of Santo Tomas },
howpublished = { \url{ https://universe.roboflow.com/university-of-santo-tomas-htnuv/social-distancing-prediction-v2 } },
url = { https://universe.roboflow.com/university-of-santo-tomas-htnuv/social-distancing-prediction-v2 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { mar },
note = { visited on 2025-02-16 },
}