CIFAR-10 (Canadian Institute for Advanced Research)

The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images. The dataset is divided into five training batches and one test batch, each with 10000 images. The test batch contains exactly 1000 randomly-selected images from each class. The training batches contain the remaining images in random order, but some training batches may contain more images from one class than another. Between them, the training batches contain exactly 5000 images from each class.

CIFAR-10数据集包含10个类别，每个类别有6000张32x32色彩图像。该数据集共包含50000张训练图像和10000张测试图像。数据集被划分为五个训练批次和一个测试批次，每个批次包含10000张图像。测试批次中恰好包含每个类别随机选取的1000张图像。训练批次则包含剩余的图像，并以随机顺序排列，但某些训练批次中某一类别的图像数量可能多于其他类别。总而言之，训练批次中每个类别恰好包含5000张图像。