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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 294 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

ImageNet Full set v2

61.11Top-1 Acc

4

Feb 26, 2026

ImageNet Low conf. set

38.71Top-1 Acc

4

Feb 26, 2026

ImageNet Full set

69.41Top-1 Accuracy

4

Feb 26, 2026

Alphabet-62 OCR simulation (test)

73Error Rate

4

Feb 26, 2026

38.6Accuracy

4

Feb 26, 2026

38.9Accuracy

4

Feb 26, 2026

0.497Accuracy

4

Feb 26, 2026

51.3Accuracy

4

Feb 26, 2026

53.1Accuracy

4

Feb 26, 2026

ImageNet-E 128x128 (val)

38.6Accuracy

4

Feb 26, 2026

ImageNet-D 128x128 (val)

38.9Accuracy

4

Feb 26, 2026

ImageNet-C 128x128 (val)

49.7Accuracy

4

Feb 26, 2026

ImageNet-B 128x128 (val)

51.3Accuracy

4

Feb 26, 2026

ImageNet-A 128x128 (val)

53.1Accuracy

4

Feb 26, 2026

Cambridge hand gesture recognition

0.681Accuracy

4

Feb 26, 2026

iNat2018, iNat2019, Places205, Places365

73.5Top-1 Accuracy

4

Feb 26, 2026

CIFAR-10 (test)

77.12Vanilla Accuracy

4

Feb 26, 2026

Oxford Flowers-102 fine-tuning

98.9Accuracy

4

Feb 26, 2026

CIFAR-100 fine-tuning

92.2Accuracy

4

Feb 26, 2026

CIFAR-10 (fine-tuning)

99.3Accuracy

4

Feb 26, 2026

ImageNet-1K 1.0 (val)

74.5Accuracy (10%)

4

Feb 26, 2026

35.37Accuracy

4

Feb 26, 2026

BreastMNIST (test)

94.56AUC

4

Feb 26, 2026

2.46ECE (%)

4

Feb 26, 2026

CIFAR-100 4000 labels

Self Meta Pseudo Labels

78.32Accuracy

4

Feb 26, 2026

Page 294 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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