label-maker
Image annotator
Automatically annotates satellite images with OpenStreetMap data
Data Preparation for Satellite Machine Learning
461 stars
53 watching
110 forks
Language: Python
last commit: about 1 year ago
Linked from 2 awesome lists
computer-visiondata-preparationdeep-learningkerasremote-sensingsatellite-imagery
sshuair/awesome-gis
sacridini/awesome-geospatialRelated projects:
| Repository | Description | Stars |
|---|---|---|
| developmentseed/skynet-data | Automates data preparation for machine learning with aerial imagery and OpenStreetMap data | 169 |
 microsoft/satellite-imagery-labeling-tool | A lightweight web interface for creating and sharing vector annotations on satellite/aerial imagery scenes | 260 |
 jliemansifry/semantic-segmentation | Develops deep learning models to classify and annotate pixel-level details in satellite images | 21 |
| developmentseed/landsat-util | A utility to manage and process Landsat satellite imagery | 690 |
 frontierdevelopmentlab/sat-extractor | Automates satellite image extraction and storage from public constellations at scale. | 75 |
 kscottz/pythonfromspace | An introduction to using satellite imagery with Python for data analysis and visualization. | 453 |
 davemlz/eemont | A Python package providing pre-processing and processing tools for satellite imagery in Google Earth Engine | 418 |
 radwinskis/radgeetoolbox | Provides tools for processing and analyzing satellite imagery using Google Earth Engine (GEE) data | 3 |
 neptune-ai/open-solution-mapping-challenge | This project provides a Python-based solution to the Mapping Challenge competition by applying various preprocessing techniques and augmentations to satellite imagery. | 381 |
 geometalab/osmdeepod | Automated object detection from aerial imagery using OpenStreetMap data and deep learning. | 192 |
 parulnith/satellite-imagery-analysis-with-python | Analyze satellite imagery to investigate environmental and humanitarian challenges | 49 |
 warrengreen/srcnn | Software for enhancing satellite images through deep learning techniques | 76 |
 trailbehind/deeposm | Trains deep learning models to classify roads and features in satellite imagery using OpenStreetMap data. | 1,320 |
 digitalglobe/mltools | Tools for building machine learning solutions on satellite imagery | 82 |
 mshiv/sat-seg | Develops semantic segmentation of satellite images using deep learning techniques | 10 |