Datasets:
license: cc-by-nc-4.0
language:
- en
tags:
- Earth and Nature
- Earth Science
- Geology
size_categories:
- 1K<n<10K
Data Creation Services
If you need help to create custom dataset for your specialization without worring about sources, issues etc.. then please contact me at: [email protected] We create specialized data for companies for there need considering all aspect related to data and quality of data. 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.
Description
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. 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.
Sources
The data were collected from various open-source websites such as Mendeley Data, Digital Rocks Portal, datadryad.org, and Science Direct.
How to Use
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.
For any questions or assistance, feel free to comment on the dataset page or contact the author directly.
Application
App developed using this dataset is available at https://huggingface.co/spaces/pvyas96/thin_section_prediction