Tools tagged with "Segmentation"

A blog exploring advanced drone LiDAR mapping, AI segmentation, and UAS operational insights for geospatial professionals.

A unified framework for end-to-end segmentation of forest LiDAR 3D point clouds.

This course provides essential Machine Learning skills tailored for Earth Observation research.

Generate and process large-scale geospatial datasets with Google Earth Engine for AI research.

An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.

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

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

ML Flood Finder Package for Sentinel 1 (SAR) Imagery

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.

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

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

An open-source R package for the vectorization of road networks from geospatial data.

A Python library for fast, accurate cloud and cloud shadow segmentation in satellite imagery.

AI-powered platform for automatic and manual 3D point cloud classification and analysis.

An open-source project for detecting mining activity using geospatial data.

A curated list of ground-truth forest datasets for machine learning and forestry research.

A Python package for airborne RGB machine learning in ecology.

An open-source 3D point cloud and mesh processing software.

A comprehensive open-source library for advanced 2D/3D point cloud processing and analysis.

Refining Road Surfaces Beyond Planar Representations for Autonomous Driving and Virtual Worlds.

A unique open-source machine learning dataset featuring real and synthetic satellite imagery for aircraft detection.

A Python library for computing geometric features from point cloud data.

An R package for airborne LiDAR data manipulation and visualization, primarily for forestry applications.

A curated dataset of manually labeled inundation data for deep learning applications in flood detection.

Extracting and quantifying graphical representations of river and delta channel networks from binary masks.

A curated list of resources for mineral exploration leveraging machine learning techniques.

A large-scale trash dataset for computer vision, enabling AI to detect and combat litter.

A comprehensive open-source library for remote sensing image processing and analysis.

An open-source project for tree segmentation from geospatial data.