Fig. 9.

Model’s top confused images. Each Image has the predicted class by the model, actual class it belonged to, the loss for wrongly classifying the image, and the model’s prediction probability of the actual class (i.e. the probability when the output is the actual class). It should be noted that the images are arranged in the order of most confused – with the top left image as the most confusing image.