Plus other photos not classified as a person above, rather classified just as other class.
In the example, there are 4 classes, 3 for each person, 1 for others.
Train with these photos would recognize only classified persons.
That is one of the reasons why model is not provided, because this model recognizes
only the three people.
The training data is classified for each person.
In the example, there are 4 classes, 3 for each person, 1 for others.
Train with these photos would recognize only classified persons. That is one of the reasons why model is not provided, because this model recognizes only the three people.