Training and Validation Dataset of MgAl2O4 SEM Fracture Images for "Toward Quantitative Fractography Using Convolutional Neural Networks"
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下载链接：
https://www.materialsdatafacility.org/detail/tsopanidis_training_validation_networks_v1.1
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资源简介：
This is a dataset of SEM fracture images for training and validation of deep learning algorithms. The fracture surfaces of the MgAl2O4 ceramic material can be used to train a convolutional neural network for identifying the intergranular and transgranular fracture modes.
European Union's Horizon2020 Programme (Excellent Science, Marie-Sklodowska-Curie Actions) under REA grant agreement 675602 (Project OUTCOME)
Contact: Stylianos Tsopanidis <tsopanidisstelios@gmail.com> or Shmuel Osovski <shmuliko@technion.ac.il>
提供机构：
Materials Data Facility
创建时间：
2019-07-30
