Computer Vision MCQ Test: Computer Vision MCQs - Practice Questions
1. Which method is commonly used for image segmentation in medical imaging?
2. In computer vision, what is the purpose of a convolutional layer in a neural network?
3. What is the primary advantage of using transfer learning in computer vision?
4. Which term refers to the process of converting continuous image values into discrete levels?
5. Which method is commonly used for image forgery detection?
6. What is the primary purpose of transfer learning in computer vision?
7. What is the primary purpose of the SSIM (Structural Similarity Index) metric in image quality assessment?
8. In computer vision, what does the acronym OCR stand for?
9. In the context of image enhancement, what is the purpose of the Laplacian pyramid?
10. Which technique is commonly used for image inpainting?
11. Which technique is commonly used for instance segmentation?
12. What is the purpose of the Leaky ReLU activation function in neural networks?
13. Which metric is commonly used to evaluate the performance of object detection algorithms?
14. Which image representation is commonly used for facial recognition applications?
15. Which algorithm is commonly used for face recognition in computer vision applications?
16. What is the primary purpose of image segmentation in computer vision?
17. In the context of neural style transfer, what role does the content loss play?
18. What is the purpose of the SIFT (Scale-Invariant Feature Transform) algorithm in computer vision?
19. What is the purpose of the LSTMs (Long Short-Term Memory) in sequence-to-sequence tasks in computer vision?
20. Which technique is commonly used for facial landmark detection?
21. What is the purpose of a filter in the context of image processing?
22. What is the purpose of batch normalization in neural networks?
23. What is the primary goal of the PASCAL VOC (Visual Object Classes) dataset?
24. Which technique is commonly used for facial recognition in unconstrained environments?
25. What is the purpose of max pooling in convolutional neural networks?
26. What is the main purpose of image preprocessing in computer vision?
27. What is the purpose of the FPN (Feature Pyramid Network) architecture in object detection?
28. Which algorithm is commonly used for image stitching in panorama creation?
29. Which technique is commonly used for image colorization?
30. What is the significance of attention mechanisms in computer vision models?
31. Which method is commonly used for camera calibration in computer vision?
32. Which term is commonly used to describe the process of reducing image size?
33. In the context of object detection, what is the significance of anchor boxes?
34. Which type of neural network is commonly used for image generation?
35. Which technique is commonly used for image captioning?
36. Which neural network architecture is commonly used for semantic segmentation tasks?
37. What is the primary purpose of the VGG (Visual Geometry Group) network architecture?
38. What is the primary goal of the COCO (Common Objects in Context) dataset?
39. Which technique is commonly used for object detection in images?
40. Which method is commonly used for image recognition in the presence of occlusions?
41. Which method is commonly used for image super-resolution?
42. Which technique is commonly used for image deblurring?
43. Which technique is commonly used for depth estimation in stereo vision?
44. Which technique is commonly used for image registration in medical imaging?
45. Which optimization technique is commonly used for training deep neural networks?
46. Which algorithm is commonly used for image segmentation?
47. What is the purpose of a kernel in the context of convolutional neural networks?
48. Which step is essential in the pre-processing of images for deep learning models?
49. In the context of image compression, what is the purpose of the discrete cosine transform (DCT)?
50. Which technique is commonly used for fine-grained image classification?