Open-Source Hyperspectral Oil Paint and Painting Dataset: Unlocking Painting Techniques

This open-source project provides a large dataset containing hyperspectral scan data, processing code, and reconstructed paint samples. The dataset is intended for use in art historical research and computer graphics, such as pigment mapping and spectral upsampling. It includes hyperspectral scans of nine paintings and reflectance measurements of numerous paint samples. A Python package, `painting_tools`, is also provided for processing spectral data and mixing and layering pigments using the Kubelka-Munk model. Researchers can use this dataset to study the materials and techniques of paintings and develop new image processing and analysis methods.