DIH4AI: Hyperspectral Datasets for Denim Fabric Composition OC2
This dataset contains hyperspectral images of denim fabric over 224 reflectance bands. It was used to test automated composition analysis in the DIH4AI Open Call 2 FABCOD project (Fabric Composition Detector).
License
Creative Commons Attribution 4.0 International License
Main Characteristic
Data was acquired using a 900-1700nm hyperspectral linear camera, 224 bands. Data resources are divided into two categories, 100% cotton and cotton + elastane.
Format: ENVI binary data (.raw) representing raw reflectance images (640px, 224 bands); .hdr file containing image metadata; or .mat file. In this latter case, images are already calibrated, whereas the former include via "dark" and "light" calibration reference files.
Research areas
Physical AI
Business Categories
Manufacturing
Last updated
16.02.2024 - 21:10
GDPR Requirements
This dataset does not contain personal data.