SKAB (Skoltech Anomaly Benchmark)
SKAB is designed for evaluating algorithms for anomaly detection. The benchmark currently includes 30+ datasets plus Python modules for algorithms’ evaluation. Each dataset represents a multivariate time series collected from the sensors installed on the testbed. All instances are labeled for evaluating the results of solving outlier detection and changepoint detection problems.
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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SKAB
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LSTMCaps
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SKAB
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LSTMCaps
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Papers
| Paper | Code | Results | Date | Stars |
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