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Image Classification research benchmarks – Page 99 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

ImageNet-1K 1.0 (test)

AdvXL (ViT-H/14)

83.9Accuracy (Clean)

17

Feb 26, 2026

78.33Accuracy

17

Feb 26, 2026

97.75Accuracy (Clean)

17

Feb 26, 2026

ImageNet and ImageNet-V2

AugReg-ViT + DAT + DAD

81.9ImageNet Accuracy

17

Feb 26, 2026

ImageNet Natural Distribution Shifts R, Sketch, A

87.7Rendition (Acc)

17

Feb 26, 2026

Imagenette 256 x 256 10 classes (test)

90.67Classification Accuracy

17

Feb 26, 2026

GTSRB 32 x 32 43 classes (test)

97.41Accuracy (CA)

17

Feb 26, 2026

CIFAR-10 32 x 32 (test)

85.3CA

17

Feb 26, 2026

CIFAR-100-C CS-3 1.0 (test)

47.33Mean Accuracy

17

Jul 7, 2026

CIFAR-10-LT Ratio 100 (test)

0.824Balanced Accuracy

17

Feb 26, 2026

86.3Top-1 Accuracy

17

Mar 24, 2026

ImageNet-1K (val)

83.4Top-1 Accuracy

17

Feb 26, 2026

ImageNet original (val)

82.05Inductive Top-1 Accuracy

17

Feb 26, 2026

ImageNet-S 1.0 (test)

88Top-1 Accuracy

17

Feb 26, 2026

Waterbirds 100% (test)

90.7Worst Group Accuracy

17

May 14, 2026

CIFAR-10 standard (test)

96.7Acc (sym 20%)

17

Feb 26, 2026

CIFAR-100 90% symmetric noise (test)

42.3Accuracy

17

Feb 26, 2026

CIFAR-100 50% symmetric noise (test)

78Accuracy

17

Feb 26, 2026

CIFAR-100 20% symmetric noise (test)

81.3Accuracy

17

Feb 26, 2026

ImageNet-C 1.0 (val)

49.17Top-1 Acc

17

Feb 26, 2026

71.4Accuracy (Clipart)

17

Feb 26, 2026

0.07Inference GFLOPS

17

Feb 26, 2026

BFFHQ bias-conflicting (test)

76.8Accuracy

17

Mar 23, 2026

CIFAR-10S (test)

91.8Accuracy

17

Feb 26, 2026

Caltech Camera Traps-20 (CCT) Trans (test)

74AUC

17

Feb 26, 2026

Page 99 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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