Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

🚀 A brand-new feature is coming to the SAMGeo Python package: interactive remote-sensing image segmentation with text prompts powered by SAM3. This update makes geospatial segmentation even more intuitive: just describe what you want to detect, and let GeoAI do the rest. ✨ GitHub PR: #GeoAI #SAM3 #OpenSource #Python

giswqs's profile picture

Qiusheng Wu

54,923 subscribers

33,059 Aufrufe • vor 10 Monaten •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

7 Kommentare

Profilbild von sonyx.eth
sonyx.ethvor 10 Monaten

like can it be used in qgis

Profilbild von Qiusheng Wu
Qiusheng Wuvor 10 Monaten

Yes, as long as you can install samgeo

Profilbild von sonyx.eth
sonyx.ethvor 10 Monaten

hmm will have to do some research i guess but thnx will try not a code scientist but phd in architecture

Profilbild von Brad Dwyer
Brad Dwyervor 10 Monaten

Were you able to fine-tune SAM3 while retaining its ability to do text prompts?

Profilbild von Qiusheng Wu
Qiusheng Wuvor 10 Monaten

I haven't added fine-tuning functionality yet. The demo uses the original SAM3 model.

Profilbild von 遥望行止
遥望行止vor 10 Monaten

去试一下，吴老师牛

Profilbild von Tomey
Tomeyvor 10 Monaten

This is nice, would be great if there is plugin for this in QGIS

Ähnliche Videos

🚀 SamGeo v0.14.0 is here! This release brings interactive segmentation for remote sensing imagery powered by Meta’s SAM3. 🟦 Draw a bounding box to automatically detect all similar objects across the image. 📝 Or just type a text prompt to segment objects instantly. No complex setup. No manual labeling. Just intuitive, AI-driven geospatial analysis. 🔗 GitHub: 🧪 Notebook: #SAM3 #GeoAI #Geospatial #OpenSource #Python #DataScience
1:04

🚀 SamGeo v0.14.0 is here! This release brings interactive segmentation for remote sensing imagery powered by Meta’s SAM3. 🟦 Draw a bounding box to automatically detect all similar objects across the image. 📝 Or just type a text prompt to segment objects instantly. No complex setup. No manual labeling. Just intuitive, AI-driven geospatial analysis. 🔗 GitHub: 🧪 Notebook: #SAM3 #GeoAI #Geospatial #OpenSource #Python #DataScience

Qiusheng Wu

33,700 Aufrufe • vor 10 Monaten

🚀 The GeoAI QGIS Plugin is here 🔥 You can run Moondream vision-language models, object detection, image segmentation (SAM 3), and even train your own geospatial segmentation model end-to-end. Website: GitHub: Short demo: Full video tutorial: #QGIS #GeoAI #SAM3 #Geospatial #DeepLearning #ComputerVision #OpenSource #Python
2:11

🚀 The GeoAI QGIS Plugin is here 🔥 You can run Moondream vision-language models, object detection, image segmentation (SAM 3), and even train your own geospatial segmentation model end-to-end. Website: GitHub: Short demo: Full video tutorial: #QGIS #GeoAI #SAM3 #Geospatial #DeepLearning #ComputerVision #OpenSource #Python

Qiusheng Wu

11,738 Aufrufe • vor 10 Monaten

The GeoAI Python package now supports interactive segmentation of remote sensing imagery with the Moondream AI Vision Language Models (VLMs), which provides powerful and efficient visual reasoning. A great alternative to Meta's SAM 3. GitHub: Notebook example: #GeoAI #geospatial #AI #opensource
0:59

The GeoAI Python package now supports interactive segmentation of remote sensing imagery with the Moondream AI Vision Language Models (VLMs), which provides powerful and efficient visual reasoning. A great alternative to Meta's SAM 3. GitHub: Notebook example: #GeoAI #geospatial #AI #opensource

Qiusheng Wu

11,786 Aufrufe • vor 10 Monaten

QGIS GeoAI Plugin v0.5.0 is out! I just released v0.5.0 of the QGIS GeoAI Plugin, bringing interactive image segmentation powered by DeepForest ( to your desktop GIS workflow. With this update, you can load pretrained DeepForest models to segment real-world objects such as trees, birds, livestock, dead trees, and more, directly inside QGIS. Try it out: Documentation: GitHub: #deepforest #geoai #QGIS #geospatial #OpenSource
0:23

