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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 142 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

11.97Error Rate (%)

12

Feb 26, 2026

7.746Error Rate

12

Feb 26, 2026

78.28Pretrain Accuracy

12

Feb 26, 2026

98.93Pretrain Accuracy

12

Feb 26, 2026

63.64Pretrain Accuracy

12

Feb 26, 2026

MNIST Aff(2, R) 2D Affine (test)

ResNet18 + TIED

96.95Accuracy

12

Feb 26, 2026

MNIST Aff(2, R) (test)

ResNet18 + TIED

96.95Accuracy

12

Feb 26, 2026

94.72Accuracy

12

Feb 26, 2026

Office31 Webcam

98.27Accuracy

12

Feb 26, 2026

Non-IID MNIST alpha=0.5 (test)

96.71Accuracy

12

Feb 26, 2026

Food101 New classes

92.05Accuracy

12

Feb 26, 2026

Caltech101 New classes

94.93Accuracy

12

Feb 26, 2026

Caltech101 Base classes

99.23Accuracy

12

Feb 26, 2026

Average (11 datasets) Base classes

86.11Accuracy

12

Feb 26, 2026

15-Dataset Suite Summary

64.89Average Accuracy

12

Feb 27, 2026

60.2Accuracy

12

Feb 26, 2026

64.9Accuracy

12

Feb 26, 2026

45.1Accuracy

12

Feb 26, 2026

53.6Accuracy

12

Feb 26, 2026

61.1Accuracy

12

Feb 26, 2026

58Accuracy

12

Feb 26, 2026

81.59Accuracy

12

Feb 26, 2026

CIFAR-10 (test)

0.949Baseline Accuracy

12

Feb 26, 2026

CIFAR-10 (test)

94.59Baseline Accuracy

12

Feb 26, 2026

Describable Textures Dataset

73.3Accuracy

12

Feb 26, 2026

Page 142 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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