Round 1: Completed
EPFL ML Road Segmentation
HiddenProject 2: Road extraction from satellite images
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.
Evaluation criteria
Your algorithm is evaluated according to the following criterion:
- F1 score (this combines the two numbers of precision and recall)