vdetect2 Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Video Game Development: This model could be beneficial for developers in designing video games. It could be used to recognize the occurrence and positioning of specific objects during game testing and inform the subsequent refinement of the game's functionalities.
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Automated Game Highlights: vDetect2 can be used to generate automated highlights in live-streamed or recorded video gaming sessions. By identifying key elements such as the usage of weapons, a character's death (Ebody, Ehead), defenses (turret), or special tactics (molitov, spike), the model could create a summary of exciting moments.
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Content Rating System: The model can identify the occurrence of violence-related parameters like weapons or damage to characters in a video game, which could then be used to assist with content ratings or parental control systems.
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Game Analytics and Strategy Development: Coaches and professional gamers might use the model to extract critical details from gameplay videos to build strategies or improve performance by observing the frequency and context of certain elements like friendly interactions, weapon usage, and the deployment of special tactics.
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Moderation in Online Gaming Platforms: The system could monitor real-time gameplay to identify inappropriate or prohibited content (like extreme violence or certain weapons), supporting moderation efforts on online gaming platforms.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
vdetect2_dataset,
title = { vdetect2 Dataset },
type = { Open Source Dataset },
author = { Matthew Lou },
howpublished = { \url{ https://universe.roboflow.com/matthew-lou/vdetect2 } },
url = { https://universe.roboflow.com/matthew-lou/vdetect2 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { jul },
note = { visited on 2024-12-03 },
}