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Classifying Urban Land in Indonesia Using Convolutional Neural Networks

Rebekah Adams & Tiffany M. Tran, Department of City and Regional Planning, University of Pennsylvania

MUSA 6500 Geospatial Machine Learning in Remote Sensing, Dr. Guray Erus

April 2023

This repository contains code for our project, "Classifying Urban Land in Indonesia Using Convolutional Neural Networks." In this project, we use a novel dataset of 1,424 satellite images to classify urban land in Cirebon, Indonesia using three deep learning algorithms: CNN, VGG16, and EfficientNetV2.

Please refer to our full report and presentation for a discussion of the results.

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