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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 115 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

50.91Clean Error Rate

15

Feb 26, 2026

CIFAR-10 50 images per class

74.5Test Accuracy

15

Feb 26, 2026

98.5CIFAR10 Accuracy

15

Feb 26, 2026

DomainNet Source: Real 100% data (test)

84.22Accuracy (Real)

15

Feb 26, 2026

MNIST Domain Generalization

62.86Acc (SVHN)

15

Feb 26, 2026

SVHN original (test)

97.73Accuracy

15

Feb 26, 2026

68.6Accuracy

15

Apr 10, 2026

52.5Accuracy

15

Feb 26, 2026

CIFAR-10 resized to 224 × 224 (test)

97.4Accuracy

15

Feb 26, 2026

99.46Accuracy (Natural)

15

Feb 26, 2026

ImageNet 1k (val)

154FLOPs (M)

15

Feb 26, 2026

CIFAR-10 transferred from STL-10 (test)

49.2Accuracy

15

Feb 26, 2026

70.42Top-1 Accuracy

15

Feb 27, 2026

CIFAR-10 (test)

96.3Accuracy (Symmetric 20% noise)

15

Feb 26, 2026

10 Downstream Classification Datasets (PETS, CIFAR-10, CIFAR-100, DTD, CARS, Food101, Flowers, Aircraft, SUN, Caltech)

86.2Average Accuracy

15

Feb 26, 2026

ImageNet (train val)

76.4Accuracy

15

Feb 26, 2026

CIFAR-10 (test)

93.2Accuracy (Sym. Noise Rate 0.2)

15

Feb 26, 2026

ImageNet 1K 100K labels

38.46Top-1 Error

15

Feb 26, 2026

TinyImageNet 44 (test)

42.41Accuracy

15

Feb 26, 2026

STL10 43 (test)

77.45Accuracy

15

Feb 26, 2026

M(CIFAR100-20, F-CelebA)

74.68Accuracy

15

Feb 26, 2026

M(CIFAR100-10, F-CelebA)

68.31Accuracy

15

Feb 26, 2026

Shift-MNIST (test)

93.43Accuracy

15

Feb 26, 2026

Mini-Imagenet (20-split)

93.55Accuracy

15

Feb 26, 2026

MNIST vectorized (test)

0.042NLL

15

Feb 26, 2026

Page 115 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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