
HyperVein Dataset: This folder contains a subset of hyperspectral images from the "HyperVein" dataset, which originally consists of 400 images of human hands and arms collected from 100 subjects. Folder Contents 1. Hyperspectral Image Dataset The dataset includes 8 hyperspectral images captured from 2 volunteer participants.For each participant, images of both the left and right hand and arm are provided. Naming Convention Files are named using the following format: SXXX_L_A → Left Arm imageSXXX_L_H → Left Hand imageSXXX_R_A → Right Arm imageSXXX_R_H → Right Hand image Where: XXX represents the subject ID ranging from 001 to 100. Example: S019_L_A.bil → Subject 019, Left ArmS019_L_H.bil → Subject 019, Left HandS019_R_A.bil → Subject 019, Right ArmS019_R_H.bil → Subject 019, Right Hand For each hyperspectral image: The image data is provided in Band Interleaved by Line (.bil) format.The corresponding header file (.hdr) is also included. 2. Cropped RGB Images and Ground Truth Annotations This folder also contains: Cropped RGB images corresponding to each hyperspectral imageAnnotated ground truth vein masksImage DimensionsHand images: 512 × 512Arm images: 336 × 496 These images represent the selected Region of Interest (ROI) used for the vein detection experiments. The ground truth images are scaled between 0 and 255 for visualization purposes. 3. MATLAB Example Script An example MATLAB script named ReadHSI.m is included for reading and displaying the hyperspectral images. Before running the script, install the MATLAB Hyperspectral Image Processing Toolbox. Notes: This folder contains only a subset of the original dataset.The dataset is intended for research and educational purposes related to hyperspectral imaging and vein detection.
Image segmentation, Vision-based inspection, Image classification, Research dataset, Spectral-spatial, Vision Dataset, Hyperspectral cube, Hyperspectral Imaging, HSI dataset, Dimensionality reduction, Next-gen vein detection, VNIR data, HSI classification, Spectral imaging, Vein detection, Benchmark dataset
Image segmentation, Vision-based inspection, Image classification, Research dataset, Spectral-spatial, Vision Dataset, Hyperspectral cube, Hyperspectral Imaging, HSI dataset, Dimensionality reduction, Next-gen vein detection, VNIR data, HSI classification, Spectral imaging, Vein detection, Benchmark dataset
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