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Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).
An open source library and framework for deep learning on satellite and aerial imagery.
[CVPR 2025] Magma: A Foundation Model for Multimodal AI Agents
[ICLR 2025] LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs
GeoAI: Artificial Intelligence for Geospatial Data
Worldwide building footprints derived from satellite imagery
Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API 🔥
GeoNode is an open source platform that facilitates the creation, sharing, and collaborative use of geospatial data.
Earth observation processing framework for machine learning in Python
Novel Coronavirus 2019 time series data on cases
Official code for "Towards An End-to-End Framework for Flow-Guided Video Inpainting" (CVPR2022)
Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
Build your own Raster dynamic map tile services
PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.
🌐 List & Map of 700+ companies for geospatial jobs (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)
Use Code Llama with Visual Studio Code and the Continue extension. A local LLM alternative to GitHub Copilot.
User friendly Rasterio plugin to read raster datasets.
LLM2CLIP makes SOTA pretrained CLIP model more SOTA ever.
🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
Free and open source library for AI object detection and semantic segmentation in geospatial rasters. 🚀
Detailed visual + nutritional data for over 5,000 plates of food.
An implementation of pgvectorscale to a build powerful RAG solutions.
AROSICS - Automated and Robust Open-Source Image Co-Registration Software
Download tiles from Tile Map Server (online maps) and make a large geo-referenced image
A toolkit that enables building damage assessments from remotely sensed imagery.