datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.HyperNut
HyperNut: Hyper Spectral Dataset of Nuts for Unsupervised Defect Detection and Segmentation
This is the hyperspectral dataset for anomaly detection and segmentation purposes in nuts, specfically almonds and pistachios.
Dataset Summary
HyperNut is a hyperspectral dataset for unsupervised defect detection and segmentation in nuts. It contains visible and near-infrared (VIS-NIR) hyperspectral images of almonds and pistachios, captured in the 400–1000 nm wavelength range.
The… See the full description on the dataset page: https://huggingface.co/datasets/industoai/HyperNut.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.hyper_drive
Towards automated analysis of large environments, hyperspectral sensors must be adapted into a format where they can be operated from mobile robots. In this dataset, we highlight hyperspectral datacubes collected from the Hyper-Drive imaging system. Our system collects and registers datacubes spanning the visible to shortwave infrared (660-1700 nm) in 33 wavelength channels. The system also simultaneously captures the ambient solar spectrum reflected off a white reference tile. The dataset… See the full description on the dataset page: https://huggingface.co/datasets/nhanson2/hyper_drive.salmonella-serovar-hyperspectral
Salmonella Serovar Hyperspectral Microscopy (Foods 2025)
Salmonella Serovar Hyperspectral Microscopy is an image dataset for foodborne bacterial classification using hyperspectral imaging. It was created to support research in rapid pathogen identification, enabling models to classify Salmonella serovars directly from microscopy images without the need for selective enrichment.
Companion spectral dataset: The single-cell spectral features (tabular, 25,972 rows) extracted from these… See the full description on the dataset page: https://huggingface.co/datasets/food-ai-nexus/salmonella-serovar-hyperspectral.hyper-kvasir-labeled-imagesHyperKvasir
Labeled images In total, the dataset contains 10,662 labeled images stored using the JPEG format. The images can be found in the images folder. The classes, which each of the images belongto, correspond to the folder they are stored in (e.g., the ’polyp’ folder contains all polyp images, the ’barretts’ folder contains all images of Barrett’s esophagus, etc.). The number of images per class are not balanced, which is a general challenge in the medical field due to the fact that some… See the full description on the dataset page: https://huggingface.co/datasets/sahilur/hyper-kvasir-labeled-images.tea-hypervectors
Cha Yi Tea Profiles in Lance Format
Dataset of loose-leaf teas for research and experiments in Hyperdimensional Computing (HDC).
The data is stored in Lance format, including normalized JPEG bytes and vetted
tea metadata.
Dataset description
This dataset contains 166 English-language loose-leaf tea profiles collected
from the public storefront of Maison de thé Cha Yi, a tea
vendor based in Gatineau, Quebec, Canada. It covers the store's Oolong, green,
white, black… See the full description on the dataset page: https://huggingface.co/datasets/prrao87/tea-hypervectors.resage-par-peta-hyper-flux-pose
ReSAGE-PAR PETA hyper / FLUX / pose files
Private bundle of the files that were previously missing (False) from the local checklist, plus PETA dataset_all.pkl (105-d labels).
Excluded attributes (105 → 93 prompt vocab)
These 12 names are in dataset_all.pkl but not in the ReSAGE paper 93-attr prompt vocab:
personalLess30, personalLess45, personalLess60, personalLarger60,
personalLess15, upperBodyShortSleeve, upperBodyLongSleeve, upperBodyNoSleeve,
upperBodySuit… See the full description on the dataset page: https://huggingface.co/datasets/ZACK777/resage-par-peta-hyper-flux-pose.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… See the full description on the dataset page: https://huggingface.co/datasets/fix666/hyperspectral-fruit.hyperpspectral-forensics
Living Optics Forensics Dataset
Overview
This dataset contains 224 images captured during a forensics application investigation using the Living Optics Camera.
The data includes:
RGB images
Sparse spectral samples
Instance segmentation masks
White reference spectra
Libary spectra
It is derived from over 200 unique raw files, corresponding to 224 frames. The dataset has not been split into training/validation sets — the choice of split is left to the developer.… See the full description on the dataset page: https://huggingface.co/datasets/LivingOptics/hyperpspectral-forensics.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/hkursat/hyperspectral-orchard.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/inihsor/hyperspectral-fruit.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… See the full description on the dataset page: https://huggingface.co/datasets/duc08042006/hyperspectral-fruit.