Andong_Giwha Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Agricultural Monitoring: The Andong_Giwha computer vision model can be employed to monitor and analyze soil and crop health by differentiating between wacho, normal, and soil classes, enabling precision agriculture and optimizing resource management.
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Industrial Quality Control: This model could be used in manufacturing industries to check the quality of metal objects by detecting any wacho or material discrepancies in the metal surfaces, helping to maintain high production standards.
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Archaeological Research: The Andong_Giwha model can facilitate archaeological investigations and artifact classification, by identifying wacho and soil classes for proper excavation and preservation planning.
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Environmental Surveys: The model can support environmental assessments, surveying land or soil conditions, and studying the impact of various factors such as pollution or erosion on the environment. The model can differentiate between wacho, normal, and soil classes to aid in the assessment.
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Geotechnical Engineering: The Andong_Giwha model can be useful for geotechnical engineers in understanding soil and rock formations during the foundation design phase of construction projects. By identifying wacho and soil classes, engineers can make informed decisions for safer and more sustainable structures.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
andong_giwha_dataset,
title = { Andong_Giwha Dataset },
type = { Open Source Dataset },
author = { Suyoung Lim },
howpublished = { \url{ https://universe.roboflow.com/suyoung-lim/andong_giwha } },
url = { https://universe.roboflow.com/suyoung-lim/andong_giwha },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { nov },
note = { visited on 2024-11-21 },
}