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Image Classification research benchmarks – Page 62 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

92.55Accuracy (Surrogate)

26

Mar 9, 2026

98.63Accuracy (Surrogate Model)

26

Mar 9, 2026

94.7Mean Accuracy

26

Jun 24, 2026

CIFAR-10 (test)

94.39Accuracy

26

Feb 26, 2026

ImageWoof 256x256 (test)

86.4Accuracy

26

Feb 26, 2026

CINIC-10 non-iid

37.59Accuracy

26

Feb 26, 2026

Web-Bird (test)

82.76Accuracy

26

Feb 26, 2026

Web-Aircraft (test)

87.97Test Accuracy

26

Feb 26, 2026

98.75Accuracy

26

Feb 26, 2026

ImageNet 1k (val)

Teacher Baseline

76.16Top-1 Acc

26

Feb 26, 2026

ImageNet-1k 1.0 (val)

Adventurer-Base/P8

0.848Top-1 Accuracy

26

Feb 26, 2026

81.92Clean Accuracy

26

Feb 26, 2026

58.3Accuracy

26

Feb 26, 2026

70.2Accuracy

26

Feb 26, 2026

MRConv, Dilated

94.26Accuracy

26

Mar 4, 2026

CIFAR-10 Global (test)

76.77Accuracy

26

Feb 26, 2026

CIFAR-10 512-image subset (test)

95.9Clean Accuracy

26

Feb 27, 2026

95.83Top-1 Accuracy

26

Feb 26, 2026

CIFAR-100-C Severity 5

31.9mCE

26

May 19, 2026

CIFAR-100 IDN (test)

79.61Accuracy (20% IDN)

26

Feb 26, 2026

CIFAR-10 IDN (test)

94.07Accuracy (20% IDN)

26

Feb 26, 2026

CIFAR-100 USB (test)

Fully-Supervised

8.9Error Rate

26

Feb 26, 2026

ImageNet Clean 1K (val)

89.71Top-1 Acc

26

Apr 21, 2026

CIFAR-10C level 5 (test)

7.7Mean Error

26

Feb 26, 2026

72.68Accuracy

26

Feb 26, 2026

Page 62 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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