Computer vision answers to the Synergy test (Test)

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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

Additional information

What is convolution in the context of computer vision?

• Computer type
• Image addition process
• Image processing operation using a kernel (or filter)
• Image storage method

What is image segmentation?

• The process of dividing an image into equal parts
• Image resizing operation
• The process of highlighting specific areas or objects in an image
• Technique to improve image brightness

What is semantic segmentation?

• Classification of each pixel of the image
• Classification of the entire image
• Combination of images

•Improving image contrast

What is the pooling layer in CNN?

• Increases image size
• Reduces image size while maintaining its basic characteristics
• Adds noise to the image
• Conducts image classification

What is a tensor in the context of image processing?

• Image shape
• Type of data in the database
• Multidimensional data array
• Graphics processor

What is epipolar geometry?

• Geometry of images obtained from two cameras
• Image scaling method
• Algorithm for edge detection
• Neural network type

What is CNN?

• Coded Neural Network
• Computer Neural Network
• Convolutional Neural Network
• Combined Neural Network

What is a GAN in the context of computer vision?

• Image generation algorithm
• Neural network optimization method
• Graphics adapter
• Data type for image analysis

What is ImageNet?

• Image processing program
• Image file format
• Large database of images for training
• A set of tools for working with images

What is optical flow?

• Method for determining the movement of objects between successive frames
• Image optimization technique for the web
• Algorithm for color balance correction
• Program for creating optical illusions

What is R-CNN?

• Regular Convolutional Neural Network
• Convolutional neural network for higher resolution
• Convolutional neural network for object detection
• Convolutional neural network for text classification

What is RGB?

• Battery Type
• Image editing program
• Color representation model based on three primary colors: red, green and blue
• Algorithm to reduce image noise

What is ROI in the context of computer vision?

• Return of Investment
• Region of Interest
• Rate of Improvement
• Range of Intensity

What is YOLO in the context of computer vision?

• Neural network type
• Contrast enhancement method
• Real-time object detection system
• Algorithm for image compression

In what format is the image presented on the computer?

• Text
• Pixel matrix
• Soundtrack
• Vector graphics

What is the Canny algorithm used for?

• Detection of object boundaries in an image
• Classification of objects in the image
• Image segmentation into regions

•Improve image contrast

What is the Haar Cascade algorithm used for?

• For voice recognition
• To detect faces in an image
• To correct color balance
• For image compression

What is the HOG (Histogram of Oriented Gradients) algorithm used for?

• To improve sound quality
• For fast image transfer
• For detecting objects, in particular human faces and silhouettes
• To create animated images