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Papers Benchmarks Datasets Tasks

Anomaly Detection research benchmarks – Page 18 · SOTA2 Research

Anomaly Detection

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

86.9Img-AUC

15

Mar 4, 2026

Average across datasets

91.9Precision

15

Feb 26, 2026

95.1Precision

15

Feb 26, 2026

98Precision

15

Feb 26, 2026

0.975AUROC

15

Mar 9, 2026

Industrial Control System (ICS) Testbed (Low & Slow)

75Precision

15

Feb 26, 2026

Industrial Control System (ICS) Testbed (Smash & Grab)

82.54Precision

15

Feb 26, 2026

91.67Accuracy

15

Feb 26, 2026

TinyImageNet 20 classes

0.911AUROC

15

Feb 26, 2026

CIFAR-100 20 classes

89.4AUROC

15

Feb 26, 2026

CIFAR-10 6 classes

97.3AUROC

15

Feb 26, 2026

MNIST Multi-class

78.3AUPRC

15

Feb 26, 2026

Mvtec AD (test)

99.7Average AUROC

15

Feb 26, 2026

CIFAR-10 one vs. rest 80MTI as OE

99.6Mean AUC

15

Feb 26, 2026

StreetHazards (test)

30.2AP

15

Feb 26, 2026

0.995AUROC

15

Feb 26, 2026

TIMo Infrared modality Top-Down View

60.2Frame-level AUC

15

Feb 26, 2026

TIMo Infrared (Tilted View)

65.5Frame-level AUC

15

Feb 26, 2026

TIMo Depth modality (Top-Down View)

73.2Frame-level AUC

15

Feb 26, 2026

TIMo Depth modality Tilted View

78.1Frame-level AUC

15

Feb 26, 2026

SVHN average of 10 tasks (test)

Sup. LinSep-LIS-AE

84.79AUC

15

Feb 26, 2026

MVTec anomaly detection (test)

99.3AUC (object)

15

Feb 26, 2026

96.38ROC-AUC

14

May 29, 2026

99.61ROC-AUC

14

May 29, 2026

87.06ROC-AUC

14

May 29, 2026

Page 18 of 62

Popular datasets

MVTec AD MNIST CIFAR Gaussian mixture synthetic dataset SMAP

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