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🚀 The #GeoAI Python package now supports feature segmentation from high-resolution satellite and aerial imagery using text prompts, such as trees, buildings, etc. It efficiently processes large datasets with automatic tiling and can save results as a single image. Stay tuned for more features coming soon! 📓 Access the...

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Qiusheng Wu

46,112 subscribers

13,738 görüntüleme • 1 yıl önce •via X (Twitter)

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🚀 A sneak peek of a new feature in the #GeoAI Python package! Now you can train an image segmentation model for extracting features (e.g., buildings) from satellite or aerial imagery—all with just a few lines of code. 🛠️ Check out the GitHub repository: 📚 Dive into the documentation: 📺 Check out the entire YouTube playlist: #GeoAI #geospatial #AI #Python #DeepLearning
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🚀 A sneak peek of a new feature in the #GeoAI Python package! Now you can train an image segmentation model for extracting features (e.g., buildings) from satellite or aerial imagery—all with just a few lines of code. 🛠️ Check out the GitHub repository: 📚 Dive into the documentation: 📺 Check out the entire YouTube playlist: #GeoAI #geospatial #AI #Python #DeepLearning

Qiusheng Wu

11,284 görüntüleme • 1 yıl önce

🚀 I spent the entire day training image segmentation models from scratch! I've created several pretrained models to detect features like buildings, cars, ships, solar panels, and wetlands. Video tutorials are coming soon! 🤗 Check out the pretrained models on Hugging Face: 🛠️ Check out the GitHub repository: 📚 Dive into the documentation: 📺 Check out the entire YouTube playlist: #GeoAI #geospatial #AI #Python #DeepLearning
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🚀 I spent the entire day training image segmentation models from scratch! I've created several pretrained models to detect features like buildings, cars, ships, solar panels, and wetlands. Video tutorials are coming soon! 🤗 Check out the pretrained models on Hugging Face: 🛠️ Check out the GitHub repository: 📚 Dive into the documentation: 📺 Check out the entire YouTube playlist: #GeoAI #geospatial #AI #Python #DeepLearning

Qiusheng Wu

15,071 görüntüleme • 1 yıl önce

A sneak peek of a new feature in the #GeoAI Python package! 🎉 Now you can detect cars from georeferenced aerial imagery using deep learning—all with just a few lines of code. Stay tuned for an in-depth video tutorial coming soon! 🛠️ Explore the GitHub repository: 📚 Dive into the documentation: 📺 Check out the entire YouTube playlist:
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A sneak peek of a new feature in the #GeoAI Python package! 🎉 Now you can detect cars from georeferenced aerial imagery using deep learning—all with just a few lines of code. Stay tuned for an in-depth video tutorial coming soon! 🛠️ Explore the GitHub repository: 📚 Dive into the documentation: 📺 Check out the entire YouTube playlist:

Qiusheng Wu

45,624 görüntüleme • 1 yıl önce

The GeoAI Python package now supports object detection using pre-trained models from the GeoDeep libarary ( The supported object types include cars, trees, birds, planes, aerovision, utilities, buildings, and roads. Try it out: GitHub: Notebook example: #geospatial #geoai #opensource #python
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The GeoAI Python package now supports object detection using pre-trained models from the GeoDeep libarary ( The supported object types include cars, trees, birds, planes, aerovision, utilities, buildings, and roads. Try it out: GitHub: Notebook example: #geospatial #geoai #opensource #python

Qiusheng Wu

86,855 görüntüleme • 2 ay önce

🚀 Exciting news! The #GeoAI Python package now lets you train land cover classification models with just one line of code. Leverage any PyTorch segmentation model from — with hundreds of image encoders & pretrained weights available. 📍 GitHub: 📓 Notebook: #GeoAI #Geospatial #DeepLearning
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🚀 Exciting news! The #GeoAI Python package now lets you train land cover classification models with just one line of code. Leverage any PyTorch segmentation model from — with hundreds of image encoders & pretrained weights available. 📍 GitHub: 📓 Notebook: #GeoAI #Geospatial #DeepLearning

Qiusheng Wu

16,150 görüntüleme • 11 ay önce

Introducing segment-geospatial, A Python package for segmenting geospatial data with the Segment Anything Model (SAM) GitHub: Docs: Notebook: #segmentanything #deeplearning #geopython
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Introducing segment-geospatial, A Python package for segmenting geospatial data with the Segment Anything Model (SAM) GitHub: Docs: Notebook: #segmentanything #deeplearning #geopython

