Mineral Classification using Deep Learning and AI


Classification of images using Deep Learning nowadays helps in a wide range of fields. Whether classifying objects in front of a self-driving car or x-rays images into different health concerns, Deep Learning methods diminish the gap between computer vision and human vision.


In Mining, mineral identification is the most crucial part of mineral exploration in which geologists look at the rocks in search of indicator minerals. The identification of minerals is made by looking at their physical properties like luster, color, streak, hardness, crystal habit, cleavage and fracture, and some unique properties.


It is always a challenging task that comes with many problems in the field. This requires many experienced teams of professionals and is time-consuming; thus, Deep Learning models to classify rocks are a great way to help geologists.


This whitepaper covers Deep Learning models that classify rocks containing distinct minerals. The rock images in the dataset contain seven different minerals. The paper includes three Deep Learning models, and the accuracy of each model is reflected.

Mineral Classification using Deep Learning and AI

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