CINIC-10 Is Not ImageNet or CIFAR-10

CINIC-10 is an augmented extension of CIFAR-10. It contains the images from CIFAR-10 (60,000 images, 32x32 RGB pixels) and a selection of ImageNet database images (210,000 images downsampled to 32x32). It was compiled as a 'bridge' between CIFAR-10 and ImageNet, for benchmarking machine learning applications. It is split into three equal subsets - train, validation, and test - each of which contain 90,000 images.

CINIC-10是CIFAR-10（CIFAR-10）的增强型扩展版本。它包含源自CIFAR-10的60000张32×32分辨率RGB像素图像，以及精选自ImageNet（ImageNet）数据库的210000张经下采样至32×32分辨率的图像。该数据集被构建为衔接CIFAR-10与ImageNet的桥梁，用于机器学习应用的基准测试。数据集被划分为训练、验证与测试三个均等子集，每个子集均包含90000张图像。