person,weapon datasets Computer Vision Project

school

Updated 2 years ago

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Classes (3)
person
person hold weapon
weapon

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Description

Here are a few use cases for this project:

  1. Security Surveillance: This model can be used in CCTV and other video monitoring systems for real-time identification of people carrying weapons. It could prove vital for public safety in locations such as airports, stations, or public squares by detecting potential threats and avoiding incidents.

  2. Smart Policing: Law enforcement can use this model in police body cameras or drones to help detect individuals with weapons during crowded events, protests, or routine patrols, thereby aiding in maintaining law and order.

  3. Video Analytics: The model can be utilized in analysing recorded videos for forensics and investigation purposes. For example, law enforcement could use the model to quickly analyze surveillance footage from a crime scene to identify suspects carrying weapons.

  4. Gaming and Entertainment: In the gaming and movie industry, the algorithm can be helpful in creating effects, animation, or real-time simulation where the interaction of the person with a weapon is required.

  5. Virtual Training Simulators: This model could be used in military or police training simulators, helping to create a real-world, responsive environment where trainees interact with virtual characters carrying weapons.

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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{
                            person-weapon-datasets_dataset,
                            title = { person,weapon datasets Dataset },
                            type = { Open Source Dataset },
                            author = { school },
                            howpublished = { \url{ https://universe.roboflow.com/school-fin7c/person-weapon-datasets } },
                            url = { https://universe.roboflow.com/school-fin7c/person-weapon-datasets },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { dec },
                            note = { visited on 2024-11-20 },
                            }