rock minerals Computer Vision Project

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Updated a year ago

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Classes (15)
benitoite
calcite
copper
cuprite
erythrite
gold
gypsum
halite
limonite
magnetite
opal
prehnite
pyrite
silver
tantalite

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Description

Here are a few use cases for this project:

  1. Educational Tool: The "rock minerals" model can be utilized by educators and students for teaching and learning about different mineral types. Students can use it to identify minerals during geology labs or field trips.

  2. Mining and Exploration: Geology and mining companies can use this model to assist in the identification of minerals during exploration and extraction activities, optimizing the mining process and reducing the time spent on manual identification.

  3. Museum Exhibits: Museums could use this computer vision model to provide visitors with an interactive and educational experience. Visitors can use the model to identify and learn more about displayed mineral samples.

  4. Geologic Survey: The model could be used by geological survey teams to quickly identify and classify rock samples on site. This would make preliminary analyses quicker and more accurate.

  5. Jewelry and Gemstone Industry: This model can be integrated into a tool for gemstone buyers, sellers, and appraisers to quickly identify the types of mineral in a piece, ensuring the authenticity and value of the gemstone.

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            rock-minerals_dataset,
                            title = { rock minerals Dataset },
                            type = { Open Source Dataset },
                            author = { project },
                            howpublished = { \url{ https://universe.roboflow.com/project-24eev/rock-minerals } },
                            url = { https://universe.roboflow.com/project-24eev/rock-minerals },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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