QGIS GeoAI Plugin v0.5.0 is out! I just released v0.5.0 of the QGIS GeoAI Plugin, bringing interactive image segmentation powered by DeepForest ( to your desktop GIS workflow. With this update, you can load pretrained DeepForest models to segment real-world objects such as trees, birds, livestock, dead trees, and more, directly inside QGIS. Try it out: Documentation: GitHub: #deepforest #geoai #QGIS #geospatial #OpenSource

Qiusheng Wu

21,385 Aufrufe • vor 8 Monaten

🚀 Exciting update! The GeoAI Python package is getting even smarter — soon it will support AI agents. That means you’ll be able to use natural language to effortlessly download, analyze, and visualize geospatial data without coding 🌍🤖 Stay tuned for the upcoming release! 🔗 GitHub: #geospatial #GeoAI #Python #AI
0:36

🚀 Exciting update! The GeoAI Python package is getting even smarter — soon it will support AI agents. That means you’ll be able to use natural language to effortlessly download, analyze, and visualize geospatial data without coding 🌍🤖 Stay tuned for the upcoming release! 🔗 GitHub: #geospatial #GeoAI #Python #AI

Qiusheng Wu

17,073 Aufrufe • vor 1 Jahr

🚀 Exciting news! The GeoAI Python package just got a major upgrade. It now supports interactive geospatial data visualization powered by AI Agents. 🌍✨ GitHub: Full tutorial: 🌍 In this tutorial, you’ll learn how to build interactive maps powered by AI agents that respond to natural language queries. Watch how you can fly to any city, add raster or vector layers, visualize 3D buildings, and explore geospatial data—all without writing code. Perfect for developers, researchers, and anyone curious about AI, GIS, and interactive mapping. #geospatial #mapping #python #GeoAI #AI
1:16

🚀 Exciting news! The GeoAI Python package just got a major upgrade. It now supports interactive geospatial data visualization powered by AI Agents. 🌍✨ GitHub: Full tutorial: 🌍 In this tutorial, you’ll learn how to build interactive maps powered by AI agents that respond to natural language queries. Watch how you can fly to any city, add raster or vector layers, visualize 3D buildings, and explore geospatial data—all without writing code. Perfect for developers, researchers, and anyone curious about AI, GIS, and interactive mapping. #geospatial #mapping #python #GeoAI #AI

Qiusheng Wu

12,908 Aufrufe • vor 1 Jahr

🚀 GeoAI Tutorial 23: Building Detection from Aerial Imagery and LiDAR Data 🏙️🛰️ In this tutorial, I demonstrate how to train a deep learning segmentation model for building detection by combining aerial/satellite imagery with LiDAR data. You'll learn how to fuse multi-source remote sensing data to improve model accuracy and robustness. 🔗 Tutorial video: 📓 Notebook example: 💻 GitHub repo: 📚 Documentation: 🎥 Full playlist: #GeoAI #geospatial #AI #Python #DeepLearning
0:21

🚀 GeoAI Tutorial 23: Building Detection from Aerial Imagery and LiDAR Data 🏙️🛰️ In this tutorial, I demonstrate how to train a deep learning segmentation model for building detection by combining aerial/satellite imagery with LiDAR data. You'll learn how to fuse multi-source remote sensing data to improve model accuracy and robustness. 🔗 Tutorial video: 📓 Notebook example: 💻 GitHub repo: 📚 Documentation: 🎥 Full playlist: #GeoAI #geospatial #AI #Python #DeepLearning

Qiusheng Wu

12,331 Aufrufe • vor 1 Jahr

Agricultural Field Boundary Delineation (Instance Segmentation) with GeoAI Learn an end-to-end GeoAI workflow for agricultural field boundary delineation using instance segmentation and the Fields of the World dataset ( This workflow can be adapted to detect other object types (not just field boundaries) as long as training data is available. Video tutorial: Notebook: Web app: #geoai #geospatial #deeplearing
0:36

