basketball Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Sports Analytics: The model can be used to analyze basketball games, including player movements, possession time, and ball passing patterns, thus providing valuable insights to coaches and players.
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Automated Video Editing for Sports Content: This can be employed in automated video editing solutions. The model can help identify moments when the basketball is more prominent in the frame, which can aid in highlights creation or clipping key sequences.
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Equipment Inventory Tracking: For sports equipment retailers, the model can be useful in managing basketball inventory visually. It can detect and count basketballs in a scene offering effective and efficient inventory management.
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Sports Equipment Quality Control: In manufacturing processes, the model can be used to differentiate between basketballs and other sports balls to ensure proper assembly and quality control.
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Interactive Sports Games Development: Game developers can use this model to create more immersive and interactive basketball games. It can be used to detect if the player is using proper equipment (e.g., basketball instead of other balls) in gaming applications that involve physical player participation.
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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-d3owj_dataset,
title = { basketball Dataset },
type = { Open Source Dataset },
author = { basketball },
howpublished = { \url{ https://universe.roboflow.com/basketball-alpai/basketball-d3owj } },
url = { https://universe.roboflow.com/basketball-alpai/basketball-d3owj },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jan },
note = { visited on 2024-11-21 },
}