matin-ghorbani/Salt-Segmentation-UNet
Implement a salt segmentation using PyTorch for TGS Salt Identification Challenge
This project helps geologists and petroleum engineers accurately map underground salt deposits from seismic images. It takes a seismic image of the Earth's subsurface and outputs a detailed mask highlighting the exact locations of salt. This can prevent costly errors in oil and gas exploration by identifying optimal drilling sites.
No commits in the last 6 months.
Use this if you need to precisely identify salt formations within seismic imaging data to guide drilling operations.
Not ideal if your primary goal is general geological mapping or identifying features other than salt deposits.
Stars
16
Forks
—
Language
Python
License
MIT
Category
Last pushed
Jun 10, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/matin-ghorbani/Salt-Segmentation-UNet"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
BiaPyX/BiaPy
Open source Python library for building bioimage analysis pipelines
Abe404/root_painter
RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation
junlabucsd/napari-mm3
Mother machine image analysis through napari
Dootmaan/MT-UNet
Official Code for *Mixed Transformer UNet for Medical Image Segmentation*
chanzuckerberg/napari-hub
Discover, install, and share napari plugins