Datasets › LIB-HSI

LIB-HSI (RGB and Hyperspectral images of Building Facades)

Introduced by Nariman Habili et al. in A Hyperspectral and RGB Dataset for Building Facade Segmentation6 Dec 2022 archive 2025-07-28

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.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

License archive 2025-07-28

Creative Commons Attribution-Noncommercial 4.0 Licence

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • LIB-HSI

1 variant name, as the archive lists them.

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