Question
What is the limiting factor in facial recognition accuracy and integrity?(1 point)
Responses
training sets
training sets
processor speed
processor speed
bandwidth
bandwidth
computing power
Responses
training sets
training sets
processor speed
processor speed
bandwidth
bandwidth
computing power
Answers
GPT-4o mini
The limiting factor in facial recognition accuracy and integrity is primarily **training sets**.
Training sets determine the quality and diversity of the data that models learn from, directly impacting their ability to accurately recognize and differentiate faces in various conditions and contexts. If the training data is biased, incomplete, or not representative of real-world scenarios, the model's performance will be compromised.
While processor speed, bandwidth, and computing power are important for the efficiency and speed of processing, they do not directly affect the accuracy and integrity of the facial recognition models as much as the quality of the training sets does.
Training sets determine the quality and diversity of the data that models learn from, directly impacting their ability to accurately recognize and differentiate faces in various conditions and contexts. If the training data is biased, incomplete, or not representative of real-world scenarios, the model's performance will be compromised.
While processor speed, bandwidth, and computing power are important for the efficiency and speed of processing, they do not directly affect the accuracy and integrity of the facial recognition models as much as the quality of the training sets does.