Soccer Player Detection Instance Segmentation Dataset and Pre-Trained Model by Technische Hochschule Deggendorf

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Explore Dataset

Here 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.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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 2024-05-10 },
                            }