AI Agent Skills

Sample scripts and notebooks on processing satellite imagery Python Geospatial raster

This repository provides a comprehensive list of radar and optical satellite datasets curated for ship detection, classification, semantic segmentation, and instance seg…

Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.

Data Preparation for Satellite Machine Learning

Techniques for deep learning with satellite & aerial imagery

Interactive interface for browsing global, full-resolution satellite imagery

Provider-independent ecommerce product imagery production for marketplace listings, product pages, hero shots, lifestyle scenes, comparison charts, infographics, variant…

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery

An open source library and framework for deep learning on satellite and aerial imagery.

Satellite Image Classification using semantic segmentation methods in deep learning

CesiumJS imagery layers - ImageryProvider, ImageryLayer, ImageryLayerCollection, WMS, WMTS, Bing, OpenStreetMap, ArcGIS, Mapbox, tile discard policies. Use when adding o…

🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).

The imagery layer - how to find concrete nouns and make them a system (意象与具体名词). Object writing and the seven senses, the ten-minute timed practice, why abstract nouns a…