Object Detection

dataset_yolov5 Computer Vision Project


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Here are a few use cases for this project:

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

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 2023-12-09 },

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Last Updated

2 years ago

Project Type

Object Detection



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Public Domain