Scikit-Learn

Semantic Segmentation of Geospatial Imagery with Deep Learning Part 6 – Model Inference and Evaluation

by Magnus

Introduction In the previous post, we have successfully trained a model for lake segmentation. In this post, we are going to have a look at how its performance can be quantitatively and qualitatively assessed as well as how it can… Read More »Semantic Segmentation of Geospatial Imagery with Deep Learning Part 6 – Model Inference and Evaluation

Semantic Segmentation of Geospatial Imagery with Deep Learning Part 5 – Training the Model

by Magnus

Introduction In the previous post, we have defined the U-Net architecture and defined a class to access our training samples. Hence, we are ready to train the model. This first requires to split up our image crops into different datasets… Read More »Semantic Segmentation of Geospatial Imagery with Deep Learning Part 5 – Training the Model

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