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--- |
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license: cc-by-nc-4.0 |
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language: |
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- en |
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tags: |
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- Earth and Nature |
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- Earth Science |
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- Geology |
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size_categories: |
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- 1K<n<10K |
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--- |
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# Data Creation Services |
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If you need help to create custom dataset for your specialization without worring about sources, issues etc.. then please contact me at: [email protected] |
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We create specialized data for companies for there need considering all aspect related to data and quality of data. |
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Data is available every where but quaity is missing, we focus on quality of data, because ultimately the performance of whole model depends on Quality. |
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## Description |
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This dataset contains thin section images of 19 rocks and minerals compiled from various open-source websites. It is intended for research and educational purposes, particularly in the field of petrology. |
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The dataset is sufficient to train and understand petrological problems in data science. Users can later expand the classes and data using any framework of their choice. |
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## Sources |
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The data were collected from various open-source websites such as Mendeley Data, Digital Rocks Portal, datadryad.org, and Science Direct. |
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## How to Use |
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Please refer to the provided notebooks at https://www.kaggle.com/code/prateekvyas/petronet-with-fastai-and-pytorch for examples on how to use this dataset for training deep learning models in petrology. |
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For any questions or assistance, feel free to comment on the dataset page or contact the author directly. |
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## Application |
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App developed using this dataset is available at https://huggingface.co/spaces/pvyas96/thin_section_prediction |
