Computer Vision MCQ Test: Computer Vision MCQs - Practice Questions
1. Which type of neural network is commonly used for image classification?
2. Which image representation is commonly used for facial recognition applications?
3. Which technique is commonly used for image thresholding?
4. Which neural network architecture is commonly used for semantic segmentation tasks?
5. What is the purpose of the activation function in a neural network?
6. What is the primary advantage of using an ensemble of models in computer vision tasks?
7. Which technique is commonly used for facial landmark detection?
8. In the context of object detection, what is the significance of anchor boxes?
9. Which technique is commonly used for image inpainting?
10. Which algorithm is commonly used for face recognition in computer vision applications?
11. Which image representation is commonly used for feature matching in computer vision?
12. Which term refers to the process of labeling pixels in an image with corresponding object classes?
13. In the context of image compression, what is the purpose of the discrete cosine transform (DCT)?
14. Which term refers to the process of converting continuous image values into discrete levels?
15. In the context of image enhancement, what is the purpose of the Laplacian pyramid?
16. What is the primary advantage of using dilated convolutions in convolutional neural networks?
17. Which method is commonly used for image super-resolution?
18. What is the purpose of the non-local means algorithm in image denoising?
19. What is the significance of attention mechanisms in computer vision models?
20. In the context of neural style transfer, what role does the content loss play?
21. What is the purpose of the intersection over union (IoU) metric in object detection evaluation?
22. What is the purpose of the Leaky ReLU activation function in neural networks?
23. Which method is commonly used for unsupervised learning in computer vision?
24. What is the purpose of the R-CNN (Region-based Convolutional Neural Network) architecture in object detection?
25. Which technique is commonly used for image colorization?
26. What is the purpose of the softmax activation function in neural networks?
27.
28. What is the primary purpose of the VGG (Visual Geometry Group) network architecture?
29. What is the primary goal of the PASCAL VOC (Visual Object Classes) dataset?
30. Which technique is commonly used for object detection in images?
31. What does ROI stand for in the context of computer vision?
32. What is the primary goal of the COCO (Common Objects in Context) dataset?
33. Which term is commonly used to describe the process of reducing image size?
34. Which technique is commonly used for image captioning?
35. Which deep learning framework is commonly used for computer vision tasks?
36. In the context of deep learning, what does CNN stand for?
37. Which metric is commonly used to evaluate the performance of object detection algorithms?
38. What is the purpose of the Mean-Shift algorithm in image segmentation?
39. Which technique is commonly used for fine-grained image classification?
40. What is the primary goal of feature extraction in computer vision?