Updated 2 years ago
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downloadsHere are a few use cases for this project:
Sports Analytics: The model can be used to analyze game strategies by providing insights about player movements, ball possession, and team formations during a soccer match. Search Keywords: Sports Analytics, Game Analysis, Player Tracking.
Broadcasting Enhancements: The model can enrich live broadcasts and replays by automatically recognizing and tagging players and their actions, aiding commentators and enhancing viewer experiences. Search Keywords: Broadcasting, Sports Media, Player Identification.
Virtual Reality Gaming: It can be incorporated into VR/AR gaming to create realistic player movements by mapping real-life player actions onto game characters. Search Keywords: Virtual Reality, Gaming, Player Simulation.
Training and Coaching: The model can assist coaches in assessing player performance, analyzing team strategies, and providing personalized training based on player's in-game actions. Search Keywords: Training, Coaching, Player Performance.
Security and Crowd Management: Inside stadiums, the model can recognize unauthorized access to the field by distinguishing between players, referees, and other individuals. Search Keywords: Stadium Security, Crowd Management, Unauthorized Access.
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If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ soccer-player-detection-udh2b_dataset, title = { Soccer Player Detection Dataset }, type = { Open Source Dataset }, author = { Technische Hochschule Deggendorf }, howpublished = { \url{ https://universe.roboflow.com/technische-hochschule-deggendorf-oc1nm/soccer-player-detection-udh2b } }, url = { https://universe.roboflow.com/technische-hochschule-deggendorf-oc1nm/soccer-player-detection-udh2b }, journal = { Roboflow Universe }, publisher = { Roboflow }, year = { 2023 }, month = { jun }, note = { visited on 2025-02-12 }, }