label-maker
Data Preparation for Satellite Machine Learning
AI summary
Image annotator
Automatically annotates satellite images with OpenStreetMap data
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Similar projects
Found by comparing what the projects do, not just their names.
Data preparer
Automates data preparation for machine learning with aerial imagery and OpenStreetMap data
Satellite annotator
A lightweight web interface for creating and sharing vector annotations on satellite/aerial imagery scenes
Satellite image annotator
Develops deep learning models to classify and annotate pixel-level details in satellite images
Imagery processor
A utility to manage and process Landsat satellite imagery
Image extractor
Automates satellite image extraction and storage from public constellations at scale.
Satellite Analysis
An introduction to using satellite imagery with Python for data analysis and visualization.
Satellite imaging toolset
A Python package providing pre-processing and processing tools for satellite imagery in Google Earth Engine
Satellite image processor
Provides tools for processing and analyzing satellite imagery using Google Earth Engine (GEE) data
Image processing pipeline
This project provides a Python-based solution to the Mapping Challenge competition by applying various preprocessing techniques and augmentations to satellite imagery.
Object Detector
Automated object detection from aerial imagery using OpenStreetMap data and deep learning.
Satellite analysis
Analyze satellite imagery to investigate environmental and humanitarian challenges
Image enhancer
Software for enhancing satellite images through deep learning techniques
Road classifier
Trains deep learning models to classify roads and features in satellite imagery using OpenStreetMap data.
ML toolkit
Tools for building machine learning solutions on satellite imagery
Sat image segmentation
Develops semantic segmentation of satellite images using deep learning techniques
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