Subsurface Target Detection Computer Vision Project
Updated 2 years ago
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Metrics
Here are a few use cases for this project:
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Geological Exploration: This computer vision AI model can be used for geological exploration, identifying underground boulders and subsurface structures to assist in excavation and mining projects.
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Construction and Infrastructure Development: Engineers and construction teams can use this model to identify boulders and potentially hazardous subsurface targets during site preparation, helping to ensure the safety and stability of the construction process.
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Archaeology and Paleontology: Archaeologists and paleontologists can use this AI technology to identify subsurface targets, such as buried relics or fossilized remains, hidden among boulders underground, aiding in their efforts while minimizing the risk of damaging valuable items.
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Environmental Studies: The model could assist in studying and mapping the subsurface composition of different environments, which is useful for understanding geological and ecological processes.
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Disaster Management: This model could provide crucial support in disaster management scenarios, identifying the composition of the subsurface to predict and prevent landslides or other geological threats.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
subsurface-target-detection_dataset,
title = { Subsurface Target Detection Dataset },
type = { Open Source Dataset },
author = { kayur patel },
howpublished = { \url{ https://universe.roboflow.com/kayur-patel-qvaho/subsurface-target-detection } },
url = { https://universe.roboflow.com/kayur-patel-qvaho/subsurface-target-detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-12-23 },
}