(Deep Learning model (using Keras) to label satellite images)
The goal of this challenge is to label satellite image chips with atmospheric conditions and various classes of land cover/land use. Resulting algorithms will help the global community better understand where, how, and why deforestation happens all over the world - and ultimately how to respond.
This problem was tackled with Deep Learning models (using TensorFlow and Keras).
Submissions are evaluated based on the F-beta score (F2 score), it measures acccuracy using precision and recall.
