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Deep Learning for Rock Image Classification by Anantha Priya is a document available to read on EtoBox.

What is Deep Learning for Rock Image Classification about?

This document describes a project using a convolutional neural network (CNN) to identify rock types from images. The CNN was trained on a dataset of 4,800 rock images and achieved 96% accuracy in identifying rocks as igneous, metamorphic, or sedimentary. The CNN model extracts features from the input images to classify the rock type more efficiently and accurately than traditional manual methods. The project aims to build a web application that allows users to upload an image of a rock for the CNN model to

Author

Anantha Priya

Language

EN