LIB-HSI (RGB and Hyperspectral images of Building Facades)
Introduced by Habili et al. in A Hyperspectral and RGB Dataset for Building Facade Segmentation
The LIB-HSI dataset contains hyperspectral reflectance images and their corresponding RGB images of building façades in a light industrial environment. The dataset also contains pixel-level annotated images for each hyperspectral/RGB image. The LIB-HSI dataset was created to develop deep learning methods for segmenting building facade materials.
The images were captured using a Specim IQ hyperspectral camera. The hyperspectral images are in the ENVI format. There are 393 training images, 45 validation images and 75 test images.
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