Arcturus Networks


Object Detection


MOT20-02-final Computer Vision Project


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Explore Dataset

Here are a few use cases for this project:

  1. Pedestrian Flow Analysis: The model could be used in places like shopping malls or large office buildings to analyze and understand pedestrian flow. It can help identify peak hours, most frequented areas, and help increase the efficiency of layout planning.

  2. Crowd Management: During large public events or in heavily crowded places, this model can assist in crowd management and control by identifying pedestrian density and movement patterns.

  3. Surveillance and Security: The model can be utilized for surveillance purposes in public areas. It can detect unattended objects, irregular movement patterns or identify individuals in certain zones, potentially aiding in mitigating risks.

  4. Smart City Planning: City planners can use the data generated to help create more pedestrian-friendly urban landscapes, understand usage of public spaces, and to plan infrastructure development.

  5. Retail Store Management: Retail businesses can use the model to analyze customer movement within their stores. This can help in appropriately positioning products, setting up advertisements, and optimizing the store layout for better customer experiences.

Cite this Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ mot20-02-final_dataset,
    title = { MOT20-02-final Dataset },
    type = { Open Source Dataset },
    author = { Arcturus Networks },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { mar },
    note = { visited on 2023-12-09 },

Find utilities and guides to help you start using the MOT20-02-final project in your project.

Last Updated

9 months ago

Project Type

Object Detection



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