tennis ball detection Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Sports Training: This model can be used in sports training programs, particularly for tennis players. It can help in real time to analyze training sessions, track if the player is correctly hitting the ball, and provide instant feedback.
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Tennis Game Analysis: In professional tennis matches, the model can aid in detecting and recording various statistics such as the number of hits and misses, the direction of the ball, speed, etc., which could be valuable for post-match analysis and strategy building.
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Tennis Ball Manufacturing: This solution could assist in the quality control process within tennis ball factories. It can detect if balls are perfectly round or have any defects, enhancing the efficiency of the manufacturing process.
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Augmented Reality (AR) Games: Developers can integrate this model into AR games which involve hitting or catching tennis balls, improving the game's user experience by facilitating better ball tracking.
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Surveillance Systems: In environments like private tennis courts or clubs, this model can be utilized within security systems to alert owners when someone is using the court or if a tennis ball goes missing.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
tennis-ball-detection-fhunm_dataset,
title = { tennis ball detection Dataset },
type = { Open Source Dataset },
author = { obj detection },
howpublished = { \url{ https://universe.roboflow.com/obj-detection-b1pur/tennis-ball-detection-fhunm } },
url = { https://universe.roboflow.com/obj-detection-b1pur/tennis-ball-detection-fhunm },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-11-21 },
}