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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 168 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Clothing-1M r ≈ 39.5% (test)

DivideMix + SNSCL

75.31Test Accuracy

10

Feb 26, 2026

81.6Accuracy

10

Feb 26, 2026

PASCAL VOC 2012

88.7Accuracy

10

Feb 26, 2026

ELEVATER ICinW (test)

81.8Average Score

10

Feb 26, 2026

93.8Accuracy

10

Mar 9, 2026

CIFAR-10 (test)

0.686Accuracy@1

10

Feb 26, 2026

ImageNet (test)

79.5Clean Accuracy (L_inf, delta=4/255)

10

Jun 4, 2026

CIFAR-100 (test)

65Clean Accuracy

10

Feb 26, 2026

DTD (first split)

77.4Accuracy

10

Feb 26, 2026

SUN397 (first split)

66.2Accuracy

10

Feb 26, 2026

78.1Natural Accuracy

10

Feb 26, 2026

Kuzushiji (test)

95.94Accuracy (Natural)

10

Feb 26, 2026

QuickDraw (test)

87.5Accuracy

10

Apr 21, 2026

94.3Clean Accuracy

10

Feb 26, 2026

Clothing1M clean 1.0 (test)

75.4Accuracy

10

Feb 26, 2026

Landmarks-User-160k (test)

74.03Accuracy

10

Feb 26, 2026

91.9Top-1 Accuracy

10

Feb 26, 2026

mini-ImageNet-Blue (80% noise)

51.8Accuracy

10

Feb 26, 2026

mini-ImageNet-Blue 40% noise

67.3Accuracy

10

Feb 26, 2026

mini-ImageNet Blue (20% noise)

70.4Accuracy

10

Feb 26, 2026

mini-ImageNet-Blue (0% noise)

73.4Accuracy

10

Feb 26, 2026

ImageNet 1k (val)

75.5Accuracy (Linear Eval)

10

Feb 26, 2026

92.6% Parameters Removed

10

Feb 26, 2026

CIFAR-10 Symmetric Noise 0.2 (test)

88.94Accuracy

10

Feb 26, 2026

CIFAR-10 Asymmetric Noise, ε=0.3 (test)

Negative Label Smoothing

88.33Accuracy

10

Feb 26, 2026

Page 168 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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