  This paper introduces a newly collected and novel dataset (StereoMSI) for
example-based single and colour-guided spectral image super-resolution. The
dataset was first released and promoted during the PIRM2018 spectral image
super-resolution challenge. To the best of our knowledge, the dataset is the
first of its kind, comprising 350 registered colour-spectral image pairs. The
dataset has been used for the two tracks of the challenge and, for each of
these, we have provided a split into training, validation and testing. This
arrangement is a result of the challenge structure and phases, with the first
track focusing on example-based spectral image super-resolution and the second
one aiming at exploiting the registered stereo colour imagery to improve the
resolution of the spectral images. Each of the tracks and splits has been
selected to be consistent across a number of image quality metrics. The dataset
is quite general in nature and can be used for a wide variety of applications
in addition to the development of spectral image super-resolution methods.
