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Image Classification research benchmarks – Page 45 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Tiny-ImageNet (train)

0.004Loss

35

Apr 24, 2026

Vision Datasets 20 tasks 1.0 (test)

70.06Average Accuracy

35

May 29, 2026

93.4Accuracy

35

Apr 24, 2026

CIFAR-100 0.35% BER (test)

73.7Clean Accuracy

35

Feb 26, 2026

CIFAR-100 0.5% BER (test)

73.7Clean Accuracy

35

Feb 26, 2026

CIFAR-100 1% BER (test)

73.7Clean Accuracy

35

Feb 26, 2026

CIFAR-10 0.5% BER (test)

92.6Clean Accuracy

35

Feb 26, 2026

CIFAR-10 1% BER (test)

92.6Clean Accuracy

35

Feb 26, 2026

CIFAR10 standard (test)

SpikingResformer

97.4Top-1 Accuracy

35

Feb 26, 2026

ImageNet-1K (val)

81.8Accuracy

35

Feb 26, 2026

ImageNet (test)

85.46Accuracy

35

Mar 12, 2026

ImageNet-1K V2 (val)

81.5Top-1 Acc

35

Feb 26, 2026

CIFAR-100 (IF=50) long-tail (test)

64Top-1 Acc

35

Jun 2, 2026

90.88Top-1 Acc

35

Feb 26, 2026

CIFAR10 Corrupted

81.35Accuracy

35

Jun 23, 2026

CIFAR100 LT-100 1.0 (test)

51.7Top-1 Acc (All)

35

Feb 26, 2026

Office-Caltech (test)

95.8Average Accuracy

35

Feb 26, 2026

CIFAR-100 LT IF 50 (test)

60.1Top-1 Acc

35

Feb 26, 2026

iNaturalist (test)

81.2Accuracy

35

May 12, 2026

ImageNet 1k (val)

Knapsack Pruning

79.17Top-1 Prune Accuracy

35

Feb 26, 2026

iNaturalist 2017 (val)

72.2Top-1 Accuracy

35

Feb 26, 2026

CIFAR to STL standard (test)

82.6Accuracy

35

Feb 26, 2026

PathMNIST v2 (test)

89.86Accuracy

35

Feb 26, 2026

BloodMNIST (test)

Distributional Loss

96.71Accuracy

34

Jul 9, 2026

CIFAR-10-LT gamma=10 (test)

85.83Accuracy

34

Jun 4, 2026

Page 45 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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