Tools tagged with "Deep Learning"

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

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).

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.

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.

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...

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

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.

An open source 3D probabilistic geological and geophysical modelling platform.

Truly open breakthrough AI

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.

Provides real-world computer vision benchmarks and datasets for autonomous driving research.

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

A Python package for airborne RGB machine learning in ecology.

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.

High-precision 3D map data and geospatial feature extraction using AI.

A PyTorch-based library for advanced time series forecasting.

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

An open-source Multiple View Geometry library for 3D computer vision and Structure from Motion.

A general-purpose Structure-from-Motion and Multi-View Stereo pipeline.

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