Quiz Answers

• 1. Which algorithm is commonly used for real-time object detection?

Answer: YOLO (You Only Look Once)

YOLO is widely used for real-time object detection due to its ability to process images quickly and accurately, making it suitable for tasks like face mask recognition.

• 2. Which model is often used for lightweight face mask recognition on mobile devices?

Answer: MobileNetV2

MobileNetV2 is popular for lightweight applications due to its efficiency and low computational requirements, making it ideal for mobile device deployment.

• 3. What is the main challenge in face mask recognition under real-world conditions?

Answer: Occlusion and lighting

Occlusion (e.g., mask covering part of the face) and variations in lighting conditions pose significant challenges for accurate mask recognition.

• 4. Which of the following is a preprocessing technique used in face mask detection?

Answer: Image flipping

Image flipping is commonly used to augment data by creating mirrored versions of images, helping models generalize better in different scenarios.

• 5. What is transfer learning used for in face mask recognition?

Answer: Reducing training time

Transfer learning allows models to use pre-trained weights from large datasets, reducing the time needed to train new models for face mask detection.