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Anomaly Detection research benchmarks – Page 24 · SOTA2 Research

Anomaly Detection

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

98.57AUC (1% Injection)

12

Mar 4, 2026

96.913AUCP

12

Mar 4, 2026

0.755AUROC

12

May 27, 2026

Synthetic Anomaly Dataset holdout_C (test)

57.7AUPRC

12

Feb 26, 2026

Synthetic Anomaly Dataset in_dist_C (test)

54.9AUPRC

12

Feb 26, 2026

DTD-Synthetic (test)

96AUROC

12

Feb 26, 2026

MVTec-3D RGB v1 (test)

0.936Image AUROC

12

Feb 26, 2026

MVTec AD 8 (test)

100AUROC (Carpet)

12

Feb 26, 2026

CIFAR-10 9 classes

96AUROC

12

Feb 26, 2026

NVIDIA Tesla V100S

14Parameters (M)

12

Feb 26, 2026

MVTec AD Average modified (test)

85Image-level F1 Score

12

Feb 26, 2026

MVTec AD Hole modified (test)

84.9F1 Score (Image-level)

12

Feb 26, 2026

MVTec AD Color modified (test)

87.1Image-level F1 Score

12

Feb 26, 2026

MVTec AD Cut modified (test)

87.7F1 Score (Image-level)

12

Feb 26, 2026

89Image-level AUROC

12

Feb 26, 2026

85.7Image-level AUROC

12

Feb 26, 2026

92.8Image-level AUROC

12

Feb 26, 2026

67.8AUC

12

Apr 15, 2026

96.3AUC

12

Feb 26, 2026

72.2AUC

12

Feb 26, 2026

62.4AUC

12

Feb 26, 2026

Anoshift 20% anomaly contamination (AVG)

0.727AUC

12

Feb 26, 2026

Anoshift 20% anomaly contamination (FAR)

62AUC

12

Feb 26, 2026

Anoshift AVG 10% anomaly contamination

73.1AUC

12

Feb 26, 2026

Anoshift 10% anomaly contamination (FAR)

62.3AUC

12

Feb 26, 2026

Page 24 of 62

Popular datasets

MVTec AD MNIST CIFAR Gaussian mixture synthetic dataset SMAP

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