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Image Classification research benchmarks – Page 238 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

44.1Accuracy

6

Mar 9, 2026

85.5Top-1 Accuracy

6

Mar 9, 2026

FEMNIST Dir-0.1 (test)

86.3Accuracy

6

Mar 6, 2026

small NORB (A/C - bright lighting)

24.32Classification Error

6

Mar 5, 2026

small NORB (A/B - low lighting)

11.09Error Rate

6

Mar 5, 2026

small NORB (A/A - medium lighting)

5.36Classification Error

6

Mar 5, 2026

Clothing1M non-i.i.d.

61.42Accuracy

6

Mar 5, 2026

98.86Accuracy

6

Mar 5, 2026

98.29Accuracy

6

Mar 5, 2026

97.39Accuracy

6

Mar 5, 2026

95.99Accuracy

6

Mar 5, 2026

Unseen Tasks (SUN397, Cars, RESISC45, DTD) (test)

62.46SUN397 Accuracy

6

Mar 5, 2026

Seen Tasks (EuroSAT, SVHN, GTSRB, MNIST) (test)

97.13EuroSAT Accuracy

6

Mar 5, 2026

ImageNet InceptionV3

19.6Model Size (MB)

6

Mar 4, 2026

87.4Accuracy

6

Mar 4, 2026

VLCS Caltech101 LabelMe SUN09 VOC2007 OOD Cross-domain

38.15Accuracy (Train: Caltech101, Test: LabelMe)

6

Mar 4, 2026

ImageNet Variants Average (target)

61.63Accuracy

6

Mar 4, 2026

82.55Top-1 Accuracy

6

Mar 4, 2026

93.32Clean Accuracy

6

Feb 27, 2026

90.7Accuracy

6

Feb 27, 2026

Random color MNIST (test)

64.96Accuracy

6

Feb 27, 2026

55.34FGSM Error Rate (%)

6

Feb 27, 2026

95.16Accuracy

6

Feb 27, 2026

ImageNet-OOD Avg

47.2Avg Accuracy

6

Feb 27, 2026

58.9Accuracy

6

Feb 27, 2026

Page 238 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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