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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 50 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

StanfordCars, DTD, EuroSAT, GTSRB, RESISC45, SUN397, SVHN

85.87Accuracy (StanfordCars)

32

Jul 1, 2026

ImageNet-1k (val)

85.67Top-1 Accuracy

32

Feb 26, 2026

86.9Trained Accuracy

32

Feb 26, 2026

86.44Accuracy

32

May 27, 2026

CIFAR10 instance-dependent noise (test)

0.913Test Accuracy

32

Feb 26, 2026

CIFAR-100 Class-IL (5T)

69.36Accuracy

32

Feb 26, 2026

ImageNet-LT IR=256 (test)

62Accuracy

32

Feb 26, 2026

ImageNet (50:950 split)

0.654Accuracy

32

Feb 26, 2026

CIFAR-100 (40:60 split)

66.44Accuracy

32

Feb 26, 2026

CIFAR-10 (4:6 split)

0.931Accuracy

32

Feb 26, 2026

ImageNet ID-to-OOD 50:950 (test)

65.36Accuracy

32

Feb 26, 2026

CIFAR100 40:60 ID-to-OOD (test)

66.44Accuracy

32

Feb 26, 2026

CIFAR10 4:6 ID-to-OOD (test)

93.1Accuracy

32

Feb 26, 2026

CIFAR-10 (test)

0.077L1 ECEKDE

32

Feb 26, 2026

DermaMNIST (test)

0.366L1 ECEKDE

32

Feb 26, 2026

0.114L1 ECEKDE

32

Feb 26, 2026

82.9Top-1 Acc

32

Feb 27, 2026

Divide and Co-training (WRN-40-10)

0.016Top-1 Error (%)

32

Feb 26, 2026

ImageNet and derived distribution shifts standard suite (test val)

88.3IN Accuracy (ref.)

32

May 18, 2026

CIFAR-10-LT Imbalance Ratio 100 (test)

86.8Top-1 Accuracy

32

Feb 26, 2026

CIFAR-100 (test)

77.23Accuracy

32

Feb 26, 2026

90.06Top-1 Acc

32

Feb 26, 2026

97.47Accuracy

32

Jun 12, 2026

S-CIFAR-10 Class-IL

92.2Accuracy

32

Feb 26, 2026

tieredImageNet (test)

89.56Accuracy

32

Feb 26, 2026

Page 50 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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