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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 233 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

SUN397 2010 (New classes)

78.7Top-1 Accuracy

6

May 12, 2026

SUN397 Base classes 2010

82.63Top-1 Accuracy

6

May 12, 2026

ImageNet New classes 2009

70.98Top-1 Accuracy

6

May 12, 2026

ImageNet Base classes 2009

77.27Top-1 Accuracy

6

May 12, 2026

CIFAR-10 (5000x1)

61Final Accuracy

6

May 12, 2026

CIFAR-10 2500x2

63.8Final Accuracy

6

May 12, 2026

83Accuracy

6

May 12, 2026

83.9Final Accuracy

6

May 12, 2026

Flowers102 Open-World

88.01Accuracy

6

May 12, 2026

96.45Accuracy

6

May 12, 2026

MNIST binarized (test)

99.43Last-10 Accuracy

6

May 12, 2026

CIFAR-10 (test)

87.78Accuracy (Clean)

6

May 11, 2026

CIFAR-10 ρ=0.8 (test)

71.45Accuracy

6

May 11, 2026

CIFAR-10 ρ=0.6 (test)

74.23Accuracy

6

May 11, 2026

CIFAR-10 ρ=0.4 (test)

78.07Accuracy

6

May 11, 2026

CIFAR-10 ρ=0.2 (test)

83.77Accuracy

6

May 11, 2026

CIFAR-10 ρ=0 (test)

93.56Accuracy

6

May 11, 2026

CIFAR-100 rho=0.49 (test)

56.83Accuracy

6

May 11, 2026

CIFAR-100 rho=0 (test)

84.62Accuracy

6

May 11, 2026

ImageNet Threshold0.7 V2

DINORANKCLIP (full)

11.8Top-1 Accuracy

6

May 8, 2026

82Natural Accuracy

6

May 8, 2026

ImageNet-V (target)

65Accuracy

6

May 8, 2026

92.3Accuracy

6

May 8, 2026

98.5Accuracy

6

May 8, 2026

CIFAR-10 IID (test)

74.2LF Attack Accuracy (10% Ratio)

6

May 8, 2026

Page 233 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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