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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 218 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CIFAR-10 S4 search space (test)

2.59Error Rate

7

Feb 26, 2026

CIFAR-10 S3 search space (test)

2.42Error Rate

7

Feb 26, 2026

CIFAR-10 S2 search space (test)

2.49Error Rate

7

Feb 26, 2026

88.76Top-1 Accuracy

7

Jun 17, 2026

mini WebVision first 50 classes (val)

77.64Top-1 Acc

7

Feb 26, 2026

ImageNet-1K 22K pre-trained (val)

87.3Top-1 Accuracy

7

Feb 26, 2026

31.75Top-1 Error (FGSM, eps=8/255)

7

Feb 26, 2026

0.46AULC (alpha=0.1)

7

Feb 26, 2026

2.919AULC (alpha=0.1)

7

Feb 26, 2026

Food-101 16K sequence length (test)

891Train runtime (s)

7

Feb 26, 2026

model-vs-human OOD Aggregate (test)

80OOD Accuracy

7

Feb 26, 2026

CIFAR-10 Class imbalance Standard

56.54Accuracy

7

Feb 26, 2026

CIFAR-10 Schematic confusion Standard

58.65Accuracy

7

Feb 26, 2026

CIFAR-10 80% flips Standard

0.566Accuracy

7

Feb 26, 2026

CIFAR-10 40% flips Standard

66.23Accuracy

7

Feb 26, 2026

CIFAR-100 Class imbalance (test)

23.31Accuracy

7

Feb 26, 2026

CIFAR-100 Schematic confusion (test)

21.76Accuracy

7

Feb 26, 2026

CIFAR-100 80% label flips (test)

17.52Accuracy

7

Feb 26, 2026

CIFAR-100 40% label flips (test)

0.193Accuracy

7

Feb 26, 2026

51.78Clean Accuracy

7

Feb 27, 2026

52.71Data Transmission Volume (GB)

7

Feb 26, 2026

26.49Data Transmission Volume (GB)

7

Feb 26, 2026

2.9Total Volume (GB)

7

Feb 26, 2026

0.7Total Data Transmission (GB)

7

Feb 26, 2026

RSWK Mini (test)

79Overall Accuracy

7

Feb 26, 2026

Page 218 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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