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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 299 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CIFAR-100 Shearing U(-28.6°, 28.6°) (test)

62.85Accuracy

4

Feb 26, 2026

CIFAR-100 Rotation U(-40°, 40°) (test)

42.13Accuracy

4

Feb 26, 2026

CIFAR-100 Rotation U(-20°, 20°) (test)

60.08Accuracy

4

Feb 26, 2026

MSCOCO 2014 (test)

79.1mAP

4

Feb 26, 2026

CIFAR-100 40% noise fraction (val)

68Validation Accuracy

4

Feb 26, 2026

ImageNet unseen classes (test)

8.7Top-1 Accuracy (Per-Class)

4

Feb 27, 2026

JFT (FastEval14k)

6.78MAP@100

4

Feb 26, 2026

NORB 1000 labels (test)

18.79Error Rate

4

Feb 26, 2026

Caltech-256 original (test)

Our Model (ImageNet-pretrained)

65.7Acc (15/class)

4

Feb 26, 2026

Caltech-101 30 images/class

86.5Accuracy

4

Feb 26, 2026

97.48Accuracy

4

Feb 26, 2026

83.48Top-1 Acc (40% Noise)

4

Feb 26, 2026

70.8Accuracy

3

Jul 9, 2026

CIFAR-100 (val)

73.35Top-1 Accuracy (%)

3

Jul 9, 2026

CIFAR-10 (short protocol (3 epochs))

4Accuracy

3

Jul 7, 2026

ImageNet-1K (val)

84.2Top-1 Accuracy (Original)

3

Jul 7, 2026

OpenForensics (target)

70Top-1 Accuracy

3

Jul 7, 2026

OpenForensics (train)

99Training Accuracy

3

Jul 7, 2026

CIFAR-10 (target)

84Top-1 Accuracy

3

Jul 7, 2026

CINIC-10 (target)

63Top-1 Accuracy

3

Jul 7, 2026

CINIC-10 (train)

100Training Accuracy

3

Jul 7, 2026

75Top-1 Accuracy

3

Jul 7, 2026

100Training Accuracy

3

Jul 7, 2026

96.48Rank-1 Score

3

Jul 3, 2026

CIFAR-100 non-IID hybrid

33.16Tail Accuracy

3

Jul 2, 2026

Page 299 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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