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Image Classification research benchmarks – Page 71 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

58.26Clean Accuracy

23

Apr 23, 2026

96.37Base Score

23

Mar 10, 2026

20.5Clean Accuracy

23

Apr 23, 2026

Cross-domain Few-Shot Learning Suite (CUB, Cars, Places, Plantae, EuroSAT, CropDisease) (test)

91.77EuroSAT Accuracy

23

Feb 26, 2026

99.8Accuracy

23

Feb 26, 2026

FGVC Aircraft Air

66.5Accuracy

23

Feb 26, 2026

ImageNet In-Distribution (test)

86.35ID Accuracy

23

Feb 26, 2026

ImageNet OOD variants (A, V2, R, S) 1k (test val)

77.87Top-1 Acc (ImageNet)

23

Feb 26, 2026

82.63Base Accuracy

23

Mar 11, 2026

Feature Modulation

73Accuracy

23

May 29, 2026

99.88Clean Accuracy

23

Apr 27, 2026

ImageWoof full-sized (test)

86.4Top-1 Accuracy

23

Feb 26, 2026

Tiny-ImageNet corrupted (test)

30.41Accuracy

23

Jun 23, 2026

ImageNet 1K (val)

86.2FT Accuracy

23

Feb 26, 2026

TissueMNIST USB (test)

Fully-Supervised

33.91Error Rate

23

Feb 26, 2026

Tiny-ImageNet (test)

0.016ECE

23

Jun 25, 2026

iNaturalist IR=500 2018 (test)

76.9Accuracy

23

Feb 26, 2026

95.84Accuracy

23

Mar 6, 2026

-5.61IN-R Gap

23

Feb 26, 2026

Stylized ImageNet (SIN)

-49.45SIN Gap

23

Feb 26, 2026

6Carton Gap

23

Feb 26, 2026

85.68Accuracy (Clean)

23

Feb 26, 2026

70.09Top-1 Acc (Forward-LT, IR=50)

23

Feb 26, 2026

ImageNet 1k (val)

86Accuracy

23

Feb 26, 2026

ImageNet-A Target

51.8Accuracy

23

May 8, 2026

Page 71 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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