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Image Classification research benchmarks – Page 61 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

ImageNet-100 1.0 (val)

86.26Top-1 Acc

27

Feb 26, 2026

ColoredMNIST (test)

0.94Average Accuracy

27

Jul 2, 2026

96.5Mean Per-Class Accuracy

27

Feb 26, 2026

CIFAR-10 Long-Tailed (rho=50) (test)

89.8Top-1 Accuracy

27

May 19, 2026

CIFAR-10 symmetric label noise (test)

97.33Accuracy (20% Noise)

27

Feb 26, 2026

89.3mAP

27

Apr 6, 2026

84.5Accuracy (%)

27

Feb 26, 2026

CIFAR-100 Long Tailed Imbalance Ratio 50 (test)

59.8Top-1 Acc

27

Feb 26, 2026

77.76Accuracy (Pruned)

27

Feb 26, 2026

65.1Top-1 Acc

27

May 13, 2026

99.11Accuracy

26

Jul 3, 2026

70.21Top-1 Accuracy

26

Jun 30, 2026

93.1Accuracy (4-bit)

26

Jun 4, 2026

84.2Top-1 Accuracy

26

Jun 4, 2026

80.58Top-1 Accuracy

26

Jun 4, 2026

81.87WGA

26

Jun 4, 2026

75.75WGA

26

Jun 4, 2026

Classification Suite (OxfordPets, EuroSAT, Caltech101, DTD, FGVCAircraft, Flowers102, UCF101, Food101, SUN397, StanfordCars, Imagenet) Few-shot CLIP RN50 pre-trained (test)

89.97OxfordPets Accuracy

26

May 27, 2026

ImageNet-1K 16 (train)

85.9Accuracy

26

May 26, 2026

98.92Accuracy

26

Jun 25, 2026

96.5Base Accuracy

26

May 8, 2026

74.52Top-1 Accuracy

26

Apr 28, 2026

90.6Top-1 Accuracy (R1)

26

Apr 23, 2026

ImageNet 128x128 (test)

87.4Nette Accuracy

26

Mar 19, 2026

TinyImageNet 200

90.88Surrogate Model Accuracy

26

Mar 9, 2026

Page 61 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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