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Image Classification research benchmarks – Page 98 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Caltech-USCD Birds-200 (CUB) Proposed Split 2011

69.3H

17

Mar 9, 2026

FashionMNIST (IID)

90.6Accuracy

17

May 25, 2026

92.8Top-1 Accuracy

17

Mar 4, 2026

0.24Accuracy Change

17

Feb 27, 2026

CIFAR-10 (test)

95.8Normalized Accuracy (Acc_n)

17

Feb 26, 2026

ImageNet-1K Regular (val)

0.845Top-1 Accuracy

17

Feb 26, 2026

CIFAR10-ST (test)

67.58Accuracy

17

Feb 26, 2026

ImageNet OOD (Avg of V2, R, Sketch, A, and ObjectNet) 1.0 (test)

51.6Top-1 Acc

17

Feb 26, 2026

26.1Robust Accuracy

17

Apr 23, 2026

76.6Clean Accuracy

17

Feb 27, 2026

Tea leaf disease dataset (test)

99Accuracy

17

Apr 10, 2026

ImageNet & Variants

73.23Accuracy

17

Mar 5, 2026

CIFAR80N-O Asym-40% (test)

62.57Accuracy

17

Feb 26, 2026

CIFAR80N-O Sym-80% (test)

41.1Test Acc

17

Feb 26, 2026

CIFAR80N-O Sym-50% (test)

61.78Accuracy

17

Feb 26, 2026

CIFAR80N-O Sym-20% (test)

67.81Accuracy

17

Feb 26, 2026

Classical SSL Benchmarks Overall (aggregated)

3.58Friedman Rank

17

Feb 26, 2026

STL-10 250 labels

1.4Error Rate

17

Feb 26, 2026

FEMNIST C=10 original (test)

82.4Accuracy

17

Jun 4, 2026

11 Classification Datasets Average 8-shot

85.3Accuracy

17

Mar 18, 2026

13-Dataset Image Classification Suite (IN-1K, Caltech, Cars, CUB, DTD, ESAT, FGVC, FLO, Food, Pets, Places, SUN, UCF) (test)

64.7Accuracy (IN-1K)

17

Feb 26, 2026

ImageNet 1K (val)

82.2Top-1 Accuracy

17

Feb 26, 2026

88.22Accuracy

17

Apr 20, 2026

CMNIST 0.5% bias ratio unbiased (test)

97.52Accuracy

17

Feb 26, 2026

Intrinsic Feature Guidance

75.14Accuracy (1.0% Bias)

17

Feb 26, 2026

Page 98 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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