Qiusheng Wu

312,328 görüntüleme • 3 yıl önce

Create Stunning Time-Series Satellite Images in Seconds! The GEE Data Catalogs Plugin v0.5 for QGIS is now available and it's a powerful upgrade. You can now create time-series satellite imagery with just a few clicks using a simple interface. The new version also supports direct downloads to your computer, making the workflow faster and more efficient. Key Features: - Access over 80 petabytes of satellite and geospatial datasets from Google Earth Engine - Generate animated time-series imagery effortlessly - Export results directly from QGIS to your local machine Useful Links: QGIS Plugin Page: GitHub Repository: Video Tutorial: #QGIS #geospatial #EarthEngine #Python #datascience #satellite
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Create Stunning Time-Series Satellite Images in Seconds! The GEE Data Catalogs Plugin v0.5 for QGIS is now available and it's a powerful upgrade. You can now create time-series satellite imagery with just a few clicks using a simple interface. The new version also supports direct downloads to your computer, making the workflow faster and more efficient. Key Features: - Access over 80 petabytes of satellite and geospatial datasets from Google Earth Engine - Generate animated time-series imagery effortlessly - Export results directly from QGIS to your local machine Useful Links: QGIS Plugin Page: GitHub Repository: Video Tutorial: #QGIS #geospatial #EarthEngine #Python #datascience #satellite

Qiusheng Wu

14,019 görüntüleme • 4 ay önce

segment-geospatial v0.3.0 is out - segmenting satellite imagery with the Segment Anything Model (SAM). GitHub: Docs: Notebook: #segmentanything #deeplearning #geopython #geospatial
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segment-geospatial v0.3.0 is out - segmenting satellite imagery with the Segment Anything Model (SAM). GitHub: Docs: Notebook: #segmentanything #deeplearning #geopython #geospatial

Qiusheng Wu

207,094 görüntüleme • 3 yıl önce

Google just released the AlphaEarth Foundations with 64 dimensions of satellite embeddings at 10-m resolution at the global scale! It is very interesting! Check it out Blog post: Dataset: Paper: #AI #geospatial #remotesensing #geoai
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Google just released the AlphaEarth Foundations with 64 dimensions of satellite embeddings at 10-m resolution at the global scale! It is very interesting! Check it out Blog post: Dataset: Paper: #AI #geospatial #remotesensing #geoai

Qiusheng Wu

47,006 görüntüleme • 10 ay önce

Check out this 📹 step-by-step tutorial on how to visualize and download 🛰️ satellite images of the #Morocco earthquake using the Maxar Open Data on #AWS. Video: Web App: GitHub: Notebook: #moroccoearthquake #geospatial #dataviz #python
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Check out this 📹 step-by-step tutorial on how to visualize and download 🛰️ satellite images of the #Morocco earthquake using the Maxar Open Data on #AWS. Video: Web App: GitHub: Notebook: #moroccoearthquake #geospatial #dataviz #python

Qiusheng Wu

56,004 görüntüleme • 2 yıl önce

📢Visualize hyperspectral data in 3D 🌍 with just a few lines of code using the HyperCoast #Python package . It supports popular datasets like AVIRIS, DESIS, EMIT, PACE, and NEON AOP. GitHub: Notebook: bingqing liu #geospaptial #hyperspectral #nasa #dataviz
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📢Visualize hyperspectral data in 3D 🌍 with just a few lines of code using the HyperCoast #Python package . It supports popular datasets like AVIRIS, DESIS, EMIT, PACE, and NEON AOP. GitHub: Notebook: bingqing liu #geospaptial #hyperspectral #nasa #dataviz

Qiusheng Wu

13,498 görüntüleme • 2 yıl önce

Display a video on an interactive map 🗺️ with #MapLibre and #Leafmap. Check it out: Map: GitHub: Notebook: #geospatial #opensource #dataviz #python
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Display a video on an interactive map 🗺️ with #MapLibre and #Leafmap. Check it out: Map: GitHub: Notebook: #geospatial #opensource #dataviz #python

Qiusheng Wu

34,823 görüntüleme • 1 yıl önce

Cloud and Cloud Shadow Detection From Satellite Imagery with GeoAI and OmniCloudMask In this tutorial, you’ll detect clouds and cloud shadows, compute cloud statistics, clean segmentation outputs, convert raster masks to vectors, smooth boundaries, and generate a cloud-free mask for downstream remote sensing analysis. This workflow works with imagery that includes Red, Green, and NIR bands (e.g., Landsat, Sentinel-2, NAIP, and other commercial data). Notebook: Video tutorial: #geospatial #remotesensing #geoai
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Cloud and Cloud Shadow Detection From Satellite Imagery with GeoAI and OmniCloudMask In this tutorial, you’ll detect clouds and cloud shadows, compute cloud statistics, clean segmentation outputs, convert raster masks to vectors, smooth boundaries, and generate a cloud-free mask for downstream remote sensing analysis. This workflow works with imagery that includes Red, Green, and NIR bands (e.g., Landsat, Sentinel-2, NAIP, and other commercial data). Notebook: Video tutorial: #geospatial #remotesensing #geoai

