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Image Classification research benchmarks – Page 292 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CIFAR-100 (test)

68.49Accuracy

4

Feb 26, 2026

CIFAR-100-C 1 to 5 intensities (mean over corruptions)

Regular Ensemble

49.33Accuracy

4

Feb 26, 2026

Average (11 datasets) Base

83.19Top-1 Acc

4

Feb 26, 2026

94.1Top-1 Acc

4

Feb 26, 2026

Food101 (Novel)

92.68Top-1 Acc

4

Feb 26, 2026

Flowers102 Base

97.7Top-1 Accuracy

4

Feb 26, 2026

Human Drawings Scenes

38Accuracy

4

Feb 26, 2026

Human Drawings Objects

23.4Accuracy

4

Feb 26, 2026

FMoW OOD WILDS (test)

52.9Top-1 Acc

4

Feb 26, 2026

FMoW ID WILDS (val)

60.5Top-1 Accuracy

4

Feb 26, 2026

RxRx1 OOD WILDS (val)

19.2Top-1 Acc

4

Feb 26, 2026

Camelyon17 OOD WILDS (test)

91.6Top-1 Acc

4

Feb 26, 2026

NCH Path. standard (test)

96.1Accuracy

4

Feb 26, 2026

RICORD CT standard (test)

83.33Accuracy

4

Feb 26, 2026

ImageNet1k (val)

75.9Top-1 Acc

4

Feb 26, 2026

Noun Submanifold

87.7Top-1 Accuracy

4

Feb 26, 2026

Noun Submanifold

45.5Top-1 Acc

4

Feb 26, 2026

CIFAR-100 (test)

77.52Accuracy

4

Feb 26, 2026

ImageNet (train)

0.43FLOPs (Train)

4

Feb 26, 2026

ImageNet 500 Epochs (val)

74.46Top-1 Accuracy

4

Feb 26, 2026

4.1Total Communication (GB)

4

Feb 26, 2026

122.88Total Communication Size (GB)

4

Feb 26, 2026

CIFAR-10 32x32 native (test)

4.1Total Comm. (GB)

4

Feb 26, 2026

CIFAR-10 standard (test)

0.82Total Comm. (GB)

4

Feb 26, 2026

ConvNeXt-B + ConvStem

93.55Accuracy (Clean)

4

Feb 26, 2026

Page 292 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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