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