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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 284 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Fashion-MNIST homogeneous (test)

84.1Test Accuracy

4

Mar 4, 2026

CIFAR-100 (test)

Suzuki et al. (2023)

73.05Clean Accuracy

4

Mar 4, 2026

CIFAR-10 (test)

Waseda et al. (2025)

90.89Clean Accuracy

4

Mar 4, 2026

CIFAR10 10% label noise (test)

4.75Test Error Rate

4

Mar 4, 2026

69.72Benign Accuracy

4

Mar 4, 2026

ImageNet-C highest severity (val)

45.2Acc (Gaussian Noise)

4

Mar 4, 2026

ImageNet Rendition (novel classes)

85.28Accuracy

4

Feb 27, 2026

ImageNet-S novel classes Sketch

53.36Accuracy

4

Feb 27, 2026

TU-Berlin Sketch zero-shot

43.85Accuracy

4

Feb 27, 2026

85.01Clean Accuracy

4

Feb 27, 2026

ImageNet-1K (test val)

79.55Clean Accuracy (C-ACC)

4

Feb 27, 2026

CIFAR-100 linear evaluation

46.54Clean Accuracy

4

Feb 27, 2026

Wang et al. (Trained with ℓ2)

96.09Standard Accuracy

4

Feb 27, 2026

95.4Clean Accuracy

4

Feb 27, 2026

ImageNet (test)

76.1Clean Accuracy

4

Feb 27, 2026

0Accuracy (Clean)

4

Feb 27, 2026

57.6Acc (IPC=100)

4

Feb 26, 2026

Flowers102 (long-tail)

93.9Accuracy (Long-tail)

4

Feb 26, 2026

EuroSAT (long-tail)

99.2Accuracy (Long Tail)

4

Feb 26, 2026

DTD (long-tail)

86.5Accuracy (Long Tail)

4

Feb 26, 2026

ImageNet100 (long-tail)

88.9Accuracy (Long)

4

Feb 26, 2026

CIFAR10 (long-tail)

98.8Accuracy (Long Classes)

4

Feb 26, 2026

ImageNet-A (novel classes)

68.6Accuracy

4

Feb 27, 2026

ImageNet V2 (novel classes)

67.36Accuracy

4

Feb 27, 2026

ImageNet-R base classes

85.28Accuracy

4

Feb 27, 2026

Page 284 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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