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EPFL ML Road Segmentation

Project 2: Road extraction from satellite images


Completed
1658
Submissions
201
Participants
4413
Views

Overview

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

Your algorithm is evaluated according to the following criterion:

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

Rules

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.