rock minerals Object Detection Dataset and Pre-Trained Model by project

Images

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Explore Dataset

Here are a few use cases for this project:

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.
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.
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.
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.
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.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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 2024-06-24 },
                            }