Uniform Detection Computer Vision Project

Machine Learning

Updated a year ago

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Classes (3)
College Uniform
PE Uniform
Staff Uniform

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Description

Here are a few use cases for this project:

  1. School Safety: This model can be used in school security systems to identify whether individuals on campus are students, staff, or outsiders, based on their uniform. This may assist in enhancing school safety and security.

  2. Retail Employee Tracking: For retail chains that use uniforms, the model can be utilized to monitor staff presence and activity in different sections of the store, assisting in personnel management and store operation efficiency.

  3. Workplace Compliance: In industries where specific uniforms are required for safety or hygiene reasons (such as healthcare or food preparation), this model can aid in ensuring staff compliance with uniform rules.

  4. College Campus Management: The model may be used within a smart campus system to identify different roles (students, faculty, maintenance staff, etc.) based on their uniform, aiding in campus management and security.

  5. Sports Team Analysis: The "Uniform Detection" model could also be leveraged in sports broadcasting and analysis. It can be used to differentiate teams, track player movements, and analyze games more effectively.

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            uniform-detection-gilyg_dataset,
                            title = { Uniform Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Machine Learning },
                            howpublished = { \url{ https://universe.roboflow.com/machine-learning-2cn96/uniform-detection-gilyg } },
                            url = { https://universe.roboflow.com/machine-learning-2cn96/uniform-detection-gilyg },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-11-22 },
                            }