robro/cifar10-c-parquet
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资源简介：
CIFAR-10-C数据集是对原始CIFAR-10数据集的扩展，旨在评估模型对常见腐蚀的鲁棒性。该数据集由95万张图像组成，这些图像通过对原始CIFAR-10测试集（1万张图像）应用19种不同的腐蚀类型和5个严重级别衍生而来。腐蚀类型包括噪声、模糊、天气效果和数字扭曲等。这个数据集被广泛用于图像分类任务中的鲁棒性基准测试。
The CIFAR-10-C dataset is an extension of the original CIFAR-10 designed to evaluate model robustness to common corruptions. It consists of 950,000 images derived from the original CIFAR-10 test set (10,000 images) by applying 19 different corruption types at 5 severity levels. The corruptions include noise, blur, weather effects, and digital distortions. This dataset is widely used for benchmarking robustness in image classification tasks.
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robro
