cifar10 matlab
时间: 2023-09-09 21:09:44 浏览: 58
CIFAR-10 is a dataset of 50,000 32x32 color training images and 10,000 test images, labeled over 10 categories. The categories are:
1. airplane
2. automobile
3. bird
4. cat
5. deer
6. dog
7. frog
8. horse
9. ship
10. truck
The dataset is commonly used for image classification tasks and benchmarking machine learning algorithms. In MATLAB, the CIFAR-10 dataset can be loaded using the built-in `cifar10Data` function. This function returns a struct containing the training and testing images, as well as their corresponding labels. Here's an example of how to load and visualize the CIFAR-10 dataset in MATLAB:
```matlab
% Load the CIFAR-10 dataset
cifar10 = cifar10Data;
% Visualize some of the training images
figure;
for i = 1:25
subplot(5,5,i);
imshow(cifar10.trainData(:,:,:,i));
title(cifar10Labels(cifar10.trainLabels(i)+1));
end
```
This code will display a 5x5 grid of randomly selected training images from the CIFAR-10 dataset, along with their corresponding labels.
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