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Image Classification research benchmarks – Page 133 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

MNIST Sym-50% (test)

98.38Accuracy

13

Feb 26, 2026

MNIST Sym-20% (test)

0.989Accuracy

13

Feb 26, 2026

95.6Acc (20% noise)

13

Feb 26, 2026

57.9Unseen Top-1 Acc

13

Feb 26, 2026

CIFAR-10.1 (test)

10.4Test Error

13

Feb 26, 2026

CIFAR-10 (test)

1.54C10+ Error Rate

13

Feb 26, 2026

VOC 2012 (trainval test)

0.99PLANE

13

Feb 26, 2026

Melanoma Private Kaggle 2020 (test)

94.38AUC

13

Feb 26, 2026

Melanoma Public Kaggle 2020 (test)

0.969AUC

13

Feb 26, 2026

97.72Accuracy

13

Feb 26, 2026

Tiny-ImageNet 202 (test)

87.52Top-1 Accuracy

13

Feb 26, 2026

CIFAR-10 (test)

64Validity Count

12

Jul 8, 2026

96.6Accuracy

12

Jul 8, 2026

FGVC (Fine-Grained Visual Categorization) (test)

47.61DTD Accuracy

12

Jul 7, 2026

Combined IN&O and FGVC

0.655Accuracy

12

Jul 7, 2026

CIFAR-10 (test)

24.51Relative Top-1 Accuracy Change (pp)

12

Jul 3, 2026

13 Vision Benchmarks

95.93Average Accuracy

12

Jul 3, 2026

91.77Top-1 Accuracy

12

Jul 2, 2026

12.5Avg Set Size

12

Jul 1, 2026

5.6Averaged Set Size

12

Jul 1, 2026

0.05CovGap

12

Jul 1, 2026

0.08CovGap

12

Jul 1, 2026

0.08CovGap

12

Jul 1, 2026

0.11CovGap

12

Jul 1, 2026

8.1Averaged Set Size

12

Jul 1, 2026

Page 133 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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