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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 321 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CIFAR100 (test)

92.12Top-1 Accuracy

2

Feb 26, 2026

Split-ImageNet 10-tasks (test)

74.77Average Accuracy

2

Feb 26, 2026

Cifar-100 (low-confidence set)

17.5Top-1 Accuracy

2

Feb 26, 2026

Food-101 (low-confidence set)

49Top-1 Acc

2

Feb 26, 2026

Flower-102 (low-confidence set)

29.4Top-1 Accuracy

2

Feb 26, 2026

Caltech-101 (low-confidence set)

27.2Top-1 Accuracy

2

Feb 26, 2026

ObjectNet standard (test)

72Top-1 Acc

2

Feb 26, 2026

59.01Accuracy

2

Feb 26, 2026

71.95Accuracy

2

Feb 26, 2026

67.46Accuracy

2

Feb 26, 2026

Meet-in-the-middle attack

99Accuracy

2

Feb 26, 2026

ELEVATER Academic Track (test)

0.93CIFAR10 Accuracy

2

Feb 26, 2026

53.82Accuracy

2

Feb 26, 2026

ImageNet1K error-free labels (test)

22.5Top-1 Accuracy

2

Feb 26, 2026

CIFAR-100 error-free labels (test)

22Top-1 Accuracy

2

Feb 26, 2026

CIFAR-10 error-free labels (test)

50.8Top-1 Acc

2

Feb 26, 2026

CIFAR-100 (test)

23.15Top-1 Acc

2

Feb 26, 2026

CIFAR-10 (test)

51.45Top-1 Accuracy

2

Feb 26, 2026

CIFAR-100 5% labeled data (test)

60.1Seen Accuracy

2

Feb 26, 2026

SVHN 1.0 (50% known / 50% novel)

OpenLDN-MixMatch

95.7Accuracy (Known)

2

Feb 26, 2026

86.7Top-1 Acc (eps=8)

2

Feb 26, 2026

CIFAR-10 (test)

94.7Top-1 Accuracy (eps=1)

2

Feb 26, 2026

ImageNet 1% labels (test)

57.77Top-1 Accuracy

2

Feb 26, 2026

STL-10 1,000 labels (test)

93.04Accuracy

2

Feb 26, 2026

ImageNet partial

Distill on real images

79.1Accuracy

2

Feb 26, 2026

Page 321 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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