该文件名为cifar-10-batches-py.zip。

简介：
The CIFAR-10 dataset represents a widely utilized benchmark in the field of computer vision. It comprises a collection of labeled images, categorized into ten distinct classes – namely, airplane, automobile, bird, cat, deer, dog, frog, horse, ship, and truck. This dataset is frequently employed for training and evaluating deep learning models designed for image classification tasks. Its relatively small size—containing 60,000 training images and 10,000 testing images—makes it accessible for researchers and developers with limited computational resources. Furthermore, the inherent complexity of the dataset due to the visual similarity between some of the classes provides a valuable challenge for developing robust and accurate image recognition algorithms.