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Image Classification research benchmarks – Page 70 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CIFAR-10 Step-Imbalance

88.01Accuracy

24

Feb 26, 2026

Circa (NegPass)

76.34Accuracy

24

Feb 26, 2026

CIFAR-100 symmetric label noise (test)

82.85Accuracy (20% Noise)

24

Feb 26, 2026

50.9Accuracy (Many-shot)

24

Feb 26, 2026

S-Tiny-ImageNet Task-IL

82.04Accuracy

24

Feb 26, 2026

MNIST Permutation-invariant (DW)

98.64Accuracy

24

Feb 26, 2026

Permutation-invariant MNIST (SW)

98.2Accuracy

24

Feb 26, 2026

iNaturalist 2017 (test)

71.7Top-1 Accuracy

24

Mar 10, 2026

Colored MNIST (test)

75Accuracy

24

Feb 26, 2026

99.69Test Accuracy

24

Mar 31, 2026

CIFAR-100 Noisy

75.98Accuracy

24

Mar 10, 2026

ImageNet and OOD variants

69.72Accuracy (ImageNet)

23

Jul 7, 2026

76.71Accuracy

23

Jun 18, 2026

95.67Accuracy

23

Jun 18, 2026

OpenSARShip (test)

63.41F1-score

23

May 28, 2026

83.35Accuracy (Base)

23

May 22, 2026

90.7Top-1 Accuracy

23

Jul 7, 2026

44.7Base Score

23

May 8, 2026

1.71Error Rate

23

Jun 5, 2026

69.32Accuracy

23

Jun 30, 2026

95.06Primary Accuracy

23

Apr 21, 2026

Waterbirds 95% correlation (test)

92.5Worst-group Accuracy

23

May 13, 2026

ImageNet I-Fruit (test)

56.6Accuracy

23

May 14, 2026

ImageNet 1k (val)

83.9Top-1 Acc (W6A6)

23

Feb 26, 2026

CIFAR-10 non-IID (α=0.1) (test)

86.43Accuracy

23

Mar 4, 2026

Page 70 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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