Qiusheng Wu

11,429 görüntüleme • 2 ay önce

Removing clouds from satellite images with a few clicks using That's fun. Try it out: Image source: #AI #deeplearning #geospatial
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Removing clouds from satellite images with a few clicks using That's fun. Try it out: Image source: #AI #deeplearning #geospatial

Qiusheng Wu

103,400 görüntüleme • 3 yıl önce

Tree extraction from satellite imagery using segment-geospatial v0.5 and the Segment Anything Model (SAM) - by Lucas Prado Osco LinkedIn post: Notebook: #geospatial #segmentanything
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Tree extraction from satellite imagery using segment-geospatial v0.5 and the Segment Anything Model (SAM) - by Lucas Prado Osco LinkedIn post: Notebook: #geospatial #segmentanything

Qiusheng Wu

40,463 görüntüleme • 3 yıl önce

🚀 MapLibre Tutorial 15: Create stunning 3D maps using OpenFreeMap vector tiles—all with just a few lines of code! Best of all, it’s completely FREE and requires no API key! 🎥 Watch the video: 📚 Explore the playlist: 📝 Check out the notebook: 🌐 Try the demo: To learn more about OpenFreeMap, visit #geospatial #opensource #leafmap #maplibre
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🚀 MapLibre Tutorial 15: Create stunning 3D maps using OpenFreeMap vector tiles—all with just a few lines of code! Best of all, it’s completely FREE and requires no API key! 🎥 Watch the video: 📚 Explore the playlist: 📝 Check out the notebook: 🌐 Try the demo: To learn more about OpenFreeMap, visit #geospatial #opensource #leafmap #maplibre

Qiusheng Wu

20,690 görüntüleme • 1 yıl önce

Gen-3 Alpha Image to Video now supports using an image as either the first or last frame of your video generation. This feature can be used on its own or combined with a text prompt for additional guidance. All examples below demonstrate using an image as the last frame. (1/5)
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Gen-3 Alpha Image to Video now supports using an image as either the first or last frame of your video generation. This feature can be used on its own or combined with a text prompt for additional guidance. All examples below demonstrate using an image as the last frame. (1/5)

Runway

143,425 görüntüleme • 1 yıl önce

I created a prompt library for the new GPT image API. I vibe coded it this morning with Replit Agent. It allows me to save prompts as well as run multi-variant generations. The app supports batch uploads and has some other cool features: - Auth with Replit Auth - Object Storage for images - DB for users / prompts / sessions - Image compression for efficiency - Parallel calls to OpenAI for image gen
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I created a prompt library for the new GPT image API. I vibe coded it this morning with Replit Agent. It allows me to save prompts as well as run multi-variant generations. The app supports batch uploads and has some other cool features: - Auth with Replit Auth - Object Storage for images - DB for users / prompts / sessions - Image compression for efficiency - Parallel calls to OpenAI for image gen

matt palmer

38,736 görüntüleme • 1 yıl önce

🚀Rodin Gen-1 is the largest 3D-native #GenerativeAI, which is same as #SD. Besides its ability to generate #3D model and #PBR material, it can also creates objects from simple shapes with prompts, so called 3D-to-3D.🔥 We will soon reveal more features. Stay tuned!
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🚀Rodin Gen-1 is the largest 3D-native #GenerativeAI, which is same as #SD. Besides its ability to generate #3D model and #PBR material, it can also creates objects from simple shapes with prompts, so called 3D-to-3D.🔥 We will soon reveal more features. Stay tuned!

Hyper3D by Deemos

86,230 görüntüleme • 2 yıl önce

Introducing marimo AI ✨ Go from idea to Python (or SQL) notebook in seconds — — play with the notebook in our WebAssembly playground‚ or run it locally with the open-source marimo notebook.
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Introducing marimo AI ✨ Go from idea to Python (or SQL) notebook in seconds — — play with the notebook in our WebAssembly playground‚ or run it locally with the open-source marimo notebook.

marimo

12,906 görüntüleme • 1 yıl önce