Aerith Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Weapon Detection for Public Safety: The Aerith model can be utilized by security personnel and law enforcement agencies to automatically detect guns in surveillance footage gathered from public spaces, such as airports, schools, or large events, in real-time. This can ensure a prompt response to potential threats and improve overall public safety.
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Content Moderation on Social Media Platforms: The Aerith model can be employed by social media platforms to automatically screen for and flag images or video content containing guns, helping to prevent the spread of violent, harmful, or inappropriate material.
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Firearms Identification and Training: The Aerith model can be used to develop educational applications for firearms enthusiasts, law enforcement, and military personnel. Users can upload images of guns to learn more about specific gun classifications, history, and proper handling or safety techniques.
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Firearms Forensic Analysis: Aerith can assist forensic specialists in analyzing images or videos of crime scenes, aiding in the identification of specific gun models used during a crime to provide essential information for investigations.
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Video Game and Film Production: The Aerith model can be integrated into the production process of video games or films that involve gun usage, by automatically detecting and classifying the types of guns, allowing the creators to ensure authenticity, accuracy, and compliance with legal regulations related to depicting firearms.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
aerith_dataset,
title = { Aerith Dataset },
type = { Open Source Dataset },
author = { HTL Wels },
howpublished = { \url{ https://universe.roboflow.com/htl-wels/aerith } },
url = { https://universe.roboflow.com/htl-wels/aerith },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { mar },
note = { visited on 2024-12-18 },
}