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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 185 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

ObjectNet (OOD)

39.9Top-1 Acc

9

Feb 26, 2026

24.3Top-1 Error

9

Feb 26, 2026

ImageNet-C-bar level 5 1.0

47.2Accuracy

9

Feb 26, 2026

CIFAR-10-LT IR 100 (test)

3.7ECE

9

Feb 26, 2026

ImageNet-C 18 (test)

48.1Accuracy (ImageNet-C)

9

Feb 26, 2026

CIFAR-100-C 18 (test)

52.6Accuracy

9

Feb 26, 2026

CIFAR-10 40% open-set noise (test)

92.12Accuracy

9

Feb 26, 2026

30.1AlexNet Accuracy

9

Feb 26, 2026

ImageNet 1K (val)

Teacher (ResNet50)

76.16Top-1 Acc

9

Feb 26, 2026

Mini-DomainNet (Leave-one-domain-out)

69.38Accuracy (Clipart)

9

Feb 26, 2026

mini-DomainNet (test)

69.38Accuracy (Clipart)

9

Feb 26, 2026

ImageNet-C level 1-5

36.8Error Rate (L1-5)

9

Feb 26, 2026

CIFAR100C level 5

24.3Classification Error Rate

9

Feb 26, 2026

CIFAR10C level 5

0.09Error Rate

9

Feb 26, 2026

DomainNet 126 (test)

45.3Accuracy (real)

9

Feb 26, 2026

77.4Top-1 Accuracy

9

Feb 26, 2026

Kuzushiji-MNIST standard (test)

97.28Accuracy

9

Feb 26, 2026

ImageNet 100 labels per class

40.36Top-1 Error Rate

9

Feb 26, 2026

74.6Accuracy

9

Feb 26, 2026

CIFAR-10 (test)

94.29Accuracy (Sym. 0%)

9

Feb 26, 2026

80.5Accuracy

9

Feb 26, 2026

ANIMAL-10N 1.0 (test)

Dropout+Co-teaching

84.5Accuracy

9

Feb 26, 2026

76.9Accuracy

9

Apr 16, 2026

CIFAR-10 IDN-45% (test)

78.6Accuracy

9

Feb 26, 2026

FashionMNIST IDN-50%

78.19Accuracy

9

Feb 26, 2026

Page 185 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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