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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 283 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

78Accuracy

4

Mar 17, 2026

ImageNet-R 100 tasks

75.69Accuracy

4

Mar 17, 2026

ImageNet Subset 64x64 resolution (first 100 categories)

63.02Accuracy

4

Mar 13, 2026

Acute Lymphoblastic Leukaemia (ALL)

99.85Accuracy

4

Mar 13, 2026

CIFAR-10 Combined Heterogeneity, C=3 (test)

93.5Accuracy

4

Mar 13, 2026

MNIST + Fashion-MNIST Combined Heterogeneity, Rich (test)

95.7Accuracy

4

Mar 13, 2026

CIFAR-10 Concept Shift, Permutation, K=2 (test)

80.8Accuracy

4

Mar 13, 2026

Fashion-MNIST Concept Shift, sem. Rich (test)

95Accuracy

4

Mar 13, 2026

Fashion-MNIST Covariate Shift, Rotated, K=4 (test)

90Accuracy

4

Mar 13, 2026

CIFAR-10 Covariate Shift, K=3 (test)

98.1Accuracy

4

Mar 13, 2026

CIFAR-10 Label Shift, K=5 (test)

92.9Accuracy

4

Mar 13, 2026

STL10 In-Distribution (ID)

91.22Accuracy

4

Mar 13, 2026

5.76AUC Improvement

4

Mar 12, 2026

4.22AUC Improvement

4

Mar 12, 2026

ImageNet Out-of-Distribution Variants (ImageNet-A, ImageNet-R, ImageNet-Sketch, ImageNet-C)

35.9Accuracy (ImageNet-A)

4

Mar 11, 2026

93.3Top-1 Accuracy

4

Mar 11, 2026

76.73Top-1 Accuracy

4

Mar 11, 2026

CIFAR-10N (random)

97.39Accuracy

4

Mar 10, 2026

chili disease (test)

99.2Accuracy

4

Mar 10, 2026

71.7Average Accuracy

4

Mar 10, 2026

N-Caltech101 t = 6 (test)

77.24Accuracy

4

Mar 9, 2026

CIFAR100 t = 4 (test)

72.49Accuracy

4

Mar 9, 2026

CIFAR10 t = 4 (test)

93.41Accuracy (%)

4

Mar 9, 2026

3D Shapes HSL shifted (test)

0Error Rate

4

Mar 5, 2026

CIFAR-10 heterogeneous (test)

80.3Test Accuracy

4

Mar 4, 2026

Page 283 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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