RoboSat is an end-to-end pipeline written in Python 3 for feature extraction from aerial and satellite imagery. Features can be anything visually distinguishable in the imagery for example: buildings, parking lots, roads, or cars.

Features

  • Data preparation: creating a dataset for training feature extraction models
  • Training and modeling: segmentation models for feature extraction in images
  • Post-processing: turning segmentation results into cleaned and simple geometries
  • The data preparation tools help you with getting started creating a dataset for training feature extraction models
  • The modelling tools help you with training fully convolutional neural nets for segmentation
  • Documentation available

Project Samples

Project Activity

See All Activity >

Categories

Machine Learning

License

MIT License

Follow RoboSat

RoboSat Web Site

Other Useful Business Software
Forever Free Full-Stack Observability | Grafana Cloud Icon
Forever Free Full-Stack Observability | Grafana Cloud

Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.

Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
Create free account
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of RoboSat!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Machine Learning Software

Registered

2024-08-12