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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 152 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

90.4Accuracy

11

Feb 26, 2026

CIFAR10 (train test)

Least confident

355Execution Time

11

Feb 26, 2026

ImageNet and 10 Target Datasets (Caltech101, OxfordPets, StanfordCars, Flowers101, Food101, FGVCAircraft, SUN397, DTD, EuroSAT, UCF101) (test)

73.7ImageNet Accuracy

11

Mar 30, 2026

StanfordCars (novel)

75.47Accuracy

11

May 12, 2026

Kidney Disease Dataset (test)

100Accuracy

11

Feb 26, 2026

98.36Accuracy

11

Feb 26, 2026

Snapshot Serengeti (test)

98Accuracy

11

Feb 26, 2026

Tiny-ImageNet (val)

69Clean Accuracy

11

Feb 26, 2026

35.72Mean Accuracy (alpha=0.1)

11

Feb 26, 2026

48.47Mean Accuracy (alpha=0.1)

11

Feb 26, 2026

79.88Mean Accuracy (alpha=0.1)

11

Feb 26, 2026

97.3Accuracy (P Domain)

11

Feb 26, 2026

ImageNet distribution-shift variants (ImageNet-A, -K, -R, -V) (test)

69.67Top-1 Acc (ImageNet)

11

Feb 26, 2026

CIN-3DCC 1.0 (test)

45.8Mean Accuracy

11

Feb 26, 2026

CIN-C 1.0 (test)

47.5Accuracy

11

Feb 26, 2026

CIFAR-100, SVHN, Food-101, ImageNet-R Average

87.4Mean Accuracy

11

Feb 26, 2026

81.6Top-1 Accuracy

11

Feb 26, 2026

Biomedical Classification Benchmark

27.7Cell Profiling

11

Feb 26, 2026

MedMNIST (test)

86.01Clean Accuracy

11

Feb 26, 2026

77.3Top-1 Acc

11

Feb 26, 2026

87.3Top-1 Acc

11

Feb 26, 2026

Robustness (test)

64.1Accuracy

11

Feb 26, 2026

ImageMeow (test)

61.2Accuracy

11

Mar 17, 2026

BFFHQ 0.5% bias ratio unbiased (test)

65.8Accuracy (Minority)

11

Feb 26, 2026

CIFAR10C 5% bias ratio unbiased (test)

59.66Accuracy

11

Feb 26, 2026

Page 152 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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