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Fashion MNIST

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image ClassificationFashion MNIST (test)
Accuracy97.9
633
Image ClassificationFashion-MNIST
Accuracy100
317
Image ClassificationFashion MNIST
Accuracy98.8
240
ClusteringFashion-MNIST
NMI80
107
Image ClassificationFashion-MNIST Non-IID (test)
Accuracy77
96
Federated LearningFashion-MNIST (val)
Error Rate9
80
Image ClassificationFashion-MNIST
TER12
77
Image ClassificationFashion-MNIST (test)
Accuracy (%)96.93
60
Image ClassificationFashion-MNIST 50-client (Non-IID)
Error Rate11.2
49
Image ClassificationFashion-MNIST IID 50-client
Error Rate10.3
49
Image ClassificationFashion-MNIST (F-MNIST)
Training Time per Epoch (s)8.02
48
ClassificationFashion MNIST
Accuracy88.52
47
Image ClassificationFashion-MNIST uniform noise η=0.5 (7-fold CV)
Accuracy84.36
43
Image ClassificationFashion-MNIST uniform noise η=0.4 (7-fold CV)
Accuracy86.29
43
Image ClassificationFashion-MNIST uniform noise η=0.3 (7-fold CV)
Accuracy87.45
43
Image ClassificationFashion-MNIST uniform noise η=0.2 (7-fold CV)
Accuracy88.32
43
Image ClassificationFashion-MNIST uniform noise η=0.1 (7-fold CV)
Accuracy88.92
43
Image ClassificationFashion-MNIST
Gini Coefficient0.4954
42
Model FingerprintingFashion-MNIST
AUC99.2
40
Anomaly DetectionFashion-MNIST
Avg AUC95.6
40
Image ClassificationFashion-MNIST (val)
Accuracy95.56
39
Image GenerationFashion-MNIST
FID1.49
38
kNN ClassificationFashion-MNIST
Accuracy84.1
35
Image ClassificationFashion-MNIST
Top-1 Accuracy94.53
30
VAE Log-Likelihood EstimationFashion MNIST (test)
Log-Likelihood-233.39
30
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