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Image Classification research benchmarks – Page 144 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CIFAR-10 label shift (test)

65.96Top-1 Accuracy

12

Feb 26, 2026

FMNIST label shift (test)

72.66Top-1 Accuracy

12

Feb 26, 2026

So2Sat city-split (test)

63.36Accuracy

12

Feb 26, 2026

69.19Accuracy

12

Feb 26, 2026

ImageNet C (corruptions) (val)

27.4Error (Gaussian)

12

Apr 24, 2026

CIFAR-100 Flip2 noise 1.0 (test)

65.37Top-1 Acc

12

Feb 26, 2026

CIFAR-10 Flip2 noise 1.0 (test)

90.93Top-1 Acc

12

Feb 26, 2026

ImageNet-C Set 2

77.1Acc (Sev 1)

12

Feb 26, 2026

CelebA (Private) FFHQ (Public)

93.52Accuracy

12

Feb 26, 2026

CelebA Private Public

93.52Accuracy

12

Feb 26, 2026

18.7Top-1 Acc

12

Feb 26, 2026

GeoNet target (Asia)

53.9Top-1 Balanced Accuracy

12

Feb 26, 2026

GeoNet USA (source)

58.7Top-1 Balanced Acc

12

Feb 26, 2026

DollarStreet Total (Target)

CountryInPrompt+LLM Reg

64Top-1 Balanced Accuracy

12

Feb 26, 2026

DollarStreet Americas (Target)

CountryInPrompt+LLM Reg

70.3Top-1 Bal. Acc.

12

Feb 26, 2026

DollarStreet Asia (Target)

CountryInPrompt+LLM Reg

63.8Top-1 Balanced Acc

12

Feb 26, 2026

DollarStreet Africa (Target)

CountryInPrompt+LLM Reg

57.2Top-1 Balanced Accuracy

12

Feb 26, 2026

DollarStreet Europe (Source)

CountryInPrompt+LLM Reg

73.6Top-1 Balanced Acc

12

Feb 26, 2026

72.32Accuracy

12

Feb 26, 2026

Average 14 datasets

71.7Accuracy

12

Feb 26, 2026

72.7Accuracy

12

Feb 26, 2026

ImageNet-1K 2009 (val)

87.5Top-1 Accuracy

12

Feb 26, 2026

ImageNet Source (train val)

73.27Accuracy

12

Feb 26, 2026

CIFAR-100N 1.0 (test)

62.34Accuracy (Noisy)

12

Feb 26, 2026

ImageNet-C Severity Level 3, Mixed Shifts v1 (test)

72.1Accuracy

12

Feb 26, 2026

Page 144 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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