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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 186 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

FashionMNIST IDN-45%

88.75Accuracy

9

Feb 26, 2026

FashionMNIST IDN-40%

90.01Accuracy

9

Feb 26, 2026

FashionMNIST IDN-30%

90.68Accuracy

9

Feb 26, 2026

FashionMNIST IDN-20%

91.58Accuracy

9

Feb 26, 2026

CIFAR100 (test)

41.47IDN (20%)

9

Feb 26, 2026

SVHN IDN-50% (test)

85.41Accuracy

9

Feb 26, 2026

SVHN IDN-45% (test)

93.19Accuracy

9

Feb 26, 2026

SVHN IDN-40% (test)

93.82Accuracy

9

Feb 26, 2026

SVHN IDN-30% (test)

93.86Accuracy

9

Feb 26, 2026

SVHN IDN-20% (test)

94.08Accuracy

9

Feb 26, 2026

iNaturalist 2018 (val test)

69.7Accuracy (Overall)

9

Feb 26, 2026

CIFAR-100 standard (test)

78.2Accuracy (10% Noise)

9

Feb 26, 2026

CIFAR-10 standard (test)

95.4Accuracy (10% Noise)

9

Feb 26, 2026

ImageNet-9 adversarial backgrounds

Causal Transportability

0.294Accuracy

9

Feb 26, 2026

Oxford Flowers-102 (val)

98.9Top-1 Accuracy

9

Feb 26, 2026

CIFAR-10 original (test)

56.18TPR-95 Accuracy (Multi-target)

9

Feb 26, 2026

ImageFruit 128x128 (val)

63.9Accuracy

9

Feb 26, 2026

ImageWoof 128x128 (val)

67Accuracy

9

Feb 26, 2026

ImageNette 128x128 (val)

87.4Accuracy

9

Feb 26, 2026

93.48Clean Accuracy

9

Feb 26, 2026

77.3Accuracy (Art)

9

Feb 26, 2026

NICO Animal (unseen)

91.3Eating Accuracy

9

Feb 26, 2026

CIFAR-10 (test)

94.09Accuracy (10% Noise)

9

Feb 26, 2026

SVHN 40 labels (test)

3.81Error Rate

9

Feb 26, 2026

CIFAR100 (test)

80.7SA

9

Feb 26, 2026

Page 186 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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