Dhruv Sheth / terrain-classification-spresense Public

terrain-classification-spresense

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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

agricultural65.jpg.2gshcrq7
forest84.jpg.2gsiakvi
agricultural16.jpg.2gshcsof
runway27.jpg.2gsideqi
beach81.jpg.2gsi8j6o
agricultural72.jpg.2gshcrts
river07.jpg.2gsicqek
runway64.jpg.2gsidgb1

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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 94,183
No. of clones 5