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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 23 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CIFAR-100 Imbalance Ratio LT-50 (test)

90.2Accuracy

62

Feb 26, 2026

Non-private (SGD)

99.52Accuracy

61

Feb 26, 2026

CIFAR-100 (test)

120Communication Rounds

61

Feb 26, 2026

CIFAR-100 VGG-11 (test)

11Communication Rounds

61

Feb 26, 2026

CIFAR-10-C (test)

91.57Accuracy (Clean)

61

Jun 23, 2026

CIFAR-100 synthetic noise (test)

74.9Accuracy

61

Feb 26, 2026

CIFAR-100-LT (Imbalance Ratio 50)

91.2Top-1 Accuracy

61

Feb 26, 2026

miniImageNet standard (test)

89.8Accuracy

61

Feb 26, 2026

CIFAR-100 (test)

AS (adaptive smoothing)

85.21Clean Accuracy

61

Feb 26, 2026

CIFAR-100 Split

95.02Accuracy

61

Feb 26, 2026

Fine-Grained iNat-21, SUN, Aircraft, CUB, CIFAR-10

ImageNet Oracle

68.6Accuracy

60

Jun 4, 2026

89.45Clean Accuracy

60

Jun 2, 2026

87.31Top-1 Accuracy

60

Jul 7, 2026

84Top-1 Accuracy

60

May 25, 2026

MetaShift (test)

92.1Average Accuracy

60

Jul 8, 2026

CIFAR-10 standard (test)

91.19Accuracy

60

Feb 26, 2026

79.7Accuracy

60

Jun 23, 2026

98.66Accuracy

60

Jun 23, 2026

81.1Accuracy

60

Jun 23, 2026

61.8Accuracy

60

Jun 23, 2026

49.4Accuracy

60

Jun 23, 2026

ciFAIR-100 (test)

63.26Accuracy

60

Feb 26, 2026

77.1Top-1 Accuracy

60

Feb 26, 2026

98.96Top-1 Accuracy

60

May 12, 2026

CIFAR-100-C v1 (test)

28.8Error Rate (Average)

60

Jun 16, 2026

Page 23 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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