surfers Computer Vision Project
Updated a year ago
Metrics
Here are a few use cases for this project:
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Surfing Competitions Monitoring: The model can be used in competitive surfing events to automatically identify and classify surfers, contributing to more accurate and efficient scoring of participants.
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Surfing Safety and Rescue Operations: Lifeguards and coastal rescue teams could use the model to monitor surfers in real-time, identifying and responding quickly to those in distress.
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Enhanced Surf Coaching: Surfing schools and private trainers can take advantage of this model to counsel their students better based on individual surfing stance, helping them improve their surfing techniques.
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Market Research for Surfing Industries: The model could be used to estimate the number of surfers at a specific location over time, providing valuable data for mainly surfing equipment manufacturers and advertisers.
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Surfer Analysis in Scientific Studies: Researchers studying human motion, ocean safety, or the effects of environment on surfer behavior could use the model to track and annotate surfer actions and numbers.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
surfers-i3q04_dataset,
title = { surfers Dataset },
type = { Open Source Dataset },
author = { James Moore },
howpublished = { \url{ https://universe.roboflow.com/james-moore-gkzhh/surfers-i3q04 } },
url = { https://universe.roboflow.com/james-moore-gkzhh/surfers-i3q04 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2024-09-26 },
}