CEEP Computer Vision Project
Updated 2 years ago
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11
Metrics
Here are a few use cases for this project:
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Construction Safety Monitoring: The CEEP may be deployed on construction sites to ensure all workers are wearing the appropriate safety gear. The model can alert supervisors if a worker is detected without a hat, gloves, vest, or boots, thereby improving overall safety compliance.
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Industrial Training: The model can be integrated into training programs for industries where safety gear is essential, such as manufacturing or mining. It can be used to educate about the importance of proper attire and help validate if trainees are correctly following the protocol.
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Retail Industry Aid: Stores specializing in selling safety gear such as hats, vests, gloves, and boots could use this model to automate their inventory management processes. The model could identify specific items on the shelf, assist in arranging them and track the stock level as well.
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Apparel Classification: E-commerce companies or fashion industry can utilize the CEEP model to classify various types of apparel in their catalogues. This can contribute in tagging items automatically and increasing the efficiency of product search and recommendation features.
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Manufacturing Quality Control: In the production lines for safety gear, the CEEP model can be deployed to examine each piece that comes off the line, identifying whether it fits into the correct category such as hat, vest, gloves, or boots, and flagging any items that do not meet the quality standards.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
ceep_dataset,
title = { CEEP Dataset },
type = { Open Source Dataset },
author = { College },
howpublished = { \url{ https://universe.roboflow.com/college-2trxj/ceep } },
url = { https://universe.roboflow.com/college-2trxj/ceep },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { dec },
note = { visited on 2024-11-21 },
}