Hi samir.s.omer Hope your having a marvelous day!
Below are some links that are discussing your issue!
Let’s say I have trained an image recogniser to classify the content of an image as either a dog, a cat, a rat or an elephant. I put my model into production and it is for some reason fed with images of humans. The probabilities from the model suggests that there is 70% probability that an image of a human is an image of an elephant. I would rather like the model to say the input is not like any of the classes it was trained on.
What is the go-to-way of handling this problem? I don’t have resou…
How do I not predict confidently on an Image which is not from the Classes that I trained the model On?
In the Pets classification from Lesson 1, when I try to Predict using the trained model on a Random object like say a “Building” it still predicts confidently as One of the “Dog breeds” from the Classes of the pet dataset http://www.robots.ox.ac.uk/~vgg/data/pets/
Do I have to create a comprehensive class with images other than these Dog breeds and call it “other”, and retrain the model?
A…
I also saw this model which I haven’t played with yet but maybe combing your model with something like this may help. (I thought this model was fantastic! you have to watch the video muellerzr Zachary Mueller Regular
Dec '19
It was implemented in fastaiv1 here https://github.com/fg91/Neural-Image-Caption-Generation-Tutorial
Hope this helps.
2 Likes
)