@@ -38,6 +38,9 @@ The binary classification problem is constructed from the SemCity Toulouse multi
R. Roscher, M. Volpi, C. Mallet, L. Drees, and J. D. Wegner, “Semcity toulouse: a benchmark for building instance segmentation in satellite images,” ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. V-5-2020, p. 109–116, 2020.
The processing workflow to build the classification problem is in this Jupyter Notebook 👉 Build_train_and_test_sets.ipynb
The training and test sets that we used for the experiments in the paper are in the folder 👉 experiments
