Training and test the SegNet neural network on satellite imagery
This project provides tools for training and testing the SegNet neural network to perform semantic segmentation on satellite imagery, using datasets combining OpenStreetMap and satellite data. It is designed for developers and researchers working with geospatial machine learning who need a practical, GPU-accelerated pipeline. The project relies on Docker and is optimized for use with cloud instances (like
How the donated funds are distributed
Kivach works on the Obyte network, and therefore you can track all donations.