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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 231 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

MNIST Dir 0.8 60k (test)

98.52Top-1 Accuracy

6

May 25, 2026

MNIST IID 60k (test)

98.5Top-1 Accuracy

6

May 25, 2026

MNIST LS K=3 1797

96.55Top-1 Accuracy

6

May 25, 2026

MNIST LS K=2 1797

96.98Top-1 Accuracy

6

May 25, 2026

MNIST 1797 LS K=1

96.95Top-1 Accuracy

6

May 25, 2026

MNIST 1797 Dir 0.1

93.98Top-1 Accuracy

6

May 25, 2026

MNIST-1797 Dir 0.8

97.08Top-1 Accuracy

6

May 25, 2026

96.94Top-1 Accuracy

6

May 25, 2026

Fashion-MNIST Label Skew K=3

91.72Top-1 Accuracy

6

May 25, 2026

Fashion-MNIST Label Skew K=2

92.64Top-1 Accuracy

6

May 25, 2026

Fashion-MNIST Label Skew K=1

94.14Top-1 Accuracy

6

May 25, 2026

Fashion-MNIST Dirichlet alpha=0.1

82.47Top-1 Acc

6

May 25, 2026

Fashion-MNIST Dirichlet alpha=0.5

88.42Top-1 Accuracy

6

May 25, 2026

Fashion-MNIST Dirichlet alpha=0.8

88.17Top-1 Accuracy

6

May 25, 2026

MNIST 60k LS K=3

0.004Gini Coefficient

6

May 25, 2026

MNIST-60k LS K=2

0.006Gini Coefficient

6

May 25, 2026

MNIST 60k LS K=1

0.004Gini Coefficient

6

May 25, 2026

MNIST 60k Dir 0.1

0.009Gini Coefficient

6

May 25, 2026

MNIST 60k Dir 0.5

0.002Gini Coefficient

6

May 25, 2026

MNIST 60k Dir 0.8

0.003Gini Coefficient

6

May 25, 2026

0.003Gini Coefficient

6

May 25, 2026

CIFAR-10 LS K=3

64.66Top-1 Accuracy

6

May 25, 2026

CIFAR-10 LS K=2

71.72Top-1 Accuracy

6

May 25, 2026

CIFAR-10 (LS K=1)

72.56Top-1 Accuracy

6

May 25, 2026

CIFAR-10 Dir 0.8

53.16Top-1 Accuracy

6

May 25, 2026

Page 231 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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