dataset_yolov5 Computer Vision Project
Updated 3 years ago
Here are a few use cases for this project:
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Crowd Monitoring: The model could be used in a variety of security and crowd monitoring scenarios, such as airports or concerts, by identifying people to count the number of individuals present and monitor flows of people.
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Social Distancing Analysis: In the context of the COVID-19 pandemic, this dataset can be used to build models for assessing adherence to social distancing norms in public places like parks, shopping malls, or city streets.
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Surveillance and Security Systems: It can be used in creating surveillance systems to ensure safety in public places. The AI system can detect any unusual movements or suspicious activities among people.
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Customer Tracking in Retail: Retail stores can use the model to track customer movement, providing insights on shop floor efficacy, popular merchandise locations, or shopper behaviors for effective floor planning and sales strategies.
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Assistive Technology for the Visually Impaired: With further training, the AI model may assist the visually impaired in navigating public spaces by identifying people in the user's vicinity.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
dataset_yolov5_dataset,
title = { dataset_yolov5 Dataset },
type = { Open Source Dataset },
author = { manuel },
howpublished = { \url{ https://universe.roboflow.com/yolov5/dataset_yolov5 } },
url = { https://universe.roboflow.com/yolov5/dataset_yolov5 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2021 },
month = { nov },
note = { visited on 2024-12-19 },
}