From b66fa2e8721fd776ac734830fd2437fe901dd57d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Melih=20Safa=20=C3=87elik?=
 <45492251+MelihCelik00@users.noreply.github.com>
Date: Wed, 19 Apr 2023 10:53:00 +0300
Subject: [PATCH] Added segment-geospatial repo to deep learning section

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 README.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/README.md b/README.md
index 36b356f..cb06378 100644
--- a/README.md
+++ b/README.md
@@ -405,6 +405,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
 * [PixelLib](https://github.com/ayoolaolafenwa/PixelLib) - Pixellib is a library for performing segmentation of images. It suports both Semantic Segmentation as Instance Segmentation.
 * [platypus](https://github.com/maju116/platypus) - R package for object detection and image segmentation.
 * [Raster Vision](https://github.com/azavea/raster-vision) - An open source framework for deep learning on satellite and aerial imagery.
+* [segment-geospatial](https://github.com/opengeos/segment-geospatial) - Meta AI' Segment Anything Model (SAM) for Geospatial Data
 * [sentinel-tree-cover](https://github.com/wri/sentinel-tree-cover) - Image segmentations of trees outside forest.
 * [ShelfNet](https://github.com/juntang-zhuang/ShelfNet) - Implementation of a CNN model for real-time semantic segmentation.
 * [SIMRDWN](https://github.com/avanetten/simrdwn) - The Satellite Imagery Multiscale Rapid Detection with Windowed Networks (SIMRDWN) codebase combines some of the leading object detection algorithms into a unified framework designed to detect objects both large and small in overhead imagery.