Software Introduction
RamanNet Labeler is a Raman spectral physical modeling and unmixing tool developed based on PyQt5, specifically designed for generating high-quality training labels for deep learning. Utilizing Voigt profile modeling technology, the software can extract physically realistic ideal spectral components from complex raw spectra, providing high-fidelity training data for deep learning models.