Extract roads from satellite images

For this problem, we provide a set of satellite/aerial images acquired from GoogleMaps. We also provide ground-truth images where each pixel is labeled as {road, background}. Your goal is to train a classifier to segment roads in these images, i.e. assign a label {road=1, background=0} to each pixel. Please see detailed instructions on the course github.

Your algorithm is evaluated according to the following criterion:

• F1 score (this combines the two numbers of precision and recall)

Each participant is allowed to make 5 submissions per day (i.e. up to 15 submissions per team per day). Failed submissions (e.g. wrong submission file format) do not count.