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Soccer Player Detection Computer Vision Project

Technische Hochschule Deggendorf

Updated a year ago

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Instance Segmentation Model
Classes (6)
Ball Goalkeeper Player Referee
TeamA
TeamB

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Description

Here are a few use cases for this project:

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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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Cite This Project

LICENSE
Public Domain

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 2024-11-24 },
                            }

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