Weapon Detection Computer Vision Project
Here are a few use cases for this project:
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Public Safety and Surveillance: The model can be used as an automated tool to identify weapons in surveillance footage in real-time, potentially alerting authorities immediately of suspicious or potentially harmful activities in public areas or crowded events.
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Airport Security: It can enhance security screenings by helping identify dangerous weapons in passenger carry-on or checked luggage during airport security checks.
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E-commerce Monitoring: The model could be used by online marketplaces to detect and block listings that contain images of prohibited weapons, ensuring safer transactions and adherence to platform guidelines.
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Content Moderation on Social Media: Social media platforms can deploy such a system to automatically flag and remove content that includes images of weapons, thus maintaining a safe and appropriate environment for users.
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Training and Simulation: It could be beneficial in military or police force training programs, simulating real-world scenarios where weapon identification in various environments and situations is critical.
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.
YOLOv8
This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.
Cite this Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ weapon-detection-aoxpz_dataset,
title = { Weapon Detection Dataset },
type = { Open Source Dataset },
author = { RHackathon },
howpublished = { \url{ https://universe.roboflow.com/rhackathon/weapon-detection-aoxpz } },
url = { https://universe.roboflow.com/rhackathon/weapon-detection-aoxpz },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2023-12-10 },
}
Find utilities and guides to help you start using the Weapon Detection project in your project.