GeoAI QGIS Plugin v1.0: One-Click Installation on Windows, macOS & Linux

What’s included in v1.0: 1. Semantic segmentation 2. Instance segmentation 3. Moondream vision-language model 4. SAM 3 5. Forest segmentation (powered by DeepForest) 6. Water segmentation (powered by OmniWaterMask) 7. Export results in vector and raster formats 8. Export training data in COCO, YOLO, and Pascal VOC formats 📘 Documentation: https://opengeoai.org/qgis_plugin 💻 GitHub: https://github.com/opengeos/geoai 📺 Full video tutorial:    • GeoAI QGIS Plugin v1.0: One-Click Installa...   The one-click installation was inspired by TerraLab's AI Segmentation plugin: https://github.com/TerraLabAI/QGIS_AI.... Credits to the TerraLab AI Team. If you find the plugin useful, please give it a thumbs-up ⭐ on the QGIS plugin page: https://plugins.qgis.org/plugins/geoai 00:00 Introduction to GeoAI QGIS Plugin v1.0 00:39 What’s new in v1.0 01:56 Remove old plugin (if previously installed) 02:20 Install from QGIS Plugin Manager 02:58 New tools overview (instant + water segmentation) 03:20 One-click environment setup (GPU/CPU) 04:20 SAM model access via Hugging Face 05:21 How the new isolated environment works 07:03 Download sample data 09:31 Installation complete: launch plugin 10:37 Verify GPU and model loading 11:16 Segment by text demo 13:35 Segment by box demo 14:20 Water segmentation demo 18:00 Export segmentation to vector 19:05 Troubleshooting and memory tips 20:05 Wrap-up and where to report issues #GeoAI #QGIS #GIS #RemoteSensing #Geospatial #OpenSource --------------------------------------------------------- 📌 More Resources: 📺 GeoAI Playlist:    • GeoAI Tutorials   📚 Get My Books: 📘 Introduction to GIS Programming: A Practical Python Guide to Open Source Geospatial Tools 👉 Amazon: https://amazon.com/dp/B0FFW34LL3 👉 Leanpub: https://leanpub.com/gispro 📘 Spatial Data Management with DuckDB: From SQL Basics to Advanced Geospatial Analytics 👉 Amazon: https://amazon.com/dp/B0G2JFMFFC 👉 Leanpub: https://leanpub.com/duckdb 👋 Let’s Connect: YouTube:    / @giswqs   LinkedIn:   / giswqs   Twitter:   / giswqs   Facebook:   / opengeos