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Image Classification research benchmarks – Page 291 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Flowers102 (unseen)

77.8Accuracy

4

Feb 26, 2026

Flowers102 (seen)

97.6Accuracy

4

Feb 26, 2026

StanfordCars H (harmonic mean)

72.01Accuracy

4

Feb 26, 2026

Stanford Cars (unseen)

74.89Acc

4

Feb 26, 2026

StanfordCars (seen)

78.12Accuracy

4

Feb 26, 2026

OxfordPets (unseen)

97.69Accuracy

4

Feb 26, 2026

OxfordPets (seen)

95.2Accuracy

4

Feb 26, 2026

Caltech101 (unseen)

94Accuracy

4

Feb 26, 2026

Caltech101 (seen)

98ACC

4

Feb 26, 2026

ImageNet (unseen)

70.43Accuracy

4

Feb 26, 2026

ImageNet (seen)

76.47Accuracy

4

Feb 26, 2026

Urbancars CoObj (test)

84.7WGA

4

Feb 26, 2026

Urbancars BG (test)

77.5WGA

4

Feb 26, 2026

Tiny-ImageNet LT

39Clean Accuracy

4

Feb 26, 2026

Any-shift Prompting

81.74Accuracy

4

Feb 26, 2026

ImageNet-Superclass (val)

Any-shift Prompting

71.12Accuracy

4

Feb 26, 2026

41.35ASR

4

Feb 26, 2026

MNIST Translated standard (test)

95.21Accuracy

4

Feb 26, 2026

MNIST Rotated (90) standard (test)

97.19Accuracy

4

Feb 26, 2026

MNIST Rotated 180 (test)

97.78Accuracy

4

Feb 26, 2026

F-MNIST Original (test)

91.55Accuracy

4

Feb 26, 2026

F-MNIST Scaled synthetic (test)

87.26Accuracy

4

Feb 26, 2026

F-MNIST Translated synthetic (test)

85.06Accuracy

4

Feb 26, 2026

F-MNIST Rotated 90 synthetic (test)

86.48Accuracy

4

Feb 26, 2026

F-MNIST Rotated 180 synthetic (test)

85.57Accuracy

4

Feb 26, 2026

Page 291 of 333

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