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Anomaly Detection research benchmarks – Page 28 · SOTA2 Research

Anomaly Detection

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

MVTec AD modified (test)

0.986Structural AUROC

11

Feb 26, 2026

MVTec AD textures (test)

Reduced Student

100Carpet Score

11

Feb 26, 2026

0.981EPSY

11

Feb 26, 2026

17.15Training Time (s)

11

Feb 26, 2026

43.56Training Time per Epoch (s)

11

Feb 26, 2026

0.87Training Time (s/epoch)

11

Feb 26, 2026

3.27Training Time (s)

11

Feb 26, 2026

3.55Training Time (s)

11

Feb 26, 2026

4.08Training Time (s/epoch)

11

Feb 26, 2026

0.84Training Time (s/epoch)

11

Feb 26, 2026

1.25Training Time (s/epoch)

11

Feb 26, 2026

Fatigue dataset (test)

99.62Precision

11

Feb 26, 2026

CAP dataset (test)

99.39mPre

11

Feb 26, 2026

96.08Mean Precision (mPre)

11

Feb 26, 2026

MVTec AD 4 (test)

94.1AUROC (Grid)

11

Feb 26, 2026

Robot-assisted feeding dataset

87.1AUC

11

Feb 26, 2026

Univariate Time Series (inference)

1.22Time per Point (s)

10

Jul 3, 2026

91.17I-AUROC

10

Jun 24, 2026

0Clean MSE

10

Jun 5, 2026

0Clean MSE

10

Jun 5, 2026

0Clean MSE

10

Jun 5, 2026

EHA sensor signals

99.97Accuracy

10

Jun 5, 2026

Real-world RANs

86Precision

10

Jun 2, 2026

97Image AUROC

10

May 26, 2026

95.53AUC

10

May 6, 2026

Page 28 of 62

Popular datasets

MVTec AD MNIST CIFAR Gaussian mixture synthetic dataset SMAP

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