BB_Basketkorg Computer Vision Project
Here are a few use cases for this project:
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Sports Analytics: The "BB_Basketkorg" model could be used in professional and amateur basketball analytics, identifying events in the game like shot attempts, misses, and baskets made. Video footage of games could be processed and key stats could be automatically gathered from the vision model's annotations.
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Equipment Maintenance: Institutions with basketball courts like schools or community centers could use the model to monitor the status of backboards and baskets, helping to find any damages sooner.
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Athletic Training Applications: The model could be used in training apps to help athletes analyze and improve their performance, with the ability to identify and track their shots in real-time.
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Augmented Reality Games: The model could be used in AR sports games to identify real-world basketball hoops and integrate them into the gameplay, providing more immersive gaming experiences.
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Security and Surveillance: Event venues could use this model to monitor areas where basketball games are taking place, ensuring the area is safe and secured. Any objects identified inaccurately as a hand might indicate someone tampering with the equipment.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
bb_basketkorg_dataset,
title = { BB_Basketkorg Dataset },
type = { Open Source Dataset },
author = { Kandidat },
howpublished = { \url{ https://universe.roboflow.com/kandidat/bb_basketkorg } },
url = { https://universe.roboflow.com/kandidat/bb_basketkorg },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { apr },
note = { visited on 2024-06-28 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the BB_Basketkorg project in your project.
Source
Last Updated
2 years ago
Project Type
Object Detection
Subject
Basket-and-Backboards
Views: 37
Downloads: 0
