Maria Roberta Devesa
Senior Data Scientist in Dymaxion Labs and Ph.D. in Physics (High Energy Experimental Physics) from the University of Buenos Aires.
Training deep learning models with geospatial imagery is hard. You need to transform the imagery to feed the neural network taking into account the geospatial side of the data. In this workshop, we show how to easily train and deploy deep segmentation networks like U-NET with geospatial imagery using the open-source library SatProc.
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