skiing Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Safety Monitoring: This model could be used in ski resorts for real-time monitoring of skiers, enabling authorities to enforce helmet rules and reduce the risk of injury.
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Sport Event Analysis: During professional ski competitions, this model might provide real-time analysis, identifying which competitors are wearing helmets and potentially categorizing them based on the type or color of their helmets.
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Development of Smart Cameras: Integrating this model into smart cameras could enable them to automatically identify and focus on skiers with helmets, useful for specific filming or photography needs.
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Insurance Investigations: Insurance companies might use this model to enhance their investigation process for winter sport accidents and determine if claimants were following safety protocols like wearing a helmet.
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AI Ski Coaching: This model can be incorporated into an AI-based ski coaching system in which the model identifies if the trainee is wearing a helmet or not, providing real-time feedback, enhancing safety, and providing an all-around learning experience.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
skiing_dataset,
title = { skiing Dataset },
type = { Open Source Dataset },
author = { 강호균 },
howpublished = { \url{ https://universe.roboflow.com/-mj1ln/skiing } },
url = { https://universe.roboflow.com/-mj1ln/skiing },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { sep },
note = { visited on 2024-12-31 },
}