basketball Computer Vision Project
Updated a year ago
Here are a few use cases for this project:
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Player Performance Analysis: The "basketball" model can be utilized in sports analysis to evaluate player performance by identifying player movements, ball handling, shooting angles, shot success rate considering the rim, etc.
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Augmented Reality Games: It could be used in the development of augmented reality (AR) sports games where real-world gestures and actions are mimicked in the game setting. The model can identify the person, ball, and rim to integrate these elements in the gameplay.
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Sports Broadcasting Enhancement: The model can enhance the viewing experience by providing advanced tracking statistics in live broadcasts or highlights, such as identifying key moments where the person, ball, and rim interacted in significant ways.
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Training and Coaching: It can be used to analyze training exercises and provide feedback. It can identify incorrect techniques or recommend improvements based on the data it gathers about the person's interaction with the ball and the rim.
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Surveillance and Security in Sports Facilities: When installed in sports facilities, the model can help in identifying if the property is being used for its intended purpose. For example, if only people and the basketball are present but no interaction with the rim, it could suggest irregular activities.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
basketball-cajrw_dataset,
title = { basketball Dataset },
type = { Open Source Dataset },
author = { AI },
howpublished = { \url{ https://universe.roboflow.com/ai-79z1a/basketball-cajrw } },
url = { https://universe.roboflow.com/ai-79z1a/basketball-cajrw },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2024-12-18 },
}