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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 298 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CIFAR-10 20 labels (train)

87.67Accuracy

4

Feb 26, 2026

Transductive fine-tuning

60.53Accuracy (ILSVRC)

4

Feb 26, 2026

CIFAR-10 (test)

96.1Accuracy

4

Feb 26, 2026

Tiny ImageNet 1,000 labels (train)

17.4Error Rate

4

Feb 26, 2026

CIFAR10 2,000 labels (train)

0.147Error Rate

4

Feb 26, 2026

CIFAR10 1,000 labels (train)

0.182Error Rate

4

Feb 26, 2026

SVHN 500 labels (train)

3.84Error Rate

4

Feb 26, 2026

SVHN 250 labels (train)

4.19Error Rate

4

Feb 26, 2026

EfficientNet-B7

84.4Top-1 Accuracy

4

Feb 26, 2026

ImageNet-Sketch 30

16.12Top-1 Accuracy

4

Feb 26, 2026

78.6Top-1 Acc

4

Feb 26, 2026

74.2Top-1 Acc

4

Feb 26, 2026

65.5Top-1 Accuracy

4

Feb 26, 2026

UC Merced (val)

99.61Top-1 Acc

4

Feb 26, 2026

MobileNetV3-Large 1.0

73.8Top-1 Accuracy

4

Feb 26, 2026

58.8Model Size (Mbits)

4

Feb 26, 2026

MNIST Motion noisy (test)

99.2Accuracy

4

Feb 26, 2026

Noisy MNIST AWGN (test)

98.43Accuracy

4

Feb 26, 2026

Reduced SVHN (test)

AutoAugment (AA)

5.92Test Error Rate (%)

4

Feb 26, 2026

CIFAR-10 Reduced (test)

AutoAugment (AA)

10.04Test Error (%)

4

Feb 26, 2026

CIFAR-100 Zoom Out 140% rescale (test)

45.29Accuracy

4

Feb 26, 2026

CIFAR-100 Zoom Out 120% rescale (test)

63.59Accuracy

4

Feb 26, 2026

CIFAR-100 Zoom In 80% rescale (test)

52.7Accuracy

4

Feb 26, 2026

CIFAR-100 Zoom In 60% rescale (test)

13.75Accuracy

4

Feb 26, 2026

CIFAR-100 Shearing U(-57.3°, 57.3°) (test)

44.27Accuracy

4

Feb 26, 2026

Page 298 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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