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.
Variants: SKAB
This dataset is used in 2 benchmarks:
| Task | Model | Paper | Date |
|---|---|---|---|
| Outlier Detection | LSTMCaps | Hybridization of Capsule and LSTM … | 2022-02-11 |
| Change Point Detection | LSTMCaps | Hybridization of Capsule and LSTM … | 2022-02-11 |
Recent papers with results on this dataset: