The cifar-10 dataset consists of 60000 32x32 color images of 10 classes, each of which has 6000 images. There are 50000 training images and 10000 test images. The data set is divided into five training batches and one test batch, each batch has 10000 images. The test batch contains exactly 1000 randomly selected images from each category. Training batches contain the remaining images in random order, but some training batches may contain more images from one category than another. Overall, the sum of the five training sets contains exactly 5000 images from each class. Specific: including 5 batch.mat File and a test file. It can be used for image recognition, nonnegative matrix decomposition and so on.

Filename	Size	Update
data_batch_2.mat	30576389	2010-04-23

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