目标检测 Computer Vision Project
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Here are a few use cases for this project:
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Traffic Regulatory Compliance: This computer vision model can monitor real-time traffic to ensure cyclists and motorcycle riders are obeying safety rules by wearing helmets. It can alert the authorities about non-compliant riders.
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Construction Site Safety: The model can be used to monitor construction sites to ensure that all workers are wearing safety helmets at all times, and alert site managers of any non-compliance.
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Sports Training and Games: Use the model to ensure sport safety protocols are being adhered to in high-risk sports like motor racing, cycling races, skateboarding, etc.
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Public Safety Campaigns: The model can be used in public safety campaigns to highlight the importance of wearing helmets, by analyzing historical data and correlating helmet use with the incidence of accidents.
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Insurance Claim Verification: Insurance companies can use the model to validate claims related to helmet usage during an accident, as the model can detect whether a helmet was used by the claimant at the time of the accident.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
-wkb45_dataset,
title = { 目标检测 Dataset },
type = { Open Source Dataset },
author = { yolo 7helmetdetection },
howpublished = { \url{ https://universe.roboflow.com/yolo-7helmetdetection/-wkb45 } },
url = { https://universe.roboflow.com/yolo-7helmetdetection/-wkb45 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2024-09-22 },
}