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Photogranulometry - Dataset of soil images with corresponding particle size distributions

  • Federated Research Data Repository / dépôt fédéré de données de recherche
  • Thomas Plante St-Cyr (Creator)
  • François Duhaime (Contributor)
  • Jean-Sébastien Dubé (Creator)
  • Simon Grenier (Creator)
  • Thien-Kim Leduc Tong (Contributor)
  • Lianne Fray (Contributor)
  • Thomas Plante St-Cyr (Contributor)
  • WSP Canada (Contributor)
  • François Duhaime (Contributor)
  • Jean-Sébastien Dubé (Contributor)
  • Simon Grenier (Contributor)

Dataset

Description

This file contains a high-resolution image dataset of 321 varied geotechnical soil samples, each paired with laboratory-measured particle size distribution (PSD) data from mechanical sieving and hydrometer test. The 12,714 images were taken in both moist and dry states in a standardized top-view conditions. The samples were collected in the Montreal, Canada region and they cover a wide range of granular textures. Each image has a resolution of 8192×5464 pixels (44.76 MP) with a scale of approximately 39.4 µm/pixel. This dataset was collected to support the development and validation of convolutional neural networks (CNNs) for optical grain size analysis in geotechnical engineering.
Date made available20 Jun 2025
PublisherFederated Research Data Repository / dépôt fédéré de données de recherche

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