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Image Classification research benchmarks – Page 95 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

ImageNet-R 1.0 (test)

0.603Accuracy

18

Feb 26, 2026

27 image classification datasets average

80.7Average Accuracy

18

Feb 26, 2026

CIFAR10 0.6-Dirichlet (test)

99.62Client Accp > Accg Ratio

18

Feb 27, 2026

CIFAR-100 (test)

1.731Log Likelihood

18

Feb 26, 2026

CIFAR-10 (test)

0.329Log Likelihood

18

Feb 26, 2026

CIFAR-100 (test)

1.58ECE

18

Feb 26, 2026

CIFAR-10 (test)

0.006ECE

18

Feb 26, 2026

71.33Accuracy (BC)

18

May 28, 2026

MNIST-scale ideal downsampling (test)

99.14Acc

18

Feb 26, 2026

ImageNet 10% label fraction 2012 (val)

76.2Top-1 Acc

18

Feb 26, 2026

92.02Clean Accuracy

18

Feb 26, 2026

74.28Accuracy (Clean)

18

Feb 26, 2026

Cars unlearnable version (test)

83.74Accuracy

18

Feb 26, 2026

Blended-Office-Home-LMT ResNet-50 (test)

99.7Accuracy (Clipart)

18

Feb 26, 2026

ImageNet and ObjectNet Robustness Suite

EVA-02-CLIP-E/14+

80.9Average Accuracy

18

May 1, 2026

CIFAR10C level 1-5

8.1Error Rate

18

Feb 26, 2026

CIFAR-10 (test)

LipConvnet (+ CRC)

79.44Accuracy

18

Feb 26, 2026

51.84Standard Accuracy

18

Feb 26, 2026

CIFAR-10 (test)

DAJAT (Base, 2*AA)

88.9Clean Accuracy

18

Feb 26, 2026

94.73BA

18

Feb 26, 2026

26.6Top-1 Error Rate

18

Feb 26, 2026

Small-ImageNet-127

FixMatch w/ SEVAL

34.8Avg Class Recall

18

Jun 16, 2026

ImageNet 2012 (val)

24.4Top-1 Error

18

Feb 26, 2026

CIFAR-10-LT Imbalance Ratio 50 (test)

88.5Top-1 Accuracy

18

Feb 26, 2026

92.1Accuracy

18

Feb 26, 2026

Page 95 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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