Hel17 Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Safety Regulation Compliance: The "Hel17" model could be used by organizations that oversee safety regulations to identify whether individuals in various settings, such as construction sites or industrial environments, are using the correct helmets according to their roles and responsibilities.
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Sports Equipment Classification: Sporting events or organizations can use "Hel17" to distinguish between different classes of helmets used in different sports or roles within a sport, ensuring the correct equipment is being worn for safe play.
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Traffic Surveillance Systems: Police or traffic authorities could use this model to enforce helmet laws in cities where motorcycling is common. "Hel17" can identify varying types of helmet classes, helping authorities spot any individuals not adhering to safety regulations.
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Adventure Tours Monitoring: Companies offering potentially dangerous adventure activities like quad biking, motorcycling, or mountain climbing can use the model to ensure that participants are wearing the correct helmets before the start of the activity, enhancing customer safety.
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Insurance Claims Verification: Insurance companies could use "Hel17" to validate claims related to head or brain injuries. By examining images or video footage of the incident, they can establish whether the claimant was wearing an approved helmet type, which could influence the claim assessment.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
hel17_dataset,
title = { Hel17 Dataset },
type = { Open Source Dataset },
author = { RUTS161718 },
howpublished = { \url{ https://universe.roboflow.com/ruts161718/hel17 } },
url = { https://universe.roboflow.com/ruts161718/hel17 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jan },
note = { visited on 2024-12-29 },
}