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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 103 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

4.25Power Consumption (mJ)

16

Mar 4, 2026

96.1Accuracy

16

Mar 4, 2026

18.93Error Rate

16

Feb 26, 2026

22.86Error Rate

16

Feb 26, 2026

84.28Test Accuracy

16

Feb 26, 2026

Corrupted CIFAR10 (unbiased)

45.49Accuracy

16

Feb 26, 2026

Corrupted CIFAR10 (bias-guiding)

99.29Accuracy

16

Feb 26, 2026

Colored MNIST (unbiased)

0.963Accuracy

16

Feb 26, 2026

Colored MNIST (bias-guiding)

100Accuracy

16

Feb 26, 2026

95.01Accuracy (Natural)

16

Feb 26, 2026

MNIST-ST (test)

DP Recursive SPIDER

99.66Accuracy

16

Feb 26, 2026

ImageNet 1k Depth

64.07Top-1 Accuracy (KNN)

16

Feb 26, 2026

Tiny ImageNet Dirichlet α=0.6 (test)

36.73Accuracy

16

Jul 7, 2026

93.3Accuracy

16

Feb 26, 2026

ImageNet100 Task 4(40-20) 1.0 (test)

94.8Accuracy

16

Feb 26, 2026

ImageNet100 Task 3(60-20) 1.0 (test)

91.3Accuracy

16

Feb 26, 2026

ImageNet100 Task 2(80-20) 1.0 (test)

90.63Accuracy

16

Feb 26, 2026

ImageNet100 Task 1(100-20) 1.0 (test)

89.93Accuracy

16

Feb 26, 2026

CUB-200 Task 4 40-20 classes

71.03Accr

16

Feb 26, 2026

CUB-200 Task 3 60-20 classes

70.02Accuracy (Accr)

16

Feb 26, 2026

CUB-200 Task 2 80-20 classes

69.1Accuracy (Overall)

16

Feb 26, 2026

CUB-200 Task 1 100-20 classes

68.7Accuracy

16

Feb 26, 2026

OmniBenchmark Task 4, 40-20

72.75Accuracy R

16

Feb 26, 2026

OmniBenchmark Task 3, 60-20

67.62Accuracy (r)

16

Feb 26, 2026

OmniBenchmark Task 2 80-20

66.23Accuracy (r)

16

Feb 26, 2026

Page 103 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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