Hyperspectral
MARS-Hyperspectral-EnMAP-PRISMA-v2025
MARS-Hyperspectral dataset (EnMAP and PRISMA) - version v2025
Updated version of the dataset. More information will be added soon.
hyperspectral-orchard
Living Optics Orchard Dataset
Overview
This dataset contains 435 images of captured in one of the UK's largest orchards, using the Living Optics Camera.
The data consists of RGB images, sparse spectral samples and instance segmentation masks.
The dataset is derived from 44 unique raw files corresponding to 435 frames.
Therefore, multiple frames could originate from the same raw file.
This structure emphasized the need for a split strategy that avoided data leakage.
To… See the full description on the dataset page: https://huggingface.co/datasets/LivingOptics/hyperspectral-orchard.MARS-Hyperspectral
MARS-Hyperspectral dataset
This repository contains the data for the work publicly presented at:
[ArXiv preprint] Růžička, Mateo-García, Irakulis-Loitxate et al., Operational machine learning for remote spectroscopic detection of CH4 point sources, arXiv preprint arXiv:2511.07719 (2025).
[Poster] Růžička, Mateo-García, Irakulis-Loitxate et al., Machine Learning Models for Multi-sensor Detection of Methane Leaks in Hyperspectral Data, June. 23-27, 2025, ESA Living Planet Symposium… See the full description on the dataset page: https://huggingface.co/datasets/UNEP-IMEO/MARS-Hyperspectral.Hyperspectral_Image_Datasetkaist-hyperspectral
Description
The exr folder contains a high-resolution dataset, consisting of 30 hyperspectral images covering a wide spectral range.The acquisitions have 31 channels in the range 420-720 nm, with a separation of 10 nm.
The spectral images are reflectance images, which are normalized by the intensity of the reference white of Spectralon (calibrated 99% reflectance).
Capture setup
Camera: Pointgrey Grasshopper 9.1MP Monochromatic (GS3-U3-91S6M-C)
Lens: Jenoptik UV-VIS-IR… See the full description on the dataset page: https://huggingface.co/datasets/danaroth/kaist-hyperspectral.hyperspectral-fruit
Living Optics Hyperspectral Fruit Dataset
Overview
This dataset contains 100 images of various fruits and vegetables captured under controlled lighting, with the Living Optics Camera.
The data consists of RGB images, sparse spectral samples and instance segmentation masks.
From the 100 images, we extract >430,000 spectral samples, of which >85,000 belong to one of the 19 classes in the dataset. The rest of the spectra can be used for negative sampling when training… See the full description on the dataset page: https://huggingface.co/datasets/LivingOptics/hyperspectral-fruit.