parser=argparse.ArgumentParser(description='PyTorch Fer2013 CNN Training') parser.add_argument('--model',type=str,default='VGG19',help='CNN architecture') parser.add_argument('--dataset',type=str,default='FER2013',help='CNN architecture') ...
gorgonifer(including the Ex-epitype ofC. gorgonifer:Trichurus spiralisCBS 635.-78) andCephalotrichum telluricum(i.e.: closest outgroup) dataset as published by Woudenberg et al. [37]. The resulting phylogenetic tree shows that our strain clearly belongs to the speciesC. gorgoniferand that...
About Dataset No description available Usability info License MIT Expected update frequency Not specified Tags data(2 directories, 1 files) fullscreen chevron_right folder test 3 directories folder train 3 directories article label.txt 342.06 kB ...
About Dataset No description available Usability info 0 License Unknown Expected update frequency Not specified Tags Balanced FER2013 - Occ3_Undersampled(2 directories) fullscreen chevron_right Loading... lightbulb See what others are saying about this dataset ...
Thus, where oedematous children were included in the dataset, so that marasmus could not be differentiated from marasmic-kwashiorkor the reports were analysed in a sub-category. The data from two studies were each reported using dif- ferent standards (study from Senegal in datasets 18 & 19 [...
A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset - Facial-Expression-Recognition.Pytorch/plot_fer2013_confusion_matrix.py at master · newmonk