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Image Classification research benchmarks – Page 242 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

71.6Top-1 Accuracy

6

Feb 26, 2026

ImageNet Variants (V2, R, A, O, Sketch) (test)

37.5IN-V2 Top-1 Acc

6

Feb 26, 2026

CLIP-Benchmark (31 datasets) zero-shot

29.6Acc@1

6

Feb 26, 2026

58.6Balanced Accuracy

6

Feb 26, 2026

Attentive Probe

69.13Balanced Accuracy

6

Feb 26, 2026

Attentive Probe

80.04Balanced Acc

6

Feb 26, 2026

Diabetic Retinopathy

Attentive Probe

52.66Balanced Acc

6

Feb 26, 2026

Attentive Probe

98.26Balanced Accuracy

6

Feb 26, 2026

87.36Balanced Accuracy

6

Feb 26, 2026

64.96Balanced Accuracy

6

Feb 26, 2026

86.78Balanced Acc

6

Feb 26, 2026

Attentive Probe

26.44Balanced Accuracy

6

Feb 26, 2026

Attentive Probe

88.78Balanced Accuracy

6

Feb 26, 2026

Attentive Probe

82.64Balanced Accuracy

6

Feb 26, 2026

Attentive Probe

96.45Balanced Accuracy

6

Feb 26, 2026

Attentive Probe

97.68Balanced Accuracy

6

Feb 26, 2026

Attentive Probe

99.33Balanced Acc

6

Feb 26, 2026

CIFAR-100 (test)

0.737Baseline Accuracy

6

Feb 26, 2026

CIFAR-100 (test)

71.45Baseline Accuracy

6

Feb 26, 2026

Skin Clean (test)

64.32Accuracy

6

Feb 26, 2026

LC25K-All-C Corrupted (test)

80.38Accuracy

6

Feb 26, 2026

LC25K All Clean (test)

95.81Accuracy

6

Feb 26, 2026

NCT100K Corrupted (test)

63.53Accuracy

6

Feb 26, 2026

97.7Accuracy

6

Feb 26, 2026

0.47Inference Time (s)

6

Feb 26, 2026

Page 242 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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