I recommend WALDO and WALDOv2 by Stephan Sturges for people working on GIS mapping with object detection, as they are among the most popular tools. #gis #objectdetection #genai #geoai
7 repositories with pre-trained GeoAI models for GIS. Whether you're working with imagery, land cover mapping, or object detection in GIS, these resources will offer the tools and models you need to get started. 1. TensorFlow Hub A collection of pre-trained models for tasks like satellite image analysis and segmentation (stored in Kaggle): https://tfhub.dev 2. Model Zoo for PyTorch Pre-trained models such as ResNet and Faster R-CNN, ideal for remote sensing and geospatial workflows. https://lnkd.in/dBSB-_Wz 3. Hugging Face Model Hub Hosts models for computer vision and time-series data, useful for geospatial tasks like land use analysis. https://lnkd.in/dWDd3K67 4. IBM Model Asset eXchange (MAX) Open-source pre-trained models for image recognition and object detection, useful in GIS applications. https://lnkd.in/dutju2wc 5. NVIDIA NGC High-performance AI models for large-scale geospatial workflows like object detection and 3D modeling. https://lnkd.in/d2ebB-rf 6. Radiant MLHub Curated datasets and pre-trained models for remote sensing and Earth observation. (during transition to Source Cooperative) https://mlhub.earth/ 7. ArcGIS Living Atlas Comprehensive geospatial layers and datasets, perfect for AI model training in GIS workflows using ArcGIS tools. Pro tip, search “dlpk” https://lnkd.in/dZDZQ6U8 Video: GeoAI examples from ArcGIS Living Atlas. #gis #geoai #mapping #imageprocessing --- Have you found value? Reposting means a lot, thank you 🫡 Click Arkadiusz and follow for more 📬