Microsoft Certified Azure AI Engineer Associate - AI-102
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After labeling the images, you are ready to train a custom object detection model using Azure AI Vision. Which of the following is a valid metric for evaluating the performance of the trained model?
After labeling the images, you are ready to train a custom object detection model using Azure AI Vision. Which of the following is a valid metric for evaluating the performance of the trained model?
Explanation:
When evaluating the performance of an object detection model, various metrics can be used to measure its accuracy and effectiveness. Precision measures the proportion of true positive predictions among all positive predictions, recall measures the proportion of true positive predictions among all actual positive instances, and Mean Average Precision (mAP) is a commonly used metric that combines precision and recall across different IoU (Intersection over Union) thresholds. Therefore, all of the above metrics are valid for evaluating the performance of an object detection model.