Techniques for deep learning with satellite & aerial imagery
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AI Agent のための再利用可能な Skill を見つける。
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検索結果: satellite-imagery
英語版ディレクトリAn open source library and framework for deep learning on satellite and aerial imagery.
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
Interactive interface for browsing global, full-resolution satellite imagery
Global shoreline mapping tool from satellite imagery
Gridgeist turns product intent into a rigorous visual system—without the generic AI SaaS aftertaste.
SAS.Planet is a free, open-source Geographic Information System (GIS) software designed for viewing, downloading, and managing high-resolution satellite imagery and conventional maps from various online sources.
Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery
AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.
Generate a reusable design.md or DESIGN.md from a live website by deeply inspecting the site with `agent-browser` and `agent-browser eval`, then synthesizing its visual language, layout system, interaction patterns, and content style into a structured markdown design system. Use when given one or more website URLs and asked to analyze a site, reverse-engineer its design, extract its look and feel, write DESIGN.md, create a style guide, or capture a site's UI rules for later AI-assisted design or implementation. Prefer this skill when the goal is documentation rather than rebuilding the page in code. Always use `agent-browser` as the primary browser runtime; if it is missing, help the user install or expose it instead of switching platforms or browser stacks.
A simple yet highly configurable Mastodon bot that posts geotagged aerial imagery of a random location in the world.
This repository provides a comprehensive list of radar and optical satellite datasets curated for ship detection, classification, semantic segmentation, and instance segmentation tasks. These datasets are ideal for applications in computer vision, machine learning, remote sensing, and maritime analysis.