<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Oil Storage on DeepLearning.Earth</title><link>https://deeplearning.earth/tags/oil-storage/</link><description>Recent content in Oil Storage on DeepLearning.Earth</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Thu, 07 Jul 2022 11:27:21 +0200</lastBuildDate><atom:link href="https://deeplearning.earth/tags/oil-storage/index.xml" rel="self" type="application/rss+xml"/><item><title>Oil Storage Detection on Airbus Imagery with YOLOX</title><link>https://deeplearning.earth/posts/2022-06-15_oil-storage-detection-on-airbus-imagery-with-yolox/</link><pubDate>Wed, 15 Jun 2022 19:17:31 +0000</pubDate><guid>https://deeplearning.earth/posts/2022-06-15_oil-storage-detection-on-airbus-imagery-with-yolox/</guid><description>Introduction Link to heading Last year, Airbus Intelligence published a few Machine Learning Datasets on the Kaggle platform. These datasets are samples from much larger and more comprehensive datasets provided by Airbus. Nevertheless, they are good datasets to start with and build upon if you wish to learn more about Earth Observation imagery and Deep Learning.
In this article, we will analyse the Airbus Oil Storage dataset. It contains one hundred SPOT images and a little over 13,500 annotated POL (Petroleum, Oil and Lubricant) storage.</description></item></channel></rss>