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Measuring road network expansion and its effect

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run.ipynb

This is the main notebook used to load the model and dataset, and train the model.

src/model.py

Contains the U-Net model defined in the UNet python class.

src/dataset.py

Contains the dataset creation and processing part defined in the SatelliteRoadDataset class.

src/runners.py

Contains the train and validate functions.

src/utils.py

Contains the utility function to reproject the Landsat images and the function to calculate the class weight for the binary cross entropy loss function.

Files related to task 1

The folder task-1 contains files related to the analysis of the OSM and GRoad data and that are not directly related to our machine learning model.

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ml-project-2-the-overfitters created by GitHub Classroom

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