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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 58 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

99.03Brightness Acc

28

May 12, 2026

CIFAR-10 LT (IF=200)

84.1Top-1 Acc

28

May 12, 2026

ImageNet-1K (val)

88.1Top-1 Acc

28

Feb 26, 2026

90.6Base Accuracy

28

Jun 5, 2026

C-CIFAR10 official (test)

57.32Accuracy

28

Feb 26, 2026

CINIC-10 Dir(0.5) (test)

62.56Accuracy

28

Feb 26, 2026

Fashion-MNIST Dir(0.5) (test)

90.49Accuracy

28

Feb 26, 2026

Fashion-MNIST under sudden drift and Dir(0.1) 1.0 (test)

87.63Accuracy (Generalized)

28

Feb 26, 2026

CINIC-10 Dir(0.5)

62.96Accuracy

28

Feb 26, 2026

Fashion-MNIST Dir(0.5)

90.57Accuracy

28

Feb 26, 2026

OfficeHome Product

71.7Accuracy

28

Jun 23, 2026

62.45Accuracy

28

May 26, 2026

ImageNet-1K 1.0 (val)

84.5Top-1 Acc

28

Feb 26, 2026

79.1Accuracy

28

Jun 23, 2026

CIFAR10-C unbiased (test)

56.17Accuracy

28

Feb 26, 2026

ImageNet 1k (source)

73.38Top-1 Acc

28

Feb 26, 2026

PatchCamelyon (test)

90.31Accuracy

28

Feb 27, 2026

90.54Accuracy

28

Feb 26, 2026

93.92Accuracy

28

Mar 16, 2026

ImageNet-1K 1.0 (1% labels)

80.2Top-1 Acc

28

Feb 26, 2026

95.6Top-1 Accuracy

28

Jun 30, 2026

-0.96Delta-Top1

28

Feb 26, 2026

Colored MNIST unbiased (test)

98.02Accuracy

28

Feb 26, 2026

ImageNet-200 (test)

ResNeXt-101 32x8d + WSL Pretraining

4.1Top-1 Error Rate

28

Feb 26, 2026

ImageNet16-120 (test)

50.52Accuracy

28

Apr 2, 2026

Page 58 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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