Valorant-Enemy-Detection Computer Vision Project
Updated a year ago
Metrics
Here are a few use cases for this project:
-
Game Coaching Apps: Use the "Valorant-Enemy-Detection" model in apps or tools aimed at helping gamers improve their gameplay. The model can identify enemies and provide users with real-time strategies or suggestions on the game screen.
-
Highlight Reel Creation: Use the model to automatically create highlight reels of gameplays by detecting instances where enemies were identified and combats were conducted.
-
Stream Assist Tools: For streamers and content creators, use the model to provide real-time information for viewers about the detected enemies. Interactive overlays could be developed to enrich the viewers' experience.
-
Advanced Video Game Analysis: Use the model as part of a complex analysis system for professional e-sports teams. With the enemy detection feature, teams could develop insights on the strategies of opponent teams.
-
Real-Time Game Modding: The "Valorant-Enemy-Detection" model can be used in mods that alter game environment based on enemies. For example, the game environment/color scheme might change based on the type of enemy detected, providing players with immersive experiences.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
valorant-enemy-detection-emsl6_dataset,
title = { Valorant-Enemy-Detection Dataset },
type = { Open Source Dataset },
author = { Usermode },
howpublished = { \url{ https://universe.roboflow.com/usermode-lkquz/valorant-enemy-detection-emsl6 } },
url = { https://universe.roboflow.com/usermode-lkquz/valorant-enemy-detection-emsl6 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2024-11-24 },
}