Published October 16, 2024 | Version v1
Dataset Open

SPECTRE Dataset

Description

SPECTRE is a dataset for spectral reconstruction with a physics-informed data augmentation.

It is published alongside its corresponding paper at IEEE Sensors 2024: "SPECTRE: A Dataset for Spectral Reconstruction on Chip-Size Spectrometers With a Physics-Informed Augmentation Method" by Julio Wissing, Teresa Scholz, Stefan Saloman, Lidia Fargueta, Stephan Junger, Alessio Stefani, Wladimir Tschekalinskij, Stephan Scheele, and Ute Schmid. You can find all the relevant information on the dataset and augmentation there. Once the paper is published to IEEEXplore, a DOI will be provided. You can see the code to use the dataset at GitHub.

Files

spectre-public.zip

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Additional details

Software

Repository URL
https://github.com/Fraunhofer-IIS/spectre
Programming language
Python
Development Status
Active