Tools tagged with "Machine Learning"

Turn location data into insightful answers with high-resolution aerial maps and location intelligence.

Satellite image time series analysis for Earth Observation data cubes.

An open-source online book providing an introduction to geographic data science using R.

A curated list of conservation-related labeled datasets not hosted on LILA.

A PyTorch implementation of Google Research's MetNet and MetNet-2 for advanced weather forecasting.

Providing diverse datasets for research in computer vision, image processing, and pattern recognition.

A Python package for robust point cloud registration using various probabilistic models.

A curated collection of papers, data, and repositories related to super-resolution.

Learn to work with geographic data in Python through practical, open-source geocomputation.

A state-of-the-art deep learning library for parsing multinational street addresses.

AI models for classifying wildlife in images from motion-triggered camera traps.

A Python package for segmenting geospatial data with the Segment Anything Model (SAM).

ML Flood Finder Package for Sentinel 1 (SAR) Imagery

Microsoft's advanced simulation platform for building, training, and testing autonomous systems.

Microsoft offers a global dataset of road detections derived from Bing Maps aerial imagery, freely available for download.

OpenCV provides a real-time optimized Computer Vision library, tools, and hardware for ML and AI applications.

A comprehensive platform offering extensive labeled datasets of wildlife imagery for machine learning and computer vision research.

A curated list of papers focusing on geospatial embeddings for Earth data representation.

LiveEO delivers satellite-powered infrastructure and supply chain monitoring, helping organizations detect risks, ensure compliance, and act faster.

Delivering real-time global intelligence and insights through a constellation of Earth observation satellites.

Unlock the power of AI image intelligence for precise photo geolocation.

A learning plan to integrate AI, ML, and DL with GIS for solving geographic problems.

Hexagon measures the world and shapes its future.

Graph-based weather forecasting models implemented in PyTorch.

Worldwide building footprints derived from satellite imagery, freely available for global use.

Improve your Geolocation skills with this comprehensive list of OSINT resources.

Exploring GIS, geospatial, and remote sensing through expert interviews and discussions on the latest technology.

Access high-resolution optical imagery from the Sentinel-2 mission, freely available on the Registry of Open Data on AWS.

Provides high-resolution, long-term global and China-specific datasets for ground-level air pollutants using artificial intelligence.

A resolution-agnostic foundation model for field boundary delineation on satellite imagery.

Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More...

An open, user-friendly, and customizable global crop mapping system supporting global food security.

Provides open AI-generated global super-resolution geospatial imagery, updated frequently.

APIs and SDKs for AI-powered maps, navigation, search, and geospatial data.

An urban-scale point cloud dataset for semantic segmentation research with billions of annotated points.

Bringing together Geospatial, Analytics & Data Science professionals to discuss advances in spatial analytics.