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Microscopic images of regolith simulant with ilmenite content

Version 1.0

Marciniak, Kacper; Grzesiak, Michał; Zaworski, Igor; Pawliszewski, Dominik; Zygarlicka, Dominika; Wnuk, Michał, 2025, "Microscopic images of regolith simulant with ilmenite content", https://doi.org/10.18150/9RPOUT, RepOD, V1

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Description

Overview

The dataset consists of 22,176 images of simulant regolith samples containing ilmenite in concentrations ranging from 1% to 15% (in 1% increments). It is designed to support vision-based methods for analyzing ilmenite content in regolith-like materials.

Dataset preparation

 Samples were prepared using a controlled, multi-step process:

  1. Mixing procedure – Sand and ilmenite were combined using the conical mixing method. A cone of material was formed, then quartered. Each quarter was mixed separately for ~5 minutes before being recombined into a homogeneous sample.
  2. Concentration levels – Fifteen distinct mixtures were created, each with ilmenite concentrations from 1% to 15%.
  3. Image Acquisition – Images of the prepared samples were captured using a DLT-Cam PRO 5 MP camera equipped with a 200× zoom microscope lens (model 074F-97376) and a ring illuminator with 16 RGB LEDs, all mounted on a CNC machine setup. This configuration ensured consistent imaging conditions and high-quality microscopic images across all samples.

File naming convention

Files are named as:

X_Y_Z.jpg

where:

  • X – ilmenite content (%)
  • Y – acquisition code (1, 2, or 3)
  • Z – image ID

Example: 15_2_3300.jpg → Sample with 15% ilmenite, 2nd acquisition, image ID 3300.


Subject
Computer and Information Science; Earth and Environmental Sciences; Engineering
Keyword

in situ resource utilization, machine vision, regolith, ilmenite

CC0 Creative Commons Zero 1.0 CC0 Creative Commons Zero 1.0

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ZIP Archive - 2.1 GB - Sep 23, 2025 - 1 Download
MD5: b16be8aadf30f329667d9ccd754714d7
License: CC0 Creative Commons Zero 1.0
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