MarMaster/corruption-shot_noise

该数据集包含了使用散粒噪声（shot_noise）损坏的ImageNet-1K图像的版本。它是ImageNet-C基准测试的一部分，用于评估模型对常见图像损坏的鲁棒性。数据集分为训练集和验证集，共有1000个ImageNet-1K类别。图像格式为Arrow（Hugging Face Datasets）。总共有1,331,167张图像，训练集有1,281,167张图像，验证集有50,000张图像。图像格式为RGB，平均图像大小为ImageNet-1K标准。

This dataset contains corrupted versions of ImageNet-1K images using shot_noise corruption. It is part of the ImageNet-C benchmark for evaluating model robustness to common image corruptions. The dataset is split into a training set and a validation set, with a total of 1000 ImageNet-1K classes. The image format is Arrow (Hugging Face Datasets). There are a total of 1,331,167 images, with 1,281,167 images in the training set and 50,000 in the validation set. The image format is RGB, and the average image size follows the ImageNet-1K standard.