Answer-first summary for fast verification
Answer: The model is struggling to detect and classify objects from those classes.
A low mAP for some classes of objects indicates that the model is struggling to detect and classify objects from those classes accurately. This could be due to various reasons such as insufficient or imbalanced training data for those classes, differences in object appearance or variations, or limitations in the model's architecture. It does not necessarily indicate overfitting or underfitting, nor does it imply a high false positive rate. To address this issue, you may need to consider techniques such as data augmentation, re-sampling the data, or using a more advanced model architecture.
Author: LeetQuiz Editorial Team
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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.
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