TrashIED Computer Vision Project

Nathan Yan

Updated 18 days ago

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Description

Here are a few use cases for this project:

  1. Military Operations: This model can be used in war zones to aid military personnel in identifying potential threats such as IEDs (Improvised Explosive Devices) hidden among trash or debris. This improves safety and mission effectiveness.

  2. Public Safety: Security agencies can use this model to surveil public spaces and identify suspicious items potentially posing a risk to citizens. This could also assist in identifying areas that should be checked manually.

  3. Waste Management: The model can be integrated into waste sorting systems to identify if there is anything else than waste in the trash. This could lead to a safer and more efficient process for waste management.

  4. Training and Education: In training sessions for military or security officers, this model can be used to improve accuracy and speed in recognizing threats like IEDs within waste, enhancing overall preparedness during actual operations.

  5. Archaeology: Archaeologists often sift through layers of discarded material. This model could identify suspicious or unusual objects that may be historically significant artefacts.

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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{
                            trashied-cyoqv_dataset,
                            title = { TrashIED Dataset },
                            type = { Open Source Dataset },
                            author = { Nathan Yan },
                            howpublished = { \url{ https://universe.roboflow.com/nathan-yan/trashied-cyoqv } },
                            url = { https://universe.roboflow.com/nathan-yan/trashied-cyoqv },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { oct },
                            note = { visited on 2024-11-16 },
                            }
                        
                    

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