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Object Detection QUIZ (MCQ QUESTIONS AND ANSWERS)

Total Correct: 0

Time:20:00

Question: 1

Which object detection method is often used for pixel-level object instance segmentation, providing a mask for each detected object?

Question: 2

Which evaluation metric is commonly used to measure the accuracy of object detection models by considering both precision and recall?

Question: 3

What is the primary advantage of using anchor boxes in object detection?

Question: 4

Which object detection technique is based on the idea of extracting features from a convolutional neural network (CNN) and using them for object classification and localization?

Question: 5

In object detection, what does the term "anchor" refer to?

Question: 6

What is the main challenge in object detection when dealing with overlapping or closely packed objects?

Question: 7

Which object detection algorithm is known for its use of a "Region of Interest" (ROI) pooling layer to improve object detection accuracy?

Question: 8

In object detection, what is a "bounding box"?

Question: 9

What is the primary goal of "object localization" in object detection?

Question: 10

Which object detection algorithm is known for its ability to perform real-time object detection in images and video streams?

Question: 11

What is the primary advantage of the "one-stage" object detection approach, as opposed to the "two-stage" approach?

Question: 12

Which object detection algorithm is known for its use of a "convolutional sliding window" to predict object bounding boxes?

Question: 13

Which of the following is a common application of object detection in computer vision?

Question: 14

Which technique is used to evaluate the performance of object detection models by comparing the predicted bounding boxes with ground truth annotations?

Question: 15

In the context of object detection, what is "fine-tuning"?

Question: 16

What is the primary goal of object detection in computer vision?

Question: 17

What is the main advantage of using deep learning-based object detection models over traditional methods?

Question: 18

Which object detection algorithm is known for its use of anchor boxes and feature pyramids to improve accuracy and localization?

Question: 19

What is the primary purpose of an object detection dataset like COCO (Common Objects in Context)?

Question: 20

Which object detection method is designed to detect and classify objects by sliding a window over an image and making predictions at each location?

Question: 21

Which object detection algorithm is known for its flexibility in handling objects of varying sizes and scales?

Question: 22

In object detection, what is the purpose of the "region proposal network" (RPN)?

Question: 23

Which of the following is an essential component of the R-CNN (Region-Based Convolutional Neural Network) family of object detection models?

Question: 24

What is the primary goal of anchor boxes in object detection?

Question: 25

Which object detection algorithm is based on the idea of generating anchor boxes of different aspect ratios and scales to detect objects?

Question: 26

In object detection, what is the primary purpose of non-maximum suppression (NMS)?

Question: 27

Which object detection algorithm is known for its two-stage approach, involving region proposal and object classification?

Question: 28

What is the primary advantage of using a one-stage object detection algorithm like YOLO or SSD?

Question: 29

Which of the following is an example of a one-stage object detection algorithm?

Question: 30

Which object detection technique is based on dividing an image into a grid and predicting the presence and position of objects within each grid cell?