komal Computer Vision Project

komal

Updated 2 years ago

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Description

Here are a few use cases for this project:

  1. Public Safety and Surveillance: The komal model can be integrated into a CCTV system to identify individuals carrying or using weapons. This could help prevent crimes as authorities would be alerted in real time whenever a weapon is spotted.

  2. Content Moderation: Social media platforms or other online sites can use this model to monitor images uploaded by users. If a weapon is detected in the image, the site could flag the content for review or potentially remove it to ensure community standards are upheld.

  3. Video Game Development: The komal model could be used in the development of games, especially in the genre of shooters or action games. It would help identify virtual weapons and characters accurately, leading to a more immersive and realistic gaming experience.

  4. Forensics and Police Investigations: Law enforcement agencies could use komal to help identify weapons in crime scene photos or videos, which could assist in speedy and accurate investigation and proceedings.

  5. Augmented Reality Applications: In AR training environments, particularly for military or police trainees, komal could identify and classify weapons, enabling a more interactive and engaging training experience.

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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{
                            komal-zisn3_dataset,
                            title = { komal Dataset },
                            type = { Open Source Dataset },
                            author = { komal },
                            howpublished = { \url{ https://universe.roboflow.com/komal-9gegp/komal-zisn3 } },
                            url = { https://universe.roboflow.com/komal-9gegp/komal-zisn3 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { sep },
                            note = { visited on 2024-11-27 },
                            }
                        
                    

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