QuakeLabeler is a research software project for building, labeling, and inspecting seismic datasets without forcing domain experts through a heavy custom engineering workflow.

What it does

  • Retrieves waveform data from seismic data centers
  • Builds custom seismic samples and labeled training sets
  • Supports preprocessing, augmentation, and data inspection for ML workflows
  • Helps researchers validate distributions and dataset quality before modeling

Why it matters

Training data is often the bottleneck in scientific ML. QuakeLabeler reduces the friction between raw seismic data and model-ready datasets so research teams can spend more time iterating on methods instead of building ad hoc tooling.