GitHub / RamySaleem / SeismicStructuralAnalysis-CNN-Object-Detection

Our project revolutionizes seismic image interpretation with advanced deep learning, using Convolutional Neural Networks (CNNs) to automate workflows and improve accuracy in subsurface exploration. Trained on synthetic seismic data from coal mines, our algorithm excels in identifying faults, folds, and flat layers.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RamySaleem%2FSeismicStructuralAnalysis-CNN-Object-Detection

Topics: automatic-detection, cnn, coalmines, computer-vision, convolutional-neural-networks, deep-learning, detectron2, instance-segmentation, machine-learning, object-detection, seismic-data, seismic-interpretation, seismic-synthetic, synthetic-data, yolov7, yolov8

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