Computer vision answers to the Synergy test (Test)

Computer vision answers to the Synergy test (Test) 100 points
What is stereo vision?
• Depth perception using two cameras or eyes
• Ability to see in the dark
• Perception of moving objects
• Adaptation of vision to different lighting conditions
What is the Transfer Learning method used for?
• Transfer data between devices
• Using a pre-trained model for a new task
• Converting images to text
• Accelerate training of neural networks
What is SLAM technology used for?
• Text classification
• Constructing a map and determining the position of an object in space
• Video encoding
• Sound detection
What is the process of transforming an image so that it looks like it was drawn?
• Gamma correction
• Stylization
• Contrasting
• Binarization
Which statement applies to overfitting?
• The model performs poorly on both the training and test data sets.
• The model performs well on the training data set, but poorly on the test data set.
• The model performs poorly on the training dataset, but performs well on the test dataset.
• The model shows the same results on all data sets
What algorithm is commonly used to track objects in video?
•FFT
• K-means
• RANSAC
•MeanShift
Which method is used to correct image distortions?
• Gamma correction
• Histogram equalization
• Support Vector Machine
• Geometric correction
Which method is used to improve image quality?
• Segmentation
• Clustering
• Object detection
• Super resolution
Which method is used to reduce the dimensionality of image data?
• PCA (Principal Component Analysis)
• SVM (Support Vector Machine)
• RNN (Recurrent Neural Network)
•Dropout
Which method helps avoid model overtraining?
• Increasing the size of the model
• Data reduction
•Dropout
• Increased learning speed
Which method is a metric for assessing the quality of a model in a classification problem?
• Mean square error
• Accuracy
• Learning speed
•Frame frequency
What tool is often used to work with computer vision?
• Microsoft Word
• OpenCV
• Google Sheets
• PowerPoint
Which method is often used to identify key points in an image?
• R-CNN
•ResNet
•SIFT
• LSTM
Which method is often used to determine the shape of an object?
•Bar chart
• Ellipsoid
• Contour
• FFT (Fast Fourier Transform)
What is the main problem that an edge detection algorithm solves?
• Image classification
• Segmentation
• Detection of color or brightness transitions
•Improve image contrast
What does the term "pixel" mean?
• Unit of length
• Minimum unit of image, which is a single colored dot element.
• Network type for data transmission
• Drawing program
What is a cascade in the Haar Cascades algorithm?
• A set of sequential filters
• Neural network type
• Image optimization method
• Part of the image for analysis
What are the channels in an image?
• Various brightness levels
• Various viewing angles
• Various color components such as red, green and blue
• Different parts of the image, divided by content
What is "deep learning" in the context of computer vision?
• Tutored training
• Unsupervised learning
• Training on large neural networks
• Training on small data samples
What is data augmentation in the context of computer vision?
• Data reduction
• Modifying data to create new training examples
• Data classification
• Data compression
What is computer vision?
• Study of computer games
• Process of obtaining information from images
• Designing new computers
• Development of computer networks
What is a mask in the context of image processing?
• IP address masking utility
• The area of the image selected for analysis or processing
• Special protection layer for data
• Image compression type