RESISC45

Overview

Usage

from datasets import load_dataset

# Load the dataset
dataset = load_dataset('tanganke/resisc45')

Dataset Information

The dataset is divided into the following splits:

• Training set: Contains 18,900 examples, used for model training.
• Test set: Contains 6,300 examples, used for model evaluation and benchmarking.

The dataset also includes the following augmented sets, which can be used for testing the model's robustness to various types of image corruptions:

• Contrast-enhanced set: Contains 6,300 examples with enhanced contrast for improved feature visibility.
• Gaussian noise set: Contains 6,300 examples where images have been corrupted with Gaussian noise.
• Impulse noise set: Contains 6,300 examples with impulse noise.
• JPEG compression set: Contains 6,300 examples where images have been compressed using JPEG encoding.
• Motion blur set: Contains 6,300 examples with motion blur applied.
• Pixelate set: Contains 6,300 examples where images have been pixelated.
• Spatter set: Contains 6,300 examples with spatter noise.