Agricultural Field Boundary Delineation (Instance Segmentation) with GeoAI Learn an end-to-end GeoAI workflow for agricultural field boundary delineation using instance segmentation and the Fields of the World dataset ( This workflow can be adapted to detect other object types (not just field boundaries) as long as training data is available. Video tutorial: Notebook: Web app: #geoai #geospatial #deeplearing

Qiusheng Wu

20,089 Aufrufe • vor 7 Monaten

🚀 I am very excited to release the SamGeo QGIS plugin for geospatial image segmentation, powered by Meta’s Segment Anything Model (SAM 3) In this full tutorial, I’ll walk you through how to install, configure, and start segmenting satellite imagery in QGIS without writing a single line of code! 👉 Download the plugin here: 💻 Full video tutorial: #QGIS #SegmentAnything #SAM #GeoAI #RemoteSensing
0:57

🚀 I am very excited to release the SamGeo QGIS plugin for geospatial image segmentation, powered by Meta’s Segment Anything Model (SAM 3) In this full tutorial, I’ll walk you through how to install, configure, and start segmenting satellite imagery in QGIS without writing a single line of code! 👉 Download the plugin here: 💻 Full video tutorial: #QGIS #SegmentAnything #SAM #GeoAI #RemoteSensing

Qiusheng Wu

29,228 Aufrufe • vor 10 Monaten

1,890 swimming pools found across a 5 square mile suburban neighborhood with zero-shot image segmentation. Lower the confidence threshold to find even more! Use the interactive explorer in the {geosam} R package to try out Meta's SAM3 for satellite imagery analysis yourselves.
1:00

1,890 swimming pools found across a 5 square mile suburban neighborhood with zero-shot image segmentation. Lower the confidence threshold to find even more! Use the interactive explorer in the {geosam} R package to try out Meta's SAM3 for satellite imagery analysis yourselves.

Kyle Walker

50,572 Aufrufe • vor 6 Monaten

🚀 GeoAI Tutorial 12: Wetland Mapping with Deep Learning and GeoAI! 🌍 Unlock the power of your geospatial data! Learn to train an wetland detection model and run inference on large datasets—all with just a few lines of code. 🎥 Watch the full tutorial here: 📓 Explore the notebook: 🛠️ Check out the GitHub repository: 📚 Dive into the documentation: 📺 Check out the entire YouTube playlist: #GeoAI #geospatial #AI #Python #DeepLearning
0:20

🚀 GeoAI Tutorial 12: Wetland Mapping with Deep Learning and GeoAI! 🌍 Unlock the power of your geospatial data! Learn to train an wetland detection model and run inference on large datasets—all with just a few lines of code. 🎥 Watch the full tutorial here: 📓 Explore the notebook: 🛠️ Check out the GitHub repository: 📚 Dive into the documentation: 📺 Check out the entire YouTube playlist: #GeoAI #geospatial #AI #Python #DeepLearning

Qiusheng Wu

16,643 Aufrufe • vor 1 Jahr

Just received a proof copy of my new GeoAI book from Amazon! The printing quality is very good. It is now the #1 best-seller in GIS, Remote Sensing, and Computer Programming Languages. Grab your packpaer copy here: PDF edition available in English, Spanish, Chinese, French, and German: #geospatial #geoai #opensource
1:29

Just received a proof copy of my new GeoAI book from Amazon! The printing quality is very good. It is now the #1 best-seller in GIS, Remote Sensing, and Computer Programming Languages. Grab your packpaer copy here: PDF edition available in English, Spanish, Chinese, French, and German: #geospatial #geoai #opensource

Qiusheng Wu

36,083 Aufrufe • vor 7 Monaten

The new SAM3 model from Meta is blowing my mind Shown here: detecting putting greens, pools, and cars in Scottsdale from simple text prompts via Mapbox imagery R, Shiny, mapgl for the UI; Python backend via Qiusheng Wu's segment-geospatial package (thanks Qiusheng!)
0:43

The new SAM3 model from Meta is blowing my mind Shown here: detecting putting greens, pools, and cars in Scottsdale from simple text prompts via Mapbox imagery R, Shiny, mapgl for the UI; Python backend via Qiusheng Wu's segment-geospatial package (thanks Qiusheng!)

