QuestionQ4

ML – Data

Data used for an object-detection ML system was found to have been incorrectly labeled in many instances.

Which ONE of the following options is MOST likely to result from this problem?

Explanation

Incorrect labels introduce erroneous ground truth into the training data, causing an object-detection model to learn incorrect classifications or bounding-box associations and thereby reducing prediction accuracy.

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