Unsupervised visual structuring of polished ornamental granites using self-supervised vision transformers

Description

This repository contains the image dataset used in the study on the unsupervised visual structuring of polished ornamental granites from Portugal. It includes the original specimen images acquired under controlled conditions, from which the patch-based dataset for feature extraction and visual analysis was derived.

Steps to reproduce

Ten commercial granite varieties from Portugal in the polished finish were analysed. For each variety, 10 specimens were selected and imaged under controlled acquisition conditions at 600 dpi. From each specimen image, a central crop of 3072 × 2048 px was extracted in order to minimize edge-related artefacts. Each cropped image was then partitioned into 96 non-overlapping patches of 256 × 256 px. The original specimen images provided in this repository were the basis for generating the patch-based dataset used for visual feature extraction and subsequent unsupervised analysis in the associated study.

Institutions

• Universidad de La Laguna

  Canary Islands, San Cristóbal de La Laguna
• University of Trás-os-Montes and Alto Douro

  Vila Real, Vila Real

Categories

Funders

• Government of the Canary Islands (Agencia Canaria de Investigación, Innovación y Sociedad de la Información)

  Grant ID: Catalina Ruiz
• FCT – Foundation for Science and Technology under the strategic projects

  Grant ID: UID/00073/2025, UID/PRR/00073/2025, and UID/PRR2/00073/2025

Licence