multi detection Computer Vision Project

weapondetection

Updated 2 years ago

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Classes (11)
14.5
RPG-7
SVD sniper
aim_pose
akm
barno
danger_pos
m16
m4
pistol
pkm

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Description

Here are a few use cases for this project:

  1. Military Applications: This "multi detection" model can be used to quickly identify weaponry in surveillance footage, providing valuable intel and insights into enemy equipment and armaments.

  2. Video Game Design: Using this model, developers could incorporate real-life objects into their gaming worlds more seamlessly. For example, accurately identifying and modeling weaponry objects into a first-person shooter game.

  3. Law Enforcement: The model could be helpful in identifying specific weapon models in crime scene photos or CCTV footage, potentially aiding in criminal investigations.

  4. Film and Media Production: The model could be used in post-production to add realistic object identifications for various weaponry used in films or TV shows, enhancing the overall viewer experience.

  5. Education and Training: It could be used in military or security officer training programs to help new recruits visually identify different types of weaponry.

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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{
                            multi-detection-fvdew_dataset,
                            title = { multi detection Dataset },
                            type = { Open Source Dataset },
                            author = { weapondetection },
                            howpublished = { \url{ https://universe.roboflow.com/weapondetection-pzoyk/multi-detection-fvdew } },
                            url = { https://universe.roboflow.com/weapondetection-pzoyk/multi-detection-fvdew },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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