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Dataset Card for Tiny-ImageNet-C

Dataset Details

Dataset Description

In Tiny ImageNet-C, there are 75,109 corrupted images derived from the original Tiny ImageNet dataset. The images are affected by two different corruption types at five severity levels.

License: CC BY 4.0

Dataset Sources

Homepage: https://github.com/hendrycks/robustness
Paper: Hendrycks, D., & Dietterich, T. (2019). Benchmarking neural network robustness to common corruptions and perturbations. arXiv preprint arXiv:1903.12261.

Dataset Structure

Total images: 75,109

Classes: 200 categories

Splits:

Test: 75,109 images

Image specs: JPEG format, 64×64 pixels, RGB

Example Usage

Below is a quick example of how to load this dataset via the Hugging Face Datasets library.

from datasets import load_dataset  

# Load the dataset  
dataset = load_dataset("randall-lab/tiny-imagenet-c", split="test", trust_remote_code=True)

# Access a sample from the dataset  
example = dataset[0]  
image = example["image"]  
label = example["label"]  

image.show()  # Display the image  
print(f"Label: {label}")

Citation

BibTeX:

@article{hendrycks2019benchmarking, title={Benchmarking neural network robustness to common corruptions and perturbations}, author={Hendrycks, Dan and Dietterich, Thomas}, journal={arXiv preprint arXiv:1903.12261}, year={2019} }