Kyle Walker

43,979 Aufrufe • vor 10 Monaten

Found the perfect sport to stress test Meta's SAM3 person segmentation. Dense crowds, extreme motion, zero structure. This is as tough as it gets, and SAM3 nailed it.
0:26

Found the perfect sport to stress test Meta's SAM3 person segmentation. Dense crowds, extreme motion, zero structure. This is as tough as it gets, and SAM3 nailed it.

Dilum Sanjaya

157,967 Aufrufe • vor 10 Monaten

🚀 GeoAI Tutorial 6: Building Footprint Regularization Using Deep Learning and GeoAI! 🌍 Learn how to regularize building footprints detected from aerial imagery with three different regularization techniques. Transform building footprints with rugged edges into smooth and rectangular shapes. 🎥 Watch the full tutorial here: 📓 Access the notebook: 🛠️ Explore the GitHub repository: 📚 Dive into the documentation: 📺 Check out the entire YouTube playlist: #GeoAI #geospatial #AI #Python
0:36

🚀 GeoAI Tutorial 6: Building Footprint Regularization Using Deep Learning and GeoAI! 🌍 Learn how to regularize building footprints detected from aerial imagery with three different regularization techniques. Transform building footprints with rugged edges into smooth and rectangular shapes. 🎥 Watch the full tutorial here: 📓 Access the notebook: 🛠️ Explore the GitHub repository: 📚 Dive into the documentation: 📺 Check out the entire YouTube playlist: #GeoAI #geospatial #AI #Python

Qiusheng Wu

16,628 Aufrufe • vor 1 Jahr

🚀 Excited to share a new tutorial on how to detect buildings 🏘️using the Segment Anything Model 2 (SAM 2) with Segment-Geospatial! You can choose interactive segmentation or utilize a GeoJSON file with building centroids or bounding boxes to do automated building detection. 📹 Check out the video tutorial: 📓 Explore the notebook: #Geospatial #OpenSource #AI #MachineLearning
0:49

🚀 Excited to share a new tutorial on how to detect buildings 🏘️using the Segment Anything Model 2 (SAM 2) with Segment-Geospatial! You can choose interactive segmentation or utilize a GeoJSON file with building centroids or bounding boxes to do automated building detection. 📹 Check out the video tutorial: 📓 Explore the notebook: #Geospatial #OpenSource #AI #MachineLearning

Qiusheng Wu

72,345 Aufrufe • vor 2 Jahren

🚀 Sneak Peek: Interactive Visualization of the Planet Tanager Hyperspectral Data ( Using the HyperCoast Python package Stay tuned for notebook examples and video tutorials. GitHub: #geospatial #Tanager #Python #DataScience
0:56

🚀 Sneak Peek: Interactive Visualization of the Planet Tanager Hyperspectral Data ( Using the HyperCoast Python package Stay tuned for notebook examples and video tutorials. GitHub: #geospatial #Tanager #Python #DataScience

Qiusheng Wu

16,642 Aufrufe • vor 1 Jahr

🚀 Excited to announce the publication of our latest paper in the Journal of Open Source Software! 🎉 bingqing liu 📖 Title: HyperCoast: A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments 🔗 GitHub: 🌐 Website: 📄 Paper: #Geospatial #OpenSource #DataViz #Python
2:29

🚀 Excited to announce the publication of our latest paper in the Journal of Open Source Software! 🎉 bingqing liu 📖 Title: HyperCoast: A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments 🔗 GitHub: 🌐 Website: 📄 Paper: #Geospatial #OpenSource #DataViz #Python

Qiusheng Wu

17,416 Aufrufe • vor 2 Jahren

🚀 New Tutorial Alert! I just published a step-by-step guide on building an interactive dashboard with Python and Leafmap. 🌍📊 Explore the Jupyter Notebook: Watch the full video tutorial: #leafmap #geospatial #python #dataviz
0:31

🚀 New Tutorial Alert! I just published a step-by-step guide on building an interactive dashboard with Python and Leafmap. 🌍📊 Explore the Jupyter Notebook: Watch the full video tutorial: #leafmap #geospatial #python #dataviz

Qiusheng Wu

16,828 Aufrufe • vor 1 Jahr