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Dataset · Hugging Face

MarMaster/corruption-spatter

Corruption Dataset: Spatter Dataset Description This dataset contains corrupted versions of ImageNet-1K images using spatter corruption. It is part of the ImageNet-C benchmark for evaluating model robustness to common image corruptions. Dataset Structure Train: 1,281,167 corrupted images Validation: 50,000 corrupted images Classes: 1000 ImageNet-1K classes Format: Arrow (Hugging Face Datasets) Corruption Type: Spatter Adds spatter effects… See the full description on the dataset page: https://huggingface.co/datasets/MarMaster/corruption-spatter.

Author / organizationMarMaster
License (as declared)mit
Downloads248 (as reported by Hugging Face)
Likes0
Created28 October 2025
Last updated at source28 October 2025
imagenetcorruptionrobustnesscomputer-visionimage-classification
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