Request for enhancement

[shirishr]

Please answer the questions before you submit your issue.

• backend = TensorFlow 1.2.1

• Python version = 3.5

• Keras version = 2.0.6

Whe I request a prediction for a batch of 10 images like:

python predict.py --path "data/sorted/test/5/" --model=resnet50 --batch_size=10

I get a response like:
| should be image_07165.jpg (data/sorted/test/5) -> predicted as 47.0 (5)
| should be image_07169.jpg (data/sorted/test/5) -> predicted as 47.0 (5)
| should be image_07178.jpg (data/sorted/test/5) -> predicted as 47.0 (5)
| should be image_07191.jpg (data/sorted/test/5) -> predicted as 76.0 (76)
| should be image_07192.jpg (data/sorted/test/5) -> predicted as 47.0 (5)
| should be image_07194.jpg (data/sorted/test/5) -> predicted as 23.0 (28)
| should be image_07195.jpg (data/sorted/test/5) -> predicted as 28.0 (32)
| should be image_08105.jpg (data/sorted/test/5) -> predicted as 28.0 (32)
| should be image_08108.jpg (data/sorted/test/5) -> predicted as 47.0 (5)
| should be image_08109.jpg (data/sorted/test/5) -> predicted as 69.0 (7)

Can this response be more meaningful as:

image_07165.jpg (data/sorted/test/5) -> predicted with 47.0% confidence that it is category 5 (Tiger Lilly)
image_07191.jpg (data/sorted/test/5) -> predicted with 76.0 % confidence that it is category 76 (passion flower)
image_07194.jpg (data/sorted/test/5) -> predicted with 23.0 % confidence that it is category 28(love in the mist)
image_07195.jpg (data/sorted/test/5) -> predicted with 28.0 % confidence that it is category 32(bird of paradise)

Thank you