GitHub / RamySaleem / Fold-Classification-Tool
The application of AI in structural interpretation workflows is still ambiguous. This study aims to use ML techniques to classify images of folds and fold-thrust structures. Here we show that convolutional neural networks as supervised deep learning techniques provide excellent algorithms to discriminate between geological image datasets.
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PURL: pkg:github/RamySaleem/Fold-Classification-Tool
Stars: 1
Forks: 0
Open issues: 0
License: apache-2.0
Language: Jupyter Notebook
Size: 106 MB
Dependencies parsed at: Pending
Created at: over 2 years ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago
Topics: box-fold, chevron-fold, cnn-classification, deep-learning, fold-classification, geological-image, rounded-fold, strutural-interpretation
Funding Links https://github.com/sponsors/https://github.com/ClareBond, https://liberapay.com/pytourch, https://www.ukri.org/what-we-offer/developing-people-and-skills/nerc/nerc-studentships/directed-training/centres-for-doctoral-training-cdt/cdt-in-oil-and-gas/