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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
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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.
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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...
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