A Python package to create and manage your seismic training data, processes, and visualization in a single place
QuakeLabeler
Quake Labeler was born from the need for seismologists and developers who are not AI specialists to easily, quickly, and independently build and visualize their training data set.
Introduction
QuakeLabeler is a Python package to customize, build and manage your seismic training data, processes, and visualization in a single place — so you can focus on building the next big thing. Current functionalities include retrieving waveforms from data centers, customizing seismic samples, auto-building datasets, preprocessing and augmenting for labels, and visualizing data distribution. The code helps all levels of AI developers and seismology researchers for querying and building their own earthquake datasets and can be used through an interactive command-line interface with little knowledge of Python.
Installation, Usage, documentation and scripts are described at https://maihao14.github.io/QuakeLabeler/
Author: Hao Mai(Developer and