aysark/sky-insight

Hack the Map 2018 Winning Entry: Easily train machine learning models using tile maps & ArcGIS.

29
/ 100
Experimental

This tool helps geospatial analysts and researchers easily train machine learning models to classify objects in satellite and aerial imagery. You can input tile maps from ArcGIS or similar sources, visually annotate features like ships or irrigation farms, and then get back trained models or predictions for new areas of interest. It's designed for anyone needing to automate the identification and monitoring of features across large geographic areas.

No commits in the last 6 months.

Use this if you need to quickly build custom image classification models for satellite or aerial imagery to identify specific objects or land uses.

Not ideal if you are looking for advanced deep learning research tools or object detection capabilities beyond basic image classification.

geospatial-analysis remote-sensing environmental-monitoring urban-planning agricultural-mapping
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 16 / 25

How are scores calculated?

Stars

10

Forks

6

Language

JavaScript

License

Last pushed

Feb 02, 2018

Commits (30d)

0

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