<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Pretrained-Models on DeepLearning.Earth</title><link>https://deeplearning.earth/tags/pretrained-models/</link><description>Recent content in Pretrained-Models on DeepLearning.Earth</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Mon, 29 Jun 2026 09:00:00 +0700</lastBuildDate><atom:link href="https://deeplearning.earth/tags/pretrained-models/index.xml" rel="self" type="application/rss+xml"/><item><title>Announcing the Oriented R-CNN 3× pretrained model</title><link>https://deeplearning.earth/posts/2026-06-29_announcing_the_final_oriented_det_pretrained_model/</link><pubDate>Mon, 29 Jun 2026 09:00:00 +0700</pubDate><guid>https://deeplearning.earth/posts/2026-06-29_announcing_the_final_oriented_det_pretrained_model/</guid><description>We finished training and evaluation of Oriented R-CNN 3× on DOTA le90. With it, the OrientedDet pretrained zoo on Hugging Face (dl4eo/oriented-det-pretrained) is complete for our three detector families: Oriented R-CNN, Rotated Faster R-CNN, and Rotated RetinaNet.
This post focuses on the new checkpoint — why it matters, how it compares to our 1× run and to MMRotate, how to load it, and how odet image-demo runs sliding-window inference on images larger than 1024×1024.</description></item></channel></rss>