Duffle bags detection Computer Vision Project

IHUB

Updated 2 months ago

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duffle-bag
Description

Here are a few use cases for this project:

  1. Luggage Surveillance in Airports: This model can be implemented in airport security systems to monitor and track duffle bags. Improved detection can assist in identifying unattended luggage in terminals, leading to reduced risk of theft and increased security.

  2. Retail Security Application: Retail stores can deploy this model to track customer behaviour when purchasing large items that require bags. The model can alert staff when a duffle bag is detected, reducing shoplifting and theft.

  3. Sports Equipment Management: Sports clubs, gyms, or schools can use the model to monitor, track and manage sports equipment, as duffle bags often carry these. This will help in inventory checks and in ensuring no unauthorized removal of equipment.

  4. Personal Smart Home Security: The model can be used in home security applications to detect unfamiliar bags, raising an alert and thus helping homeowners to increase their home safety.

  5. Lost and Found Centers: This model can assist lost and found centers in quickly identifying duffle bags from their vast collection of items, helping to swiftly return the items to their rightful owners.

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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{
                            duffle-bags-detection-kflf2-ruqwo_dataset,
                            title = { Duffle bags detection Dataset },
                            type = { Open Source Dataset },
                            author = { IHUB },
                            howpublished = { \url{ https://universe.roboflow.com/ihub/duffle-bags-detection-kflf2-ruqwo } },
                            url = { https://universe.roboflow.com/ihub/duffle-bags-detection-kflf2-ruqwo },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { sep },
                            note = { visited on 2024-11-15 },
                            }
                        
                    

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