SHPON Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Construction Industry - Automate the process of detection and quality control of plywood in construction sites by recognizing plywood with holes, ensuring improved structural integrity of buildings and reducing expensive repairs.
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Woodworking & Carpentry - Assist woodworkers and carpenters in analyzing materials by identifying useable plywood from the SHPON classes, helping them to efficiently sort and select the right materials for their projects.
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Manufacturing - Enhance inventory management systems by automatically detecting and sorting plywood stocks based on their SHPON class, allowing for seamless tracking of materials and efficient distribution in the manufacturing field.
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Recycling & Waste Management - Streamline the procedures involved in recycling, reusing, or disposing of plywood by automatically identifying its SHPON class, helping waste management facilities optimize resources and reduce environmental impact.
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Home Improvement - Guide DIY enthusiasts and homeowners in selecting appropriate materials for their projects by providing real-time insights and recommendations, based on the SHPON classes recognized in their available plywood stocks.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
shpon_dataset,
title = { SHPON Dataset },
type = { Open Source Dataset },
author = { 111 },
howpublished = { \url{ https://universe.roboflow.com/111-881m1/shpon } },
url = { https://universe.roboflow.com/111-881m1/shpon },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { feb },
note = { visited on 2025-02-16 },
}