3.25 20min Computer Vision Project

uou

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Description

Here are a few use cases for this project:

  1. Classroom Management: This model can support tracking of necessary items within a classroom setting such as identifying if all students have brought their laptops, bags, etc. for specific classes. It could also be useful for identifying unattended bags or other misplaced items for security and organization purposes.

  2. Retail Store Optimization: In a retail store context, this model can help track customer behavior, such as identifying what kind of items (smartphone, wallet, bag) they usually have with them while shopping and accordingly optimizing store layout or strategies.

  3. Personal Belongings Tracking: Applications can use the model to help users identify and keep an inventory of personal belongings like laptops, wallets, and phones in crowded environments like cafeterias, public transport, etc.

  4. Office Space Management: The model can be utilized in an office off-hours to track equipment left outside secure storage, minimizing theft risk or mistakenly taken items, ensuring employees are storing their laptops, wallets and other company-issued gear properly.

  5. Security Systems: The model could be integrated into CCTV cameras or other surveillance systems to identify persons of interests based on what they're carrying (phone, bag, wallet), potentially giving a new dimension to suspect identification and analysis.

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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{
                            3.25-20min_dataset,
                            title = { 3.25 20min Dataset },
                            type = { Open Source Dataset },
                            author = { uou },
                            howpublished = { \url{ https://universe.roboflow.com/uou-yi2af/3.25-20min } },
                            url = { https://universe.roboflow.com/uou-yi2af/3.25-20min },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-11-23 },
                            }
                        
                    

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