When I get low classification scores from a custom classifier I trained, I would like to know how I can improve the classifier's accuracy. Even better would be knowing which training images are potentially dragging the score down.
Why is it useful?
|Who would benefit from this IDEA?||As a user, I want to know how good of a job I'm doing at training my own classifier|
How should it work?