Stars
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Package for Explanations of Remote Sensing Imagery
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
World's first Virtual Satellite that you can connect with MCP
🛰️ GeoAI.js is a javascript library for use with transformers.js to perform GeoAI on the frontend
OmniCloudMask is a Python library for fast, accurate cloud and cloud shadow segmentation in satellite imagery.
TerraMind is the first any-to-any generative foundation model for Earth Observation, built by IBM and ESA.
Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.
Spatial Representations for Artificial Intelligence - a Python library toolkit for geospatial machine learning focused on creating embeddings for downstream tasks
Parameter-Efficient Fine-Tuning for Geospatial Foundation Models
Datasets for deep learning with satellite & aerial imagery
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
Long list of geospatial tools and resources
Reference PyTorch implementation and models for DINOv3
Road detections from Microsoft Maps aerial imagery
A number of utilities for use in conjunction with GDAL.
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
This repository provides inference code to compute canopy height maps from aerial images, as described in the paper "Very high resolution canopy height maps from RGB imagery using self-supervised v…
A comprehensive and up-to-date compilation of datasets, tools, methods, review papers, and competitions for remote sensing change detection.
Techniques for deep learning with satellite & aerial imagery
An extremely fast Python package and project manager, written in Rust.
A Python interface for the Generic Mapping Tools.
Code and tutorials to visualise your data that is both beautiful *and* statistically valid
GeoAI: Artificial Intelligence for Geospatial Data