Lithology dataset

Published: 24 November 2021| Version 1 | DOI: 10.17632/b6rj29mrss.1
Fatimah Alzubaidi


The dataset includes core images used in the paper “Automated lithology classification from drill core images using convolutional neural networks” It includes 2 x 2 cm core images created from core tray images provided by the Geological Survey of South Australia, available on It includes images used for training, validating, and testing the CNN models for four categories: sandstone, limestone, shale, and a ‘garbage’ category that contains empty tray areas and non-core objects such as and wooden/metallic objects in the tray images.



Image Classification, Lithology, Convolutional Neural Network