Roboflow Universe weapondetection multi detection

multi detection Computer Vision Project

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Here are a few use cases for this project:

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.
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.
Law Enforcement: The model could be helpful in identifying specific weapon models in crime scene photos or CCTV footage, potentially aiding in criminal investigations.
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.
Education and Training: It could be used in military or security officer training programs to help new recruits visually identify different types of weaponry.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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 2024-07-27 },
                            }