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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 220 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

97.2Avg Accuracy

7

Feb 26, 2026

81.6Precision

7

Feb 26, 2026

89.77OA

7

Feb 26, 2026

66.68Top-1 Accuracy

7

Feb 26, 2026

Custom Dataset 3

Proposed (Hybrid)

0.95Accuracy

7

Feb 26, 2026

Primary Dataset-2

Proposed (Hybrid)

0.928Accuracy

7

Feb 26, 2026

Custom Dataset 2

Proposed (Hybrid)

98.66Accuracy

7

Feb 26, 2026

Primary Dataset-1

Proposed (Hybrid)

97.95Accuracy

7

Feb 26, 2026

Custom Dataset-1

Proposed (Hybrid)

99.75Accuracy

7

Feb 26, 2026

10.76Accuracy

7

Feb 26, 2026

51.63Accuracy

7

Feb 26, 2026

9Accuracy

7

Feb 26, 2026

23.24Accuracy

7

Feb 26, 2026

49.03Accuracy

7

Feb 26, 2026

58.33Accuracy

7

Feb 26, 2026

56.76Accuracy

7

Feb 26, 2026

Image Classification Datasets

0Difference

7

Feb 26, 2026

CIFAR-10 (test)

86.98Accuracy

7

Feb 26, 2026

CIFAR10C, CIFAR100C, Caltech 101, Dtd, Oxford pets, ucf101, ImageNet A (test)

66.95CIFAR10C Acc

7

Feb 26, 2026

ImageNet 50% labels

82.9Top-1 Acc

7

Feb 26, 2026

76.3Top-1 Acc

7

Feb 26, 2026

VisDA 2017 (Real)

67.12Standard Accuracy

7

Feb 26, 2026

Tiny-ImageNet (beta=0.1)

69.5Accuracy

7

Feb 26, 2026

Tiny-ImageNet (beta=0.3)

72.19Accuracy

7

Feb 26, 2026

CIFAR-100 (beta=0.1)

77.7Accuracy

7

Feb 26, 2026

Page 220 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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