Dhruv Sheth / terrain-classification-spresense Public

terrain-classification-spresense

Images

About this project

nasa-terrain.png

A few days ago Sony announced Spresense capabilities and test procedures on how Spresense will be useful in Space Applications and Satellite Monitoring Systems. While currently this board will be used on ongoing missions or to develop existing technology systems, it might prove of great help in expanding core research in the EdgeAI sector. With opening avenues in low power consumption monitoring systems and software under constrained computational power, further this will help in democratizing Aerospace based terrain monitoring or in that matter, even space exploration.

This project proposes, a faster, accurate, cheaper method to satellite terrain classification on Sony Spresense using EdgeImpulse

terrain2.jpg

buildings43.jpg.2gsi9tga
freeway07.jpg.2gsib68h
forest47.jpg.2gsiaj1c
beach48.jpg.2gsi8hie
agricultural31.jpg.2gshcprc
harbor79.jpg.2gsic18a
beach82.jpg.2gsi8j7q
freeway68.jpg.2gsib8mi

Run this model

Scan QR code or launch in browser

Dataset summary

Data collected
800 items
Labels
agricultural, beach, buildings, forest, freeway and 3 others

Project info

Project ID 50260
Project version 1
License No license attached
No. of views 85,772
No. of clones 5