Deep Learning solution for multi-layer seismic data segmentation using Meta's SAM, trained on a dataset of 9,000 volumes for improved subsurface mapping.
-
Updated
Apr 23, 2024 - Jupyter Notebook
Deep Learning solution for multi-layer seismic data segmentation using Meta's SAM, trained on a dataset of 9,000 volumes for improved subsurface mapping.
These notes and resources are compiled from the crash course Prompt Engineering for Vision Models offered by DeepLearning.AI.
Add a description, image, and links to the meta-sam topic page so that developers can more easily learn about it.
To associate your repository with the meta-sam topic, visit your repo's landing page and select "manage topics."