Shoot Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Use Case - Crime Scene Analysis: Using the "Shoot" computer vision model, crime investigators can analyze CCTV or crime scene images, identify elements like the aggressor, the victims, and weapons to help them in understanding crime scenes better.
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Use Case - Surveillance & Security: Security companies can utilize this model to monitor real-time video feeds in sensitive areas, potentially identifying threats and reacting swiftly to the critical situation.
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Use Case - Digital Forensics: Digital forensic analysts can deploy this model on content present on electronic devices for identifying potentially harmful activity, aiding law enforcement agencies in maintaining cyber-law order.
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Use Case - Social Media Content Moderation: Social media platforms can utilize this model to automatically moderate content uploaded by users, flagging and removing potentially violent or threat-inducing visual content, creating a safer online environment.
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Use Case - Gaming Development: Video game developers can adopt this model as a tool for creating more realistic, AI-driven Non-Player Characters (NPCs). The NPCs can react more genuinely by distinguishing between aggressor and victim characters and various activity classes.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
shoot-iohnp_dataset,
title = { Shoot Dataset },
type = { Open Source Dataset },
author = { Sym },
howpublished = { \url{ https://universe.roboflow.com/sym-ouszq/shoot-iohnp } },
url = { https://universe.roboflow.com/sym-ouszq/shoot-iohnp },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { jul },
note = { visited on 2024-11-21 },
}