image_output_2.png image_output_1.png
from keras.preprocessing.image import ImageDataGenerator, load_img, img_to_array

import matplotlib.pyplot as plt

train_path = '../input/100-bird-species/285 birds/train'
test_path = '../input/100-bird-species/285 birds/test'
validation_path = '../input/100-bird-species/285 birds/valid'

img = load_img(train_path + '/ANHINGA/001.jpg')
plt.imshow(img)
plt.axis('off')
plt.title('Sample Anhinga Image')
plt.show()
plt.figure()
img = load_img(train_path + '/BALD EAGLE/018.jpg')
plt.imshow(img)
plt.axis('off')
plt.title('Sample Bald Eagle Image')
plt.show()