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 available | 20 Jun 2025 |
|---|---|
| Publisher | Federated Research Data Repository / dépôt fédéré de données de recherche |
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