I have a dataset of 1000 labels. I would like to build a custom model from this dataset with three labels, say Dog
, Cat
, and Others
. Obviously, Others
will be large in number for this approach. I understand that this could be an issue since the classifier has seen more Others
examples.
Pipeline
Large dataset --> Seperate to Dogs, Cats and others --> Classifier --> Predicts Dogs, Cats or Others.
What are the other approaches which can be taken in this situation?