Why CIFAR-10 images are not displayed properly using matplotlib?

Question

From the training set I took a image(\'img\') of size (3,32,32). I have used plt.imshow(img.T). The image is not clear. Now changes I have to make to image(\'img\') to make it m

Answer 1

code result is: Try below code.

I found a very useful link about visualization of mnist and cifar images. You can find codes for various images : https://machinelearningmastery.com/how-to-load-and-visualize-standard-computer-vision-datasets-with-keras/ cifar10 image code is below: It works well. Image is above.

# example of loading the cifar10 dataset
from matplotlib import pyplot
from keras.datasets import cifar10
# load dataset
(trainX, trainy), (testX, testy) = cifar10.load_data()
# summarize loaded dataset
print('Train: X=%s, y=%s' % (trainX.shape, trainy.shape))
print('Test: X=%s, y=%s' % (testX.shape, testy.shape))
# plot first few images
for i in range(9):
    # define subplot
    pyplot.subplot(330 + 1 + i)
    # plot raw pixel data
    pyplot.imshow(trainX[i])
# show the figure
pyplot.show()