HSIRS

We introduce HSIRS, a large scale dataset of hyper-spectral images along with corresponding manually annotated segmentation maps for material characterization and classification based on spectral signature. Such data can be used to simulate any type of spectrometer and to train DNNs end-to-end for spectral reconstruction and image segmentation tasks. HSIRS features scenes containing real and fake (made of polyester, plastic or ceramic) food items with different backgrounds and scene layouts, some scenes contain also color checkers. Spectral bands are sequentially captured using a VariSpecTM tunable color filter and the scene is illuminated with 4 Halogen light sources.