Main content
CWRU SDLE Research Center /
Materials Data Segmentation: Benchmark & Model Garden (MDS: B&MG)
- Maliesha Sumudumalie Kalutotage
- Pawan Tripathi
- Thomas Ciardi
- Mingjian Lu
- Kristen Hernandez
- Max A Liggett
- Andrew Ballen
- Mengjie Li
- Kristopher O. Davis
- John Lewandowski
- Laura Bruckman
- Yinghui Wu
- Roger H. French
- Vipin Chaudhary
Date created: | Last Updated:
: DOI | ARK
Creating DOI. Please wait...
Category: Project
Description: This project focuses on Materials Data Segmentation Benchmark and the Materials Data Segmentation Model Garden, two pioneering initiatives designed to revolutionize the evaluation and development of materials segmentation models.
Add important information, links, or images here to describe your project.
Files
Files can now be accessed and managed under the Files tab.
Citation
Components
Al Pitting Corrosion (XCT) - MDS: B&MG
This benchmark dataset and model garden focus on segmenting instances of pitting corrosion within an aluminum (Al) wire using in-situ X-ray Computed T...
LPBF (HSC) - MDS: B&MG
This benchmark dataset and model garden focus on segmenting High Speed Camera (HSC) images of 316ss track prints that were printed using Laser Powder...
Fractography (SEM) - MDS: B&MG
This benchmark dataset and model garden focus on segmenting Scanning Electron Microscope (SEM) images of Ti64 test bars which were subjected to four p...
Crystallites (AFM) - MDS: B&MG
This benchmark dataset and model garden focus on segmenting crystallites within two types of crystals, Spherulite and Lamellar, using Atomic Force Mic...
Al-Mg-Si Stress corrosion (XCT) - MDS: B&MG
This benchmark dataset and model garden focus on segmenting features (fractures and inclusions) from in-situ X-Ray Computed Tomography (XCT) imaging c...
Contact Corrosion (SEM) - MDS: B&MG
This benchmark dataset and model garden focus on segmenting images of front contact metallization of silicon solar cells into 5 different classes (Sil...
Recent Activity
Start managing your projects on the OSF today.
Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.