Appsilon Blog for R Shiny Apps, Computer Vision, and Open Source Tools
Tag: satellite imagery
Using fastai to Detect Solar Panels From Orthophotos (2/3)
Introducing fastai and the model build. Article 2 of the 3-part series on building an ML model to detect solar panels from satellite imagery.
Using AI to Detect Solar Panels From Orthophotos (1/3)
Join our 3-part miniseries on creating an ML model to detect solar panels from satellite imagery.
Satellite Image Analysis FAQ: Can I Use R to Analyze Satellite Images?
How do satellites take pictures? Can you process satellite images with R? Also, can you go to Space? Your questions meet our answers.
Satellite Image Analysis with fast.ai for Disaster Recovery
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.
How to Acquire Large Satellite Image Datasets for Machine Learning Projects
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.
AI for assisting in natural disaster relief efforts: the xView2 competition
Building Deep Learning vision models satellite imagery to assist in identifying and labeling property damage from natural disasters.
Satellite imagery generation with Generative Adversarial Networks (GANs)
Article presents how to generate imagery based on satellite imagery with Generative Adversarial Networks (GANs).