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Image Classification QUIZ (MCQ QUESTIONS AND ANSWERS)

Total Correct: 0

Time:20:00

Question: 1

Which image classification method is based on the idea of extracting features from regions of an image and using them for classification?

Question: 2

In image classification, what does "top-1 accuracy" refer to?

Question: 3

What is the primary purpose of "multi-label classification" in image classification?

Question: 4

Which evaluation metric is used to assess the performance of image classification models by measuring the ability to correctly classify all positive samples?

Question: 5

What is the primary challenge in image classification when dealing with image occlusions and partial visibility?

Question: 6

Which image classification approach is focused on classifying images based on textual descriptions?

Question: 7

In image classification, what is the primary advantage of using "batch normalization" in deep neural networks?

Question: 8

What is the primary purpose of "cross-validation" in assessing the performance of image classification models?

Question: 9

Which image classification method is based on the idea of using a "support vector machine" (SVM) as the classifier?

Question: 10

In image classification, what is the primary goal of "feature selection"?

Question: 11

Which evaluation metric is commonly used to assess the performance of image classification models by considering both true positives and false positives?

Question: 12

What is the primary advantage of using "ensemble methods" in image classification?

Question: 13

What is the primary role of "hyperparameter tuning" in image classification?

Question: 14

Which image classification method is known for its ability to classify images by capturing spatial relationships between pixels?

Question: 15

What is the primary purpose of "class imbalance handling" techniques in image classification?

Question: 16

What is the primary challenge in image classification when dealing with complex scenes with multiple objects?

Question: 17

Which image classification approach is based on the idea of "bagging" and constructing an ensemble of multiple classifiers?

Question: 18

In image classification, what does "fine-tuning" refer to?

Question: 19

What is the primary goal of "image normalization" in image classification?

Question: 20

Which image classification technique is based on the idea of "max-pooling" to downsample feature maps and reduce spatial dimensions?

Question: 21

What is the primary purpose of "transfer learning" in image classification?

Question: 22

In image classification, what is the primary advantage of using "convolutional neural networks" (CNNs) over traditional machine learning methods?

Question: 23

Which image classification method is known for its ability to classify images by identifying key visual words or visual features?

Question: 24

What is the primary goal of image classification in computer vision?

Question: 25

What is the primary challenge in image classification when dealing with variations in lighting conditions and viewpoints?

Question: 26

Which popular image classification dataset contains a large collection of images across 1,000 different categories?

Question: 27

What is the primary role of "feature extraction" in image classification?

Question: 28

Which type of data augmentation technique is commonly used in image classification to increase the size of the training dataset and improve model generalization?

Question: 29

In image classification, what is the primary purpose of the "softmax" activation function in the output layer of a neural network?

Question: 30

Which deep learning architecture is known for its success in image classification, particularly in the ImageNet Large Scale Visual Recognition Challenge?