ExploreSA02 Mar - 31 Jul
The Gawler Challenge
This competition has finished.
Balanced Applications of Machine Learning and Geological Expertise with synthetic generated borehole data enrichment and deep learning
Highlights: - Enrichment of drill hole data, to fill up the gaps in the drill holes in which no chemical analysis was performed. - The process is based on spectral SWIR and LWIR sensors data and utilize machine learning/deep learning to generate novel chemical data for existing bore holes. - Attention-based Deep Learning for mineral target recognition This step uses the enriched bore holes, the geochemical measurements and available surface sampling on calcretes and outcrops for the training of an attention supported multiscale deep neural network.