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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 143 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Caltech-UCSD Birds 200

86.5Accuracy

12

Feb 26, 2026

iNaturalist 2018

70.7Top-1 Accuracy (Overall)

12

Feb 26, 2026

CCC Hard 1.0 (test)

12.7Mean Accuracy

12

Feb 26, 2026

CCC Medium 1.0 (test)

43.7Mean Accuracy

12

Feb 26, 2026

CCC Easy 1.0 (test)

51.4Accuracy

12

Feb 26, 2026

MedMNIST PathMNIST (test)

86.63Accuracy

12

Apr 3, 2026

78.62Validation Accuracy

12

Feb 26, 2026

ImageNet-1K (test)

17Test Error

12

Feb 26, 2026

CIFAR-100 SSL split 10000 labels (train test)

24.66Error Rate

12

Feb 26, 2026

CIFAR-100 SSL split 2500 labels (train test)

25.52Error Rate

12

Feb 26, 2026

CIFAR-100 SSL 400 labels (train test)

32.51Error Rate

12

Feb 26, 2026

CIFAR-100 3-shot (test)

76.24Accuracy

12

Feb 26, 2026

Places365 10-shot

41Accuracy

12

Feb 26, 2026

Places365 5-shot

37.2Accuracy

12

Feb 26, 2026

55.3Accuracy

12

Feb 26, 2026

Caltech-101 non-IID (β = 0.1) (Retain)

99.8Accuracy

12

Feb 26, 2026

CIFAR-100 (test)

123Communication Rounds

12

Feb 26, 2026

CIFAR-10 (test)

131Communication Rounds

12

Feb 26, 2026

DataComp 38 downstream tasks medium (test)

66.7Accuracy

12

Feb 26, 2026

OpenImage 1.0 (test)

34.17Accuracy

12

Feb 26, 2026

ImageNette 1.0 (test)

90Accuracy (alpha=0.1)

12

Feb 26, 2026

CIFAR-10 (test)

68.99Accuracy

12

Feb 26, 2026

ImageNet-1K (val)

84.3Clean Accuracy

12

Feb 26, 2026

DomainNet feature shift (test)

27.86Accuracy (R=1)

12

Feb 26, 2026

Digit-5 feature shift (test)

72.86Accuracy (R=1)

12

Feb 26, 2026

Page 143 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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