GitHub topics: u-net-image-segmentation
BBahtiri/Computer-Vision-Crack-Detection
A deep learning pipeline for semantic segmentation of cracks or defects in materials using U-Net architecture with various backbones. This project includes hyperparameter tuning, custom model architectures, and comprehensive data processing utilities.
Language: Python - Size: 152 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0
VictoorV/mri_segmentation
U-Net for MRI segmentation.
Language: Jupyter Notebook - Size: 30.7 MB - Last synced at: 1 day ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
AmirrHussain/segmentation-of-brain-diseases
A comprehensive deep learning project for detecting and segmenting brain diseases, particularly tumors, in MRI scans using multiple state-of-the-art architectures including U-Net and Meta's Segment Anything Model (SAM).
Language: Jupyter Notebook - Size: 5.38 MB - Last synced at: 10 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 1
finallyupper/pytorch-U-Net
Implementation of U-Net in Pytorch on Cityscapes Dataset
Language: Python - Size: 5.14 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
