Rock Classification Dataset

Rock Classification Dataset

Datasets

Rock Classification Dataset

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Rock Classification

Use Case

Rock Classification

Description

Explore our Rock Classification Dataset with 4,212 high-quality images of various rock types, including Basalt, Chert, Clay, and more.

Rock Classification Dataset

Description:

The Rock Classification includes 4,212 high-quality images designed for the classification of different types of rocks. Each image has been pre-processed and augmented to enhance the diversity and robustness of the dataset.

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Pre-processing

  • Auto-orientation: Pixel data oriented correctly, with EXIF-orientation stripped.
  • Resize: Images resized to 640×640 pixels, stretched to fit.

Augmentation

Each image is augmented to create three versions, including:

  • Horizontal Flip: 50% probability.
  • Random Crop: 0-20% of the image.
  • Random Shear: -10° to +10° horizontally and vertically.
  • Brightness Adjustment: -15% to +15%.
  • Exposure Adjustment: -10% to +10%.
  • Salt and Pepper Noise: Applied to 0.1% of pixels.

Rock Types

  • Basalt
  • Chert
  • Clay
  • Conglomerate
  • Diatomite
  • Gypsum
  • Olivine-basalt
  • Shale (Mudstone)
  • Siliceous Sinter
Usage

This dataset is ideal for training machine learning models in geosciences, education, and industrial applications, providing a comprehensive tool for accurate rock type classification.

Applications
  • Geological Surveys: Assist in geological mapping and analysis.
  • Educational Tools: Used in teaching materials for geology courses.
  • Industrial Applications: Helps in the identification and processing of mineral resources.

This dataset is sourced from Kaggle.

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