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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 79 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CIFAR10 alpha=0

76.44Accuracy

21

Feb 26, 2026

CIFAR100 alpha=1000

54.97Accuracy

21

Feb 26, 2026

CIFAR100 (alpha=0.5)

49.17Accuracy

21

Feb 26, 2026

CIFAR100 alpha=0

42.64Accuracy

21

Feb 26, 2026

mini-ImageNet-Red 80% noise

51.2Accuracy

21

Feb 26, 2026

mini-ImageNet-Red 40% noise

65.6Accuracy

21

Feb 26, 2026

mini-ImageNet-Red 20% noise

69Accuracy

21

Feb 26, 2026

CIFAR-10 IDN-50% (test)

77.39Accuracy

21

Feb 26, 2026

CIFAR-10-LT Imbalance Ratio 10 (test)

91.9Top-1 Accuracy

21

Feb 26, 2026

81.7Accuracy

21

Mar 25, 2026

77.51Accuracy

21

Apr 3, 2026

S-Tiny-ImageNet

82.04Task-IL Accuracy

21

Feb 26, 2026

iNaturalist 2017

75.4Top-1 Accuracy

21

Feb 27, 2026

80.88Top-1 Acc

21

May 28, 2026

ImageNet 1k (v2)

84Top-1 Accuracy

21

Feb 26, 2026

Rotated Fashion MNIST (target domains 0° and 90°)

PerfMatch (Oracle)

81.6Accuracy

21

Feb 26, 2026

Rotated MNIST target domains 0° and 90°

PerfMatch (Oracle)

96Accuracy

21

Feb 26, 2026

iNaturalist 2019 (val)

83.2Top-1 Accuracy

21

Feb 26, 2026

75.8Accuracy

21

Apr 7, 2026

CIFAR-10 semantic asymmetric noise (test)

89.96Accuracy

21

Feb 26, 2026

ImageNet Real re-assessed (val)

88.1Real Top-1 Acc

21

Feb 26, 2026

WebVision-1000 (val)

76.5Top-1 Acc

21

Feb 26, 2026

Stanford Dogs (test)

67.561-shot Accuracy

21

Feb 26, 2026

CIFAR100 20 (val)

80Accuracy

21

Feb 26, 2026

93.8Accuracy

21

Feb 26, 2026

Page 79 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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