18. 창환님담당 Computer Vision Project
Updated 2 years ago
18
views3
downloadsHere are a few use cases for this project:
-
Sports Analytics: Use the model to identify, analyze, and track the movements and performance of individual football players during a match, including their interactions with the referee and the ball.
-
Game Highlights Creation: Create automated game highlight reels by identifying key players and actions during a match, such as a near-miss by 88-LeeTaeSeok or an incredible save by 21-GK-YangHanBeen.
-
Player Performance Review: Sports coaches and analysts can monitor individual player performance by tracking their on-field actions, interactions with the ball, and overall positioning throughout the game.
-
Automated Sports Journalism: Use the model to generate detailed post-match reports or live commentary, by identifying which players were involved in significant game events.
-
Virtual Reality Gaming: Integrate identified classes into a virtual reality game to create a scored football match simulation, providing players with a realistic virtual sports experience.
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{
18._dataset,
title = { 18. 창환님담당 Dataset },
type = { Open Source Dataset },
author = { aiffel },
howpublished = { \url{ https://universe.roboflow.com/aiffel-qry08/18. } },
url = { https://universe.roboflow.com/aiffel-qry08/18. },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { aug },
note = { visited on 2024-11-24 },
}