In this article, we focus on the technical aspects of the machine learning solution we implemented for the xView2 competition. We used PyTorch to build our models for satellite image analysis and fast.ai to develop their critical parts.

Satellite image datasets are now readily accessible for use in Data Science and Machine Learning projects. This article will explain how to acquire these datasets and what you can do with them.

Building Deep Learning vision models satellite imagery to assist in identifying and labeling property damage from natural disasters.