Computer Vision MCQ Test: Computer Vision MCQs - Practice Questions
1. What does ROI stand for in the context of computer vision?
2. Which term refers to the process of converting continuous image values into discrete levels?
3. What is the primary advantage of using an ensemble of models in computer vision tasks?
4. Which method is commonly used for image segmentation in medical imaging?
5. Which metric is commonly used for evaluating image classification models?
6. Which technique is commonly used for instance segmentation?
7. In computer vision, what is the purpose of a convolutional layer in a neural network?
8. Which image representation is commonly used for facial recognition applications?
9. Which method is commonly used for image forgery detection?
10. Which technique is commonly used for image captioning?
11. Which technique is commonly used for image thresholding?
12. What is the primary purpose of the SSIM (Structural Similarity Index) metric in image quality assessment?
13. What is the primary goal of feature extraction in computer vision?
14. What is the purpose of the Hough Transform in image processing?
15. What is the purpose of a filter in the context of image processing?
16. In the context of deep learning, what does CNN stand for?
17. What is the primary purpose of image segmentation in computer vision?
18. Which step is essential in the pre-processing of images for deep learning models?
19. Which technique is commonly used for image registration?
20. What is the purpose of the LSTMs (Long Short-Term Memory) in sequence-to-sequence tasks in computer vision?
21. Which technique is commonly used for removing noise from images?
22. In the context of image compression, what is the purpose of the discrete cosine transform (DCT)?
23. What is the purpose of the Batch Normalization layer in neural networks?
24. Which method is commonly used for image super-resolution?
25. Which term is commonly used to describe the process of reducing image size?
26. What is the purpose of non-maximum suppression in object detection algorithms?
27. What is the purpose of batch normalization in neural networks?
28. Which technique is commonly used for facial recognition in unconstrained environments?
29. What is the purpose of max pooling in convolutional neural networks?
30. What is the primary goal of the PASCAL VOC (Visual Object Classes) dataset?
31. In the context of deep learning, what is the significance of the vanishing gradient problem?
32. Which algorithm is commonly used for image stitching in panorama creation?
33. Which algorithm is commonly used for image segmentation?
34. Which metric is commonly used to evaluate the performance of object detection algorithms?
35. What is the significance of attention mechanisms in computer vision models?
36. What is the purpose of the FPN (Feature Pyramid Network) architecture in object detection?
37. Which type of neural network is commonly used for image classification?
38. In the context of image enhancement, what is the purpose of the Laplacian pyramid?
39. What is the purpose of the non-local means algorithm in image denoising?
40. Which term refers to the process of labeling pixels in an image with corresponding object classes?
41. Which technique is commonly used for image deblurring?
42. Which optimization technique is commonly used for training deep neural networks?
43. Which algorithm is commonly used for face recognition in computer vision applications?
44. Which type of neural network is commonly used for image generation?
45. What is the main purpose of image preprocessing in computer vision?
46. What is the primary goal of the COCO (Common Objects in Context) dataset?
47. Which technique is commonly used for image inpainting?
48. Which technique is commonly used for image dehazing?
49. Which method is commonly used for image recognition in the presence of occlusions?
50. Which technique is commonly used for image registration in medical imaging?