Authors generated and released 3,000 unlabeled field and 4,000 labeled synthetic seismic datasets for global shelf-edge clinothems to enable deep learning for automated seismic stratigraphic interpretation.
IEEE Transactions on Geoscience and Remote Sensing , year=
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Massive-scale unlabeled field and labeled synthetic seismic datasets of global shelf-edge clinothems
Authors generated and released 3,000 unlabeled field and 4,000 labeled synthetic seismic datasets for global shelf-edge clinothems to enable deep learning for automated seismic stratigraphic interpretation.