RMIS is a benchmark dataset collection for evaluating representation learning on multi-modal industrial signals. It brings together the datasets used in the RMIS benchmark, covering anomaly detection and fault diagnosis across four modalities: sound, vibration, voltage, and current.
This Hugging Face repository mainly hosts the benchmark datasets themselves. If you are looking for the full benchmark codebase, evaluation pipeline… See the full description on the dataset page:
https://huggingface.co/datasets/jiangab/RMIS.
