Dataset Hub

The WHU‑Hi dataset (Wuhan UAV‑borne Hyperspectral Images) was collected and shared by the RSIDEA research group at Wuhan University, serving as a benchmark for precise crop classification and hyperspectral image classification research. It comprises three independent UAV‑borne hyperspectral datasets: WHU‑Hi‑LongKou, WHU‑Hi‑HanChuan, and WHU‑Hi‑HongHu, all captured over agricultural areas in Hubei Province, China. The data were acquired using a Headwall Nano‑Hyperspec sensor mounted on UAV platforms, providing high spatial resolution (H2 images). Pre‑processing includes radiometric calibration and geometric correction performed with the HyperSpec software supplied by the instrument vendor. Each dataset includes detailed acquisition metadata (time, weather, sensor, flight altitude, image size, number of bands, spatial resolution) and sample counts for various crop classes.

We provide a database of hyperspectral images (HSIs) supporting our research. The images cover a variety of real‑world materials and objects. The database is publicly released to the research community. Detailed information can be found in our manuscript.

The dataset contains 100 images of various fruits and vegetables captured under controlled lighting conditions using a Living Optics camera. Data types include RGB images, sparse spectral samples, and instance segmentation masks. The dataset includes over 430,000 spectral samples, of which more than 85,000 belong to one of 19 categories. Additionally, 13 labeled images are provided as a validation set along with some unlabeled demonstration videos. The dataset is primarily used for image segmentation and classification tasks.

ICVL is a hyperspectral image dataset collected with a Specim PS Kappa DX4 hyperspectral camera and a rotating platform for spatial scanning. Currently the dataset contains 200 images and will be expanded gradually. Images have a spatial resolution of 1392 × 1300 and cover 519 spectral bands (400‑1000 nm, ~1.25 nm intervals). The dataset provides raw data in ENVI format and downsampled data in MAT format (31 spectral channels, 400‑700 nm, 10 nm intervals). The original dataset contains only clean images; a separate dataset for hyperspectral image denoising is taken from another paper.

This dataset contains 75 hyperspectral images, 50 captured under natural daylight in indoor and outdoor scenes, and 25 captured under artificial and mixed lighting in indoor scenes. Images were acquired with a commercial hyperspectral camera (Nuance FX, CRI Inc.) equipped with an integrated liquid‑crystal tunable filter, capturing 31 narrow spectral bands from 420 nm to 720 nm in 10 nm steps. All images are of static scenes and include masks to conceal regions that moved during exposure. The dataset is divided into two parts: `CZ_hsdb` and `CZ_hsdbi`, corresponding to images taken under different illumination conditions. It is intended for non‑commercial research use only.