Multi-band polarization imaging, by mean of analyzing spectral and polarimetric data simultaneously, is a good way to improve the quantity and quality of information recovered from a scene. Therefore, it can enhance computer vision algorithms as it permits to recover more statistical information about a surface than color imaging. This work presents a database of polarimetric and multispectral images that combine visible and near-infrared (NIR) information. An experimental setup is built around a dual-sensor camera. Multispectral images are reconstructed from the dual-RGB method. The polarimetric feature is achieved using rotating linear polarization filters in front of the camera at four different angles (0, 45, 90 and 135 degrees). The resulting imaging system outputs 6 spectral/polarimetric channels. We demonstrate 10 different scenes composed of several materials like color checker, high reflecting metallic object, plastic, painting, liquid, fabric and food. Our database of images is provided online as supplementary material for further simulation and data analysis. This work also discusses several issues about the multi-band imaging technique described.