BCV-Uniandes / SIMBA

Pytorch implementation of the MICCAI 2020 paper SIMBA: Specific Identity Markers for Bone Age Assessment
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Training time and Size of the dataset #2

Closed njan-creative closed 3 years ago

njan-creative commented 3 years ago

Can you please let me know the training time and the size of the dataset used ?

cigonzalez commented 3 years ago

The total training time is 11 hours using a an NVIDIA TITAN-X Pascal GPU for 150 epochs. The dataset is composed of 6,288 images divided into 3 sets: 5,492 for training, 716 for validation and 80 for testing. In this paper you could find more information about the dataset we used.