GPR-Training-3 Computer Vision Project
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Here are a few use cases for this project:
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Scrap Sorting: The model could be used in waste management facilities for the sorting of metal and non-metal scrap materials. This could streamline recycling processes by identifying and separating materials into appropriate categories.
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Quality Control in Manufacturing: Manufacturers of goods that specifically require metallic or non-metallic materials might use the model for quality control, to ensure that only the right type of material is used in production.
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Archaeological Analysis: Archaeologists could use this model to assist in the analysis and identification of artifacts, distinguishing between metal and non-metal items.
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Mining Industry: Industrial mining firms might find use in identifying and categorizing excavated materials based on their metallic properties, helping to maximize the efficiency and potential yield of dig sites.
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Retail: Businesses that sell metal and non-metal materials or products could use the model to automate the inventory management process, significantly reducing the manpower needed for warehouse management.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
gpr-training-3_dataset,
title = { GPR-Training-3 Dataset },
type = { Open Source Dataset },
author = { Ege Yüceel },
howpublished = { \url{ https://universe.roboflow.com/ege-yuceel/gpr-training-3 } },
url = { https://universe.roboflow.com/ege-yuceel/gpr-training-3 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { dec },
note = { visited on 2024-11-23 },
}