文件名称：cifar-10-python
文件大小：162.13MB
文件格式：ZIP
更新时间：2021-03-09 17:13:54
CS231N CIFAR
官网下载速度太慢 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.
【文件预览】：
data_batch_4
data_batch_2
data_batch_1
batches.meta
data_batch_5
test_batch
readme.html
readme.txt
data_batch_3