20. 혜민님담당 Computer Vision Project
Updated 2 years ago
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downloadHere are a few use cases for this project:
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Sports Analytics: This model's diverse range of classes, including various sports players, could be used for sports analysis by tracking and recording the positions, movements, and interactions of individual players during a game.
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Player Performance Tracking in Football Matches: The model can be used to track the performance of individual football players during a match. It can identify different players on the pitch and analyze player actions like scoring goals, assists, defending, etc., based on their positions.
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Augmented Reality (AR) Sports Broadcasting: This model can be used to enhance the sports broadcasting experience by automating player and referee identification in real-time sports streaming. Viewers could click on a player to get additional information, such as personal stats, career highlights, etc.
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Video Game Design: This model could be useful in developing more realistic sports video games, where in-game avatars replicate the movements of real-life players based on data from real matches.
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Training New Referees: New referees could use this model as a training tool to practice identifying players and their positions. They could also simulate games and practice making calls on different plays.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
20._dataset,
title = { 20. 혜민님담당 Dataset },
type = { Open Source Dataset },
author = { aiffel },
howpublished = { \url{ https://universe.roboflow.com/aiffel-qry08/20. } },
url = { https://universe.roboflow.com/aiffel-qry08/20. },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { aug },
note = { visited on 2024-11-24 },
}