<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Mmrotate on DeepLearning.Earth</title><link>https://deeplearning.earth/tags/mmrotate/</link><description>Recent content in Mmrotate on DeepLearning.Earth</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Thu, 16 Nov 2023 15:11:48 +0000</lastBuildDate><atom:link href="https://deeplearning.earth/tags/mmrotate/index.xml" rel="self" type="application/rss+xml"/><item><title>Detecting ships in satellite imagery: five years later…</title><link>https://deeplearning.earth/posts/2023-11-16_detecting_ships_in_satellite_imagery_five_years_later/</link><pubDate>Thu, 16 Nov 2023 15:11:48 +0000</pubDate><guid>https://deeplearning.earth/posts/2023-11-16_detecting_ships_in_satellite_imagery_five_years_later/</guid><description>Context Link to heading In 2018, when I was still working at Airbus Defence and Space, I organised a challenge on Kaggle to detect ships in Airbus SPOT satellite imagery (@ 1.5 meters resolution).
Home page of the Airbus Ship Detection Challenge on Kaggle Check my article about the successes and issues that we encountered. That’s a whole story in itself!
One of the interesting characteristics of the challenge was the oriented bounding boxes annotations.</description></item></channel></rss>