
Ultimate access to all questions.
You have trained a custom object detection model using Azure AI Vision and evaluated its performance using the Mean Average Precision (mAP) metric. You find that the mAP is low for some classes of objects. What could be the possible reasons for this?
A
The model is overfitting the training data.
B
The model is underfitting the training data.
C
The model is struggling to detect and classify objects from those classes.
D
The model is performing well for all classes but has a high false positive rate.