niuniandaji/mini-imagenet-c
MiniImageNet-C Dataset Dataset Description MiniImageNet-C is a compact version of the ImageNet-C robustness benchmark dataset. It contains corrupted images from ImageNet designed to test the robustness of computer vision models to various types of image corruptions. Dataset Summary This dataset is a subset of the original ImageNet-C dataset, containing: 15 corruption types: gaussian_noise, shot_noise, impulse_noise, defocus_blur, glass_blur… See the full description on the dataset page: https://huggingface.co/datasets/niuniandaji/mini-imagenet-c.
| Author / organization | niuniandaji |
|---|---|
| License (as declared) | mit |
| Downloads | 678 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 27 September 2025 |
| Last updated at source | 27 September 2025 |
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- 17 Oct 2026 Description: MiniImageNet-C Dataset Dataset Description MiniImageNet-C is a compact version of the ImageNet-C robustness benchmark dataset. It contains corrupted images from ImageNet designed to test the robustness of computer vision models to various t → MiniImageNet-C Dataset Dataset Description MiniImageNet-C is a compact version of the ImageNet-C robustness benchmark dataset. It contains corrupted images from ImageNet designed to test the robustness of computer vision models to various t
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