ushodaya Computer Vision Project

Zubair Ahmed

Updated 3 years ago

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Classes (6)
cleaner
client
helper
helper_2
security
staff
Description

Here are a few use cases for this project:

  1. Retail Store Environment: Ushodaya can help store managers analyze the distribution of clients, staff, and other workers in the store, allowing them to optimize store layout, monitor busy hours, and improve customer experience.

  2. Office Building Security: The model can assist security personnel by identifying different classes of individuals entering or exiting the building, helping to maintain a secure environment and quickly respond to unauthorized access.

  3. Event Management: Ushodaya can be used to track attendees, staff, and security personnel during events like conferences, exhibitions, or concerts, to better manage crowd control, delegate tasks, and ensure the safety of all participants.

  4. Performance Evaluation and Training: By recognizing the different roles of individuals in a work setting, Ushodaya can provide valuable insights for management to assess employee performance, identify areas for improvement, and organize targeted training programs.

  5. Cleaning Crew Monitoring: Ushodaya can be utilized to monitor the presence of cleaning staff at various locations, such as malls or hotels, allowing for efficient management of cleaning schedules, easy identification of unattended areas, and optimized allocation of cleaning resources.

Supervision

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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{
                            ushodaya_dataset,
                            title = { ushodaya Dataset },
                            type = { Open Source Dataset },
                            author = { Zubair Ahmed },
                            howpublished = { \url{ https://universe.roboflow.com/zubair-ahmed/ushodaya } },
                            url = { https://universe.roboflow.com/zubair-ahmed/ushodaya },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { may },
                            note = { visited on 2024-11-22 },
                            }
                        
                    

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