<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Geojson on DeepLearning.Earth</title><link>https://deeplearning.earth/tags/geojson/</link><description>Recent content in Geojson on DeepLearning.Earth</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Fri, 09 Oct 2026 08:30:00 +0700</lastBuildDate><atom:link href="https://deeplearning.earth/tags/geojson/index.xml" rel="self" type="application/rss+xml"/><item><title>Deploy oriented-det in Docker — Tile Geo Process, GeoJSON out</title><link>https://deeplearning.earth/posts/2026-10-05_deploy_oriented_det_in_docker/</link><pubDate>Mon, 05 Oct 2026 06:00:00 +0700</pubDate><guid>https://deeplearning.earth/posts/2026-10-05_deploy_oriented_det_in_docker/</guid><description>I wanted a tile to go in and polygons to come out, the way a GIS service already expects.
oriented-det ships that as a container: deploy/example/. You bake a checkpoint, docker build, and POST a JPEG. GeoJSON comes back. A large scene is tiled inside the image.
I tried it with Oriented R-CNN on the bus-lot demo, at score 0.55. 100 boxes came back — 95 large vehicles and 5 small ones.</description></item></channel></rss>